2022/08/13 07:27:51 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/08/13 07:29:50 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.0070e-02 eta: 13 days, 5:55:47 time: 0.2728 data_time: 0.0121 memory: 6334 grad_norm: 3.7528 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0151 loss: 6.0151 2022/08/13 07:30:19 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.0140e-02 eta: 8 days, 5:50:00 time: 0.2720 data_time: 0.0133 memory: 6334 grad_norm: 3.6484 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8333 loss: 5.8333 2022/08/13 07:30:47 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.0211e-02 eta: 6 days, 12:25:53 time: 0.2801 data_time: 0.0154 memory: 6334 grad_norm: 3.4919 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9027 loss: 5.9027 2022/08/13 07:31:14 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.0281e-02 eta: 5 days, 15:42:18 time: 0.2731 data_time: 0.0129 memory: 6334 grad_norm: 3.4122 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7560 loss: 5.7560 2022/08/13 07:31:42 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.0352e-02 eta: 5 days, 3:11:54 time: 0.2737 data_time: 0.0162 memory: 6334 grad_norm: 3.2326 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7591 loss: 5.7591 2022/08/13 07:32:09 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.0422e-02 eta: 4 days, 18:58:49 time: 0.2735 data_time: 0.0131 memory: 6334 grad_norm: 3.1868 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7686 loss: 5.7686 2022/08/13 07:32:37 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.0492e-02 eta: 4 days, 13:02:04 time: 0.2734 data_time: 0.0130 memory: 6334 grad_norm: 3.1001 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6053 loss: 5.6053 2022/08/13 07:33:04 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.0563e-02 eta: 4 days, 8:38:30 time: 0.2762 data_time: 0.0134 memory: 6334 grad_norm: 3.0524 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4153 loss: 5.4153 2022/08/13 07:33:32 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.0633e-02 eta: 4 days, 5:17:50 time: 0.2746 data_time: 0.0138 memory: 6334 grad_norm: 3.0340 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5792 loss: 5.5792 2022/08/13 07:34:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:34:00 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.0704e-02 eta: 4 days, 2:31:50 time: 0.2729 data_time: 0.0131 memory: 6334 grad_norm: 2.9199 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6374 loss: 5.6374 2022/08/13 07:34:28 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.0774e-02 eta: 4 days, 0:17:14 time: 0.2734 data_time: 0.0132 memory: 6334 grad_norm: 2.9356 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5481 loss: 5.5481 2022/08/13 07:34:56 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.0845e-02 eta: 3 days, 22:28:42 time: 0.2935 data_time: 0.0131 memory: 6334 grad_norm: 2.8785 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6158 loss: 5.6158 2022/08/13 07:35:23 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.0915e-02 eta: 3 days, 20:53:54 time: 0.2769 data_time: 0.0136 memory: 6334 grad_norm: 2.8895 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4434 loss: 5.4434 2022/08/13 07:35:51 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.0986e-02 eta: 3 days, 19:31:17 time: 0.2750 data_time: 0.0133 memory: 6334 grad_norm: 2.7901 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6772 loss: 5.6772 2022/08/13 07:36:19 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.1056e-02 eta: 3 days, 18:22:54 time: 0.2745 data_time: 0.0131 memory: 6334 grad_norm: 2.7958 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6411 loss: 5.6411 2022/08/13 07:36:47 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.1127e-02 eta: 3 days, 17:21:19 time: 0.2748 data_time: 0.0151 memory: 6334 grad_norm: 2.7358 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4709 loss: 5.4709 2022/08/13 07:37:15 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.1197e-02 eta: 3 days, 16:33:07 time: 0.3098 data_time: 0.0142 memory: 6334 grad_norm: 2.7655 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3824 loss: 5.3824 2022/08/13 07:37:43 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.1268e-02 eta: 3 days, 15:47:53 time: 0.2743 data_time: 0.0141 memory: 6334 grad_norm: 2.7336 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7157 loss: 5.7157 2022/08/13 07:38:11 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.1338e-02 eta: 3 days, 15:02:19 time: 0.2767 data_time: 0.0128 memory: 6334 grad_norm: 2.6895 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3116 loss: 5.3116 2022/08/13 07:38:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:38:39 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.1408e-02 eta: 3 days, 14:26:09 time: 0.2739 data_time: 0.0141 memory: 6334 grad_norm: 2.7379 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4162 loss: 5.4162 2022/08/13 07:39:07 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.1479e-02 eta: 3 days, 13:48:23 time: 0.2744 data_time: 0.0141 memory: 6334 grad_norm: 2.6680 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3896 loss: 5.3896 2022/08/13 07:39:35 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.1549e-02 eta: 3 days, 13:19:06 time: 0.3032 data_time: 0.0160 memory: 6334 grad_norm: 2.6561 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4326 loss: 5.4326 2022/08/13 07:40:03 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.1620e-02 eta: 3 days, 12:49:10 time: 0.2762 data_time: 0.0145 memory: 6334 grad_norm: 2.7009 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4007 loss: 5.4007 2022/08/13 07:40:31 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.1690e-02 eta: 3 days, 12:21:16 time: 0.2733 data_time: 0.0128 memory: 6334 grad_norm: 2.5915 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3179 loss: 5.3179 2022/08/13 07:40:58 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.1761e-02 eta: 3 days, 11:56:12 time: 0.2728 data_time: 0.0140 memory: 6334 grad_norm: 2.6168 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3139 loss: 5.3139 2022/08/13 07:41:26 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.1831e-02 eta: 3 days, 11:31:55 time: 0.2758 data_time: 0.0156 memory: 6334 grad_norm: 2.6386 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3050 loss: 5.3050 2022/08/13 07:41:54 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.1902e-02 eta: 3 days, 11:13:00 time: 0.2940 data_time: 0.0158 memory: 6334 grad_norm: 2.6855 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3959 loss: 5.3959 2022/08/13 07:42:22 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.1972e-02 eta: 3 days, 10:53:01 time: 0.2767 data_time: 0.0152 memory: 6334 grad_norm: 2.5782 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2522 loss: 5.2522 2022/08/13 07:42:50 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.2043e-02 eta: 3 days, 10:34:15 time: 0.2751 data_time: 0.0154 memory: 6334 grad_norm: 2.6355 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4459 loss: 5.4459 2022/08/13 07:43:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:43:18 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.2113e-02 eta: 3 days, 10:16:51 time: 0.2756 data_time: 0.0153 memory: 6334 grad_norm: 2.5963 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3694 loss: 5.3694 2022/08/13 07:43:45 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.2183e-02 eta: 3 days, 10:00:13 time: 0.2739 data_time: 0.0146 memory: 6334 grad_norm: 2.4647 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2609 loss: 5.2609 2022/08/13 07:44:13 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.2254e-02 eta: 3 days, 9:45:19 time: 0.2800 data_time: 0.0164 memory: 6334 grad_norm: 2.4831 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3199 loss: 5.3199 2022/08/13 07:44:41 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.2324e-02 eta: 3 days, 9:31:05 time: 0.2754 data_time: 0.0150 memory: 6334 grad_norm: 2.5179 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3222 loss: 5.3222 2022/08/13 07:45:09 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.2395e-02 eta: 3 days, 9:16:50 time: 0.2750 data_time: 0.0152 memory: 6334 grad_norm: 2.5135 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3451 loss: 5.3451 2022/08/13 07:45:37 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.2465e-02 eta: 3 days, 9:04:31 time: 0.2838 data_time: 0.0189 memory: 6334 grad_norm: 2.5893 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4824 loss: 5.4824 2022/08/13 07:46:05 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.2536e-02 eta: 3 days, 8:51:55 time: 0.2766 data_time: 0.0151 memory: 6334 grad_norm: 2.5475 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2050 loss: 5.2050 2022/08/13 07:46:32 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.2606e-02 eta: 3 days, 8:39:41 time: 0.2748 data_time: 0.0148 memory: 6334 grad_norm: 2.5081 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1545 loss: 5.1545 2022/08/13 07:46:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:46:48 - mmengine - INFO - Epoch(train) [1][3757/3757] lr: 1.2646e-02 eta: 3 days, 8:35:32 time: 0.2568 data_time: 0.0120 memory: 6334 grad_norm: 2.4689 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 5.3534 loss: 5.3534 2022/08/13 07:47:18 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.2716e-02 eta: 3 days, 8:12:08 time: 0.2849 data_time: 0.0160 memory: 6334 grad_norm: 2.4352 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1824 loss: 5.1824 2022/08/13 07:47:46 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.2787e-02 eta: 3 days, 8:02:04 time: 0.2770 data_time: 0.0142 memory: 6334 grad_norm: 2.4789 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3655 loss: 5.3655 2022/08/13 07:47:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:48:13 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.2857e-02 eta: 3 days, 7:52:59 time: 0.2833 data_time: 0.0152 memory: 6334 grad_norm: 2.4875 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2247 loss: 5.2247 2022/08/13 07:48:42 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.2928e-02 eta: 3 days, 7:45:34 time: 0.2788 data_time: 0.0153 memory: 6334 grad_norm: 2.4476 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3255 loss: 5.3255 2022/08/13 07:49:10 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.2998e-02 eta: 3 days, 7:38:38 time: 0.2771 data_time: 0.0168 memory: 6334 grad_norm: 2.4542 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3540 loss: 5.3540 2022/08/13 07:49:38 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.3069e-02 eta: 3 days, 7:32:15 time: 0.2989 data_time: 0.0173 memory: 6334 grad_norm: 2.4437 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1469 loss: 5.1469 2022/08/13 07:50:06 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.3139e-02 eta: 3 days, 7:24:20 time: 0.2764 data_time: 0.0199 memory: 6334 grad_norm: 2.4267 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2376 loss: 5.2376 2022/08/13 07:50:34 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.3210e-02 eta: 3 days, 7:17:57 time: 0.2853 data_time: 0.0203 memory: 6334 grad_norm: 2.4212 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 5.2699 loss: 5.2699 2022/08/13 07:51:02 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.3280e-02 eta: 3 days, 7:10:57 time: 0.2754 data_time: 0.0164 memory: 6334 grad_norm: 2.4320 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1317 loss: 5.1317 2022/08/13 07:51:30 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.3350e-02 eta: 3 days, 7:04:13 time: 0.2762 data_time: 0.0151 memory: 6334 grad_norm: 2.3564 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1273 loss: 5.1273 2022/08/13 07:51:59 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.3421e-02 eta: 3 days, 7:00:11 time: 0.2943 data_time: 0.0179 memory: 6334 grad_norm: 2.3274 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2297 loss: 5.2297 2022/08/13 07:52:27 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.3491e-02 eta: 3 days, 6:53:32 time: 0.2771 data_time: 0.0164 memory: 6334 grad_norm: 2.4203 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1630 loss: 5.1630 2022/08/13 07:52:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:52:55 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.3562e-02 eta: 3 days, 6:48:51 time: 0.2970 data_time: 0.0190 memory: 6334 grad_norm: 2.4202 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2312 loss: 5.2312 2022/08/13 07:53:23 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.3632e-02 eta: 3 days, 6:42:39 time: 0.2752 data_time: 0.0150 memory: 6334 grad_norm: 2.3340 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3647 loss: 5.3647 2022/08/13 07:53:51 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.3703e-02 eta: 3 days, 6:36:52 time: 0.2760 data_time: 0.0157 memory: 6334 grad_norm: 2.3274 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.0350 loss: 5.0350 2022/08/13 07:54:19 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.3773e-02 eta: 3 days, 6:32:21 time: 0.2882 data_time: 0.0160 memory: 6334 grad_norm: 2.3327 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2902 loss: 5.2902 2022/08/13 07:54:47 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.3844e-02 eta: 3 days, 6:26:56 time: 0.2764 data_time: 0.0171 memory: 6334 grad_norm: 2.3710 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.3070 loss: 5.3070 2022/08/13 07:55:15 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.3914e-02 eta: 3 days, 6:22:46 time: 0.2864 data_time: 0.0167 memory: 6334 grad_norm: 2.3427 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2431 loss: 5.2431 2022/08/13 07:55:43 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.3985e-02 eta: 3 days, 6:17:57 time: 0.2761 data_time: 0.0163 memory: 6334 grad_norm: 2.2755 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9681 loss: 4.9681 2022/08/13 07:56:11 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.4055e-02 eta: 3 days, 6:13:24 time: 0.2753 data_time: 0.0164 memory: 6334 grad_norm: 2.3787 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0930 loss: 5.0930 2022/08/13 07:56:39 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.4125e-02 eta: 3 days, 6:09:09 time: 0.2887 data_time: 0.0182 memory: 6334 grad_norm: 2.3300 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1947 loss: 5.1947 2022/08/13 07:57:07 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.4196e-02 eta: 3 days, 6:04:13 time: 0.2756 data_time: 0.0153 memory: 6334 grad_norm: 2.3703 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0336 loss: 5.0336 2022/08/13 07:57:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 07:57:35 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.4266e-02 eta: 3 days, 6:00:00 time: 0.2846 data_time: 0.0167 memory: 6334 grad_norm: 2.3227 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8689 loss: 4.8689 2022/08/13 07:58:03 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.4337e-02 eta: 3 days, 5:56:19 time: 0.2751 data_time: 0.0155 memory: 6334 grad_norm: 2.2772 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3546 loss: 5.3546 2022/08/13 07:58:31 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.4407e-02 eta: 3 days, 5:52:04 time: 0.2747 data_time: 0.0159 memory: 6334 grad_norm: 2.2697 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2447 loss: 5.2447 2022/08/13 07:58:59 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.4478e-02 eta: 3 days, 5:49:15 time: 0.2947 data_time: 0.0171 memory: 6334 grad_norm: 2.3037 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.0256 loss: 5.0256 2022/08/13 07:59:27 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.4548e-02 eta: 3 days, 5:45:31 time: 0.2761 data_time: 0.0157 memory: 6334 grad_norm: 2.3233 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1788 loss: 5.1788 2022/08/13 07:59:56 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.4619e-02 eta: 3 days, 5:42:17 time: 0.2905 data_time: 0.0235 memory: 6334 grad_norm: 2.4928 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0755 loss: 5.0755 2022/08/13 08:00:24 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.4689e-02 eta: 3 days, 5:38:54 time: 0.2758 data_time: 0.0166 memory: 6334 grad_norm: 2.2387 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1652 loss: 5.1652 2022/08/13 08:00:52 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.4760e-02 eta: 3 days, 5:36:16 time: 0.2765 data_time: 0.0155 memory: 6334 grad_norm: 2.2629 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2467 loss: 5.2467 2022/08/13 08:01:20 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.4830e-02 eta: 3 days, 5:33:42 time: 0.2980 data_time: 0.0169 memory: 6334 grad_norm: 2.2526 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2097 loss: 5.2097 2022/08/13 08:01:48 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.4900e-02 eta: 3 days, 5:30:15 time: 0.2850 data_time: 0.0147 memory: 6334 grad_norm: 2.2899 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0916 loss: 5.0916 2022/08/13 08:02:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:02:16 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.4971e-02 eta: 3 days, 5:27:01 time: 0.2811 data_time: 0.0178 memory: 6334 grad_norm: 2.2679 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1672 loss: 5.1672 2022/08/13 08:02:44 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.5041e-02 eta: 3 days, 5:23:31 time: 0.2758 data_time: 0.0161 memory: 6334 grad_norm: 2.2251 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.0777 loss: 5.0777 2022/08/13 08:03:12 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.5112e-02 eta: 3 days, 5:20:37 time: 0.2772 data_time: 0.0162 memory: 6334 grad_norm: 2.3412 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2047 loss: 5.2047 2022/08/13 08:03:40 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.5182e-02 eta: 3 days, 5:17:26 time: 0.2807 data_time: 0.0184 memory: 6334 grad_norm: 2.2705 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2668 loss: 5.2668 2022/08/13 08:04:08 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.5253e-02 eta: 3 days, 5:14:36 time: 0.2781 data_time: 0.0160 memory: 6334 grad_norm: 2.3085 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0343 loss: 5.0343 2022/08/13 08:04:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:04:24 - mmengine - INFO - Epoch(train) [2][3757/3757] lr: 1.5293e-02 eta: 3 days, 5:13:43 time: 0.2568 data_time: 0.0136 memory: 6334 grad_norm: 2.2531 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1592 loss: 5.1592 2022/08/13 08:04:54 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.5362e-02 eta: 3 days, 5:04:31 time: 0.2748 data_time: 0.0155 memory: 6334 grad_norm: 2.2282 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9822 loss: 4.9822 2022/08/13 08:05:22 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.5432e-02 eta: 3 days, 5:02:12 time: 0.2816 data_time: 0.0178 memory: 6334 grad_norm: 2.2464 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2103 loss: 5.2103 2022/08/13 08:05:50 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.5502e-02 eta: 3 days, 4:59:31 time: 0.2792 data_time: 0.0172 memory: 6334 grad_norm: 2.2413 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0879 loss: 5.0879 2022/08/13 08:06:18 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.5573e-02 eta: 3 days, 4:57:12 time: 0.2812 data_time: 0.0163 memory: 6334 grad_norm: 2.2950 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1082 loss: 5.1082 2022/08/13 08:06:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:06:46 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.5643e-02 eta: 3 days, 4:54:39 time: 0.2758 data_time: 0.0158 memory: 6334 grad_norm: 2.2853 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 5.0896 loss: 5.0896 2022/08/13 08:07:14 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.5714e-02 eta: 3 days, 4:51:58 time: 0.2765 data_time: 0.0163 memory: 6334 grad_norm: 2.2518 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8307 loss: 4.8307 2022/08/13 08:07:43 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.5784e-02 eta: 3 days, 4:50:43 time: 0.2759 data_time: 0.0149 memory: 6334 grad_norm: 2.2115 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0767 loss: 5.0767 2022/08/13 08:08:11 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.5855e-02 eta: 3 days, 4:48:13 time: 0.2765 data_time: 0.0165 memory: 6334 grad_norm: 2.2859 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 5.2002 loss: 5.2002 2022/08/13 08:08:39 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.5925e-02 eta: 3 days, 4:46:41 time: 0.2986 data_time: 0.0164 memory: 6334 grad_norm: 2.1999 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2547 loss: 5.2547 2022/08/13 08:09:07 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.5996e-02 eta: 3 days, 4:44:07 time: 0.2765 data_time: 0.0154 memory: 6334 grad_norm: 2.2336 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0513 loss: 5.0513 2022/08/13 08:09:35 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.6066e-02 eta: 3 days, 4:41:36 time: 0.2760 data_time: 0.0158 memory: 6334 grad_norm: 2.2270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9662 loss: 4.9662 2022/08/13 08:10:03 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.6137e-02 eta: 3 days, 4:39:42 time: 0.2761 data_time: 0.0166 memory: 6334 grad_norm: 2.1672 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.0018 loss: 5.0018 2022/08/13 08:10:31 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.6207e-02 eta: 3 days, 4:37:23 time: 0.2784 data_time: 0.0154 memory: 6334 grad_norm: 2.2799 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2513 loss: 5.2513 2022/08/13 08:10:59 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.6277e-02 eta: 3 days, 4:35:27 time: 0.2868 data_time: 0.0170 memory: 6334 grad_norm: 2.2471 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0901 loss: 5.0901 2022/08/13 08:11:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:11:27 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.6348e-02 eta: 3 days, 4:33:13 time: 0.2808 data_time: 0.0154 memory: 6334 grad_norm: 2.2122 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1290 loss: 5.1290 2022/08/13 08:11:55 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.6418e-02 eta: 3 days, 4:31:11 time: 0.2767 data_time: 0.0166 memory: 6334 grad_norm: 2.2154 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8236 loss: 4.8236 2022/08/13 08:12:23 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.6489e-02 eta: 3 days, 4:29:00 time: 0.2761 data_time: 0.0160 memory: 6334 grad_norm: 2.2813 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0784 loss: 5.0784 2022/08/13 08:12:51 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.6559e-02 eta: 3 days, 4:26:58 time: 0.2780 data_time: 0.0160 memory: 6334 grad_norm: 2.2297 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0845 loss: 5.0845 2022/08/13 08:13:20 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.6630e-02 eta: 3 days, 4:26:07 time: 0.2897 data_time: 0.0168 memory: 6334 grad_norm: 2.1943 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0233 loss: 5.0233 2022/08/13 08:13:48 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.6700e-02 eta: 3 days, 4:24:54 time: 0.2771 data_time: 0.0168 memory: 6334 grad_norm: 2.3029 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 5.0247 loss: 5.0247 2022/08/13 08:14:17 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.6771e-02 eta: 3 days, 4:24:09 time: 0.3173 data_time: 0.0172 memory: 6334 grad_norm: 2.2425 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1269 loss: 5.1269 2022/08/13 08:14:45 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.6841e-02 eta: 3 days, 4:22:02 time: 0.2765 data_time: 0.0158 memory: 6334 grad_norm: 2.2183 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.9029 loss: 4.9029 2022/08/13 08:15:13 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.6911e-02 eta: 3 days, 4:20:00 time: 0.2758 data_time: 0.0157 memory: 6334 grad_norm: 2.2272 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6765 loss: 4.6765 2022/08/13 08:15:41 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.6982e-02 eta: 3 days, 4:18:22 time: 0.2864 data_time: 0.0190 memory: 6334 grad_norm: 2.2891 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0180 loss: 5.0180 2022/08/13 08:16:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:16:09 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.7052e-02 eta: 3 days, 4:16:29 time: 0.2770 data_time: 0.0156 memory: 6334 grad_norm: 2.2481 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.8137 loss: 4.8137 2022/08/13 08:16:37 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.7123e-02 eta: 3 days, 4:14:46 time: 0.2858 data_time: 0.0182 memory: 6334 grad_norm: 2.2131 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0169 loss: 5.0169 2022/08/13 08:17:05 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.7193e-02 eta: 3 days, 4:13:38 time: 0.2764 data_time: 0.0164 memory: 6334 grad_norm: 2.1841 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1677 loss: 5.1677 2022/08/13 08:17:33 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.7264e-02 eta: 3 days, 4:11:38 time: 0.2757 data_time: 0.0155 memory: 6334 grad_norm: 2.1909 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9651 loss: 4.9651 2022/08/13 08:18:02 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.7334e-02 eta: 3 days, 4:10:45 time: 0.3025 data_time: 0.0176 memory: 6334 grad_norm: 2.1811 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8604 loss: 4.8604 2022/08/13 08:18:30 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.7405e-02 eta: 3 days, 4:09:24 time: 0.2798 data_time: 0.0169 memory: 6334 grad_norm: 2.2119 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8734 loss: 4.8734 2022/08/13 08:18:59 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.7475e-02 eta: 3 days, 4:08:20 time: 0.2801 data_time: 0.0189 memory: 6334 grad_norm: 2.1670 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0596 loss: 5.0596 2022/08/13 08:19:26 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.7545e-02 eta: 3 days, 4:06:19 time: 0.2776 data_time: 0.0155 memory: 6334 grad_norm: 2.2850 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8662 loss: 4.8662 2022/08/13 08:19:54 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.7616e-02 eta: 3 days, 4:04:34 time: 0.2762 data_time: 0.0167 memory: 6334 grad_norm: 2.1265 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0285 loss: 5.0285 2022/08/13 08:20:23 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.7686e-02 eta: 3 days, 4:03:30 time: 0.2745 data_time: 0.0162 memory: 6334 grad_norm: 2.1560 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0548 loss: 5.0548 2022/08/13 08:20:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:20:51 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.7757e-02 eta: 3 days, 4:01:43 time: 0.2795 data_time: 0.0160 memory: 6334 grad_norm: 2.2065 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8245 loss: 4.8245 2022/08/13 08:21:19 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.7827e-02 eta: 3 days, 4:00:12 time: 0.2851 data_time: 0.0155 memory: 6334 grad_norm: 2.2147 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9509 loss: 4.9509 2022/08/13 08:21:47 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.7898e-02 eta: 3 days, 3:58:35 time: 0.2775 data_time: 0.0170 memory: 6334 grad_norm: 2.1725 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9841 loss: 4.9841 2022/08/13 08:22:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:22:02 - mmengine - INFO - Epoch(train) [3][3757/3757] lr: 1.7938e-02 eta: 3 days, 3:58:28 time: 0.2532 data_time: 0.0132 memory: 6334 grad_norm: 2.2288 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 5.0140 loss: 5.0140 2022/08/13 08:22:32 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.8005e-02 eta: 3 days, 3:52:26 time: 0.2759 data_time: 0.0158 memory: 6334 grad_norm: 2.2153 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0012 loss: 5.0012 2022/08/13 08:23:01 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.8075e-02 eta: 3 days, 3:51:32 time: 0.2933 data_time: 0.0173 memory: 6334 grad_norm: 2.1087 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9353 loss: 4.9353 2022/08/13 08:23:29 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.8146e-02 eta: 3 days, 3:49:49 time: 0.2754 data_time: 0.0154 memory: 6334 grad_norm: 2.1579 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7879 loss: 4.7879 2022/08/13 08:23:56 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.8216e-02 eta: 3 days, 3:48:07 time: 0.2762 data_time: 0.0165 memory: 6334 grad_norm: 2.1848 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0280 loss: 5.0280 2022/08/13 08:24:25 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.8287e-02 eta: 3 days, 3:47:02 time: 0.2761 data_time: 0.0151 memory: 6334 grad_norm: 2.2138 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8913 loss: 4.8913 2022/08/13 08:24:53 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.8357e-02 eta: 3 days, 3:45:51 time: 0.2757 data_time: 0.0168 memory: 6334 grad_norm: 2.1758 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9028 loss: 4.9028 2022/08/13 08:25:21 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.8427e-02 eta: 3 days, 3:44:23 time: 0.2822 data_time: 0.0173 memory: 6334 grad_norm: 2.1822 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8236 loss: 4.8236 2022/08/13 08:25:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:25:49 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.8498e-02 eta: 3 days, 3:42:45 time: 0.2756 data_time: 0.0158 memory: 6334 grad_norm: 2.1732 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8065 loss: 4.8065 2022/08/13 08:26:16 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.8568e-02 eta: 3 days, 3:41:03 time: 0.2766 data_time: 0.0164 memory: 6334 grad_norm: 2.0908 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1233 loss: 5.1233 2022/08/13 08:26:45 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.8639e-02 eta: 3 days, 3:39:55 time: 0.2757 data_time: 0.0157 memory: 6334 grad_norm: 2.1987 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5811 loss: 4.5811 2022/08/13 08:27:13 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.8709e-02 eta: 3 days, 3:38:41 time: 0.2765 data_time: 0.0155 memory: 6334 grad_norm: 2.2151 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8278 loss: 4.8278 2022/08/13 08:27:41 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.8780e-02 eta: 3 days, 3:37:48 time: 0.2870 data_time: 0.0163 memory: 6334 grad_norm: 2.1678 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8923 loss: 4.8923 2022/08/13 08:28:09 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.8850e-02 eta: 3 days, 3:36:49 time: 0.2768 data_time: 0.0166 memory: 6334 grad_norm: 2.1419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.5100 loss: 4.5100 2022/08/13 08:28:38 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.8921e-02 eta: 3 days, 3:35:56 time: 0.2962 data_time: 0.0186 memory: 6334 grad_norm: 2.2191 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8145 loss: 4.8145 2022/08/13 08:29:06 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.8991e-02 eta: 3 days, 3:34:35 time: 0.2781 data_time: 0.0167 memory: 6334 grad_norm: 2.2000 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6008 loss: 4.6008 2022/08/13 08:29:34 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.9061e-02 eta: 3 days, 3:33:09 time: 0.2751 data_time: 0.0156 memory: 6334 grad_norm: 2.1583 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7374 loss: 4.7374 2022/08/13 08:30:02 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.9132e-02 eta: 3 days, 3:31:56 time: 0.2841 data_time: 0.0177 memory: 6334 grad_norm: 2.1369 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8457 loss: 4.8457 2022/08/13 08:30:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:30:30 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.9202e-02 eta: 3 days, 3:30:41 time: 0.2768 data_time: 0.0170 memory: 6334 grad_norm: 2.1394 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.6588 loss: 4.6588 2022/08/13 08:30:58 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.9273e-02 eta: 3 days, 3:30:02 time: 0.2890 data_time: 0.0170 memory: 6334 grad_norm: 2.1642 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7085 loss: 4.7085 2022/08/13 08:31:26 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.9343e-02 eta: 3 days, 3:28:46 time: 0.2765 data_time: 0.0169 memory: 6334 grad_norm: 2.0999 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5946 loss: 4.5946 2022/08/13 08:31:54 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.9414e-02 eta: 3 days, 3:27:21 time: 0.2756 data_time: 0.0156 memory: 6334 grad_norm: 2.1583 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7653 loss: 4.7653 2022/08/13 08:32:22 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.9484e-02 eta: 3 days, 3:26:11 time: 0.2826 data_time: 0.0169 memory: 6334 grad_norm: 2.0899 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.6057 loss: 4.6057 2022/08/13 08:32:51 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.9554e-02 eta: 3 days, 3:25:34 time: 0.2789 data_time: 0.0161 memory: 6334 grad_norm: 2.1641 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7828 loss: 4.7828 2022/08/13 08:33:19 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.9625e-02 eta: 3 days, 3:24:24 time: 0.2832 data_time: 0.0188 memory: 6334 grad_norm: 2.1557 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9350 loss: 4.9350 2022/08/13 08:33:47 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.9695e-02 eta: 3 days, 3:23:17 time: 0.2781 data_time: 0.0163 memory: 6334 grad_norm: 2.1587 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6852 loss: 4.6852 2022/08/13 08:34:15 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.9766e-02 eta: 3 days, 3:22:08 time: 0.2765 data_time: 0.0164 memory: 6334 grad_norm: 2.1003 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6901 loss: 4.6901 2022/08/13 08:34:43 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.9836e-02 eta: 3 days, 3:21:04 time: 0.2882 data_time: 0.0182 memory: 6334 grad_norm: 2.1988 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7801 loss: 4.7801 2022/08/13 08:34:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:35:11 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.9907e-02 eta: 3 days, 3:20:20 time: 0.2773 data_time: 0.0188 memory: 6334 grad_norm: 2.1348 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5497 loss: 4.5497 2022/08/13 08:35:40 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.9977e-02 eta: 3 days, 3:19:36 time: 0.2989 data_time: 0.0179 memory: 6334 grad_norm: 2.1528 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7398 loss: 4.7398 2022/08/13 08:36:08 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 2.0047e-02 eta: 3 days, 3:18:38 time: 0.2767 data_time: 0.0194 memory: 6334 grad_norm: 2.1740 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7332 loss: 4.7332 2022/08/13 08:36:36 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 2.0118e-02 eta: 3 days, 3:17:42 time: 0.2771 data_time: 0.0157 memory: 6334 grad_norm: 2.1715 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7420 loss: 4.7420 2022/08/13 08:37:05 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 2.0188e-02 eta: 3 days, 3:17:25 time: 0.2762 data_time: 0.0164 memory: 6334 grad_norm: 2.1721 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7392 loss: 4.7392 2022/08/13 08:37:33 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 2.0259e-02 eta: 3 days, 3:16:33 time: 0.2777 data_time: 0.0154 memory: 6334 grad_norm: 2.1068 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6508 loss: 4.6508 2022/08/13 08:38:02 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 2.0329e-02 eta: 3 days, 3:16:29 time: 0.2877 data_time: 0.0184 memory: 6334 grad_norm: 2.2028 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6480 loss: 4.6480 2022/08/13 08:38:30 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 2.0400e-02 eta: 3 days, 3:15:12 time: 0.2754 data_time: 0.0163 memory: 6334 grad_norm: 2.1435 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7119 loss: 4.7119 2022/08/13 08:38:58 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 2.0470e-02 eta: 3 days, 3:14:12 time: 0.2819 data_time: 0.0167 memory: 6334 grad_norm: 2.1470 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6399 loss: 4.6399 2022/08/13 08:39:27 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 2.0540e-02 eta: 3 days, 3:13:37 time: 0.2769 data_time: 0.0149 memory: 6334 grad_norm: 2.1743 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.7243 loss: 4.7243 2022/08/13 08:39:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:39:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:39:43 - mmengine - INFO - Epoch(train) [4][3757/3757] lr: 2.0581e-02 eta: 3 days, 3:13:07 time: 0.2818 data_time: 0.0150 memory: 6334 grad_norm: 2.0894 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 4.7907 loss: 4.7907 2022/08/13 08:39:43 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/13 08:40:16 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 2.0646e-02 eta: 3 days, 3:07:55 time: 0.2761 data_time: 0.0160 memory: 6334 grad_norm: 2.1646 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6809 loss: 4.6809 2022/08/13 08:40:44 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 2.0716e-02 eta: 3 days, 3:06:53 time: 0.2812 data_time: 0.0176 memory: 6334 grad_norm: 2.1369 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8830 loss: 4.8830 2022/08/13 08:41:12 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 2.0786e-02 eta: 3 days, 3:06:12 time: 0.2767 data_time: 0.0166 memory: 6334 grad_norm: 2.2296 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7360 loss: 4.7360 2022/08/13 08:41:41 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 2.0857e-02 eta: 3 days, 3:05:45 time: 0.3007 data_time: 0.0183 memory: 6334 grad_norm: 2.1547 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6653 loss: 4.6653 2022/08/13 08:42:10 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 2.0927e-02 eta: 3 days, 3:05:17 time: 0.2774 data_time: 0.0162 memory: 6334 grad_norm: 2.1656 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7054 loss: 4.7054 2022/08/13 08:42:37 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 2.0998e-02 eta: 3 days, 3:04:07 time: 0.2796 data_time: 0.0168 memory: 6334 grad_norm: 2.1525 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7646 loss: 4.7646 2022/08/13 08:43:06 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 2.1068e-02 eta: 3 days, 3:03:26 time: 0.2755 data_time: 0.0161 memory: 6334 grad_norm: 2.1567 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8261 loss: 4.8261 2022/08/13 08:43:34 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 2.1139e-02 eta: 3 days, 3:02:18 time: 0.2781 data_time: 0.0155 memory: 6334 grad_norm: 2.1176 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.8698 loss: 4.8698 2022/08/13 08:44:02 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 2.1209e-02 eta: 3 days, 3:01:33 time: 0.2860 data_time: 0.0182 memory: 6334 grad_norm: 2.1468 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.8206 loss: 4.8206 2022/08/13 08:44:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:44:30 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 2.1279e-02 eta: 3 days, 3:00:18 time: 0.2765 data_time: 0.0160 memory: 6334 grad_norm: 2.1621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.6570 loss: 4.6570 2022/08/13 08:44:58 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 2.1350e-02 eta: 3 days, 2:59:27 time: 0.2751 data_time: 0.0164 memory: 6334 grad_norm: 2.1645 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.6394 loss: 4.6394 2022/08/13 08:45:26 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 2.1420e-02 eta: 3 days, 2:58:24 time: 0.2782 data_time: 0.0176 memory: 6334 grad_norm: 2.1355 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6653 loss: 4.6653 2022/08/13 08:45:54 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 2.1491e-02 eta: 3 days, 2:57:20 time: 0.2785 data_time: 0.0159 memory: 6334 grad_norm: 2.1790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4058 loss: 4.4058 2022/08/13 08:46:22 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 2.1561e-02 eta: 3 days, 2:56:35 time: 0.2803 data_time: 0.0192 memory: 6334 grad_norm: 2.1273 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9484 loss: 4.9484 2022/08/13 08:46:50 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 2.1631e-02 eta: 3 days, 2:55:31 time: 0.2760 data_time: 0.0163 memory: 6334 grad_norm: 2.1708 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7614 loss: 4.7614 2022/08/13 08:47:18 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 2.1702e-02 eta: 3 days, 2:54:39 time: 0.2777 data_time: 0.0157 memory: 6334 grad_norm: 2.1926 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7315 loss: 4.7315 2022/08/13 08:47:46 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 2.1772e-02 eta: 3 days, 2:53:40 time: 0.2779 data_time: 0.0147 memory: 6334 grad_norm: 2.1611 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6778 loss: 4.6778 2022/08/13 08:48:14 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 2.1843e-02 eta: 3 days, 2:52:37 time: 0.2768 data_time: 0.0162 memory: 6334 grad_norm: 2.1454 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9025 loss: 4.9025 2022/08/13 08:48:42 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 2.1913e-02 eta: 3 days, 2:51:42 time: 0.2827 data_time: 0.0174 memory: 6334 grad_norm: 2.2334 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4331 loss: 4.4331 2022/08/13 08:49:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:49:11 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 2.1984e-02 eta: 3 days, 2:51:06 time: 0.2762 data_time: 0.0152 memory: 6334 grad_norm: 2.1927 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5618 loss: 4.5618 2022/08/13 08:49:38 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 2.2054e-02 eta: 3 days, 2:50:03 time: 0.2776 data_time: 0.0165 memory: 6334 grad_norm: 2.1620 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4336 loss: 4.4336 2022/08/13 08:50:07 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 2.2124e-02 eta: 3 days, 2:49:39 time: 0.2799 data_time: 0.0165 memory: 6334 grad_norm: 2.1221 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7863 loss: 4.7863 2022/08/13 08:50:35 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 2.2195e-02 eta: 3 days, 2:48:37 time: 0.2750 data_time: 0.0160 memory: 6334 grad_norm: 2.1713 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4408 loss: 4.4408 2022/08/13 08:51:04 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 2.2265e-02 eta: 3 days, 2:48:22 time: 0.2872 data_time: 0.0173 memory: 6334 grad_norm: 2.2056 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7324 loss: 4.7324 2022/08/13 08:51:32 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 2.2336e-02 eta: 3 days, 2:47:16 time: 0.2773 data_time: 0.0157 memory: 6334 grad_norm: 2.1886 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.8350 loss: 4.8350 2022/08/13 08:52:00 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 2.2406e-02 eta: 3 days, 2:46:39 time: 0.2901 data_time: 0.0179 memory: 6334 grad_norm: 2.1669 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7803 loss: 4.7803 2022/08/13 08:52:28 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 2.2476e-02 eta: 3 days, 2:45:42 time: 0.2772 data_time: 0.0161 memory: 6334 grad_norm: 2.1964 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5585 loss: 4.5585 2022/08/13 08:52:56 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 2.2547e-02 eta: 3 days, 2:44:48 time: 0.2774 data_time: 0.0153 memory: 6334 grad_norm: 2.2553 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6862 loss: 4.6862 2022/08/13 08:53:24 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 2.2617e-02 eta: 3 days, 2:44:01 time: 0.2853 data_time: 0.0182 memory: 6334 grad_norm: 2.2394 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2719 loss: 4.2719 2022/08/13 08:53:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:53:52 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 2.2688e-02 eta: 3 days, 2:43:03 time: 0.2785 data_time: 0.0166 memory: 6334 grad_norm: 2.1441 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7339 loss: 4.7339 2022/08/13 08:54:20 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 2.2758e-02 eta: 3 days, 2:42:23 time: 0.2982 data_time: 0.0168 memory: 6334 grad_norm: 2.1147 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7259 loss: 4.7259 2022/08/13 08:54:48 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 2.2828e-02 eta: 3 days, 2:41:21 time: 0.2758 data_time: 0.0154 memory: 6334 grad_norm: 2.1847 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5596 loss: 4.5596 2022/08/13 08:55:16 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 2.2899e-02 eta: 3 days, 2:40:21 time: 0.2754 data_time: 0.0165 memory: 6334 grad_norm: 2.1470 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7643 loss: 4.7643 2022/08/13 08:55:44 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 2.2969e-02 eta: 3 days, 2:39:28 time: 0.2840 data_time: 0.0167 memory: 6334 grad_norm: 2.1815 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3630 loss: 4.3630 2022/08/13 08:56:12 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 2.3040e-02 eta: 3 days, 2:38:28 time: 0.2800 data_time: 0.0168 memory: 6334 grad_norm: 2.1726 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5138 loss: 4.5138 2022/08/13 08:56:40 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 2.3110e-02 eta: 3 days, 2:37:36 time: 0.2777 data_time: 0.0169 memory: 6334 grad_norm: 2.1718 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6432 loss: 4.6432 2022/08/13 08:57:08 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 2.3181e-02 eta: 3 days, 2:36:43 time: 0.2753 data_time: 0.0167 memory: 6334 grad_norm: 2.2140 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6338 loss: 4.6338 2022/08/13 08:57:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 08:57:24 - mmengine - INFO - Epoch(train) [5][3757/3757] lr: 2.3221e-02 eta: 3 days, 2:36:17 time: 0.2692 data_time: 0.0147 memory: 6334 grad_norm: 2.1766 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 4.4921 loss: 4.4921 2022/08/13 08:59:07 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:00:46 time: 0.2219 data_time: 0.1281 memory: 1152 2022/08/13 08:59:28 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:20 time: 0.1866 data_time: 0.0913 memory: 1152 2022/08/13 08:59:50 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:02 time: 0.2317 data_time: 0.1336 memory: 1152 2022/08/13 08:59:54 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.1185 acc/top5: 0.3037 acc/mean1: 0.1184 2022/08/13 08:59:57 - mmengine - INFO - The best checkpoint with 0.1185 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/13 09:00:26 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 2.3283e-02 eta: 3 days, 2:32:05 time: 0.2755 data_time: 0.0143 memory: 6334 grad_norm: 2.1934 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4873 loss: 4.4873 2022/08/13 09:00:54 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 2.3354e-02 eta: 3 days, 2:31:26 time: 0.2993 data_time: 0.0151 memory: 6334 grad_norm: 2.1339 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5625 loss: 4.5625 2022/08/13 09:00:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:01:22 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 2.3424e-02 eta: 3 days, 2:30:34 time: 0.2765 data_time: 0.0175 memory: 6334 grad_norm: 2.1625 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5951 loss: 4.5951 2022/08/13 09:01:50 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 2.3494e-02 eta: 3 days, 2:29:43 time: 0.2768 data_time: 0.0165 memory: 6334 grad_norm: 2.1632 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6972 loss: 4.6972 2022/08/13 09:02:18 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 2.3565e-02 eta: 3 days, 2:29:00 time: 0.2757 data_time: 0.0160 memory: 6334 grad_norm: 2.2343 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.5339 loss: 4.5339 2022/08/13 09:02:46 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 2.3635e-02 eta: 3 days, 2:28:07 time: 0.2753 data_time: 0.0164 memory: 6334 grad_norm: 2.1734 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4334 loss: 4.4334 2022/08/13 09:03:14 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 2.3706e-02 eta: 3 days, 2:27:28 time: 0.2839 data_time: 0.0180 memory: 6334 grad_norm: 2.1455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4210 loss: 4.4210 2022/08/13 09:03:43 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 2.3776e-02 eta: 3 days, 2:26:49 time: 0.2792 data_time: 0.0158 memory: 6334 grad_norm: 2.1726 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5665 loss: 4.5665 2022/08/13 09:04:10 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 2.3846e-02 eta: 3 days, 2:25:52 time: 0.2768 data_time: 0.0155 memory: 6334 grad_norm: 2.1715 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4378 loss: 4.4378 2022/08/13 09:04:39 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 2.3917e-02 eta: 3 days, 2:25:21 time: 0.2777 data_time: 0.0169 memory: 6334 grad_norm: 2.3001 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6252 loss: 4.6252 2022/08/13 09:05:07 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 2.3987e-02 eta: 3 days, 2:24:27 time: 0.2761 data_time: 0.0170 memory: 6334 grad_norm: 2.2295 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5569 loss: 4.5569 2022/08/13 09:05:35 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 2.4058e-02 eta: 3 days, 2:23:42 time: 0.2840 data_time: 0.0161 memory: 6334 grad_norm: 2.1844 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4319 loss: 4.4319 2022/08/13 09:05:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:06:03 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 2.4128e-02 eta: 3 days, 2:22:50 time: 0.2774 data_time: 0.0155 memory: 6334 grad_norm: 2.1853 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.5498 loss: 4.5498 2022/08/13 09:06:32 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 2.4198e-02 eta: 3 days, 2:22:39 time: 0.2890 data_time: 0.0159 memory: 6334 grad_norm: 2.2643 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5114 loss: 4.5114 2022/08/13 09:07:00 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 2.4269e-02 eta: 3 days, 2:22:09 time: 0.2774 data_time: 0.0161 memory: 6334 grad_norm: 2.2338 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6219 loss: 4.6219 2022/08/13 09:07:28 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 2.4339e-02 eta: 3 days, 2:21:15 time: 0.2757 data_time: 0.0162 memory: 6334 grad_norm: 2.1559 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2381 loss: 4.2381 2022/08/13 09:07:56 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 2.4409e-02 eta: 3 days, 2:20:42 time: 0.2975 data_time: 0.0225 memory: 6334 grad_norm: 2.1781 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6547 loss: 4.6547 2022/08/13 09:08:24 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 2.4480e-02 eta: 3 days, 2:19:49 time: 0.2783 data_time: 0.0171 memory: 6334 grad_norm: 2.2731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.3784 loss: 4.3784 2022/08/13 09:08:52 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 2.4550e-02 eta: 3 days, 2:19:16 time: 0.2929 data_time: 0.0159 memory: 6334 grad_norm: 2.1738 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4826 loss: 4.4826 2022/08/13 09:09:21 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 2.4621e-02 eta: 3 days, 2:18:35 time: 0.2755 data_time: 0.0174 memory: 6334 grad_norm: 2.2128 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2816 loss: 4.2816 2022/08/13 09:09:48 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 2.4691e-02 eta: 3 days, 2:17:37 time: 0.2768 data_time: 0.0159 memory: 6334 grad_norm: 2.2513 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5256 loss: 4.5256 2022/08/13 09:10:17 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 2.4761e-02 eta: 3 days, 2:16:54 time: 0.2822 data_time: 0.0173 memory: 6334 grad_norm: 2.1570 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4773 loss: 4.4773 2022/08/13 09:10:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:10:45 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 2.4832e-02 eta: 3 days, 2:16:28 time: 0.2803 data_time: 0.0169 memory: 6334 grad_norm: 2.3903 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4513 loss: 4.4513 2022/08/13 09:11:13 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 2.4902e-02 eta: 3 days, 2:15:43 time: 0.2824 data_time: 0.0157 memory: 6334 grad_norm: 2.3377 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2755 loss: 4.2755 2022/08/13 09:11:41 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 2.4973e-02 eta: 3 days, 2:15:00 time: 0.2758 data_time: 0.0164 memory: 6334 grad_norm: 2.1734 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4141 loss: 4.4141 2022/08/13 09:12:09 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 2.5043e-02 eta: 3 days, 2:14:20 time: 0.2769 data_time: 0.0160 memory: 6334 grad_norm: 2.2688 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5153 loss: 4.5153 2022/08/13 09:12:37 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 2.5113e-02 eta: 3 days, 2:13:22 time: 0.2754 data_time: 0.0160 memory: 6334 grad_norm: 2.3010 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2847 loss: 4.2847 2022/08/13 09:13:05 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 2.5184e-02 eta: 3 days, 2:12:52 time: 0.2797 data_time: 0.0170 memory: 6334 grad_norm: 2.2634 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4951 loss: 4.4951 2022/08/13 09:13:34 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 2.5254e-02 eta: 3 days, 2:12:09 time: 0.2811 data_time: 0.0156 memory: 6334 grad_norm: 2.2680 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7268 loss: 4.7268 2022/08/13 09:14:02 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 2.5325e-02 eta: 3 days, 2:11:21 time: 0.2772 data_time: 0.0171 memory: 6334 grad_norm: 2.2737 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3415 loss: 4.3415 2022/08/13 09:14:30 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 2.5395e-02 eta: 3 days, 2:10:37 time: 0.2781 data_time: 0.0151 memory: 6334 grad_norm: 2.2333 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3990 loss: 4.3990 2022/08/13 09:14:58 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 2.5465e-02 eta: 3 days, 2:10:11 time: 0.2778 data_time: 0.0160 memory: 6334 grad_norm: 2.2800 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3926 loss: 4.3926 2022/08/13 09:15:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:15:26 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 2.5536e-02 eta: 3 days, 2:09:34 time: 0.2926 data_time: 0.0164 memory: 6334 grad_norm: 2.2084 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2652 loss: 4.2652 2022/08/13 09:15:55 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 2.5606e-02 eta: 3 days, 2:08:57 time: 0.2774 data_time: 0.0156 memory: 6334 grad_norm: 2.2689 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2028 loss: 4.2028 2022/08/13 09:16:23 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 2.5677e-02 eta: 3 days, 2:08:14 time: 0.2805 data_time: 0.0178 memory: 6334 grad_norm: 2.2846 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.3187 loss: 4.3187 2022/08/13 09:16:51 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 2.5747e-02 eta: 3 days, 2:07:33 time: 0.2774 data_time: 0.0168 memory: 6334 grad_norm: 2.2130 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3527 loss: 4.3527 2022/08/13 09:17:19 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 2.5817e-02 eta: 3 days, 2:06:45 time: 0.2771 data_time: 0.0159 memory: 6334 grad_norm: 2.3003 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4460 loss: 4.4460 2022/08/13 09:17:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:17:34 - mmengine - INFO - Epoch(train) [6][3757/3757] lr: 2.5857e-02 eta: 3 days, 2:06:32 time: 0.2587 data_time: 0.0137 memory: 6334 grad_norm: 2.2820 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 4.2148 loss: 4.2148 2022/08/13 09:18:05 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 2.5917e-02 eta: 3 days, 2:03:48 time: 0.2850 data_time: 0.0182 memory: 6334 grad_norm: 2.2703 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1736 loss: 4.1736 2022/08/13 09:18:33 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 2.5987e-02 eta: 3 days, 2:03:05 time: 0.2839 data_time: 0.0152 memory: 6334 grad_norm: 2.2614 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1031 loss: 4.1031 2022/08/13 09:19:00 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 2.6058e-02 eta: 3 days, 2:02:17 time: 0.2775 data_time: 0.0156 memory: 6334 grad_norm: 2.2960 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4945 loss: 4.4945 2022/08/13 09:19:29 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 2.6128e-02 eta: 3 days, 2:01:41 time: 0.2740 data_time: 0.0150 memory: 6334 grad_norm: 2.2850 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3996 loss: 4.3996 2022/08/13 09:19:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:19:57 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 2.6199e-02 eta: 3 days, 2:00:58 time: 0.2803 data_time: 0.0160 memory: 6334 grad_norm: 2.2121 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2930 loss: 4.2930 2022/08/13 09:20:25 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 2.6269e-02 eta: 3 days, 2:00:22 time: 0.2786 data_time: 0.0168 memory: 6334 grad_norm: 2.2648 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4240 loss: 4.4240 2022/08/13 09:20:54 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 2.6339e-02 eta: 3 days, 2:00:03 time: 0.3100 data_time: 0.0197 memory: 6334 grad_norm: 2.2264 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2313 loss: 4.2313 2022/08/13 09:21:22 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 2.6410e-02 eta: 3 days, 1:59:22 time: 0.2770 data_time: 0.0156 memory: 6334 grad_norm: 2.3490 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.2522 loss: 4.2522 2022/08/13 09:21:50 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 2.6480e-02 eta: 3 days, 1:59:00 time: 0.2776 data_time: 0.0160 memory: 6334 grad_norm: 2.3012 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1672 loss: 4.1672 2022/08/13 09:22:19 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 2.6550e-02 eta: 3 days, 1:58:37 time: 0.2773 data_time: 0.0161 memory: 6334 grad_norm: 2.2438 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7280 loss: 4.7280 2022/08/13 09:22:47 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 2.6621e-02 eta: 3 days, 1:57:51 time: 0.2767 data_time: 0.0158 memory: 6334 grad_norm: 2.3278 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3146 loss: 4.3146 2022/08/13 09:23:15 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 2.6691e-02 eta: 3 days, 1:57:26 time: 0.2886 data_time: 0.0177 memory: 6334 grad_norm: 2.3094 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1310 loss: 4.1310 2022/08/13 09:23:43 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 2.6761e-02 eta: 3 days, 1:56:43 time: 0.2769 data_time: 0.0157 memory: 6334 grad_norm: 2.2896 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1459 loss: 4.1459 2022/08/13 09:24:12 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 2.6832e-02 eta: 3 days, 1:56:20 time: 0.2772 data_time: 0.0170 memory: 6334 grad_norm: 2.3103 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4067 loss: 4.4067 2022/08/13 09:24:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:24:40 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 2.6902e-02 eta: 3 days, 1:56:04 time: 0.2762 data_time: 0.0156 memory: 6334 grad_norm: 2.2863 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3666 loss: 4.3666 2022/08/13 09:25:09 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 2.6972e-02 eta: 3 days, 1:55:24 time: 0.2762 data_time: 0.0157 memory: 6334 grad_norm: 2.2879 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4821 loss: 4.4821 2022/08/13 09:25:37 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 2.7043e-02 eta: 3 days, 1:54:57 time: 0.3009 data_time: 0.0203 memory: 6334 grad_norm: 2.3162 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2230 loss: 4.2230 2022/08/13 09:26:05 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 2.7113e-02 eta: 3 days, 1:54:09 time: 0.2756 data_time: 0.0158 memory: 6334 grad_norm: 2.2074 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3006 loss: 4.3006 2022/08/13 09:26:33 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 2.7184e-02 eta: 3 days, 1:53:49 time: 0.2959 data_time: 0.0178 memory: 6334 grad_norm: 2.2854 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3419 loss: 4.3419 2022/08/13 09:27:02 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 2.7254e-02 eta: 3 days, 1:53:13 time: 0.2761 data_time: 0.0162 memory: 6334 grad_norm: 2.3274 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8703 loss: 3.8703 2022/08/13 09:27:30 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 2.7324e-02 eta: 3 days, 1:52:26 time: 0.2792 data_time: 0.0157 memory: 6334 grad_norm: 2.2140 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4813 loss: 4.4813 2022/08/13 09:27:58 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 2.7395e-02 eta: 3 days, 1:52:00 time: 0.2999 data_time: 0.0171 memory: 6334 grad_norm: 2.2959 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2222 loss: 4.2222 2022/08/13 09:28:26 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 2.7465e-02 eta: 3 days, 1:51:23 time: 0.2780 data_time: 0.0151 memory: 6334 grad_norm: 2.2660 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2415 loss: 4.2415 2022/08/13 09:28:54 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 2.7535e-02 eta: 3 days, 1:50:48 time: 0.2867 data_time: 0.0183 memory: 6334 grad_norm: 2.3235 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1792 loss: 4.1792 2022/08/13 09:29:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:29:22 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 2.7606e-02 eta: 3 days, 1:50:04 time: 0.2767 data_time: 0.0169 memory: 6334 grad_norm: 2.2420 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.1562 loss: 4.1562 2022/08/13 09:29:51 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 2.7676e-02 eta: 3 days, 1:49:27 time: 0.2759 data_time: 0.0158 memory: 6334 grad_norm: 2.2843 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 4.2145 loss: 4.2145 2022/08/13 09:30:19 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 2.7746e-02 eta: 3 days, 1:48:56 time: 0.2825 data_time: 0.0183 memory: 6334 grad_norm: 2.3076 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3822 loss: 4.3822 2022/08/13 09:30:47 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 2.7817e-02 eta: 3 days, 1:48:12 time: 0.2768 data_time: 0.0177 memory: 6334 grad_norm: 2.3637 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1267 loss: 4.1267 2022/08/13 09:31:15 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 2.7887e-02 eta: 3 days, 1:47:28 time: 0.2798 data_time: 0.0158 memory: 6334 grad_norm: 2.3087 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4900 loss: 4.4900 2022/08/13 09:31:43 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 2.7958e-02 eta: 3 days, 1:46:45 time: 0.2775 data_time: 0.0160 memory: 6334 grad_norm: 2.3731 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0233 loss: 4.0233 2022/08/13 09:32:11 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 2.8028e-02 eta: 3 days, 1:46:04 time: 0.2775 data_time: 0.0170 memory: 6334 grad_norm: 2.3020 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0491 loss: 4.0491 2022/08/13 09:32:39 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 2.8098e-02 eta: 3 days, 1:45:21 time: 0.2765 data_time: 0.0159 memory: 6334 grad_norm: 2.3055 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1300 loss: 4.1300 2022/08/13 09:33:07 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 2.8169e-02 eta: 3 days, 1:44:48 time: 0.2951 data_time: 0.0175 memory: 6334 grad_norm: 2.2821 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2141 loss: 4.2141 2022/08/13 09:33:35 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 2.8239e-02 eta: 3 days, 1:44:06 time: 0.2801 data_time: 0.0172 memory: 6334 grad_norm: 2.3479 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1004 loss: 4.1004 2022/08/13 09:33:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:34:03 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 2.8309e-02 eta: 3 days, 1:43:20 time: 0.2773 data_time: 0.0168 memory: 6334 grad_norm: 2.3194 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0919 loss: 4.0919 2022/08/13 09:34:31 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 2.8380e-02 eta: 3 days, 1:42:44 time: 0.2776 data_time: 0.0161 memory: 6334 grad_norm: 2.3375 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0913 loss: 4.0913 2022/08/13 09:34:59 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 2.8450e-02 eta: 3 days, 1:42:07 time: 0.2777 data_time: 0.0170 memory: 6334 grad_norm: 2.2887 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2587 loss: 4.2587 2022/08/13 09:35:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:35:15 - mmengine - INFO - Epoch(train) [7][3757/3757] lr: 2.8490e-02 eta: 3 days, 1:41:58 time: 0.2586 data_time: 0.0141 memory: 6334 grad_norm: 2.3503 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 4.4303 loss: 4.4303 2022/08/13 09:35:45 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 2.8547e-02 eta: 3 days, 1:39:33 time: 0.2822 data_time: 0.0180 memory: 6334 grad_norm: 2.2873 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2383 loss: 4.2383 2022/08/13 09:36:13 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 2.8617e-02 eta: 3 days, 1:38:52 time: 0.2782 data_time: 0.0156 memory: 6334 grad_norm: 2.3166 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1822 loss: 4.1822 2022/08/13 09:36:41 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 2.8687e-02 eta: 3 days, 1:38:09 time: 0.2788 data_time: 0.0167 memory: 6334 grad_norm: 2.2989 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3243 loss: 4.3243 2022/08/13 09:37:09 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 2.8758e-02 eta: 3 days, 1:37:24 time: 0.2781 data_time: 0.0168 memory: 6334 grad_norm: 2.2836 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2598 loss: 4.2598 2022/08/13 09:37:37 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 2.8828e-02 eta: 3 days, 1:36:42 time: 0.2771 data_time: 0.0166 memory: 6334 grad_norm: 2.3231 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1510 loss: 4.1510 2022/08/13 09:38:05 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 2.8898e-02 eta: 3 days, 1:36:04 time: 0.2840 data_time: 0.0177 memory: 6334 grad_norm: 2.3493 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9722 loss: 3.9722 2022/08/13 09:38:33 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 2.8969e-02 eta: 3 days, 1:35:16 time: 0.2761 data_time: 0.0162 memory: 6334 grad_norm: 2.3510 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4847 loss: 4.4847 2022/08/13 09:38:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:39:01 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 2.9039e-02 eta: 3 days, 1:34:43 time: 0.2761 data_time: 0.0160 memory: 6334 grad_norm: 2.3827 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1500 loss: 4.1500 2022/08/13 09:39:29 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 2.9109e-02 eta: 3 days, 1:34:06 time: 0.2819 data_time: 0.0162 memory: 6334 grad_norm: 2.3565 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5189 loss: 4.5189 2022/08/13 09:39:57 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 2.9180e-02 eta: 3 days, 1:33:23 time: 0.2816 data_time: 0.0163 memory: 6334 grad_norm: 2.3891 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0532 loss: 4.0532 2022/08/13 09:40:25 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 2.9250e-02 eta: 3 days, 1:32:50 time: 0.2937 data_time: 0.0185 memory: 6334 grad_norm: 2.3151 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2230 loss: 4.2230 2022/08/13 09:40:53 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 2.9320e-02 eta: 3 days, 1:32:13 time: 0.2764 data_time: 0.0164 memory: 6334 grad_norm: 2.3604 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2467 loss: 4.2467 2022/08/13 09:41:21 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 2.9391e-02 eta: 3 days, 1:31:40 time: 0.2780 data_time: 0.0161 memory: 6334 grad_norm: 2.3716 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1456 loss: 4.1456 2022/08/13 09:41:50 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 2.9461e-02 eta: 3 days, 1:31:03 time: 0.2783 data_time: 0.0161 memory: 6334 grad_norm: 2.3267 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0145 loss: 4.0145 2022/08/13 09:42:18 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 2.9531e-02 eta: 3 days, 1:30:38 time: 0.2998 data_time: 0.0156 memory: 6334 grad_norm: 2.3661 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1335 loss: 4.1335 2022/08/13 09:42:46 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 2.9601e-02 eta: 3 days, 1:29:55 time: 0.2778 data_time: 0.0167 memory: 6334 grad_norm: 2.3448 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2712 loss: 4.2712 2022/08/13 09:43:14 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 2.9672e-02 eta: 3 days, 1:29:10 time: 0.2752 data_time: 0.0158 memory: 6334 grad_norm: 2.3597 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3032 loss: 4.3032 2022/08/13 09:43:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:43:42 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 2.9742e-02 eta: 3 days, 1:28:28 time: 0.2763 data_time: 0.0169 memory: 6334 grad_norm: 2.3926 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0238 loss: 4.0238 2022/08/13 09:44:10 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 2.9812e-02 eta: 3 days, 1:27:53 time: 0.2823 data_time: 0.0172 memory: 6334 grad_norm: 2.3388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1286 loss: 4.1286 2022/08/13 09:44:38 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 2.9883e-02 eta: 3 days, 1:27:26 time: 0.2768 data_time: 0.0164 memory: 6334 grad_norm: 2.3014 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0417 loss: 4.0417 2022/08/13 09:45:07 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 2.9953e-02 eta: 3 days, 1:26:59 time: 0.2893 data_time: 0.0182 memory: 6334 grad_norm: 2.3206 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2249 loss: 4.2249 2022/08/13 09:45:35 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 3.0023e-02 eta: 3 days, 1:26:18 time: 0.2792 data_time: 0.0158 memory: 6334 grad_norm: 2.3197 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1478 loss: 4.1478 2022/08/13 09:46:02 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 3.0094e-02 eta: 3 days, 1:25:36 time: 0.2766 data_time: 0.0165 memory: 6334 grad_norm: 2.3252 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9250 loss: 3.9250 2022/08/13 09:46:31 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 3.0164e-02 eta: 3 days, 1:25:01 time: 0.2776 data_time: 0.0171 memory: 6334 grad_norm: 2.3782 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1231 loss: 4.1231 2022/08/13 09:46:58 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 3.0234e-02 eta: 3 days, 1:24:20 time: 0.2829 data_time: 0.0168 memory: 6334 grad_norm: 2.3991 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9110 loss: 3.9110 2022/08/13 09:47:27 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 3.0305e-02 eta: 3 days, 1:23:43 time: 0.2781 data_time: 0.0172 memory: 6334 grad_norm: 2.3883 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1268 loss: 4.1268 2022/08/13 09:47:55 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 3.0375e-02 eta: 3 days, 1:23:04 time: 0.2756 data_time: 0.0160 memory: 6334 grad_norm: 2.3085 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2367 loss: 4.2367 2022/08/13 09:47:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:48:23 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 3.0445e-02 eta: 3 days, 1:22:35 time: 0.2762 data_time: 0.0160 memory: 6334 grad_norm: 2.3522 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1841 loss: 4.1841 2022/08/13 09:48:51 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 3.0516e-02 eta: 3 days, 1:21:58 time: 0.2776 data_time: 0.0178 memory: 6334 grad_norm: 2.3580 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2343 loss: 4.2343 2022/08/13 09:49:19 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 3.0586e-02 eta: 3 days, 1:21:24 time: 0.2796 data_time: 0.0174 memory: 6334 grad_norm: 2.3888 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1611 loss: 4.1611 2022/08/13 09:49:47 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 3.0656e-02 eta: 3 days, 1:20:44 time: 0.2776 data_time: 0.0168 memory: 6334 grad_norm: 2.3288 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1500 loss: 4.1500 2022/08/13 09:50:15 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 3.0727e-02 eta: 3 days, 1:20:11 time: 0.2888 data_time: 0.0189 memory: 6334 grad_norm: 2.3678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8332 loss: 3.8332 2022/08/13 09:50:43 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 3.0797e-02 eta: 3 days, 1:19:34 time: 0.2774 data_time: 0.0164 memory: 6334 grad_norm: 2.3933 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2481 loss: 4.2481 2022/08/13 09:51:12 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 3.0867e-02 eta: 3 days, 1:19:27 time: 0.2749 data_time: 0.0154 memory: 6334 grad_norm: 2.4155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9383 loss: 3.9383 2022/08/13 09:51:42 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 3.0938e-02 eta: 3 days, 1:19:32 time: 0.3447 data_time: 0.0188 memory: 6334 grad_norm: 2.3606 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1256 loss: 4.1256 2022/08/13 09:52:10 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 3.1008e-02 eta: 3 days, 1:19:03 time: 0.2767 data_time: 0.0167 memory: 6334 grad_norm: 2.3322 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1039 loss: 4.1039 2022/08/13 09:52:39 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 3.1078e-02 eta: 3 days, 1:18:55 time: 0.2856 data_time: 0.0178 memory: 6334 grad_norm: 2.3531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8638 loss: 3.8638 2022/08/13 09:52:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:52:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:52:54 - mmengine - INFO - Epoch(train) [8][3757/3757] lr: 3.1118e-02 eta: 3 days, 1:18:36 time: 0.2571 data_time: 0.0143 memory: 6334 grad_norm: 2.3379 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 4.0098 loss: 4.0098 2022/08/13 09:52:55 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/13 09:53:27 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 3.1171e-02 eta: 3 days, 1:15:52 time: 0.2782 data_time: 0.0162 memory: 6334 grad_norm: 2.4178 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9623 loss: 3.9623 2022/08/13 09:53:54 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 3.1241e-02 eta: 3 days, 1:15:13 time: 0.2764 data_time: 0.0165 memory: 6334 grad_norm: 2.4132 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1797 loss: 4.1797 2022/08/13 09:54:22 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 3.1312e-02 eta: 3 days, 1:14:30 time: 0.2756 data_time: 0.0169 memory: 6334 grad_norm: 2.4120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.9427 loss: 3.9427 2022/08/13 09:54:50 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 3.1382e-02 eta: 3 days, 1:13:55 time: 0.2788 data_time: 0.0166 memory: 6334 grad_norm: 2.3652 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2533 loss: 4.2533 2022/08/13 09:55:18 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 3.1452e-02 eta: 3 days, 1:13:17 time: 0.2832 data_time: 0.0172 memory: 6334 grad_norm: 2.3810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.2608 loss: 4.2608 2022/08/13 09:55:47 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 3.1523e-02 eta: 3 days, 1:12:43 time: 0.2774 data_time: 0.0173 memory: 6334 grad_norm: 2.3719 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0562 loss: 4.0562 2022/08/13 09:56:15 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 3.1593e-02 eta: 3 days, 1:12:20 time: 0.2778 data_time: 0.0161 memory: 6334 grad_norm: 2.4296 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0153 loss: 4.0153 2022/08/13 09:56:44 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 3.1663e-02 eta: 3 days, 1:11:59 time: 0.2750 data_time: 0.0169 memory: 6334 grad_norm: 2.4277 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0444 loss: 4.0444 2022/08/13 09:57:12 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 3.1733e-02 eta: 3 days, 1:11:21 time: 0.2769 data_time: 0.0175 memory: 6334 grad_norm: 2.4040 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9040 loss: 3.9040 2022/08/13 09:57:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 09:57:40 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 3.1804e-02 eta: 3 days, 1:10:46 time: 0.2854 data_time: 0.0174 memory: 6334 grad_norm: 2.4429 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8581 loss: 3.8581 2022/08/13 09:58:08 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 3.1874e-02 eta: 3 days, 1:10:18 time: 0.2792 data_time: 0.0190 memory: 6334 grad_norm: 2.3649 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0427 loss: 4.0427 2022/08/13 09:58:37 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 3.1944e-02 eta: 3 days, 1:09:56 time: 0.3056 data_time: 0.0161 memory: 6334 grad_norm: 2.4135 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0651 loss: 4.0651 2022/08/13 09:59:05 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 3.2015e-02 eta: 3 days, 1:09:18 time: 0.2770 data_time: 0.0156 memory: 6334 grad_norm: 2.4237 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7251 loss: 3.7251 2022/08/13 09:59:33 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 3.2085e-02 eta: 3 days, 1:08:48 time: 0.2757 data_time: 0.0162 memory: 6334 grad_norm: 2.3995 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9876 loss: 3.9876 2022/08/13 10:00:01 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 3.2155e-02 eta: 3 days, 1:08:16 time: 0.2861 data_time: 0.0180 memory: 6334 grad_norm: 2.3661 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0090 loss: 4.0090 2022/08/13 10:00:29 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 3.2225e-02 eta: 3 days, 1:07:39 time: 0.2766 data_time: 0.0159 memory: 6334 grad_norm: 2.3228 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0715 loss: 4.0715 2022/08/13 10:00:57 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 3.2296e-02 eta: 3 days, 1:07:01 time: 0.2843 data_time: 0.0181 memory: 6334 grad_norm: 2.4621 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.9221 loss: 3.9221 2022/08/13 10:01:25 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 3.2366e-02 eta: 3 days, 1:06:24 time: 0.2770 data_time: 0.0170 memory: 6334 grad_norm: 2.3766 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.0274 loss: 4.0274 2022/08/13 10:01:53 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 3.2436e-02 eta: 3 days, 1:05:46 time: 0.2792 data_time: 0.0164 memory: 6334 grad_norm: 2.3647 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.2414 loss: 4.2414 2022/08/13 10:02:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:02:21 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 3.2507e-02 eta: 3 days, 1:05:20 time: 0.2930 data_time: 0.0202 memory: 6334 grad_norm: 2.4511 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9529 loss: 3.9529 2022/08/13 10:02:49 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 3.2577e-02 eta: 3 days, 1:04:42 time: 0.2783 data_time: 0.0157 memory: 6334 grad_norm: 2.4155 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9739 loss: 3.9739 2022/08/13 10:03:18 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 3.2647e-02 eta: 3 days, 1:04:10 time: 0.2767 data_time: 0.0159 memory: 6334 grad_norm: 2.3949 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2289 loss: 4.2289 2022/08/13 10:03:46 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 3.2717e-02 eta: 3 days, 1:03:38 time: 0.2758 data_time: 0.0169 memory: 6334 grad_norm: 2.4106 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8493 loss: 3.8493 2022/08/13 10:04:14 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 3.2788e-02 eta: 3 days, 1:03:05 time: 0.2741 data_time: 0.0159 memory: 6334 grad_norm: 2.4147 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3825 loss: 4.3825 2022/08/13 10:04:42 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 3.2858e-02 eta: 3 days, 1:02:32 time: 0.2777 data_time: 0.0160 memory: 6334 grad_norm: 2.4315 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1082 loss: 4.1082 2022/08/13 10:05:11 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 3.2928e-02 eta: 3 days, 1:02:08 time: 0.2882 data_time: 0.0163 memory: 6334 grad_norm: 2.4155 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1461 loss: 4.1461 2022/08/13 10:05:39 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 3.2999e-02 eta: 3 days, 1:01:34 time: 0.2845 data_time: 0.0157 memory: 6334 grad_norm: 2.4191 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1294 loss: 4.1294 2022/08/13 10:06:07 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 3.3069e-02 eta: 3 days, 1:01:18 time: 0.2770 data_time: 0.0165 memory: 6334 grad_norm: 2.3659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8907 loss: 3.8907 2022/08/13 10:06:35 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 3.3139e-02 eta: 3 days, 1:00:41 time: 0.2760 data_time: 0.0158 memory: 6334 grad_norm: 2.4039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8580 loss: 3.8580 2022/08/13 10:06:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:07:05 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 3.3210e-02 eta: 3 days, 1:00:42 time: 0.2760 data_time: 0.0170 memory: 6334 grad_norm: 2.3616 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8349 loss: 3.8349 2022/08/13 10:07:33 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 3.3280e-02 eta: 3 days, 1:00:00 time: 0.2764 data_time: 0.0157 memory: 6334 grad_norm: 2.3788 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9971 loss: 3.9971 2022/08/13 10:08:01 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 3.3350e-02 eta: 3 days, 0:59:32 time: 0.2873 data_time: 0.0182 memory: 6334 grad_norm: 2.4244 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9384 loss: 3.9384 2022/08/13 10:08:29 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 3.3420e-02 eta: 3 days, 0:58:53 time: 0.2769 data_time: 0.0154 memory: 6334 grad_norm: 2.4285 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7307 loss: 3.7307 2022/08/13 10:08:57 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 3.3491e-02 eta: 3 days, 0:58:15 time: 0.2766 data_time: 0.0156 memory: 6334 grad_norm: 2.3354 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0452 loss: 4.0452 2022/08/13 10:09:25 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 3.3561e-02 eta: 3 days, 0:57:41 time: 0.2767 data_time: 0.0166 memory: 6334 grad_norm: 2.3852 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9409 loss: 3.9409 2022/08/13 10:09:53 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 3.3631e-02 eta: 3 days, 0:57:08 time: 0.2766 data_time: 0.0160 memory: 6334 grad_norm: 2.3686 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9494 loss: 3.9494 2022/08/13 10:10:22 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 3.3702e-02 eta: 3 days, 0:56:49 time: 0.3048 data_time: 0.0151 memory: 6334 grad_norm: 2.3730 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8978 loss: 3.8978 2022/08/13 10:10:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:10:37 - mmengine - INFO - Epoch(train) [9][3757/3757] lr: 3.3742e-02 eta: 3 days, 0:56:31 time: 0.2612 data_time: 0.0135 memory: 6334 grad_norm: 2.4452 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 3.9874 loss: 3.9874 2022/08/13 10:11:08 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 3.3790e-02 eta: 3 days, 0:54:59 time: 0.2761 data_time: 0.0161 memory: 6334 grad_norm: 2.3835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0236 loss: 4.0236 2022/08/13 10:11:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:11:36 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 3.3860e-02 eta: 3 days, 0:54:22 time: 0.2754 data_time: 0.0167 memory: 6334 grad_norm: 2.4015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7394 loss: 3.7394 2022/08/13 10:12:05 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 3.3931e-02 eta: 3 days, 0:54:07 time: 0.2775 data_time: 0.0164 memory: 6334 grad_norm: 2.4455 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8629 loss: 3.8629 2022/08/13 10:12:33 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 3.4001e-02 eta: 3 days, 0:53:28 time: 0.2762 data_time: 0.0174 memory: 6334 grad_norm: 2.4065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0977 loss: 4.0977 2022/08/13 10:13:02 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 3.4071e-02 eta: 3 days, 0:53:13 time: 0.2988 data_time: 0.0167 memory: 6334 grad_norm: 2.4270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1024 loss: 4.1024 2022/08/13 10:13:30 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 3.4141e-02 eta: 3 days, 0:52:38 time: 0.2765 data_time: 0.0149 memory: 6334 grad_norm: 2.4123 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7910 loss: 3.7910 2022/08/13 10:13:58 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 3.4212e-02 eta: 3 days, 0:52:08 time: 0.2919 data_time: 0.0169 memory: 6334 grad_norm: 2.4484 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0471 loss: 4.0471 2022/08/13 10:14:26 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 3.4282e-02 eta: 3 days, 0:51:27 time: 0.2762 data_time: 0.0159 memory: 6334 grad_norm: 2.4422 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9410 loss: 3.9410 2022/08/13 10:14:54 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 3.4352e-02 eta: 3 days, 0:50:53 time: 0.2776 data_time: 0.0165 memory: 6334 grad_norm: 2.4395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0012 loss: 4.0012 2022/08/13 10:15:22 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 3.4422e-02 eta: 3 days, 0:50:20 time: 0.2822 data_time: 0.0190 memory: 6334 grad_norm: 2.4307 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.9776 loss: 3.9776 2022/08/13 10:15:50 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 3.4493e-02 eta: 3 days, 0:49:51 time: 0.2872 data_time: 0.0163 memory: 6334 grad_norm: 2.4410 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0115 loss: 4.0115 2022/08/13 10:16:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:16:19 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 3.4563e-02 eta: 3 days, 0:49:34 time: 0.2863 data_time: 0.0185 memory: 6334 grad_norm: 2.4680 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.7931 loss: 3.7931 2022/08/13 10:16:47 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 3.4633e-02 eta: 3 days, 0:48:57 time: 0.2781 data_time: 0.0158 memory: 6334 grad_norm: 2.4546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7299 loss: 3.7299 2022/08/13 10:17:15 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 3.4703e-02 eta: 3 days, 0:48:28 time: 0.2768 data_time: 0.0172 memory: 6334 grad_norm: 2.4188 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0257 loss: 4.0257 2022/08/13 10:17:44 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 3.4774e-02 eta: 3 days, 0:48:01 time: 0.2761 data_time: 0.0160 memory: 6334 grad_norm: 2.4672 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9314 loss: 3.9314 2022/08/13 10:18:12 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 3.4844e-02 eta: 3 days, 0:47:24 time: 0.2762 data_time: 0.0156 memory: 6334 grad_norm: 2.4895 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9751 loss: 3.9751 2022/08/13 10:18:40 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 3.4914e-02 eta: 3 days, 0:46:58 time: 0.2886 data_time: 0.0169 memory: 6334 grad_norm: 2.4360 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9322 loss: 3.9322 2022/08/13 10:19:08 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 3.4984e-02 eta: 3 days, 0:46:24 time: 0.2828 data_time: 0.0164 memory: 6334 grad_norm: 2.4859 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0670 loss: 4.0670 2022/08/13 10:19:36 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 3.5055e-02 eta: 3 days, 0:45:52 time: 0.2786 data_time: 0.0168 memory: 6334 grad_norm: 2.3891 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0030 loss: 4.0030 2022/08/13 10:20:04 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 3.5125e-02 eta: 3 days, 0:45:17 time: 0.2772 data_time: 0.0178 memory: 6334 grad_norm: 2.4673 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2040 loss: 4.2040 2022/08/13 10:20:33 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 3.5195e-02 eta: 3 days, 0:44:47 time: 0.2784 data_time: 0.0173 memory: 6334 grad_norm: 2.3672 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1768 loss: 4.1768 2022/08/13 10:20:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:21:01 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 3.5265e-02 eta: 3 days, 0:44:20 time: 0.2882 data_time: 0.0229 memory: 6334 grad_norm: 2.4598 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9126 loss: 3.9126 2022/08/13 10:21:29 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 3.5336e-02 eta: 3 days, 0:43:45 time: 0.2791 data_time: 0.0161 memory: 6334 grad_norm: 2.4217 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8739 loss: 3.8739 2022/08/13 10:21:57 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 3.5406e-02 eta: 3 days, 0:43:11 time: 0.2778 data_time: 0.0161 memory: 6334 grad_norm: 2.4264 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9928 loss: 3.9928 2022/08/13 10:22:25 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 3.5476e-02 eta: 3 days, 0:42:40 time: 0.2774 data_time: 0.0170 memory: 6334 grad_norm: 2.4088 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.8852 loss: 3.8852 2022/08/13 10:22:53 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 3.5546e-02 eta: 3 days, 0:42:03 time: 0.2776 data_time: 0.0164 memory: 6334 grad_norm: 2.3698 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8621 loss: 3.8621 2022/08/13 10:23:21 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 3.5617e-02 eta: 3 days, 0:41:30 time: 0.2898 data_time: 0.0169 memory: 6334 grad_norm: 2.4199 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.8406 loss: 3.8406 2022/08/13 10:23:50 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 3.5687e-02 eta: 3 days, 0:40:58 time: 0.2755 data_time: 0.0147 memory: 6334 grad_norm: 2.5169 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7525 loss: 3.7525 2022/08/13 10:24:17 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 3.5757e-02 eta: 3 days, 0:40:20 time: 0.2763 data_time: 0.0162 memory: 6334 grad_norm: 2.4323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9036 loss: 3.9036 2022/08/13 10:24:46 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 3.5827e-02 eta: 3 days, 0:39:50 time: 0.2767 data_time: 0.0167 memory: 6334 grad_norm: 2.4426 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0021 loss: 4.0021 2022/08/13 10:25:14 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 3.5897e-02 eta: 3 days, 0:39:12 time: 0.2804 data_time: 0.0182 memory: 6334 grad_norm: 2.4047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0690 loss: 4.0690 2022/08/13 10:25:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:25:42 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 3.5968e-02 eta: 3 days, 0:38:40 time: 0.2883 data_time: 0.0188 memory: 6334 grad_norm: 2.5040 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5943 loss: 3.5943 2022/08/13 10:26:10 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 3.6038e-02 eta: 3 days, 0:38:03 time: 0.2772 data_time: 0.0162 memory: 6334 grad_norm: 2.4983 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1255 loss: 4.1255 2022/08/13 10:26:38 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 3.6108e-02 eta: 3 days, 0:37:26 time: 0.2782 data_time: 0.0151 memory: 6334 grad_norm: 2.4319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9412 loss: 3.9412 2022/08/13 10:27:06 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 3.6178e-02 eta: 3 days, 0:37:10 time: 0.2763 data_time: 0.0159 memory: 6334 grad_norm: 2.4779 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8094 loss: 3.8094 2022/08/13 10:27:34 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 3.6249e-02 eta: 3 days, 0:36:34 time: 0.2793 data_time: 0.0163 memory: 6334 grad_norm: 2.3951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0363 loss: 4.0363 2022/08/13 10:28:03 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 3.6319e-02 eta: 3 days, 0:36:06 time: 0.2972 data_time: 0.0173 memory: 6334 grad_norm: 2.3628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1507 loss: 4.1507 2022/08/13 10:28:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:28:18 - mmengine - INFO - Epoch(train) [10][3757/3757] lr: 3.6359e-02 eta: 3 days, 0:35:50 time: 0.2573 data_time: 0.0139 memory: 6334 grad_norm: 2.4684 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.7771 loss: 3.7771 2022/08/13 10:28:41 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:51 time: 0.2438 data_time: 0.1321 memory: 1152 2022/08/13 10:29:02 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:21 time: 0.1971 data_time: 0.1042 memory: 1152 2022/08/13 10:29:22 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:02 time: 0.2192 data_time: 0.1181 memory: 1152 2022/08/13 10:29:27 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.2312 acc/top5: 0.4881 acc/mean1: 0.2311 2022/08/13 10:29:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/13 10:29:29 - mmengine - INFO - The best checkpoint with 0.2312 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/13 10:29:58 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 3.6403e-02 eta: 3 days, 0:33:45 time: 0.2752 data_time: 0.0156 memory: 6334 grad_norm: 2.5158 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9711 loss: 3.9711 2022/08/13 10:30:26 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 3.6473e-02 eta: 3 days, 0:33:12 time: 0.2774 data_time: 0.0178 memory: 6334 grad_norm: 2.4073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4413 loss: 3.4413 2022/08/13 10:30:54 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 3.6544e-02 eta: 3 days, 0:32:34 time: 0.2787 data_time: 0.0178 memory: 6334 grad_norm: 2.4118 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7247 loss: 3.7247 2022/08/13 10:31:22 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 3.6614e-02 eta: 3 days, 0:31:55 time: 0.2813 data_time: 0.0170 memory: 6334 grad_norm: 2.4822 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9274 loss: 3.9274 2022/08/13 10:31:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:31:50 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 3.6684e-02 eta: 3 days, 0:31:17 time: 0.2777 data_time: 0.0168 memory: 6334 grad_norm: 2.5404 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9534 loss: 3.9534 2022/08/13 10:32:18 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 3.6754e-02 eta: 3 days, 0:30:45 time: 0.2773 data_time: 0.0173 memory: 6334 grad_norm: 2.4358 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7903 loss: 3.7903 2022/08/13 10:32:46 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 3.6824e-02 eta: 3 days, 0:30:11 time: 0.2752 data_time: 0.0163 memory: 6334 grad_norm: 2.4854 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8666 loss: 3.8666 2022/08/13 10:33:14 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 3.6894e-02 eta: 3 days, 0:29:43 time: 0.2808 data_time: 0.0168 memory: 6334 grad_norm: 2.4235 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6739 loss: 3.6739 2022/08/13 10:33:43 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 3.6965e-02 eta: 3 days, 0:29:11 time: 0.2830 data_time: 0.0188 memory: 6334 grad_norm: 2.4433 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9706 loss: 3.9706 2022/08/13 10:34:11 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 3.7035e-02 eta: 3 days, 0:28:39 time: 0.2791 data_time: 0.0171 memory: 6334 grad_norm: 2.4413 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7847 loss: 3.7847 2022/08/13 10:34:40 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 3.7105e-02 eta: 3 days, 0:28:41 time: 0.2794 data_time: 0.0166 memory: 6334 grad_norm: 2.4063 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7833 loss: 3.7833 2022/08/13 10:35:09 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 3.7175e-02 eta: 3 days, 0:28:15 time: 0.2820 data_time: 0.0174 memory: 6334 grad_norm: 2.5129 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7740 loss: 3.7740 2022/08/13 10:35:37 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 3.7245e-02 eta: 3 days, 0:27:37 time: 0.2754 data_time: 0.0165 memory: 6334 grad_norm: 2.4396 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6616 loss: 3.6616 2022/08/13 10:36:05 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 3.7316e-02 eta: 3 days, 0:27:22 time: 0.3107 data_time: 0.0191 memory: 6334 grad_norm: 2.4991 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7240 loss: 3.7240 2022/08/13 10:36:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:36:33 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 3.7386e-02 eta: 3 days, 0:26:49 time: 0.2778 data_time: 0.0163 memory: 6334 grad_norm: 2.5045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7481 loss: 3.7481 2022/08/13 10:37:02 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 3.7456e-02 eta: 3 days, 0:26:30 time: 0.2997 data_time: 0.0168 memory: 6334 grad_norm: 2.4142 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6187 loss: 3.6187 2022/08/13 10:37:30 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 3.7526e-02 eta: 3 days, 0:26:00 time: 0.2914 data_time: 0.0168 memory: 6334 grad_norm: 2.4528 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7980 loss: 3.7980 2022/08/13 10:37:59 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 3.7596e-02 eta: 3 days, 0:25:31 time: 0.2767 data_time: 0.0160 memory: 6334 grad_norm: 2.4717 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9303 loss: 3.9303 2022/08/13 10:38:27 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 3.7667e-02 eta: 3 days, 0:24:57 time: 0.2816 data_time: 0.0184 memory: 6334 grad_norm: 2.4396 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7928 loss: 3.7928 2022/08/13 10:38:55 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 3.7737e-02 eta: 3 days, 0:24:23 time: 0.2774 data_time: 0.0166 memory: 6334 grad_norm: 2.4681 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8627 loss: 3.8627 2022/08/13 10:39:23 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 3.7807e-02 eta: 3 days, 0:23:54 time: 0.2913 data_time: 0.0167 memory: 6334 grad_norm: 2.4844 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7932 loss: 3.7932 2022/08/13 10:39:51 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 3.7877e-02 eta: 3 days, 0:23:25 time: 0.2867 data_time: 0.0173 memory: 6334 grad_norm: 2.4538 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.6937 loss: 3.6937 2022/08/13 10:40:19 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 3.7947e-02 eta: 3 days, 0:22:48 time: 0.2752 data_time: 0.0165 memory: 6334 grad_norm: 2.4334 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8816 loss: 3.8816 2022/08/13 10:40:48 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 3.8018e-02 eta: 3 days, 0:22:26 time: 0.2749 data_time: 0.0164 memory: 6334 grad_norm: 2.4509 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8235 loss: 3.8235 2022/08/13 10:40:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:41:16 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 3.8088e-02 eta: 3 days, 0:22:07 time: 0.2732 data_time: 0.0149 memory: 6334 grad_norm: 2.4920 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8910 loss: 3.8910 2022/08/13 10:41:44 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 3.8158e-02 eta: 3 days, 0:21:32 time: 0.2787 data_time: 0.0160 memory: 6334 grad_norm: 2.4223 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5055 loss: 3.5055 2022/08/13 10:42:13 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 3.8228e-02 eta: 3 days, 0:21:08 time: 0.2999 data_time: 0.0159 memory: 6334 grad_norm: 2.4595 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.8418 loss: 3.8418 2022/08/13 10:42:41 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 3.8298e-02 eta: 3 days, 0:20:39 time: 0.2785 data_time: 0.0166 memory: 6334 grad_norm: 2.4935 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7383 loss: 3.7383 2022/08/13 10:43:09 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 3.8369e-02 eta: 3 days, 0:20:06 time: 0.2766 data_time: 0.0166 memory: 6334 grad_norm: 2.5184 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.9361 loss: 3.9361 2022/08/13 10:43:37 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 3.8439e-02 eta: 3 days, 0:19:39 time: 0.2770 data_time: 0.0158 memory: 6334 grad_norm: 2.4844 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9333 loss: 3.9333 2022/08/13 10:44:05 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 3.8509e-02 eta: 3 days, 0:19:04 time: 0.2769 data_time: 0.0175 memory: 6334 grad_norm: 2.5063 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7636 loss: 3.7636 2022/08/13 10:44:33 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 3.8579e-02 eta: 3 days, 0:18:30 time: 0.2772 data_time: 0.0164 memory: 6334 grad_norm: 2.4516 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6736 loss: 3.6736 2022/08/13 10:45:01 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 3.8649e-02 eta: 3 days, 0:17:55 time: 0.2834 data_time: 0.0176 memory: 6334 grad_norm: 2.5369 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9449 loss: 3.9449 2022/08/13 10:45:29 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 3.8719e-02 eta: 3 days, 0:17:21 time: 0.2773 data_time: 0.0160 memory: 6334 grad_norm: 2.4725 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7691 loss: 3.7691 2022/08/13 10:45:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:45:58 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 3.8790e-02 eta: 3 days, 0:16:48 time: 0.2770 data_time: 0.0174 memory: 6334 grad_norm: 2.4240 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8497 loss: 3.8497 2022/08/13 10:46:26 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 3.8860e-02 eta: 3 days, 0:16:16 time: 0.2775 data_time: 0.0163 memory: 6334 grad_norm: 2.4575 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7944 loss: 3.7944 2022/08/13 10:46:54 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 3.8930e-02 eta: 3 days, 0:15:47 time: 0.2883 data_time: 0.0201 memory: 6334 grad_norm: 2.5077 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6553 loss: 3.6553 2022/08/13 10:47:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:47:09 - mmengine - INFO - Epoch(train) [11][3757/3757] lr: 3.8970e-02 eta: 3 days, 0:15:31 time: 0.2560 data_time: 0.0142 memory: 6334 grad_norm: 2.4933 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.7181 loss: 3.7181 2022/08/13 10:47:39 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 3.9009e-02 eta: 3 days, 0:13:49 time: 0.2755 data_time: 0.0161 memory: 6334 grad_norm: 2.4167 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7025 loss: 3.7025 2022/08/13 10:48:07 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 3.9080e-02 eta: 3 days, 0:13:13 time: 0.2771 data_time: 0.0167 memory: 6334 grad_norm: 2.5237 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8051 loss: 3.8051 2022/08/13 10:48:36 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 3.9150e-02 eta: 3 days, 0:12:52 time: 0.3043 data_time: 0.0167 memory: 6334 grad_norm: 2.5401 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7131 loss: 3.7131 2022/08/13 10:49:04 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 3.9220e-02 eta: 3 days, 0:12:15 time: 0.2764 data_time: 0.0150 memory: 6334 grad_norm: 2.5318 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8605 loss: 3.8605 2022/08/13 10:49:32 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 3.9290e-02 eta: 3 days, 0:11:40 time: 0.2779 data_time: 0.0175 memory: 6334 grad_norm: 2.4559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8152 loss: 3.8152 2022/08/13 10:50:00 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 3.9360e-02 eta: 3 days, 0:11:04 time: 0.2738 data_time: 0.0168 memory: 6334 grad_norm: 2.4807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7080 loss: 3.7080 2022/08/13 10:50:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:50:28 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 3.9430e-02 eta: 3 days, 0:10:33 time: 0.2781 data_time: 0.0156 memory: 6334 grad_norm: 2.5516 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5210 loss: 3.5210 2022/08/13 10:50:56 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 3.9500e-02 eta: 3 days, 0:10:09 time: 0.2829 data_time: 0.0175 memory: 6334 grad_norm: 2.5138 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8861 loss: 3.8861 2022/08/13 10:51:24 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 3.9570e-02 eta: 3 days, 0:09:37 time: 0.2781 data_time: 0.0167 memory: 6334 grad_norm: 2.4736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5291 loss: 3.5291 2022/08/13 10:51:53 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 3.9641e-02 eta: 3 days, 0:09:15 time: 0.2967 data_time: 0.0161 memory: 6334 grad_norm: 2.5402 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4861 loss: 3.4861 2022/08/13 10:52:21 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 3.9711e-02 eta: 3 days, 0:08:39 time: 0.2764 data_time: 0.0159 memory: 6334 grad_norm: 2.5285 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1269 loss: 4.1269 2022/08/13 10:52:49 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 3.9781e-02 eta: 3 days, 0:08:03 time: 0.2768 data_time: 0.0159 memory: 6334 grad_norm: 2.4701 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7952 loss: 3.7952 2022/08/13 10:53:17 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 3.9851e-02 eta: 3 days, 0:07:34 time: 0.2841 data_time: 0.0177 memory: 6334 grad_norm: 2.4834 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7606 loss: 3.7606 2022/08/13 10:53:45 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 3.9921e-02 eta: 3 days, 0:07:07 time: 0.2775 data_time: 0.0168 memory: 6334 grad_norm: 2.5341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4942 loss: 3.4942 2022/08/13 10:54:14 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 3.9991e-02 eta: 3 days, 0:06:41 time: 0.2875 data_time: 0.0146 memory: 6334 grad_norm: 2.4632 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7573 loss: 3.7573 2022/08/13 10:54:42 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 4.0061e-02 eta: 3 days, 0:06:07 time: 0.2790 data_time: 0.0160 memory: 6334 grad_norm: 2.4655 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6375 loss: 3.6375 2022/08/13 10:55:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:55:10 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 4.0132e-02 eta: 3 days, 0:05:33 time: 0.2797 data_time: 0.0158 memory: 6334 grad_norm: 2.5741 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.7336 loss: 3.7336 2022/08/13 10:55:38 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 4.0202e-02 eta: 3 days, 0:05:05 time: 0.2760 data_time: 0.0156 memory: 6334 grad_norm: 2.5063 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6744 loss: 3.6744 2022/08/13 10:56:06 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 4.0272e-02 eta: 3 days, 0:04:40 time: 0.2774 data_time: 0.0170 memory: 6334 grad_norm: 2.4983 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7691 loss: 3.7691 2022/08/13 10:56:35 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 4.0342e-02 eta: 3 days, 0:04:20 time: 0.2805 data_time: 0.0174 memory: 6334 grad_norm: 2.5145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7106 loss: 3.7106 2022/08/13 10:57:03 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 4.0412e-02 eta: 3 days, 0:03:45 time: 0.2864 data_time: 0.0168 memory: 6334 grad_norm: 2.5350 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6878 loss: 3.6878 2022/08/13 10:57:31 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 4.0482e-02 eta: 3 days, 0:03:19 time: 0.2760 data_time: 0.0168 memory: 6334 grad_norm: 2.4479 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7544 loss: 3.7544 2022/08/13 10:57:59 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 4.0552e-02 eta: 3 days, 0:02:46 time: 0.2768 data_time: 0.0157 memory: 6334 grad_norm: 2.4632 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9709 loss: 3.9709 2022/08/13 10:58:28 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 4.0623e-02 eta: 3 days, 0:02:22 time: 0.2972 data_time: 0.0182 memory: 6334 grad_norm: 2.4463 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6335 loss: 3.6335 2022/08/13 10:58:56 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 4.0693e-02 eta: 3 days, 0:01:50 time: 0.2771 data_time: 0.0157 memory: 6334 grad_norm: 2.5469 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5610 loss: 3.5610 2022/08/13 10:59:25 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 4.0763e-02 eta: 3 days, 0:01:35 time: 0.3163 data_time: 0.0159 memory: 6334 grad_norm: 2.5014 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7107 loss: 3.7107 2022/08/13 10:59:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 10:59:53 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 4.0833e-02 eta: 3 days, 0:01:04 time: 0.2766 data_time: 0.0169 memory: 6334 grad_norm: 2.4873 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.6548 loss: 3.6548 2022/08/13 11:00:21 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 4.0903e-02 eta: 3 days, 0:00:32 time: 0.2779 data_time: 0.0164 memory: 6334 grad_norm: 2.4428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7995 loss: 3.7995 2022/08/13 11:00:49 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 4.0973e-02 eta: 3 days, 0:00:07 time: 0.2754 data_time: 0.0164 memory: 6334 grad_norm: 2.4653 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8333 loss: 3.8333 2022/08/13 11:01:18 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 4.1043e-02 eta: 2 days, 23:59:43 time: 0.2793 data_time: 0.0163 memory: 6334 grad_norm: 2.4784 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8021 loss: 3.8021 2022/08/13 11:01:46 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 4.1113e-02 eta: 2 days, 23:59:07 time: 0.2784 data_time: 0.0163 memory: 6334 grad_norm: 2.4317 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4089 loss: 3.4089 2022/08/13 11:02:14 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 4.1184e-02 eta: 2 days, 23:58:36 time: 0.2879 data_time: 0.0162 memory: 6334 grad_norm: 2.5148 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8925 loss: 3.8925 2022/08/13 11:02:42 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 4.1254e-02 eta: 2 days, 23:58:00 time: 0.2765 data_time: 0.0156 memory: 6334 grad_norm: 2.5459 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5900 loss: 3.5900 2022/08/13 11:03:10 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 4.1324e-02 eta: 2 days, 23:57:30 time: 0.2783 data_time: 0.0158 memory: 6334 grad_norm: 2.5116 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3566 loss: 3.3566 2022/08/13 11:03:38 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 4.1394e-02 eta: 2 days, 23:57:02 time: 0.2761 data_time: 0.0162 memory: 6334 grad_norm: 2.5216 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7247 loss: 3.7247 2022/08/13 11:04:06 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 4.1464e-02 eta: 2 days, 23:56:30 time: 0.2789 data_time: 0.0166 memory: 6334 grad_norm: 2.4920 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7466 loss: 3.7466 2022/08/13 11:04:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:04:35 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 4.1534e-02 eta: 2 days, 23:56:01 time: 0.2822 data_time: 0.0174 memory: 6334 grad_norm: 2.5555 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6036 loss: 3.6036 2022/08/13 11:04:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:04:50 - mmengine - INFO - Epoch(train) [12][3757/3757] lr: 4.1574e-02 eta: 2 days, 23:55:46 time: 0.2573 data_time: 0.0133 memory: 6334 grad_norm: 2.5323 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 3.7900 loss: 3.7900 2022/08/13 11:04:50 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/13 11:05:22 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 4.1608e-02 eta: 2 days, 23:53:45 time: 0.2763 data_time: 0.0156 memory: 6334 grad_norm: 2.5527 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6976 loss: 3.6976 2022/08/13 11:05:50 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 4.1678e-02 eta: 2 days, 23:53:11 time: 0.2768 data_time: 0.0165 memory: 6334 grad_norm: 2.5316 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8085 loss: 3.8085 2022/08/13 11:06:18 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 4.1748e-02 eta: 2 days, 23:52:40 time: 0.2794 data_time: 0.0181 memory: 6334 grad_norm: 2.4641 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7491 loss: 3.7491 2022/08/13 11:06:46 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 4.1819e-02 eta: 2 days, 23:52:11 time: 0.2855 data_time: 0.0190 memory: 6334 grad_norm: 2.5103 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9289 loss: 3.9289 2022/08/13 11:07:14 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 4.1889e-02 eta: 2 days, 23:51:41 time: 0.2849 data_time: 0.0165 memory: 6334 grad_norm: 2.5254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.9329 loss: 3.9329 2022/08/13 11:07:42 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 4.1959e-02 eta: 2 days, 23:51:06 time: 0.2758 data_time: 0.0155 memory: 6334 grad_norm: 2.5331 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6517 loss: 3.6517 2022/08/13 11:08:10 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 4.2029e-02 eta: 2 days, 23:50:34 time: 0.2778 data_time: 0.0167 memory: 6334 grad_norm: 2.5367 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6376 loss: 3.6376 2022/08/13 11:08:38 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 4.2099e-02 eta: 2 days, 23:50:02 time: 0.2784 data_time: 0.0167 memory: 6334 grad_norm: 2.5026 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6662 loss: 3.6662 2022/08/13 11:09:07 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 4.2169e-02 eta: 2 days, 23:49:41 time: 0.3125 data_time: 0.0186 memory: 6334 grad_norm: 2.5009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.8418 loss: 3.8418 2022/08/13 11:09:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:09:35 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 4.2239e-02 eta: 2 days, 23:49:14 time: 0.2822 data_time: 0.0166 memory: 6334 grad_norm: 2.4923 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7671 loss: 3.7671 2022/08/13 11:10:03 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 4.2309e-02 eta: 2 days, 23:48:40 time: 0.2785 data_time: 0.0163 memory: 6334 grad_norm: 2.4949 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3591 loss: 3.3591 2022/08/13 11:10:31 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 4.2379e-02 eta: 2 days, 23:48:06 time: 0.2781 data_time: 0.0173 memory: 6334 grad_norm: 2.5468 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8012 loss: 3.8012 2022/08/13 11:10:59 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 4.2449e-02 eta: 2 days, 23:47:36 time: 0.2790 data_time: 0.0168 memory: 6334 grad_norm: 2.6063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6043 loss: 3.6043 2022/08/13 11:11:27 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 4.2519e-02 eta: 2 days, 23:47:06 time: 0.2895 data_time: 0.0148 memory: 6334 grad_norm: 2.4946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4592 loss: 3.4592 2022/08/13 11:11:56 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 4.2589e-02 eta: 2 days, 23:46:40 time: 0.2772 data_time: 0.0164 memory: 6334 grad_norm: 2.4856 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5022 loss: 3.5022 2022/08/13 11:12:24 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 4.2659e-02 eta: 2 days, 23:46:16 time: 0.2860 data_time: 0.0187 memory: 6334 grad_norm: 2.5201 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8076 loss: 3.8076 2022/08/13 11:12:52 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 4.2730e-02 eta: 2 days, 23:45:48 time: 0.2763 data_time: 0.0164 memory: 6334 grad_norm: 2.4885 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4010 loss: 3.4010 2022/08/13 11:13:21 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 4.2800e-02 eta: 2 days, 23:45:18 time: 0.2789 data_time: 0.0174 memory: 6334 grad_norm: 2.5695 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2966 loss: 3.2966 2022/08/13 11:13:49 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 4.2870e-02 eta: 2 days, 23:44:49 time: 0.2757 data_time: 0.0156 memory: 6334 grad_norm: 2.4281 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4916 loss: 3.4916 2022/08/13 11:13:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:14:17 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 4.2940e-02 eta: 2 days, 23:44:17 time: 0.2837 data_time: 0.0196 memory: 6334 grad_norm: 2.5741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9846 loss: 3.9846 2022/08/13 11:14:45 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 4.3010e-02 eta: 2 days, 23:43:44 time: 0.2774 data_time: 0.0173 memory: 6334 grad_norm: 2.4435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0785 loss: 4.0785 2022/08/13 11:15:13 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 4.3080e-02 eta: 2 days, 23:43:09 time: 0.2781 data_time: 0.0162 memory: 6334 grad_norm: 2.5840 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6998 loss: 3.6998 2022/08/13 11:15:41 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 4.3150e-02 eta: 2 days, 23:42:36 time: 0.2802 data_time: 0.0170 memory: 6334 grad_norm: 2.4604 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4309 loss: 3.4309 2022/08/13 11:16:09 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 4.3220e-02 eta: 2 days, 23:42:03 time: 0.2783 data_time: 0.0171 memory: 6334 grad_norm: 2.5092 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.7508 loss: 3.7508 2022/08/13 11:16:38 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 4.3290e-02 eta: 2 days, 23:41:54 time: 0.2976 data_time: 0.0184 memory: 6334 grad_norm: 2.4945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2555 loss: 3.2555 2022/08/13 11:17:06 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 4.3360e-02 eta: 2 days, 23:41:22 time: 0.2772 data_time: 0.0166 memory: 6334 grad_norm: 2.5460 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6708 loss: 3.6708 2022/08/13 11:17:34 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 4.3430e-02 eta: 2 days, 23:40:52 time: 0.2823 data_time: 0.0167 memory: 6334 grad_norm: 2.5619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6853 loss: 3.6853 2022/08/13 11:18:02 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 4.3500e-02 eta: 2 days, 23:40:22 time: 0.2769 data_time: 0.0166 memory: 6334 grad_norm: 2.5333 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5523 loss: 3.5523 2022/08/13 11:18:30 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 4.3570e-02 eta: 2 days, 23:39:50 time: 0.2768 data_time: 0.0158 memory: 6334 grad_norm: 2.4457 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8818 loss: 3.8818 2022/08/13 11:18:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:18:59 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 4.3641e-02 eta: 2 days, 23:39:24 time: 0.2894 data_time: 0.0175 memory: 6334 grad_norm: 2.4237 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6792 loss: 3.6792 2022/08/13 11:19:27 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 4.3711e-02 eta: 2 days, 23:38:56 time: 0.2808 data_time: 0.0180 memory: 6334 grad_norm: 2.4934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6765 loss: 3.6765 2022/08/13 11:19:55 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 4.3781e-02 eta: 2 days, 23:38:25 time: 0.2835 data_time: 0.0170 memory: 6334 grad_norm: 2.4809 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6970 loss: 3.6970 2022/08/13 11:20:23 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 4.3851e-02 eta: 2 days, 23:37:57 time: 0.2766 data_time: 0.0173 memory: 6334 grad_norm: 2.4690 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5712 loss: 3.5712 2022/08/13 11:20:52 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 4.3921e-02 eta: 2 days, 23:37:28 time: 0.2783 data_time: 0.0167 memory: 6334 grad_norm: 2.4728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4177 loss: 3.4177 2022/08/13 11:21:20 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 4.3991e-02 eta: 2 days, 23:37:00 time: 0.2847 data_time: 0.0178 memory: 6334 grad_norm: 2.4596 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4141 loss: 3.4141 2022/08/13 11:21:48 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 4.4061e-02 eta: 2 days, 23:36:29 time: 0.2852 data_time: 0.0188 memory: 6334 grad_norm: 2.5652 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0977 loss: 4.0977 2022/08/13 11:22:16 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 4.4131e-02 eta: 2 days, 23:35:56 time: 0.2766 data_time: 0.0166 memory: 6334 grad_norm: 2.4963 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5758 loss: 3.5758 2022/08/13 11:22:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:22:32 - mmengine - INFO - Epoch(train) [13][3757/3757] lr: 4.4171e-02 eta: 2 days, 23:35:59 time: 0.2574 data_time: 0.0146 memory: 6334 grad_norm: 2.4578 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.7569 loss: 3.7569 2022/08/13 11:23:03 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 4.4199e-02 eta: 2 days, 23:34:44 time: 0.2759 data_time: 0.0152 memory: 6334 grad_norm: 2.5074 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5182 loss: 3.5182 2022/08/13 11:23:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:23:32 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 4.4269e-02 eta: 2 days, 23:34:23 time: 0.2791 data_time: 0.0164 memory: 6334 grad_norm: 2.4614 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5695 loss: 3.5695 2022/08/13 11:24:01 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 4.4339e-02 eta: 2 days, 23:34:09 time: 0.2763 data_time: 0.0165 memory: 6334 grad_norm: 2.5491 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6554 loss: 3.6554 2022/08/13 11:24:29 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 4.4409e-02 eta: 2 days, 23:33:42 time: 0.2884 data_time: 0.0174 memory: 6334 grad_norm: 2.5076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1843 loss: 3.1843 2022/08/13 11:24:58 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 4.4479e-02 eta: 2 days, 23:33:29 time: 0.2947 data_time: 0.0207 memory: 6334 grad_norm: 2.4264 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4002 loss: 3.4002 2022/08/13 11:25:27 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 4.4549e-02 eta: 2 days, 23:32:58 time: 0.2779 data_time: 0.0164 memory: 6334 grad_norm: 2.4174 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3836 loss: 3.3836 2022/08/13 11:25:55 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 4.4619e-02 eta: 2 days, 23:32:38 time: 0.2925 data_time: 0.0183 memory: 6334 grad_norm: 2.4729 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5055 loss: 3.5055 2022/08/13 11:26:23 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 4.4689e-02 eta: 2 days, 23:32:11 time: 0.2839 data_time: 0.0207 memory: 6334 grad_norm: 2.5599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2638 loss: 3.2638 2022/08/13 11:26:52 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 4.4759e-02 eta: 2 days, 23:31:43 time: 0.2804 data_time: 0.0188 memory: 6334 grad_norm: 2.5203 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7189 loss: 3.7189 2022/08/13 11:27:20 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 4.4829e-02 eta: 2 days, 23:31:21 time: 0.2754 data_time: 0.0160 memory: 6334 grad_norm: 2.4117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.8903 loss: 3.8903 2022/08/13 11:27:49 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 4.4899e-02 eta: 2 days, 23:30:51 time: 0.2786 data_time: 0.0180 memory: 6334 grad_norm: 2.5417 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0751 loss: 3.0751 2022/08/13 11:28:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:28:17 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 4.4969e-02 eta: 2 days, 23:30:24 time: 0.2886 data_time: 0.0202 memory: 6334 grad_norm: 2.4888 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3506 loss: 3.3506 2022/08/13 11:28:45 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 4.5039e-02 eta: 2 days, 23:29:52 time: 0.2767 data_time: 0.0173 memory: 6334 grad_norm: 2.4770 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6475 loss: 3.6475 2022/08/13 11:29:13 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 4.5109e-02 eta: 2 days, 23:29:22 time: 0.2772 data_time: 0.0167 memory: 6334 grad_norm: 2.5145 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5179 loss: 3.5179 2022/08/13 11:29:42 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 4.5179e-02 eta: 2 days, 23:28:59 time: 0.2777 data_time: 0.0177 memory: 6334 grad_norm: 2.4884 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5564 loss: 3.5564 2022/08/13 11:30:10 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 4.5250e-02 eta: 2 days, 23:28:31 time: 0.2799 data_time: 0.0176 memory: 6334 grad_norm: 2.4676 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4557 loss: 3.4557 2022/08/13 11:30:38 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 4.5320e-02 eta: 2 days, 23:28:05 time: 0.2930 data_time: 0.0195 memory: 6334 grad_norm: 2.5404 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5136 loss: 3.5136 2022/08/13 11:31:06 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 4.5390e-02 eta: 2 days, 23:27:30 time: 0.2769 data_time: 0.0174 memory: 6334 grad_norm: 2.4979 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7322 loss: 3.7322 2022/08/13 11:31:34 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 4.5460e-02 eta: 2 days, 23:26:58 time: 0.2752 data_time: 0.0166 memory: 6334 grad_norm: 2.5528 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4814 loss: 3.4814 2022/08/13 11:32:02 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 4.5530e-02 eta: 2 days, 23:26:30 time: 0.2772 data_time: 0.0178 memory: 6334 grad_norm: 2.5475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6884 loss: 3.6884 2022/08/13 11:32:30 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 4.5600e-02 eta: 2 days, 23:25:55 time: 0.2765 data_time: 0.0166 memory: 6334 grad_norm: 2.5339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6909 loss: 3.6909 2022/08/13 11:32:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:32:59 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 4.5670e-02 eta: 2 days, 23:25:30 time: 0.2829 data_time: 0.0171 memory: 6334 grad_norm: 2.4480 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4856 loss: 3.4856 2022/08/13 11:33:27 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 4.5740e-02 eta: 2 days, 23:25:00 time: 0.2776 data_time: 0.0177 memory: 6334 grad_norm: 2.4684 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5404 loss: 3.5404 2022/08/13 11:33:55 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 4.5810e-02 eta: 2 days, 23:24:30 time: 0.2802 data_time: 0.0179 memory: 6334 grad_norm: 2.5340 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8689 loss: 3.8689 2022/08/13 11:34:23 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 4.5880e-02 eta: 2 days, 23:24:00 time: 0.2781 data_time: 0.0170 memory: 6334 grad_norm: 2.4898 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7492 loss: 3.7492 2022/08/13 11:34:51 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 4.5950e-02 eta: 2 days, 23:23:31 time: 0.2763 data_time: 0.0190 memory: 6334 grad_norm: 2.4617 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6378 loss: 3.6378 2022/08/13 11:35:20 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 4.6020e-02 eta: 2 days, 23:23:02 time: 0.2872 data_time: 0.0166 memory: 6334 grad_norm: 2.5033 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4580 loss: 3.4580 2022/08/13 11:35:48 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 4.6090e-02 eta: 2 days, 23:22:30 time: 0.2773 data_time: 0.0161 memory: 6334 grad_norm: 2.4783 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3024 loss: 3.3024 2022/08/13 11:36:16 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 4.6160e-02 eta: 2 days, 23:22:04 time: 0.2876 data_time: 0.0181 memory: 6334 grad_norm: 2.4779 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5438 loss: 3.5438 2022/08/13 11:36:44 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 4.6230e-02 eta: 2 days, 23:21:31 time: 0.2764 data_time: 0.0158 memory: 6334 grad_norm: 2.5298 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5633 loss: 3.5633 2022/08/13 11:37:12 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 4.6300e-02 eta: 2 days, 23:21:05 time: 0.2769 data_time: 0.0174 memory: 6334 grad_norm: 2.5158 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6840 loss: 3.6840 2022/08/13 11:37:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:37:41 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 4.6370e-02 eta: 2 days, 23:20:42 time: 0.2971 data_time: 0.0187 memory: 6334 grad_norm: 2.4950 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7249 loss: 3.7249 2022/08/13 11:38:09 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 4.6440e-02 eta: 2 days, 23:20:09 time: 0.2770 data_time: 0.0178 memory: 6334 grad_norm: 2.5215 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7691 loss: 3.7691 2022/08/13 11:38:38 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 4.6510e-02 eta: 2 days, 23:19:49 time: 0.3078 data_time: 0.0177 memory: 6334 grad_norm: 2.4703 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6751 loss: 3.6751 2022/08/13 11:39:06 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 4.6580e-02 eta: 2 days, 23:19:18 time: 0.2772 data_time: 0.0163 memory: 6334 grad_norm: 2.4634 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4210 loss: 3.4210 2022/08/13 11:39:34 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 4.6650e-02 eta: 2 days, 23:18:51 time: 0.2761 data_time: 0.0176 memory: 6334 grad_norm: 2.4245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7050 loss: 3.7050 2022/08/13 11:40:03 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 4.6720e-02 eta: 2 days, 23:18:25 time: 0.2782 data_time: 0.0170 memory: 6334 grad_norm: 2.4301 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6753 loss: 3.6753 2022/08/13 11:40:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:40:18 - mmengine - INFO - Epoch(train) [14][3757/3757] lr: 4.6760e-02 eta: 2 days, 23:18:13 time: 0.2609 data_time: 0.0153 memory: 6334 grad_norm: 2.5076 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.6335 loss: 3.6335 2022/08/13 11:40:49 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 4.6782e-02 eta: 2 days, 23:17:03 time: 0.2778 data_time: 0.0165 memory: 6334 grad_norm: 2.5206 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5280 loss: 3.5280 2022/08/13 11:41:18 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 4.6852e-02 eta: 2 days, 23:16:46 time: 0.2927 data_time: 0.0179 memory: 6334 grad_norm: 2.5030 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.4577 loss: 3.4577 2022/08/13 11:41:46 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 4.6922e-02 eta: 2 days, 23:16:14 time: 0.2773 data_time: 0.0167 memory: 6334 grad_norm: 2.5199 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5421 loss: 3.5421 2022/08/13 11:42:14 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 4.6992e-02 eta: 2 days, 23:15:44 time: 0.2769 data_time: 0.0168 memory: 6334 grad_norm: 2.5149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3499 loss: 3.3499 2022/08/13 11:42:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:42:43 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 4.7062e-02 eta: 2 days, 23:15:18 time: 0.2792 data_time: 0.0175 memory: 6334 grad_norm: 2.4945 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6003 loss: 3.6003 2022/08/13 11:43:11 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 4.7132e-02 eta: 2 days, 23:14:47 time: 0.2800 data_time: 0.0176 memory: 6334 grad_norm: 2.5255 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4072 loss: 3.4072 2022/08/13 11:43:39 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 4.7202e-02 eta: 2 days, 23:14:21 time: 0.2816 data_time: 0.0170 memory: 6334 grad_norm: 2.5584 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5252 loss: 3.5252 2022/08/13 11:44:07 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 4.7272e-02 eta: 2 days, 23:13:53 time: 0.2780 data_time: 0.0176 memory: 6334 grad_norm: 2.4862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4215 loss: 3.4215 2022/08/13 11:44:35 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 4.7341e-02 eta: 2 days, 23:13:20 time: 0.2778 data_time: 0.0170 memory: 6334 grad_norm: 2.4651 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3879 loss: 3.3879 2022/08/13 11:45:04 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 4.7411e-02 eta: 2 days, 23:12:54 time: 0.2783 data_time: 0.0172 memory: 6334 grad_norm: 2.4828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4753 loss: 3.4753 2022/08/13 11:45:32 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 4.7481e-02 eta: 2 days, 23:12:27 time: 0.2774 data_time: 0.0169 memory: 6334 grad_norm: 2.5014 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5847 loss: 3.5847 2022/08/13 11:46:00 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 4.7551e-02 eta: 2 days, 23:11:59 time: 0.2910 data_time: 0.0187 memory: 6334 grad_norm: 2.4582 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6564 loss: 3.6564 2022/08/13 11:46:32 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 4.7621e-02 eta: 2 days, 23:12:27 time: 0.2767 data_time: 0.0166 memory: 6334 grad_norm: 2.4810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6213 loss: 3.6213 2022/08/13 11:47:01 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 4.7691e-02 eta: 2 days, 23:12:07 time: 0.2981 data_time: 0.0185 memory: 6334 grad_norm: 2.5205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3264 loss: 3.3264 2022/08/13 11:47:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:47:29 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 4.7761e-02 eta: 2 days, 23:11:43 time: 0.2779 data_time: 0.0165 memory: 6334 grad_norm: 2.5034 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4062 loss: 3.4062 2022/08/13 11:47:57 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 4.7831e-02 eta: 2 days, 23:11:12 time: 0.2861 data_time: 0.0172 memory: 6334 grad_norm: 2.5325 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8041 loss: 3.8041 2022/08/13 11:48:25 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 4.7901e-02 eta: 2 days, 23:10:39 time: 0.2782 data_time: 0.0176 memory: 6334 grad_norm: 2.5994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.7482 loss: 3.7482 2022/08/13 11:48:54 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 4.7971e-02 eta: 2 days, 23:10:12 time: 0.2769 data_time: 0.0168 memory: 6334 grad_norm: 2.4716 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5254 loss: 3.5254 2022/08/13 11:49:22 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 4.8041e-02 eta: 2 days, 23:09:42 time: 0.2866 data_time: 0.0190 memory: 6334 grad_norm: 2.5426 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2605 loss: 3.2605 2022/08/13 11:49:50 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 4.8111e-02 eta: 2 days, 23:09:10 time: 0.2763 data_time: 0.0172 memory: 6334 grad_norm: 2.4555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4105 loss: 3.4105 2022/08/13 11:50:18 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 4.8181e-02 eta: 2 days, 23:08:42 time: 0.2785 data_time: 0.0169 memory: 6334 grad_norm: 2.4860 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4587 loss: 3.4587 2022/08/13 11:50:46 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 4.8251e-02 eta: 2 days, 23:08:08 time: 0.2783 data_time: 0.0169 memory: 6334 grad_norm: 2.4433 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7826 loss: 3.7826 2022/08/13 11:51:14 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 4.8321e-02 eta: 2 days, 23:07:36 time: 0.2778 data_time: 0.0164 memory: 6334 grad_norm: 2.5269 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2702 loss: 3.2702 2022/08/13 11:51:42 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 4.8391e-02 eta: 2 days, 23:07:07 time: 0.2852 data_time: 0.0183 memory: 6334 grad_norm: 2.4946 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2314 loss: 3.2314 2022/08/13 11:51:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:52:10 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 4.8460e-02 eta: 2 days, 23:06:35 time: 0.2775 data_time: 0.0165 memory: 6334 grad_norm: 2.5811 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5910 loss: 3.5910 2022/08/13 11:52:39 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 4.8530e-02 eta: 2 days, 23:06:07 time: 0.2846 data_time: 0.0186 memory: 6334 grad_norm: 2.4825 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1908 loss: 3.1908 2022/08/13 11:53:07 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 4.8600e-02 eta: 2 days, 23:05:36 time: 0.2763 data_time: 0.0168 memory: 6334 grad_norm: 2.4989 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4794 loss: 3.4794 2022/08/13 11:53:35 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 4.8670e-02 eta: 2 days, 23:05:03 time: 0.2783 data_time: 0.0179 memory: 6334 grad_norm: 2.4980 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6384 loss: 3.6384 2022/08/13 11:54:03 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 4.8740e-02 eta: 2 days, 23:04:35 time: 0.2886 data_time: 0.0197 memory: 6334 grad_norm: 2.4915 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6282 loss: 3.6282 2022/08/13 11:54:31 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 4.8810e-02 eta: 2 days, 23:04:07 time: 0.2802 data_time: 0.0177 memory: 6334 grad_norm: 2.4864 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4890 loss: 3.4890 2022/08/13 11:54:59 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 4.8880e-02 eta: 2 days, 23:03:37 time: 0.2807 data_time: 0.0184 memory: 6334 grad_norm: 2.5443 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.8261 loss: 3.8261 2022/08/13 11:55:29 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 4.8950e-02 eta: 2 days, 23:03:25 time: 0.3370 data_time: 0.0166 memory: 6334 grad_norm: 2.5324 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7554 loss: 3.7554 2022/08/13 11:55:56 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 4.9020e-02 eta: 2 days, 23:02:51 time: 0.2784 data_time: 0.0170 memory: 6334 grad_norm: 2.5240 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5921 loss: 3.5921 2022/08/13 11:56:25 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 4.9090e-02 eta: 2 days, 23:02:25 time: 0.2781 data_time: 0.0159 memory: 6334 grad_norm: 2.5555 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6503 loss: 3.6503 2022/08/13 11:56:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:56:54 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 4.9160e-02 eta: 2 days, 23:02:05 time: 0.2757 data_time: 0.0168 memory: 6334 grad_norm: 2.4796 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5134 loss: 3.5134 2022/08/13 11:57:22 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 4.9230e-02 eta: 2 days, 23:01:36 time: 0.2791 data_time: 0.0183 memory: 6334 grad_norm: 2.5124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4420 loss: 3.4420 2022/08/13 11:57:51 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 4.9300e-02 eta: 2 days, 23:01:18 time: 0.2959 data_time: 0.0195 memory: 6334 grad_norm: 2.4811 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6328 loss: 3.6328 2022/08/13 11:58:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 11:58:06 - mmengine - INFO - Epoch(train) [15][3757/3757] lr: 4.9340e-02 eta: 2 days, 23:01:04 time: 0.2575 data_time: 0.0139 memory: 6334 grad_norm: 2.4838 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.3260 loss: 3.3260 2022/08/13 11:58:29 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:00:49 time: 0.2335 data_time: 0.1268 memory: 1152 2022/08/13 11:58:50 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:22 time: 0.2021 data_time: 0.1058 memory: 1152 2022/08/13 11:59:11 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:02 time: 0.2131 data_time: 0.1057 memory: 1152 2022/08/13 11:59:16 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.2950 acc/top5: 0.5598 acc/mean1: 0.2949 2022/08/13 11:59:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/13 11:59:17 - mmengine - INFO - The best checkpoint with 0.2950 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/13 11:59:47 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 4.9355e-02 eta: 2 days, 22:59:35 time: 0.2749 data_time: 0.0157 memory: 6334 grad_norm: 2.4949 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5120 loss: 3.5120 2022/08/13 12:00:20 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 4.9425e-02 eta: 2 days, 23:00:23 time: 0.2825 data_time: 0.0176 memory: 6334 grad_norm: 2.4248 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6585 loss: 3.6585 2022/08/13 12:00:48 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 4.9495e-02 eta: 2 days, 22:59:51 time: 0.2778 data_time: 0.0173 memory: 6334 grad_norm: 2.4606 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6290 loss: 3.6290 2022/08/13 12:01:16 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 4.9565e-02 eta: 2 days, 22:59:19 time: 0.2774 data_time: 0.0171 memory: 6334 grad_norm: 2.4604 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5055 loss: 3.5055 2022/08/13 12:01:44 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 4.9635e-02 eta: 2 days, 22:58:50 time: 0.2789 data_time: 0.0179 memory: 6334 grad_norm: 2.5063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5626 loss: 3.5626 2022/08/13 12:02:12 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 4.9705e-02 eta: 2 days, 22:58:19 time: 0.2822 data_time: 0.0162 memory: 6334 grad_norm: 2.4933 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.4599 loss: 3.4599 2022/08/13 12:02:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:02:41 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 4.9775e-02 eta: 2 days, 22:57:51 time: 0.2880 data_time: 0.0177 memory: 6334 grad_norm: 2.4677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4982 loss: 3.4982 2022/08/13 12:03:09 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 4.9845e-02 eta: 2 days, 22:57:20 time: 0.2818 data_time: 0.0182 memory: 6334 grad_norm: 2.5525 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3302 loss: 3.3302 2022/08/13 12:03:37 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 4.9914e-02 eta: 2 days, 22:56:54 time: 0.2782 data_time: 0.0176 memory: 6334 grad_norm: 2.4184 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6452 loss: 3.6452 2022/08/13 12:04:05 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 4.9984e-02 eta: 2 days, 22:56:23 time: 0.2781 data_time: 0.0198 memory: 6334 grad_norm: 2.5019 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6418 loss: 3.6418 2022/08/13 12:04:34 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 5.0054e-02 eta: 2 days, 22:55:58 time: 0.2783 data_time: 0.0200 memory: 6334 grad_norm: 2.4599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.5120 loss: 3.5120 2022/08/13 12:05:02 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 5.0124e-02 eta: 2 days, 22:55:28 time: 0.2766 data_time: 0.0166 memory: 6334 grad_norm: 2.5093 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4046 loss: 3.4046 2022/08/13 12:05:30 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 5.0194e-02 eta: 2 days, 22:54:56 time: 0.2779 data_time: 0.0175 memory: 6334 grad_norm: 2.5338 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3969 loss: 3.3969 2022/08/13 12:05:58 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 5.0264e-02 eta: 2 days, 22:54:24 time: 0.2781 data_time: 0.0170 memory: 6334 grad_norm: 2.4833 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2580 loss: 3.2580 2022/08/13 12:06:26 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 5.0334e-02 eta: 2 days, 22:53:55 time: 0.2792 data_time: 0.0159 memory: 6334 grad_norm: 2.5339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3370 loss: 3.3370 2022/08/13 12:06:54 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 5.0403e-02 eta: 2 days, 22:53:24 time: 0.2786 data_time: 0.0192 memory: 6334 grad_norm: 2.5016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8286 loss: 3.8286 2022/08/13 12:07:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:07:23 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 5.0473e-02 eta: 2 days, 22:52:59 time: 0.2961 data_time: 0.0161 memory: 6334 grad_norm: 2.4871 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5492 loss: 3.5492 2022/08/13 12:07:51 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 5.0543e-02 eta: 2 days, 22:52:29 time: 0.2780 data_time: 0.0173 memory: 6334 grad_norm: 2.4888 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4890 loss: 3.4890 2022/08/13 12:08:19 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 5.0613e-02 eta: 2 days, 22:52:05 time: 0.2938 data_time: 0.0188 memory: 6334 grad_norm: 2.4296 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3982 loss: 3.3982 2022/08/13 12:08:48 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 5.0683e-02 eta: 2 days, 22:51:39 time: 0.2810 data_time: 0.0185 memory: 6334 grad_norm: 2.4881 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4823 loss: 3.4823 2022/08/13 12:09:16 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 5.0753e-02 eta: 2 days, 22:51:13 time: 0.2795 data_time: 0.0169 memory: 6334 grad_norm: 2.5193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5542 loss: 3.5542 2022/08/13 12:09:44 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 5.0823e-02 eta: 2 days, 22:50:44 time: 0.2768 data_time: 0.0172 memory: 6334 grad_norm: 2.5434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3100 loss: 3.3100 2022/08/13 12:10:13 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 5.0892e-02 eta: 2 days, 22:50:18 time: 0.2888 data_time: 0.0165 memory: 6334 grad_norm: 2.4867 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3490 loss: 3.3490 2022/08/13 12:10:41 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 5.0962e-02 eta: 2 days, 22:49:49 time: 0.2842 data_time: 0.0199 memory: 6334 grad_norm: 2.5685 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7128 loss: 3.7128 2022/08/13 12:11:09 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 5.1032e-02 eta: 2 days, 22:49:18 time: 0.2780 data_time: 0.0165 memory: 6334 grad_norm: 2.4723 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2737 loss: 3.2737 2022/08/13 12:11:37 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 5.1102e-02 eta: 2 days, 22:48:49 time: 0.2772 data_time: 0.0178 memory: 6334 grad_norm: 2.4306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4798 loss: 3.4798 2022/08/13 12:11:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:12:05 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 5.1172e-02 eta: 2 days, 22:48:19 time: 0.2769 data_time: 0.0169 memory: 6334 grad_norm: 2.5003 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6741 loss: 3.6741 2022/08/13 12:12:34 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 5.1242e-02 eta: 2 days, 22:47:49 time: 0.2806 data_time: 0.0184 memory: 6334 grad_norm: 2.5484 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4922 loss: 3.4922 2022/08/13 12:13:02 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 5.1312e-02 eta: 2 days, 22:47:21 time: 0.2876 data_time: 0.0178 memory: 6334 grad_norm: 2.5161 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8504 loss: 3.8504 2022/08/13 12:13:30 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 5.1381e-02 eta: 2 days, 22:46:49 time: 0.2764 data_time: 0.0171 memory: 6334 grad_norm: 2.4532 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1940 loss: 3.1940 2022/08/13 12:13:58 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 5.1451e-02 eta: 2 days, 22:46:21 time: 0.2784 data_time: 0.0173 memory: 6334 grad_norm: 2.5146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6941 loss: 3.6941 2022/08/13 12:14:26 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 5.1521e-02 eta: 2 days, 22:45:49 time: 0.2785 data_time: 0.0166 memory: 6334 grad_norm: 2.5830 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.6143 loss: 3.6143 2022/08/13 12:14:54 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 5.1591e-02 eta: 2 days, 22:45:21 time: 0.2821 data_time: 0.0200 memory: 6334 grad_norm: 2.5280 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6838 loss: 3.6838 2022/08/13 12:15:23 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 5.1661e-02 eta: 2 days, 22:44:55 time: 0.2957 data_time: 0.0189 memory: 6334 grad_norm: 2.4892 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3791 loss: 3.3791 2022/08/13 12:15:51 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 5.1731e-02 eta: 2 days, 22:44:26 time: 0.2884 data_time: 0.0163 memory: 6334 grad_norm: 2.4756 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3181 loss: 3.3181 2022/08/13 12:16:19 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 5.1801e-02 eta: 2 days, 22:43:59 time: 0.2788 data_time: 0.0172 memory: 6334 grad_norm: 2.4967 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5887 loss: 3.5887 2022/08/13 12:16:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:16:47 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 5.1871e-02 eta: 2 days, 22:43:26 time: 0.2758 data_time: 0.0165 memory: 6334 grad_norm: 2.4412 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4316 loss: 3.4316 2022/08/13 12:17:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:17:03 - mmengine - INFO - Epoch(train) [16][3757/3757] lr: 5.1910e-02 eta: 2 days, 22:43:15 time: 0.2590 data_time: 0.0152 memory: 6334 grad_norm: 2.4567 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.2970 loss: 3.2970 2022/08/13 12:17:03 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/13 12:17:35 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 5.1919e-02 eta: 2 days, 22:41:44 time: 0.2785 data_time: 0.0190 memory: 6334 grad_norm: 2.4469 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4025 loss: 3.4025 2022/08/13 12:18:03 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 5.1989e-02 eta: 2 days, 22:41:17 time: 0.2947 data_time: 0.0180 memory: 6334 grad_norm: 2.4274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3751 loss: 3.3751 2022/08/13 12:18:31 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 5.2059e-02 eta: 2 days, 22:40:45 time: 0.2755 data_time: 0.0164 memory: 6334 grad_norm: 2.5399 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8559 loss: 3.8559 2022/08/13 12:19:00 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 5.2129e-02 eta: 2 days, 22:40:25 time: 0.2888 data_time: 0.0186 memory: 6334 grad_norm: 2.4322 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4673 loss: 3.4673 2022/08/13 12:19:28 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 5.2199e-02 eta: 2 days, 22:39:55 time: 0.2784 data_time: 0.0174 memory: 6334 grad_norm: 2.4696 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6587 loss: 3.6587 2022/08/13 12:19:57 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 5.2268e-02 eta: 2 days, 22:39:25 time: 0.2772 data_time: 0.0166 memory: 6334 grad_norm: 2.5022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5518 loss: 3.5518 2022/08/13 12:20:25 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 5.2338e-02 eta: 2 days, 22:38:54 time: 0.2867 data_time: 0.0176 memory: 6334 grad_norm: 2.5107 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7774 loss: 3.7774 2022/08/13 12:20:53 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 5.2408e-02 eta: 2 days, 22:38:23 time: 0.2776 data_time: 0.0166 memory: 6334 grad_norm: 2.4481 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3006 loss: 3.3006 2022/08/13 12:21:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:21:21 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 5.2478e-02 eta: 2 days, 22:37:55 time: 0.2919 data_time: 0.0178 memory: 6334 grad_norm: 2.4269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5807 loss: 3.5807 2022/08/13 12:21:49 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 5.2547e-02 eta: 2 days, 22:37:22 time: 0.2765 data_time: 0.0166 memory: 6334 grad_norm: 2.5259 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2119 loss: 3.2119 2022/08/13 12:22:17 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 5.2617e-02 eta: 2 days, 22:36:51 time: 0.2795 data_time: 0.0166 memory: 6334 grad_norm: 2.5464 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3888 loss: 3.3888 2022/08/13 12:22:45 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 5.2687e-02 eta: 2 days, 22:36:18 time: 0.2781 data_time: 0.0175 memory: 6334 grad_norm: 2.4612 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2570 loss: 3.2570 2022/08/13 12:23:13 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 5.2757e-02 eta: 2 days, 22:35:49 time: 0.2828 data_time: 0.0177 memory: 6334 grad_norm: 2.5502 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1304 loss: 3.1304 2022/08/13 12:23:41 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 5.2827e-02 eta: 2 days, 22:35:18 time: 0.2781 data_time: 0.0167 memory: 6334 grad_norm: 2.4780 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2581 loss: 3.2581 2022/08/13 12:24:09 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 5.2896e-02 eta: 2 days, 22:34:46 time: 0.2763 data_time: 0.0164 memory: 6334 grad_norm: 2.5532 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5895 loss: 3.5895 2022/08/13 12:24:37 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 5.2966e-02 eta: 2 days, 22:34:15 time: 0.2776 data_time: 0.0158 memory: 6334 grad_norm: 2.4108 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3458 loss: 3.3458 2022/08/13 12:25:05 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 5.3036e-02 eta: 2 days, 22:33:47 time: 0.2786 data_time: 0.0181 memory: 6334 grad_norm: 2.5027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5620 loss: 3.5620 2022/08/13 12:25:34 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 5.3106e-02 eta: 2 days, 22:33:19 time: 0.2890 data_time: 0.0183 memory: 6334 grad_norm: 2.4429 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4376 loss: 3.4376 2022/08/13 12:25:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:26:02 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 5.3175e-02 eta: 2 days, 22:32:51 time: 0.2882 data_time: 0.0166 memory: 6334 grad_norm: 2.5776 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3290 loss: 3.3290 2022/08/13 12:26:30 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 5.3245e-02 eta: 2 days, 22:32:18 time: 0.2774 data_time: 0.0166 memory: 6334 grad_norm: 2.4562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0921 loss: 3.0921 2022/08/13 12:26:58 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 5.3315e-02 eta: 2 days, 22:31:49 time: 0.2784 data_time: 0.0173 memory: 6334 grad_norm: 2.4225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5888 loss: 3.5888 2022/08/13 12:27:26 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 5.3385e-02 eta: 2 days, 22:31:17 time: 0.2773 data_time: 0.0172 memory: 6334 grad_norm: 2.5374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5607 loss: 3.5607 2022/08/13 12:27:55 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 5.3455e-02 eta: 2 days, 22:30:55 time: 0.2864 data_time: 0.0178 memory: 6334 grad_norm: 2.4623 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1559 loss: 3.1559 2022/08/13 12:28:23 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 5.3524e-02 eta: 2 days, 22:30:24 time: 0.2764 data_time: 0.0162 memory: 6334 grad_norm: 2.4597 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3233 loss: 3.3233 2022/08/13 12:28:51 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 5.3594e-02 eta: 2 days, 22:29:59 time: 0.2826 data_time: 0.0192 memory: 6334 grad_norm: 2.5687 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2579 loss: 3.2579 2022/08/13 12:29:19 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 5.3664e-02 eta: 2 days, 22:29:29 time: 0.2758 data_time: 0.0170 memory: 6334 grad_norm: 2.4603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5226 loss: 3.5226 2022/08/13 12:29:47 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 5.3734e-02 eta: 2 days, 22:28:56 time: 0.2777 data_time: 0.0160 memory: 6334 grad_norm: 2.5064 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5303 loss: 3.5303 2022/08/13 12:30:16 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 5.3803e-02 eta: 2 days, 22:28:29 time: 0.2928 data_time: 0.0185 memory: 6334 grad_norm: 2.4448 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3099 loss: 3.3099 2022/08/13 12:30:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:30:44 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 5.3873e-02 eta: 2 days, 22:28:01 time: 0.2913 data_time: 0.0177 memory: 6334 grad_norm: 2.4530 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5326 loss: 3.5326 2022/08/13 12:31:12 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 5.3943e-02 eta: 2 days, 22:27:33 time: 0.2839 data_time: 0.0184 memory: 6334 grad_norm: 2.4203 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5372 loss: 3.5372 2022/08/13 12:31:40 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 5.4013e-02 eta: 2 days, 22:27:02 time: 0.2768 data_time: 0.0158 memory: 6334 grad_norm: 2.4567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5265 loss: 3.5265 2022/08/13 12:32:09 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 5.4083e-02 eta: 2 days, 22:26:35 time: 0.2783 data_time: 0.0171 memory: 6334 grad_norm: 2.4710 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2722 loss: 3.2722 2022/08/13 12:32:37 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 5.4152e-02 eta: 2 days, 22:26:10 time: 0.2754 data_time: 0.0166 memory: 6334 grad_norm: 2.5222 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5448 loss: 3.5448 2022/08/13 12:33:05 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 5.4222e-02 eta: 2 days, 22:25:42 time: 0.2808 data_time: 0.0166 memory: 6334 grad_norm: 2.4221 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5326 loss: 3.5326 2022/08/13 12:33:34 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 5.4292e-02 eta: 2 days, 22:25:19 time: 0.3007 data_time: 0.0186 memory: 6334 grad_norm: 2.5216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0723 loss: 3.0723 2022/08/13 12:34:02 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 5.4362e-02 eta: 2 days, 22:24:50 time: 0.2768 data_time: 0.0164 memory: 6334 grad_norm: 2.4549 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9885 loss: 2.9885 2022/08/13 12:34:30 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 5.4431e-02 eta: 2 days, 22:24:19 time: 0.2771 data_time: 0.0173 memory: 6334 grad_norm: 2.5001 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2810 loss: 3.2810 2022/08/13 12:34:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:34:46 - mmengine - INFO - Epoch(train) [17][3757/3757] lr: 5.4471e-02 eta: 2 days, 22:24:11 time: 0.2629 data_time: 0.0141 memory: 6334 grad_norm: 2.4756 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 3.6815 loss: 3.6815 2022/08/13 12:35:16 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 5.4473e-02 eta: 2 days, 22:22:56 time: 0.2867 data_time: 0.0174 memory: 6334 grad_norm: 2.4865 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4132 loss: 3.4132 2022/08/13 12:35:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:35:44 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 5.4543e-02 eta: 2 days, 22:22:27 time: 0.2777 data_time: 0.0167 memory: 6334 grad_norm: 2.4750 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5055 loss: 3.5055 2022/08/13 12:36:13 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 5.4612e-02 eta: 2 days, 22:21:58 time: 0.2826 data_time: 0.0193 memory: 6334 grad_norm: 2.5129 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2725 loss: 3.2725 2022/08/13 12:36:41 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 5.4682e-02 eta: 2 days, 22:21:30 time: 0.2790 data_time: 0.0170 memory: 6334 grad_norm: 2.4495 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5560 loss: 3.5560 2022/08/13 12:37:09 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 5.4752e-02 eta: 2 days, 22:21:00 time: 0.2770 data_time: 0.0173 memory: 6334 grad_norm: 2.4878 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4836 loss: 3.4836 2022/08/13 12:37:38 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 5.4822e-02 eta: 2 days, 22:20:35 time: 0.2783 data_time: 0.0177 memory: 6334 grad_norm: 2.4627 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6681 loss: 3.6681 2022/08/13 12:38:06 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 5.4891e-02 eta: 2 days, 22:20:11 time: 0.2807 data_time: 0.0162 memory: 6334 grad_norm: 2.5283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2577 loss: 3.2577 2022/08/13 12:38:35 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 5.4961e-02 eta: 2 days, 22:19:52 time: 0.2807 data_time: 0.0180 memory: 6334 grad_norm: 2.4279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3756 loss: 3.3756 2022/08/13 12:39:03 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 5.5031e-02 eta: 2 days, 22:19:20 time: 0.2788 data_time: 0.0176 memory: 6334 grad_norm: 2.4634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3597 loss: 3.3597 2022/08/13 12:39:31 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 5.5100e-02 eta: 2 days, 22:18:51 time: 0.2761 data_time: 0.0169 memory: 6334 grad_norm: 2.4975 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6278 loss: 3.6278 2022/08/13 12:40:00 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 5.5170e-02 eta: 2 days, 22:18:26 time: 0.2797 data_time: 0.0192 memory: 6334 grad_norm: 2.4842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0247 loss: 3.0247 2022/08/13 12:40:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:40:28 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 5.5240e-02 eta: 2 days, 22:17:59 time: 0.2823 data_time: 0.0182 memory: 6334 grad_norm: 2.4320 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3424 loss: 3.3424 2022/08/13 12:40:56 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 5.5309e-02 eta: 2 days, 22:17:33 time: 0.2834 data_time: 0.0185 memory: 6334 grad_norm: 2.6247 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5411 loss: 3.5411 2022/08/13 12:41:25 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 5.5379e-02 eta: 2 days, 22:17:05 time: 0.2793 data_time: 0.0158 memory: 6334 grad_norm: 2.5013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6550 loss: 3.6550 2022/08/13 12:41:53 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 5.5449e-02 eta: 2 days, 22:16:39 time: 0.2884 data_time: 0.0178 memory: 6334 grad_norm: 2.4725 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4599 loss: 3.4599 2022/08/13 12:42:21 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 5.5518e-02 eta: 2 days, 22:16:10 time: 0.2778 data_time: 0.0176 memory: 6334 grad_norm: 2.5056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2501 loss: 3.2501 2022/08/13 12:42:49 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 5.5588e-02 eta: 2 days, 22:15:39 time: 0.2782 data_time: 0.0164 memory: 6334 grad_norm: 2.4208 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3887 loss: 3.3887 2022/08/13 12:43:18 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 5.5658e-02 eta: 2 days, 22:15:12 time: 0.2793 data_time: 0.0180 memory: 6334 grad_norm: 2.4373 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4529 loss: 3.4529 2022/08/13 12:43:46 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 5.5728e-02 eta: 2 days, 22:14:42 time: 0.2823 data_time: 0.0182 memory: 6334 grad_norm: 2.4450 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4507 loss: 3.4507 2022/08/13 12:44:14 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 5.5797e-02 eta: 2 days, 22:14:13 time: 0.2799 data_time: 0.0183 memory: 6334 grad_norm: 2.4737 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3341 loss: 3.3341 2022/08/13 12:44:42 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 5.5867e-02 eta: 2 days, 22:13:43 time: 0.2841 data_time: 0.0170 memory: 6334 grad_norm: 2.4639 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4656 loss: 3.4656 2022/08/13 12:44:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:45:10 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 5.5937e-02 eta: 2 days, 22:13:14 time: 0.2784 data_time: 0.0180 memory: 6334 grad_norm: 2.4280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4231 loss: 3.4231 2022/08/13 12:45:38 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 5.6006e-02 eta: 2 days, 22:12:45 time: 0.2786 data_time: 0.0164 memory: 6334 grad_norm: 2.4860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2111 loss: 3.2111 2022/08/13 12:46:07 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 5.6076e-02 eta: 2 days, 22:12:16 time: 0.2783 data_time: 0.0172 memory: 6334 grad_norm: 2.4338 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3086 loss: 3.3086 2022/08/13 12:46:35 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 5.6146e-02 eta: 2 days, 22:11:44 time: 0.2775 data_time: 0.0166 memory: 6334 grad_norm: 2.5080 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0188 loss: 3.0188 2022/08/13 12:47:03 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 5.6215e-02 eta: 2 days, 22:11:11 time: 0.2773 data_time: 0.0155 memory: 6334 grad_norm: 2.5155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5408 loss: 3.5408 2022/08/13 12:47:30 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 5.6285e-02 eta: 2 days, 22:10:37 time: 0.2764 data_time: 0.0161 memory: 6334 grad_norm: 2.4751 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7175 loss: 3.7175 2022/08/13 12:47:58 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 5.6355e-02 eta: 2 days, 22:10:07 time: 0.2765 data_time: 0.0165 memory: 6334 grad_norm: 2.4492 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3249 loss: 3.3249 2022/08/13 12:48:27 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 5.6424e-02 eta: 2 days, 22:09:39 time: 0.2795 data_time: 0.0176 memory: 6334 grad_norm: 2.4604 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5196 loss: 3.5196 2022/08/13 12:48:55 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 5.6494e-02 eta: 2 days, 22:09:12 time: 0.2838 data_time: 0.0179 memory: 6334 grad_norm: 2.3956 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3528 loss: 3.3528 2022/08/13 12:49:23 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 5.6564e-02 eta: 2 days, 22:08:42 time: 0.2774 data_time: 0.0168 memory: 6334 grad_norm: 2.4879 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3896 loss: 3.3896 2022/08/13 12:49:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:49:51 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 5.6634e-02 eta: 2 days, 22:08:13 time: 0.2794 data_time: 0.0176 memory: 6334 grad_norm: 2.4348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1363 loss: 3.1363 2022/08/13 12:50:20 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 5.6703e-02 eta: 2 days, 22:07:43 time: 0.2777 data_time: 0.0184 memory: 6334 grad_norm: 2.4003 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1955 loss: 3.1955 2022/08/13 12:50:48 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 5.6773e-02 eta: 2 days, 22:07:17 time: 0.2791 data_time: 0.0168 memory: 6334 grad_norm: 2.4094 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4549 loss: 3.4549 2022/08/13 12:51:17 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 5.6843e-02 eta: 2 days, 22:06:54 time: 0.2876 data_time: 0.0181 memory: 6334 grad_norm: 2.5227 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9473 loss: 2.9473 2022/08/13 12:51:46 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 5.6912e-02 eta: 2 days, 22:06:35 time: 0.2799 data_time: 0.0181 memory: 6334 grad_norm: 2.4152 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6108 loss: 3.6108 2022/08/13 12:52:14 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 5.6982e-02 eta: 2 days, 22:06:10 time: 0.2899 data_time: 0.0177 memory: 6334 grad_norm: 2.4077 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2306 loss: 3.2306 2022/08/13 12:52:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:52:29 - mmengine - INFO - Epoch(train) [18][3757/3757] lr: 5.7022e-02 eta: 2 days, 22:05:57 time: 0.2580 data_time: 0.0145 memory: 6334 grad_norm: 2.4869 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.4028 loss: 3.4028 2022/08/13 12:53:00 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 5.7016e-02 eta: 2 days, 22:04:46 time: 0.2759 data_time: 0.0158 memory: 6334 grad_norm: 2.5008 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4077 loss: 3.4077 2022/08/13 12:53:28 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 5.7086e-02 eta: 2 days, 22:04:15 time: 0.2801 data_time: 0.0165 memory: 6334 grad_norm: 2.5167 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3243 loss: 3.3243 2022/08/13 12:53:56 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 5.7155e-02 eta: 2 days, 22:03:49 time: 0.2896 data_time: 0.0186 memory: 6334 grad_norm: 2.5049 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5433 loss: 3.5433 2022/08/13 12:54:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:54:25 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 5.7225e-02 eta: 2 days, 22:03:24 time: 0.2786 data_time: 0.0170 memory: 6334 grad_norm: 2.4856 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1375 loss: 3.1375 2022/08/13 12:54:53 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 5.7294e-02 eta: 2 days, 22:02:53 time: 0.2775 data_time: 0.0159 memory: 6334 grad_norm: 2.3846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8082 loss: 3.8082 2022/08/13 12:55:21 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 5.7364e-02 eta: 2 days, 22:02:22 time: 0.2776 data_time: 0.0177 memory: 6334 grad_norm: 2.5182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2084 loss: 3.2084 2022/08/13 12:55:49 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 5.7434e-02 eta: 2 days, 22:01:54 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.5053 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4189 loss: 3.4189 2022/08/13 12:56:17 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 5.7503e-02 eta: 2 days, 22:01:26 time: 0.2817 data_time: 0.0166 memory: 6334 grad_norm: 2.4620 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5442 loss: 3.5442 2022/08/13 12:56:46 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 5.7573e-02 eta: 2 days, 22:01:00 time: 0.2784 data_time: 0.0162 memory: 6334 grad_norm: 2.4493 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5791 loss: 3.5791 2022/08/13 12:57:14 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 5.7642e-02 eta: 2 days, 22:00:30 time: 0.2797 data_time: 0.0182 memory: 6334 grad_norm: 2.4917 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0687 loss: 3.0687 2022/08/13 12:57:42 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 5.7712e-02 eta: 2 days, 22:00:01 time: 0.2774 data_time: 0.0166 memory: 6334 grad_norm: 2.4996 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3115 loss: 3.3115 2022/08/13 12:58:10 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 5.7782e-02 eta: 2 days, 21:59:30 time: 0.2783 data_time: 0.0171 memory: 6334 grad_norm: 2.3990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4278 loss: 3.4278 2022/08/13 12:58:38 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 5.7851e-02 eta: 2 days, 21:59:00 time: 0.2821 data_time: 0.0176 memory: 6334 grad_norm: 2.4262 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2057 loss: 3.2057 2022/08/13 12:58:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 12:59:06 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 5.7921e-02 eta: 2 days, 21:58:31 time: 0.2815 data_time: 0.0181 memory: 6334 grad_norm: 2.3796 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2846 loss: 3.2846 2022/08/13 12:59:35 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 5.7990e-02 eta: 2 days, 21:58:02 time: 0.2834 data_time: 0.0176 memory: 6334 grad_norm: 2.4721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2673 loss: 3.2673 2022/08/13 13:00:03 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 5.8060e-02 eta: 2 days, 21:57:31 time: 0.2791 data_time: 0.0179 memory: 6334 grad_norm: 2.4162 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4374 loss: 3.4374 2022/08/13 13:00:31 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 5.8130e-02 eta: 2 days, 21:57:01 time: 0.2771 data_time: 0.0173 memory: 6334 grad_norm: 2.5058 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5609 loss: 3.5609 2022/08/13 13:00:59 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 5.8199e-02 eta: 2 days, 21:56:30 time: 0.2784 data_time: 0.0169 memory: 6334 grad_norm: 2.4698 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4835 loss: 3.4835 2022/08/13 13:01:27 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 5.8269e-02 eta: 2 days, 21:56:02 time: 0.2877 data_time: 0.0163 memory: 6334 grad_norm: 2.4559 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3266 loss: 3.3266 2022/08/13 13:01:55 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 5.8338e-02 eta: 2 days, 21:55:32 time: 0.2786 data_time: 0.0168 memory: 6334 grad_norm: 2.4375 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3786 loss: 3.3786 2022/08/13 13:02:23 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 5.8408e-02 eta: 2 days, 21:55:02 time: 0.2779 data_time: 0.0167 memory: 6334 grad_norm: 2.4233 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4902 loss: 3.4902 2022/08/13 13:02:51 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 5.8478e-02 eta: 2 days, 21:54:34 time: 0.2791 data_time: 0.0165 memory: 6334 grad_norm: 2.3921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5047 loss: 3.5047 2022/08/13 13:03:20 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 5.8547e-02 eta: 2 days, 21:54:07 time: 0.2821 data_time: 0.0186 memory: 6334 grad_norm: 2.4648 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1963 loss: 3.1963 2022/08/13 13:03:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:03:48 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 5.8617e-02 eta: 2 days, 21:53:41 time: 0.2855 data_time: 0.0195 memory: 6334 grad_norm: 2.5656 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3369 loss: 3.3369 2022/08/13 13:04:16 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 5.8686e-02 eta: 2 days, 21:53:13 time: 0.2782 data_time: 0.0166 memory: 6334 grad_norm: 2.4822 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0822 loss: 3.0822 2022/08/13 13:04:45 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 5.8756e-02 eta: 2 days, 21:52:48 time: 0.2860 data_time: 0.0162 memory: 6334 grad_norm: 2.4451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5986 loss: 3.5986 2022/08/13 13:05:13 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 5.8826e-02 eta: 2 days, 21:52:17 time: 0.2781 data_time: 0.0175 memory: 6334 grad_norm: 2.4442 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3239 loss: 3.3239 2022/08/13 13:05:41 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 5.8895e-02 eta: 2 days, 21:51:47 time: 0.2789 data_time: 0.0173 memory: 6334 grad_norm: 2.5076 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7237 loss: 3.7237 2022/08/13 13:06:10 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 5.8965e-02 eta: 2 days, 21:51:23 time: 0.2877 data_time: 0.0189 memory: 6334 grad_norm: 2.4106 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4153 loss: 3.4153 2022/08/13 13:06:38 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 5.9034e-02 eta: 2 days, 21:50:56 time: 0.2845 data_time: 0.0167 memory: 6334 grad_norm: 2.4571 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3094 loss: 3.3094 2022/08/13 13:07:06 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 5.9104e-02 eta: 2 days, 21:50:29 time: 0.2822 data_time: 0.0179 memory: 6334 grad_norm: 2.4500 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6015 loss: 3.6015 2022/08/13 13:07:34 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 5.9174e-02 eta: 2 days, 21:49:59 time: 0.2760 data_time: 0.0176 memory: 6334 grad_norm: 2.4357 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1903 loss: 3.1903 2022/08/13 13:08:03 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 5.9243e-02 eta: 2 days, 21:49:30 time: 0.2771 data_time: 0.0161 memory: 6334 grad_norm: 2.4042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4917 loss: 3.4917 2022/08/13 13:08:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:08:31 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 5.9313e-02 eta: 2 days, 21:49:01 time: 0.2767 data_time: 0.0168 memory: 6334 grad_norm: 2.4422 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3687 loss: 3.3687 2022/08/13 13:08:59 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 5.9382e-02 eta: 2 days, 21:48:32 time: 0.2845 data_time: 0.0176 memory: 6334 grad_norm: 2.4178 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2029 loss: 3.2029 2022/08/13 13:09:27 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 5.9452e-02 eta: 2 days, 21:48:02 time: 0.2773 data_time: 0.0179 memory: 6334 grad_norm: 2.4127 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4595 loss: 3.4595 2022/08/13 13:09:55 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 5.9522e-02 eta: 2 days, 21:47:34 time: 0.2935 data_time: 0.0188 memory: 6334 grad_norm: 2.5025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3127 loss: 3.3127 2022/08/13 13:10:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:10:11 - mmengine - INFO - Epoch(train) [19][3757/3757] lr: 5.9561e-02 eta: 2 days, 21:47:21 time: 0.2584 data_time: 0.0145 memory: 6334 grad_norm: 2.5165 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.5429 loss: 3.5429 2022/08/13 13:10:41 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 5.9548e-02 eta: 2 days, 21:46:12 time: 0.2833 data_time: 0.0180 memory: 6334 grad_norm: 2.3581 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4014 loss: 3.4014 2022/08/13 13:11:09 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 5.9617e-02 eta: 2 days, 21:45:44 time: 0.2862 data_time: 0.0187 memory: 6334 grad_norm: 2.4086 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4562 loss: 3.4562 2022/08/13 13:11:38 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 5.9687e-02 eta: 2 days, 21:45:15 time: 0.2824 data_time: 0.0165 memory: 6334 grad_norm: 2.4253 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3883 loss: 3.3883 2022/08/13 13:12:06 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 5.9756e-02 eta: 2 days, 21:44:49 time: 0.2881 data_time: 0.0176 memory: 6334 grad_norm: 2.4256 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4051 loss: 3.4051 2022/08/13 13:12:34 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 5.9826e-02 eta: 2 days, 21:44:19 time: 0.2772 data_time: 0.0165 memory: 6334 grad_norm: 2.4424 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0223 loss: 3.0223 2022/08/13 13:13:02 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 5.9895e-02 eta: 2 days, 21:43:52 time: 0.2763 data_time: 0.0166 memory: 6334 grad_norm: 2.4839 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5848 loss: 3.5848 2022/08/13 13:13:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:13:32 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 5.9965e-02 eta: 2 days, 21:43:36 time: 0.2740 data_time: 0.0166 memory: 6334 grad_norm: 2.4923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4290 loss: 3.4290 2022/08/13 13:14:00 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 6.0034e-02 eta: 2 days, 21:43:05 time: 0.2793 data_time: 0.0180 memory: 6334 grad_norm: 2.4673 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.5455 loss: 3.5455 2022/08/13 13:14:28 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 6.0104e-02 eta: 2 days, 21:42:39 time: 0.2907 data_time: 0.0185 memory: 6334 grad_norm: 2.4543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1539 loss: 3.1539 2022/08/13 13:14:56 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 6.0173e-02 eta: 2 days, 21:42:09 time: 0.2784 data_time: 0.0156 memory: 6334 grad_norm: 2.3941 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3702 loss: 3.3702 2022/08/13 13:15:25 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 6.0243e-02 eta: 2 days, 21:41:46 time: 0.2783 data_time: 0.0155 memory: 6334 grad_norm: 2.4510 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3346 loss: 3.3346 2022/08/13 13:15:53 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 6.0312e-02 eta: 2 days, 21:41:18 time: 0.2806 data_time: 0.0173 memory: 6334 grad_norm: 2.4377 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3050 loss: 3.3050 2022/08/13 13:16:21 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 6.0382e-02 eta: 2 days, 21:40:51 time: 0.2775 data_time: 0.0164 memory: 6334 grad_norm: 2.4426 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3956 loss: 3.3956 2022/08/13 13:16:51 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 6.0451e-02 eta: 2 days, 21:40:34 time: 0.3142 data_time: 0.0162 memory: 6334 grad_norm: 2.4195 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5468 loss: 3.5468 2022/08/13 13:17:19 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 6.0521e-02 eta: 2 days, 21:40:04 time: 0.2814 data_time: 0.0165 memory: 6334 grad_norm: 2.4416 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.1629 loss: 3.1629 2022/08/13 13:17:47 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 6.0590e-02 eta: 2 days, 21:39:37 time: 0.2877 data_time: 0.0172 memory: 6334 grad_norm: 2.4645 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6622 loss: 3.6622 2022/08/13 13:17:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:18:15 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 6.0660e-02 eta: 2 days, 21:39:09 time: 0.2785 data_time: 0.0163 memory: 6334 grad_norm: 2.4090 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7704 loss: 3.7704 2022/08/13 13:18:43 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 6.0729e-02 eta: 2 days, 21:38:38 time: 0.2785 data_time: 0.0170 memory: 6334 grad_norm: 2.4982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4702 loss: 3.4702 2022/08/13 13:19:12 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 6.0799e-02 eta: 2 days, 21:38:11 time: 0.2758 data_time: 0.0164 memory: 6334 grad_norm: 2.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0968 loss: 3.0968 2022/08/13 13:19:40 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 6.0868e-02 eta: 2 days, 21:37:40 time: 0.2763 data_time: 0.0171 memory: 6334 grad_norm: 2.4014 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3590 loss: 3.3590 2022/08/13 13:20:08 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 6.0938e-02 eta: 2 days, 21:37:13 time: 0.2929 data_time: 0.0186 memory: 6334 grad_norm: 2.4697 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3114 loss: 3.3114 2022/08/13 13:20:36 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 6.1007e-02 eta: 2 days, 21:36:45 time: 0.2772 data_time: 0.0157 memory: 6334 grad_norm: 2.4200 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4217 loss: 3.4217 2022/08/13 13:21:04 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 6.1077e-02 eta: 2 days, 21:36:13 time: 0.2774 data_time: 0.0168 memory: 6334 grad_norm: 2.4603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3829 loss: 3.3829 2022/08/13 13:21:32 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 6.1146e-02 eta: 2 days, 21:35:42 time: 0.2771 data_time: 0.0173 memory: 6334 grad_norm: 2.3943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3966 loss: 3.3966 2022/08/13 13:22:01 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 6.1216e-02 eta: 2 days, 21:35:15 time: 0.2848 data_time: 0.0162 memory: 6334 grad_norm: 2.4420 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3215 loss: 3.3215 2022/08/13 13:22:29 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 6.1285e-02 eta: 2 days, 21:34:45 time: 0.2792 data_time: 0.0175 memory: 6334 grad_norm: 2.4791 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3633 loss: 3.3633 2022/08/13 13:22:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:22:57 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 6.1355e-02 eta: 2 days, 21:34:16 time: 0.2813 data_time: 0.0185 memory: 6334 grad_norm: 2.4177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3722 loss: 3.3722 2022/08/13 13:23:25 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 6.1424e-02 eta: 2 days, 21:33:45 time: 0.2788 data_time: 0.0162 memory: 6334 grad_norm: 2.3621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2111 loss: 3.2111 2022/08/13 13:23:53 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 6.1494e-02 eta: 2 days, 21:33:17 time: 0.2769 data_time: 0.0167 memory: 6334 grad_norm: 2.4306 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.0876 loss: 3.0876 2022/08/13 13:24:21 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 6.1563e-02 eta: 2 days, 21:32:47 time: 0.2808 data_time: 0.0167 memory: 6334 grad_norm: 2.4745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3263 loss: 3.3263 2022/08/13 13:24:49 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 6.1633e-02 eta: 2 days, 21:32:18 time: 0.2837 data_time: 0.0180 memory: 6334 grad_norm: 2.4240 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2442 loss: 3.2442 2022/08/13 13:25:18 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 6.1702e-02 eta: 2 days, 21:31:48 time: 0.2774 data_time: 0.0164 memory: 6334 grad_norm: 2.4238 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7242 loss: 3.7242 2022/08/13 13:25:46 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 6.1772e-02 eta: 2 days, 21:31:18 time: 0.2776 data_time: 0.0167 memory: 6334 grad_norm: 2.3769 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2232 loss: 3.2232 2022/08/13 13:26:14 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 6.1841e-02 eta: 2 days, 21:30:49 time: 0.2761 data_time: 0.0163 memory: 6334 grad_norm: 2.4500 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2904 loss: 3.2904 2022/08/13 13:26:42 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 6.1911e-02 eta: 2 days, 21:30:19 time: 0.2775 data_time: 0.0172 memory: 6334 grad_norm: 2.4559 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1876 loss: 3.1876 2022/08/13 13:27:10 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 6.1980e-02 eta: 2 days, 21:29:51 time: 0.2803 data_time: 0.0173 memory: 6334 grad_norm: 2.4703 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4530 loss: 3.4530 2022/08/13 13:27:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:27:38 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 6.2050e-02 eta: 2 days, 21:29:19 time: 0.2804 data_time: 0.0171 memory: 6334 grad_norm: 2.4220 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3817 loss: 3.3817 2022/08/13 13:27:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:27:54 - mmengine - INFO - Epoch(train) [20][3757/3757] lr: 6.2089e-02 eta: 2 days, 21:29:06 time: 0.2587 data_time: 0.0145 memory: 6334 grad_norm: 2.5178 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.5808 loss: 3.5808 2022/08/13 13:27:54 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/13 13:28:19 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:39 time: 0.1899 data_time: 0.0938 memory: 1152 2022/08/13 13:28:41 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:21 time: 0.1956 data_time: 0.0994 memory: 1152 2022/08/13 13:29:00 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:01 time: 0.1542 data_time: 0.0686 memory: 1152 2022/08/13 13:29:03 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.3176 acc/top5: 0.5906 acc/mean1: 0.3176 2022/08/13 13:29:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/13 13:29:05 - mmengine - INFO - The best checkpoint with 0.3176 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/13 13:29:34 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 6.2067e-02 eta: 2 days, 21:27:50 time: 0.2782 data_time: 0.0166 memory: 6334 grad_norm: 2.3975 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1760 loss: 3.1760 2022/08/13 13:30:02 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 6.2137e-02 eta: 2 days, 21:27:18 time: 0.2774 data_time: 0.0175 memory: 6334 grad_norm: 2.4420 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1619 loss: 3.1619 2022/08/13 13:30:30 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 6.2206e-02 eta: 2 days, 21:26:50 time: 0.2809 data_time: 0.0186 memory: 6334 grad_norm: 2.3763 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0686 loss: 3.0686 2022/08/13 13:30:59 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 6.2275e-02 eta: 2 days, 21:26:21 time: 0.2825 data_time: 0.0163 memory: 6334 grad_norm: 2.3994 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2948 loss: 3.2948 2022/08/13 13:31:27 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 6.2345e-02 eta: 2 days, 21:25:50 time: 0.2787 data_time: 0.0180 memory: 6334 grad_norm: 2.3865 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4938 loss: 3.4938 2022/08/13 13:31:55 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 6.2414e-02 eta: 2 days, 21:25:19 time: 0.2802 data_time: 0.0177 memory: 6334 grad_norm: 2.3930 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3229 loss: 3.3229 2022/08/13 13:32:23 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 6.2484e-02 eta: 2 days, 21:24:53 time: 0.2790 data_time: 0.0160 memory: 6334 grad_norm: 2.4922 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1890 loss: 3.1890 2022/08/13 13:32:51 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 6.2553e-02 eta: 2 days, 21:24:23 time: 0.2804 data_time: 0.0181 memory: 6334 grad_norm: 2.4458 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6130 loss: 3.6130 2022/08/13 13:33:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:33:20 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 6.2622e-02 eta: 2 days, 21:23:56 time: 0.2882 data_time: 0.0165 memory: 6334 grad_norm: 2.3560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0782 loss: 3.0782 2022/08/13 13:33:48 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 6.2692e-02 eta: 2 days, 21:23:27 time: 0.2781 data_time: 0.0163 memory: 6334 grad_norm: 2.3689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1250 loss: 3.1250 2022/08/13 13:34:16 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 6.2761e-02 eta: 2 days, 21:22:57 time: 0.2773 data_time: 0.0175 memory: 6334 grad_norm: 2.4118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5262 loss: 3.5262 2022/08/13 13:34:44 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 6.2831e-02 eta: 2 days, 21:22:29 time: 0.2776 data_time: 0.0170 memory: 6334 grad_norm: 2.4788 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1031 loss: 3.1031 2022/08/13 13:35:12 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 6.2900e-02 eta: 2 days, 21:22:02 time: 0.2858 data_time: 0.0183 memory: 6334 grad_norm: 2.4062 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0895 loss: 3.0895 2022/08/13 13:35:41 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 6.2969e-02 eta: 2 days, 21:21:36 time: 0.2815 data_time: 0.0173 memory: 6334 grad_norm: 2.3828 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3235 loss: 3.3235 2022/08/13 13:36:09 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 6.3039e-02 eta: 2 days, 21:21:08 time: 0.2840 data_time: 0.0177 memory: 6334 grad_norm: 2.4681 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5270 loss: 3.5270 2022/08/13 13:36:37 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 6.3108e-02 eta: 2 days, 21:20:37 time: 0.2770 data_time: 0.0156 memory: 6334 grad_norm: 2.3909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3266 loss: 3.3266 2022/08/13 13:37:06 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 6.3178e-02 eta: 2 days, 21:20:17 time: 0.2784 data_time: 0.0160 memory: 6334 grad_norm: 2.4468 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1083 loss: 3.1083 2022/08/13 13:37:34 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 6.3247e-02 eta: 2 days, 21:19:46 time: 0.2772 data_time: 0.0160 memory: 6334 grad_norm: 2.3849 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.5215 loss: 3.5215 2022/08/13 13:37:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:38:02 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 6.3316e-02 eta: 2 days, 21:19:19 time: 0.2841 data_time: 0.0174 memory: 6334 grad_norm: 2.4424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0310 loss: 3.0310 2022/08/13 13:38:31 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 6.3386e-02 eta: 2 days, 21:18:52 time: 0.2784 data_time: 0.0172 memory: 6334 grad_norm: 2.4645 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3417 loss: 3.3417 2022/08/13 13:38:59 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 6.3455e-02 eta: 2 days, 21:18:24 time: 0.2859 data_time: 0.0189 memory: 6334 grad_norm: 2.4461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2499 loss: 3.2499 2022/08/13 13:39:27 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 6.3525e-02 eta: 2 days, 21:17:54 time: 0.2781 data_time: 0.0154 memory: 6334 grad_norm: 2.4048 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5808 loss: 3.5808 2022/08/13 13:39:55 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 6.3594e-02 eta: 2 days, 21:17:24 time: 0.2784 data_time: 0.0170 memory: 6334 grad_norm: 2.3520 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3342 loss: 3.3342 2022/08/13 13:40:23 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 6.3663e-02 eta: 2 days, 21:16:56 time: 0.2827 data_time: 0.0178 memory: 6334 grad_norm: 2.3587 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6794 loss: 3.6794 2022/08/13 13:40:52 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 6.3733e-02 eta: 2 days, 21:16:27 time: 0.2803 data_time: 0.0168 memory: 6334 grad_norm: 2.5094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4449 loss: 3.4449 2022/08/13 13:41:20 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 6.3802e-02 eta: 2 days, 21:16:05 time: 0.2892 data_time: 0.0163 memory: 6334 grad_norm: 2.5010 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4905 loss: 3.4905 2022/08/13 13:41:48 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 6.3872e-02 eta: 2 days, 21:15:36 time: 0.2777 data_time: 0.0160 memory: 6334 grad_norm: 2.3951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2310 loss: 3.2310 2022/08/13 13:42:16 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 6.3941e-02 eta: 2 days, 21:15:05 time: 0.2782 data_time: 0.0165 memory: 6334 grad_norm: 2.4479 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1649 loss: 3.1649 2022/08/13 13:42:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:42:45 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 6.4010e-02 eta: 2 days, 21:14:44 time: 0.2780 data_time: 0.0178 memory: 6334 grad_norm: 2.4542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9464 loss: 2.9464 2022/08/13 13:43:14 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 6.4080e-02 eta: 2 days, 21:14:18 time: 0.2858 data_time: 0.0186 memory: 6334 grad_norm: 2.3459 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3792 loss: 3.3792 2022/08/13 13:43:42 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 6.4149e-02 eta: 2 days, 21:13:53 time: 0.2830 data_time: 0.0176 memory: 6334 grad_norm: 2.4288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2518 loss: 3.2518 2022/08/13 13:44:11 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 6.4219e-02 eta: 2 days, 21:13:30 time: 0.2872 data_time: 0.0159 memory: 6334 grad_norm: 2.3767 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3604 loss: 3.3604 2022/08/13 13:44:39 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 6.4288e-02 eta: 2 days, 21:13:04 time: 0.2912 data_time: 0.0168 memory: 6334 grad_norm: 2.4005 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7385 loss: 3.7385 2022/08/13 13:45:07 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 6.4357e-02 eta: 2 days, 21:12:33 time: 0.2766 data_time: 0.0157 memory: 6334 grad_norm: 2.4377 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2736 loss: 3.2736 2022/08/13 13:45:36 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 6.4427e-02 eta: 2 days, 21:12:10 time: 0.2779 data_time: 0.0188 memory: 6334 grad_norm: 2.3857 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4675 loss: 3.4675 2022/08/13 13:46:05 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 6.4496e-02 eta: 2 days, 21:11:45 time: 0.2774 data_time: 0.0167 memory: 6334 grad_norm: 2.4016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0794 loss: 3.0794 2022/08/13 13:46:33 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 6.4566e-02 eta: 2 days, 21:11:16 time: 0.2786 data_time: 0.0171 memory: 6334 grad_norm: 2.4166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7031 loss: 3.7031 2022/08/13 13:46:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:46:49 - mmengine - INFO - Epoch(train) [21][3757/3757] lr: 6.4605e-02 eta: 2 days, 21:11:07 time: 0.2575 data_time: 0.0162 memory: 6334 grad_norm: 2.3277 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.2638 loss: 3.2638 2022/08/13 13:47:19 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 6.4574e-02 eta: 2 days, 21:10:02 time: 0.2937 data_time: 0.0185 memory: 6334 grad_norm: 2.4247 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4732 loss: 3.4732 2022/08/13 13:47:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:47:47 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 6.4644e-02 eta: 2 days, 21:09:32 time: 0.2773 data_time: 0.0163 memory: 6334 grad_norm: 2.3963 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0939 loss: 3.0939 2022/08/13 13:48:15 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 6.4713e-02 eta: 2 days, 21:09:04 time: 0.2754 data_time: 0.0163 memory: 6334 grad_norm: 2.3705 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3190 loss: 3.3190 2022/08/13 13:48:43 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 6.4782e-02 eta: 2 days, 21:08:35 time: 0.2803 data_time: 0.0167 memory: 6334 grad_norm: 2.4014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4334 loss: 3.4334 2022/08/13 13:49:12 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 6.4851e-02 eta: 2 days, 21:08:07 time: 0.2830 data_time: 0.0189 memory: 6334 grad_norm: 2.4129 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2232 loss: 3.2232 2022/08/13 13:49:40 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 6.4921e-02 eta: 2 days, 21:07:39 time: 0.2833 data_time: 0.0175 memory: 6334 grad_norm: 2.4639 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3468 loss: 3.3468 2022/08/13 13:50:08 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 6.4990e-02 eta: 2 days, 21:07:09 time: 0.2802 data_time: 0.0171 memory: 6334 grad_norm: 2.3484 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1431 loss: 3.1431 2022/08/13 13:50:36 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 6.5059e-02 eta: 2 days, 21:06:43 time: 0.2779 data_time: 0.0172 memory: 6334 grad_norm: 2.4864 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4238 loss: 3.4238 2022/08/13 13:51:05 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 6.5129e-02 eta: 2 days, 21:06:13 time: 0.2764 data_time: 0.0160 memory: 6334 grad_norm: 2.4088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2824 loss: 3.2824 2022/08/13 13:51:33 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 6.5198e-02 eta: 2 days, 21:05:47 time: 0.2860 data_time: 0.0173 memory: 6334 grad_norm: 2.3799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5058 loss: 3.5058 2022/08/13 13:52:01 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 6.5267e-02 eta: 2 days, 21:05:17 time: 0.2839 data_time: 0.0168 memory: 6334 grad_norm: 2.5040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1323 loss: 3.1323 2022/08/13 13:52:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:52:29 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 6.5337e-02 eta: 2 days, 21:04:50 time: 0.2863 data_time: 0.0179 memory: 6334 grad_norm: 2.3775 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1500 loss: 3.1500 2022/08/13 13:52:58 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 6.5406e-02 eta: 2 days, 21:04:22 time: 0.2789 data_time: 0.0169 memory: 6334 grad_norm: 2.3514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3893 loss: 3.3893 2022/08/13 13:53:26 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 6.5475e-02 eta: 2 days, 21:03:55 time: 0.2864 data_time: 0.0185 memory: 6334 grad_norm: 2.4110 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.3985 loss: 3.3985 2022/08/13 13:53:54 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 6.5544e-02 eta: 2 days, 21:03:24 time: 0.2790 data_time: 0.0153 memory: 6334 grad_norm: 2.4376 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1679 loss: 3.1679 2022/08/13 13:54:22 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 6.5614e-02 eta: 2 days, 21:02:55 time: 0.2867 data_time: 0.0174 memory: 6334 grad_norm: 2.3659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0129 loss: 3.0129 2022/08/13 13:54:50 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 6.5683e-02 eta: 2 days, 21:02:27 time: 0.2803 data_time: 0.0161 memory: 6334 grad_norm: 2.4210 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5046 loss: 3.5046 2022/08/13 13:55:19 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 6.5752e-02 eta: 2 days, 21:01:58 time: 0.2767 data_time: 0.0164 memory: 6334 grad_norm: 2.4163 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2534 loss: 3.2534 2022/08/13 13:55:47 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 6.5822e-02 eta: 2 days, 21:01:30 time: 0.2788 data_time: 0.0177 memory: 6334 grad_norm: 2.4781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2417 loss: 3.2417 2022/08/13 13:56:15 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 6.5891e-02 eta: 2 days, 21:01:01 time: 0.2763 data_time: 0.0158 memory: 6334 grad_norm: 2.3814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0287 loss: 3.0287 2022/08/13 13:56:43 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 6.5960e-02 eta: 2 days, 21:00:33 time: 0.2881 data_time: 0.0169 memory: 6334 grad_norm: 2.4472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6262 loss: 3.6262 2022/08/13 13:56:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 13:57:12 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 6.6029e-02 eta: 2 days, 21:00:05 time: 0.2780 data_time: 0.0192 memory: 6334 grad_norm: 2.3340 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3560 loss: 3.3560 2022/08/13 13:57:40 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 6.6099e-02 eta: 2 days, 20:59:38 time: 0.2980 data_time: 0.0187 memory: 6334 grad_norm: 2.4087 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2735 loss: 3.2735 2022/08/13 13:58:08 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 6.6168e-02 eta: 2 days, 20:59:09 time: 0.2788 data_time: 0.0182 memory: 6334 grad_norm: 2.4692 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4925 loss: 3.4925 2022/08/13 13:58:36 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 6.6237e-02 eta: 2 days, 20:58:39 time: 0.2765 data_time: 0.0163 memory: 6334 grad_norm: 2.4033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5025 loss: 3.5025 2022/08/13 13:59:04 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 6.6307e-02 eta: 2 days, 20:58:09 time: 0.2775 data_time: 0.0165 memory: 6334 grad_norm: 2.4726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2998 loss: 3.2998 2022/08/13 13:59:32 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 6.6376e-02 eta: 2 days, 20:57:41 time: 0.2876 data_time: 0.0183 memory: 6334 grad_norm: 2.4027 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2307 loss: 3.2307 2022/08/13 14:00:01 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 6.6445e-02 eta: 2 days, 20:57:12 time: 0.2750 data_time: 0.0157 memory: 6334 grad_norm: 2.3818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2230 loss: 3.2230 2022/08/13 14:00:29 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 6.6515e-02 eta: 2 days, 20:56:44 time: 0.2770 data_time: 0.0161 memory: 6334 grad_norm: 2.3376 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6361 loss: 3.6361 2022/08/13 14:00:57 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 6.6584e-02 eta: 2 days, 20:56:19 time: 0.2756 data_time: 0.0161 memory: 6334 grad_norm: 2.3193 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4921 loss: 3.4921 2022/08/13 14:01:26 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 6.6653e-02 eta: 2 days, 20:55:50 time: 0.2780 data_time: 0.0168 memory: 6334 grad_norm: 2.3879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2864 loss: 3.2864 2022/08/13 14:01:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:01:54 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 6.6722e-02 eta: 2 days, 20:55:20 time: 0.2838 data_time: 0.0175 memory: 6334 grad_norm: 2.3989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2976 loss: 3.2976 2022/08/13 14:02:22 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 6.6792e-02 eta: 2 days, 20:54:51 time: 0.2862 data_time: 0.0177 memory: 6334 grad_norm: 2.3674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3615 loss: 3.3615 2022/08/13 14:02:50 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 6.6861e-02 eta: 2 days, 20:54:22 time: 0.2775 data_time: 0.0170 memory: 6334 grad_norm: 2.3905 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2061 loss: 3.2061 2022/08/13 14:03:18 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 6.6930e-02 eta: 2 days, 20:53:53 time: 0.2790 data_time: 0.0171 memory: 6334 grad_norm: 2.3822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0553 loss: 3.0553 2022/08/13 14:03:46 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 6.7000e-02 eta: 2 days, 20:53:24 time: 0.2772 data_time: 0.0164 memory: 6334 grad_norm: 2.3299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4851 loss: 3.4851 2022/08/13 14:04:15 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 6.7069e-02 eta: 2 days, 20:52:55 time: 0.2760 data_time: 0.0163 memory: 6334 grad_norm: 2.4127 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2964 loss: 3.2964 2022/08/13 14:04:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:04:30 - mmengine - INFO - Epoch(train) [22][3757/3757] lr: 6.7108e-02 eta: 2 days, 20:52:45 time: 0.2610 data_time: 0.0153 memory: 6334 grad_norm: 2.4683 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 3.4003 loss: 3.4003 2022/08/13 14:05:01 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 6.7068e-02 eta: 2 days, 20:51:42 time: 0.2834 data_time: 0.0172 memory: 6334 grad_norm: 2.4255 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4108 loss: 3.4108 2022/08/13 14:05:29 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 6.7138e-02 eta: 2 days, 20:51:12 time: 0.2763 data_time: 0.0166 memory: 6334 grad_norm: 2.4604 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5480 loss: 3.5480 2022/08/13 14:05:57 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 6.7207e-02 eta: 2 days, 20:50:44 time: 0.2775 data_time: 0.0167 memory: 6334 grad_norm: 2.3704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9698 loss: 2.9698 2022/08/13 14:06:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:06:25 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 6.7276e-02 eta: 2 days, 20:50:17 time: 0.2830 data_time: 0.0210 memory: 6334 grad_norm: 2.4849 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4229 loss: 3.4229 2022/08/13 14:06:54 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 6.7345e-02 eta: 2 days, 20:49:49 time: 0.2803 data_time: 0.0170 memory: 6334 grad_norm: 2.4582 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2318 loss: 3.2318 2022/08/13 14:07:22 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 6.7414e-02 eta: 2 days, 20:49:24 time: 0.2938 data_time: 0.0195 memory: 6334 grad_norm: 2.4242 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5316 loss: 3.5316 2022/08/13 14:07:50 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 6.7483e-02 eta: 2 days, 20:48:56 time: 0.2815 data_time: 0.0174 memory: 6334 grad_norm: 2.3868 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1081 loss: 3.1081 2022/08/13 14:08:19 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 6.7553e-02 eta: 2 days, 20:48:28 time: 0.2803 data_time: 0.0167 memory: 6334 grad_norm: 2.4735 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3904 loss: 3.3904 2022/08/13 14:08:47 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 6.7622e-02 eta: 2 days, 20:48:06 time: 0.2771 data_time: 0.0161 memory: 6334 grad_norm: 2.4408 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1888 loss: 3.1888 2022/08/13 14:09:16 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 6.7691e-02 eta: 2 days, 20:47:39 time: 0.2792 data_time: 0.0173 memory: 6334 grad_norm: 2.3933 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3573 loss: 3.3573 2022/08/13 14:09:44 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 6.7760e-02 eta: 2 days, 20:47:11 time: 0.2851 data_time: 0.0169 memory: 6334 grad_norm: 2.4443 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2954 loss: 3.2954 2022/08/13 14:10:12 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 6.7829e-02 eta: 2 days, 20:46:44 time: 0.2802 data_time: 0.0176 memory: 6334 grad_norm: 2.3353 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1896 loss: 3.1896 2022/08/13 14:10:41 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 6.7899e-02 eta: 2 days, 20:46:15 time: 0.2850 data_time: 0.0169 memory: 6334 grad_norm: 2.3929 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3292 loss: 3.3292 2022/08/13 14:10:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:11:09 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 6.7968e-02 eta: 2 days, 20:45:47 time: 0.2795 data_time: 0.0165 memory: 6334 grad_norm: 2.3237 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9492 loss: 2.9492 2022/08/13 14:11:37 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 6.8037e-02 eta: 2 days, 20:45:18 time: 0.2807 data_time: 0.0182 memory: 6334 grad_norm: 2.4298 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1736 loss: 3.1736 2022/08/13 14:12:05 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 6.8106e-02 eta: 2 days, 20:44:50 time: 0.2834 data_time: 0.0172 memory: 6334 grad_norm: 2.3847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2775 loss: 3.2775 2022/08/13 14:12:34 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 6.8175e-02 eta: 2 days, 20:44:22 time: 0.2785 data_time: 0.0182 memory: 6334 grad_norm: 2.4350 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5512 loss: 3.5512 2022/08/13 14:13:02 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 6.8244e-02 eta: 2 days, 20:43:57 time: 0.2952 data_time: 0.0196 memory: 6334 grad_norm: 2.4966 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1466 loss: 3.1466 2022/08/13 14:13:30 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 6.8314e-02 eta: 2 days, 20:43:29 time: 0.2800 data_time: 0.0169 memory: 6334 grad_norm: 2.3704 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1272 loss: 3.1272 2022/08/13 14:13:58 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 6.8383e-02 eta: 2 days, 20:42:59 time: 0.2766 data_time: 0.0168 memory: 6334 grad_norm: 2.3705 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2625 loss: 3.2625 2022/08/13 14:14:27 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 6.8452e-02 eta: 2 days, 20:42:33 time: 0.2793 data_time: 0.0177 memory: 6334 grad_norm: 2.4031 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4373 loss: 3.4373 2022/08/13 14:14:55 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 6.8521e-02 eta: 2 days, 20:42:03 time: 0.2785 data_time: 0.0166 memory: 6334 grad_norm: 2.4764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4718 loss: 3.4718 2022/08/13 14:15:23 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 6.8590e-02 eta: 2 days, 20:41:36 time: 0.2853 data_time: 0.0190 memory: 6334 grad_norm: 2.3867 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3855 loss: 3.3855 2022/08/13 14:15:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:15:51 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 6.8660e-02 eta: 2 days, 20:41:07 time: 0.2775 data_time: 0.0165 memory: 6334 grad_norm: 2.3472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3830 loss: 3.3830 2022/08/13 14:16:20 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 6.8729e-02 eta: 2 days, 20:40:38 time: 0.2812 data_time: 0.0164 memory: 6334 grad_norm: 2.4067 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4436 loss: 3.4436 2022/08/13 14:16:48 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 6.8798e-02 eta: 2 days, 20:40:11 time: 0.2776 data_time: 0.0164 memory: 6334 grad_norm: 2.3779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3011 loss: 3.3011 2022/08/13 14:17:16 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 6.8867e-02 eta: 2 days, 20:39:41 time: 0.2792 data_time: 0.0167 memory: 6334 grad_norm: 2.3723 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4320 loss: 3.4320 2022/08/13 14:17:44 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 6.8936e-02 eta: 2 days, 20:39:16 time: 0.2890 data_time: 0.0193 memory: 6334 grad_norm: 2.4332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1022 loss: 3.1022 2022/08/13 14:18:13 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 6.9005e-02 eta: 2 days, 20:38:46 time: 0.2804 data_time: 0.0174 memory: 6334 grad_norm: 2.3900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3969 loss: 3.3969 2022/08/13 14:18:41 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 6.9075e-02 eta: 2 days, 20:38:18 time: 0.2783 data_time: 0.0175 memory: 6334 grad_norm: 2.4454 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2016 loss: 3.2016 2022/08/13 14:19:09 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 6.9144e-02 eta: 2 days, 20:37:50 time: 0.2797 data_time: 0.0174 memory: 6334 grad_norm: 2.3751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9599 loss: 2.9599 2022/08/13 14:19:37 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 6.9213e-02 eta: 2 days, 20:37:22 time: 0.2772 data_time: 0.0168 memory: 6334 grad_norm: 2.3621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5051 loss: 3.5051 2022/08/13 14:20:06 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 6.9282e-02 eta: 2 days, 20:36:54 time: 0.2823 data_time: 0.0165 memory: 6334 grad_norm: 2.4457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0990 loss: 3.0990 2022/08/13 14:20:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:20:34 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 6.9351e-02 eta: 2 days, 20:36:25 time: 0.2832 data_time: 0.0181 memory: 6334 grad_norm: 2.3704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3721 loss: 3.3721 2022/08/13 14:21:02 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 6.9421e-02 eta: 2 days, 20:35:57 time: 0.2800 data_time: 0.0175 memory: 6334 grad_norm: 2.4450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3062 loss: 3.3062 2022/08/13 14:21:30 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 6.9490e-02 eta: 2 days, 20:35:28 time: 0.2793 data_time: 0.0162 memory: 6334 grad_norm: 2.3994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2265 loss: 3.2265 2022/08/13 14:21:58 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 6.9559e-02 eta: 2 days, 20:34:59 time: 0.2780 data_time: 0.0172 memory: 6334 grad_norm: 2.3440 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4829 loss: 3.4829 2022/08/13 14:22:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:22:14 - mmengine - INFO - Epoch(train) [23][3757/3757] lr: 6.9598e-02 eta: 2 days, 20:34:47 time: 0.2629 data_time: 0.0155 memory: 6334 grad_norm: 2.4120 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.0218 loss: 3.0218 2022/08/13 14:22:44 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 6.9549e-02 eta: 2 days, 20:33:46 time: 0.2783 data_time: 0.0174 memory: 6334 grad_norm: 2.3400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2414 loss: 3.2414 2022/08/13 14:23:13 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 6.9618e-02 eta: 2 days, 20:33:18 time: 0.2825 data_time: 0.0183 memory: 6334 grad_norm: 2.4160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4158 loss: 3.4158 2022/08/13 14:23:41 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 6.9687e-02 eta: 2 days, 20:32:48 time: 0.2786 data_time: 0.0163 memory: 6334 grad_norm: 2.3883 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2710 loss: 3.2710 2022/08/13 14:24:09 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 6.9756e-02 eta: 2 days, 20:32:18 time: 0.2797 data_time: 0.0169 memory: 6334 grad_norm: 2.4336 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2142 loss: 3.2142 2022/08/13 14:24:37 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 6.9825e-02 eta: 2 days, 20:31:48 time: 0.2777 data_time: 0.0163 memory: 6334 grad_norm: 2.3393 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3126 loss: 3.3126 2022/08/13 14:25:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:25:05 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 6.9894e-02 eta: 2 days, 20:31:19 time: 0.2891 data_time: 0.0189 memory: 6334 grad_norm: 2.3822 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3407 loss: 3.3407 2022/08/13 14:25:33 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 6.9963e-02 eta: 2 days, 20:30:49 time: 0.2766 data_time: 0.0173 memory: 6334 grad_norm: 2.3040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3624 loss: 3.3624 2022/08/13 14:26:01 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 7.0032e-02 eta: 2 days, 20:30:18 time: 0.2779 data_time: 0.0165 memory: 6334 grad_norm: 2.3855 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3864 loss: 3.3864 2022/08/13 14:26:29 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 7.0101e-02 eta: 2 days, 20:29:51 time: 0.2782 data_time: 0.0178 memory: 6334 grad_norm: 2.3883 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4149 loss: 3.4149 2022/08/13 14:26:57 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 7.0170e-02 eta: 2 days, 20:29:20 time: 0.2783 data_time: 0.0161 memory: 6334 grad_norm: 2.3742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0892 loss: 3.0892 2022/08/13 14:27:26 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 7.0239e-02 eta: 2 days, 20:28:56 time: 0.3019 data_time: 0.0174 memory: 6334 grad_norm: 2.3987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3595 loss: 3.3595 2022/08/13 14:27:55 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 7.0309e-02 eta: 2 days, 20:28:32 time: 0.2803 data_time: 0.0171 memory: 6334 grad_norm: 2.4125 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2831 loss: 3.2831 2022/08/13 14:28:24 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 7.0378e-02 eta: 2 days, 20:28:12 time: 0.3198 data_time: 0.0217 memory: 6334 grad_norm: 2.3546 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4794 loss: 3.4794 2022/08/13 14:28:52 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 7.0447e-02 eta: 2 days, 20:27:47 time: 0.2797 data_time: 0.0168 memory: 6334 grad_norm: 2.3836 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0871 loss: 3.0871 2022/08/13 14:29:21 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 7.0516e-02 eta: 2 days, 20:27:24 time: 0.2813 data_time: 0.0181 memory: 6334 grad_norm: 2.3915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2137 loss: 3.2137 2022/08/13 14:29:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:29:49 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 7.0585e-02 eta: 2 days, 20:26:58 time: 0.2794 data_time: 0.0192 memory: 6334 grad_norm: 2.3415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4656 loss: 3.4656 2022/08/13 14:30:18 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 7.0654e-02 eta: 2 days, 20:26:31 time: 0.2917 data_time: 0.0181 memory: 6334 grad_norm: 2.3814 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3403 loss: 3.3403 2022/08/13 14:30:46 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 7.0723e-02 eta: 2 days, 20:26:05 time: 0.2831 data_time: 0.0180 memory: 6334 grad_norm: 2.4126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2966 loss: 3.2966 2022/08/13 14:31:15 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 7.0792e-02 eta: 2 days, 20:25:38 time: 0.2786 data_time: 0.0173 memory: 6334 grad_norm: 2.3417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0613 loss: 3.0613 2022/08/13 14:31:43 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 7.0861e-02 eta: 2 days, 20:25:11 time: 0.2902 data_time: 0.0169 memory: 6334 grad_norm: 2.3445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0994 loss: 3.0994 2022/08/13 14:32:11 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 7.0930e-02 eta: 2 days, 20:24:41 time: 0.2782 data_time: 0.0174 memory: 6334 grad_norm: 2.3937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2808 loss: 3.2808 2022/08/13 14:32:39 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 7.0999e-02 eta: 2 days, 20:24:12 time: 0.2767 data_time: 0.0177 memory: 6334 grad_norm: 2.4069 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3636 loss: 3.3636 2022/08/13 14:33:08 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 7.1068e-02 eta: 2 days, 20:23:45 time: 0.2789 data_time: 0.0172 memory: 6334 grad_norm: 2.3573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4865 loss: 3.4865 2022/08/13 14:33:36 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 7.1137e-02 eta: 2 days, 20:23:17 time: 0.2793 data_time: 0.0171 memory: 6334 grad_norm: 2.2944 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0764 loss: 3.0764 2022/08/13 14:34:04 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 7.1206e-02 eta: 2 days, 20:22:50 time: 0.2867 data_time: 0.0184 memory: 6334 grad_norm: 2.4081 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2649 loss: 3.2649 2022/08/13 14:34:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:34:32 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 7.1275e-02 eta: 2 days, 20:22:21 time: 0.2789 data_time: 0.0172 memory: 6334 grad_norm: 2.3418 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3395 loss: 3.3395 2022/08/13 14:35:01 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 7.1344e-02 eta: 2 days, 20:21:53 time: 0.2775 data_time: 0.0182 memory: 6334 grad_norm: 2.4184 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1855 loss: 3.1855 2022/08/13 14:35:29 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 7.1414e-02 eta: 2 days, 20:21:26 time: 0.2801 data_time: 0.0172 memory: 6334 grad_norm: 2.3494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3517 loss: 3.3517 2022/08/13 14:35:57 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 7.1483e-02 eta: 2 days, 20:21:00 time: 0.3047 data_time: 0.0170 memory: 6334 grad_norm: 2.3408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3269 loss: 3.3269 2022/08/13 14:36:26 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 7.1552e-02 eta: 2 days, 20:20:33 time: 0.2897 data_time: 0.0187 memory: 6334 grad_norm: 2.4373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2542 loss: 3.2542 2022/08/13 14:36:54 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 7.1621e-02 eta: 2 days, 20:20:03 time: 0.2799 data_time: 0.0178 memory: 6334 grad_norm: 2.3742 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6463 loss: 3.6463 2022/08/13 14:37:22 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 7.1690e-02 eta: 2 days, 20:19:34 time: 0.2797 data_time: 0.0163 memory: 6334 grad_norm: 2.3913 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.5143 loss: 3.5143 2022/08/13 14:37:50 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 7.1759e-02 eta: 2 days, 20:19:05 time: 0.2840 data_time: 0.0165 memory: 6334 grad_norm: 2.3698 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5843 loss: 3.5843 2022/08/13 14:38:19 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 7.1828e-02 eta: 2 days, 20:18:40 time: 0.2781 data_time: 0.0170 memory: 6334 grad_norm: 2.3393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9672 loss: 2.9672 2022/08/13 14:38:47 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 7.1897e-02 eta: 2 days, 20:18:15 time: 0.2924 data_time: 0.0190 memory: 6334 grad_norm: 2.3308 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3848 loss: 3.3848 2022/08/13 14:39:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:39:15 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 7.1966e-02 eta: 2 days, 20:17:46 time: 0.2826 data_time: 0.0188 memory: 6334 grad_norm: 2.3811 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4187 loss: 3.4187 2022/08/13 14:39:44 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 7.2035e-02 eta: 2 days, 20:17:16 time: 0.2801 data_time: 0.0174 memory: 6334 grad_norm: 2.3644 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7723 loss: 3.7723 2022/08/13 14:39:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:39:59 - mmengine - INFO - Epoch(train) [24][3757/3757] lr: 7.2074e-02 eta: 2 days, 20:17:05 time: 0.2595 data_time: 0.0148 memory: 6334 grad_norm: 2.3159 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.1990 loss: 3.1990 2022/08/13 14:39:59 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/13 14:40:32 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 7.2015e-02 eta: 2 days, 20:15:56 time: 0.2777 data_time: 0.0171 memory: 6334 grad_norm: 2.4149 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3371 loss: 3.3371 2022/08/13 14:41:00 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 7.2084e-02 eta: 2 days, 20:15:28 time: 0.2784 data_time: 0.0175 memory: 6334 grad_norm: 2.3941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4095 loss: 3.4095 2022/08/13 14:41:29 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 7.2153e-02 eta: 2 days, 20:15:06 time: 0.3031 data_time: 0.0160 memory: 6334 grad_norm: 2.3241 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3780 loss: 3.3780 2022/08/13 14:41:57 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 7.2222e-02 eta: 2 days, 20:14:36 time: 0.2779 data_time: 0.0178 memory: 6334 grad_norm: 2.3508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0533 loss: 3.0533 2022/08/13 14:42:26 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 7.2291e-02 eta: 2 days, 20:14:15 time: 0.3213 data_time: 0.0157 memory: 6334 grad_norm: 2.3896 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3651 loss: 3.3651 2022/08/13 14:42:54 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 7.2360e-02 eta: 2 days, 20:13:46 time: 0.2834 data_time: 0.0194 memory: 6334 grad_norm: 2.3306 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1680 loss: 3.1680 2022/08/13 14:43:23 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 7.2429e-02 eta: 2 days, 20:13:17 time: 0.2780 data_time: 0.0172 memory: 6334 grad_norm: 2.3252 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1185 loss: 3.1185 2022/08/13 14:43:51 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 7.2498e-02 eta: 2 days, 20:12:56 time: 0.2790 data_time: 0.0168 memory: 6334 grad_norm: 2.3611 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0728 loss: 3.0728 2022/08/13 14:44:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:44:20 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 7.2567e-02 eta: 2 days, 20:12:27 time: 0.2790 data_time: 0.0173 memory: 6334 grad_norm: 2.4349 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3340 loss: 3.3340 2022/08/13 14:44:49 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 7.2636e-02 eta: 2 days, 20:12:06 time: 0.3192 data_time: 0.0184 memory: 6334 grad_norm: 2.3364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2634 loss: 3.2634 2022/08/13 14:45:17 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 7.2704e-02 eta: 2 days, 20:11:38 time: 0.2848 data_time: 0.0159 memory: 6334 grad_norm: 2.3784 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3426 loss: 3.3426 2022/08/13 14:45:45 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 7.2773e-02 eta: 2 days, 20:11:13 time: 0.2857 data_time: 0.0167 memory: 6334 grad_norm: 2.3369 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4561 loss: 3.4561 2022/08/13 14:46:14 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 7.2842e-02 eta: 2 days, 20:10:46 time: 0.2796 data_time: 0.0184 memory: 6334 grad_norm: 2.3844 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9860 loss: 2.9860 2022/08/13 14:46:42 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 7.2911e-02 eta: 2 days, 20:10:17 time: 0.2804 data_time: 0.0177 memory: 6334 grad_norm: 2.3477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2049 loss: 3.2049 2022/08/13 14:47:10 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 7.2980e-02 eta: 2 days, 20:09:48 time: 0.2769 data_time: 0.0164 memory: 6334 grad_norm: 2.3541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3160 loss: 3.3160 2022/08/13 14:47:39 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 7.3049e-02 eta: 2 days, 20:09:21 time: 0.2810 data_time: 0.0177 memory: 6334 grad_norm: 2.4060 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3327 loss: 3.3327 2022/08/13 14:48:07 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 7.3118e-02 eta: 2 days, 20:08:53 time: 0.2851 data_time: 0.0176 memory: 6334 grad_norm: 2.3743 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4183 loss: 3.4183 2022/08/13 14:48:35 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 7.3187e-02 eta: 2 days, 20:08:23 time: 0.2766 data_time: 0.0169 memory: 6334 grad_norm: 2.4022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2950 loss: 3.2950 2022/08/13 14:48:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:49:03 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 7.3256e-02 eta: 2 days, 20:07:53 time: 0.2769 data_time: 0.0168 memory: 6334 grad_norm: 2.3205 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3057 loss: 3.3057 2022/08/13 14:49:31 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 7.3325e-02 eta: 2 days, 20:07:27 time: 0.2777 data_time: 0.0166 memory: 6334 grad_norm: 2.3615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9644 loss: 2.9644 2022/08/13 14:49:59 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 7.3394e-02 eta: 2 days, 20:06:57 time: 0.2776 data_time: 0.0171 memory: 6334 grad_norm: 2.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2192 loss: 3.2192 2022/08/13 14:50:28 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 7.3463e-02 eta: 2 days, 20:06:34 time: 0.2881 data_time: 0.0180 memory: 6334 grad_norm: 2.3360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3621 loss: 3.3621 2022/08/13 14:50:56 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 7.3532e-02 eta: 2 days, 20:06:04 time: 0.2790 data_time: 0.0168 memory: 6334 grad_norm: 2.3439 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3257 loss: 3.3257 2022/08/13 14:51:24 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 7.3601e-02 eta: 2 days, 20:05:35 time: 0.2810 data_time: 0.0173 memory: 6334 grad_norm: 2.3801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1911 loss: 3.1911 2022/08/13 14:51:53 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 7.3670e-02 eta: 2 days, 20:05:06 time: 0.2752 data_time: 0.0174 memory: 6334 grad_norm: 2.3658 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3215 loss: 3.3215 2022/08/13 14:52:21 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 7.3739e-02 eta: 2 days, 20:04:40 time: 0.2768 data_time: 0.0175 memory: 6334 grad_norm: 2.3079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1919 loss: 3.1919 2022/08/13 14:52:50 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 7.3808e-02 eta: 2 days, 20:04:14 time: 0.2841 data_time: 0.0193 memory: 6334 grad_norm: 2.3654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0661 loss: 3.0661 2022/08/13 14:53:18 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 7.3876e-02 eta: 2 days, 20:03:46 time: 0.2822 data_time: 0.0185 memory: 6334 grad_norm: 2.4336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2026 loss: 3.2026 2022/08/13 14:53:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:53:46 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 7.3945e-02 eta: 2 days, 20:03:19 time: 0.2858 data_time: 0.0167 memory: 6334 grad_norm: 2.3554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5172 loss: 3.5172 2022/08/13 14:54:14 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 7.4014e-02 eta: 2 days, 20:02:49 time: 0.2767 data_time: 0.0171 memory: 6334 grad_norm: 2.2887 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9813 loss: 2.9813 2022/08/13 14:54:43 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 7.4083e-02 eta: 2 days, 20:02:23 time: 0.2773 data_time: 0.0176 memory: 6334 grad_norm: 2.3291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1605 loss: 3.1605 2022/08/13 14:55:11 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 7.4152e-02 eta: 2 days, 20:01:55 time: 0.2782 data_time: 0.0167 memory: 6334 grad_norm: 2.2763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9991 loss: 2.9991 2022/08/13 14:55:39 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 7.4221e-02 eta: 2 days, 20:01:26 time: 0.2851 data_time: 0.0185 memory: 6334 grad_norm: 2.3207 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3842 loss: 3.3842 2022/08/13 14:56:07 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 7.4290e-02 eta: 2 days, 20:00:57 time: 0.2811 data_time: 0.0175 memory: 6334 grad_norm: 2.3471 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1682 loss: 3.1682 2022/08/13 14:56:35 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 7.4359e-02 eta: 2 days, 20:00:29 time: 0.2794 data_time: 0.0175 memory: 6334 grad_norm: 2.3590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2012 loss: 3.2012 2022/08/13 14:57:04 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 7.4428e-02 eta: 2 days, 20:00:00 time: 0.2801 data_time: 0.0172 memory: 6334 grad_norm: 2.3661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2617 loss: 3.2617 2022/08/13 14:57:32 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 7.4497e-02 eta: 2 days, 19:59:31 time: 0.2797 data_time: 0.0177 memory: 6334 grad_norm: 2.3408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1693 loss: 3.1693 2022/08/13 14:57:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:57:48 - mmengine - INFO - Epoch(train) [25][3757/3757] lr: 7.4536e-02 eta: 2 days, 19:59:24 time: 0.2599 data_time: 0.0148 memory: 6334 grad_norm: 2.3245 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.4920 loss: 3.4920 2022/08/13 14:58:10 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:00:44 time: 0.2130 data_time: 0.1150 memory: 1152 2022/08/13 14:58:31 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:21 time: 0.1949 data_time: 0.0973 memory: 1152 2022/08/13 14:58:52 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:02 time: 0.2127 data_time: 0.1179 memory: 1152 2022/08/13 14:58:58 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.3241 acc/top5: 0.5934 acc/mean1: 0.3240 2022/08/13 14:58:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/13 14:59:00 - mmengine - INFO - The best checkpoint with 0.3241 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/13 14:59:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 14:59:29 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 7.4467e-02 eta: 2 days, 19:58:17 time: 0.2773 data_time: 0.0160 memory: 6334 grad_norm: 2.3796 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5426 loss: 3.5426 2022/08/13 14:59:57 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 7.4535e-02 eta: 2 days, 19:57:48 time: 0.2845 data_time: 0.0169 memory: 6334 grad_norm: 2.3054 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4650 loss: 3.4650 2022/08/13 15:00:25 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 7.4604e-02 eta: 2 days, 19:57:18 time: 0.2776 data_time: 0.0161 memory: 6334 grad_norm: 2.3708 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5100 loss: 3.5100 2022/08/13 15:00:53 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 7.4673e-02 eta: 2 days, 19:56:49 time: 0.2807 data_time: 0.0178 memory: 6334 grad_norm: 2.4151 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1514 loss: 3.1514 2022/08/13 15:01:22 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 7.4742e-02 eta: 2 days, 19:56:21 time: 0.2755 data_time: 0.0170 memory: 6334 grad_norm: 2.3462 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2946 loss: 3.2946 2022/08/13 15:01:50 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 7.4811e-02 eta: 2 days, 19:55:53 time: 0.2787 data_time: 0.0195 memory: 6334 grad_norm: 2.3509 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0776 loss: 3.0776 2022/08/13 15:02:18 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 7.4879e-02 eta: 2 days, 19:55:26 time: 0.2893 data_time: 0.0184 memory: 6334 grad_norm: 2.3405 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2697 loss: 3.2697 2022/08/13 15:02:46 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 7.4948e-02 eta: 2 days, 19:54:57 time: 0.2787 data_time: 0.0164 memory: 6334 grad_norm: 2.3227 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6330 loss: 3.6330 2022/08/13 15:03:14 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 7.5017e-02 eta: 2 days, 19:54:28 time: 0.2786 data_time: 0.0174 memory: 6334 grad_norm: 2.3126 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2045 loss: 3.2045 2022/08/13 15:03:43 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 7.5086e-02 eta: 2 days, 19:53:59 time: 0.2803 data_time: 0.0185 memory: 6334 grad_norm: 2.3763 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3705 loss: 3.3705 2022/08/13 15:04:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:04:11 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 7.5155e-02 eta: 2 days, 19:53:34 time: 0.2972 data_time: 0.0177 memory: 6334 grad_norm: 2.3572 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2714 loss: 3.2714 2022/08/13 15:04:39 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 7.5224e-02 eta: 2 days, 19:53:05 time: 0.2820 data_time: 0.0171 memory: 6334 grad_norm: 2.3539 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3384 loss: 3.3384 2022/08/13 15:05:08 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 7.5292e-02 eta: 2 days, 19:52:40 time: 0.2848 data_time: 0.0182 memory: 6334 grad_norm: 2.4434 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2233 loss: 3.2233 2022/08/13 15:05:36 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 7.5361e-02 eta: 2 days, 19:52:12 time: 0.2797 data_time: 0.0166 memory: 6334 grad_norm: 2.3530 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9993 loss: 2.9993 2022/08/13 15:06:04 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 7.5430e-02 eta: 2 days, 19:51:44 time: 0.2787 data_time: 0.0163 memory: 6334 grad_norm: 2.3460 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9113 loss: 2.9113 2022/08/13 15:06:33 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 7.5499e-02 eta: 2 days, 19:51:15 time: 0.2769 data_time: 0.0163 memory: 6334 grad_norm: 2.3307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1512 loss: 3.1512 2022/08/13 15:07:01 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 7.5568e-02 eta: 2 days, 19:50:45 time: 0.2800 data_time: 0.0167 memory: 6334 grad_norm: 2.3546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1990 loss: 3.1990 2022/08/13 15:07:29 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 7.5636e-02 eta: 2 days, 19:50:18 time: 0.2888 data_time: 0.0187 memory: 6334 grad_norm: 2.3428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1451 loss: 3.1451 2022/08/13 15:07:57 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 7.5705e-02 eta: 2 days, 19:49:49 time: 0.2794 data_time: 0.0173 memory: 6334 grad_norm: 2.2914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1706 loss: 3.1706 2022/08/13 15:08:25 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 7.5774e-02 eta: 2 days, 19:49:19 time: 0.2791 data_time: 0.0173 memory: 6334 grad_norm: 2.3494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4497 loss: 3.4497 2022/08/13 15:08:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:08:54 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 7.5843e-02 eta: 2 days, 19:48:52 time: 0.2797 data_time: 0.0167 memory: 6334 grad_norm: 2.3283 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3313 loss: 3.3313 2022/08/13 15:09:22 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 7.5912e-02 eta: 2 days, 19:48:22 time: 0.2809 data_time: 0.0190 memory: 6334 grad_norm: 2.3241 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9492 loss: 2.9492 2022/08/13 15:09:50 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 7.5980e-02 eta: 2 days, 19:47:54 time: 0.2897 data_time: 0.0174 memory: 6334 grad_norm: 2.3408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0259 loss: 3.0259 2022/08/13 15:10:18 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 7.6049e-02 eta: 2 days, 19:47:29 time: 0.2842 data_time: 0.0180 memory: 6334 grad_norm: 2.3238 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0391 loss: 3.0391 2022/08/13 15:10:47 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 7.6118e-02 eta: 2 days, 19:47:04 time: 0.2946 data_time: 0.0184 memory: 6334 grad_norm: 2.4403 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1639 loss: 3.1639 2022/08/13 15:11:15 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 7.6187e-02 eta: 2 days, 19:46:34 time: 0.2801 data_time: 0.0165 memory: 6334 grad_norm: 2.2482 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4793 loss: 3.4793 2022/08/13 15:11:43 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 7.6256e-02 eta: 2 days, 19:46:07 time: 0.2804 data_time: 0.0204 memory: 6334 grad_norm: 2.3890 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0664 loss: 3.0664 2022/08/13 15:12:12 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 7.6325e-02 eta: 2 days, 19:45:43 time: 0.3013 data_time: 0.0173 memory: 6334 grad_norm: 2.3704 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2541 loss: 3.2541 2022/08/13 15:12:41 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 7.6393e-02 eta: 2 days, 19:45:17 time: 0.2884 data_time: 0.0191 memory: 6334 grad_norm: 2.3077 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2770 loss: 3.2770 2022/08/13 15:13:09 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 7.6462e-02 eta: 2 days, 19:44:48 time: 0.2794 data_time: 0.0178 memory: 6334 grad_norm: 2.3390 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2073 loss: 3.2073 2022/08/13 15:13:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:13:37 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 7.6531e-02 eta: 2 days, 19:44:23 time: 0.2832 data_time: 0.0180 memory: 6334 grad_norm: 2.3172 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2129 loss: 3.2129 2022/08/13 15:14:06 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 7.6600e-02 eta: 2 days, 19:43:54 time: 0.2789 data_time: 0.0180 memory: 6334 grad_norm: 2.3964 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3623 loss: 3.3623 2022/08/13 15:14:34 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 7.6669e-02 eta: 2 days, 19:43:29 time: 0.2775 data_time: 0.0170 memory: 6334 grad_norm: 2.2551 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2589 loss: 3.2589 2022/08/13 15:15:02 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 7.6737e-02 eta: 2 days, 19:43:02 time: 0.2793 data_time: 0.0181 memory: 6334 grad_norm: 2.3444 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1738 loss: 3.1738 2022/08/13 15:15:31 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 7.6806e-02 eta: 2 days, 19:42:34 time: 0.2783 data_time: 0.0177 memory: 6334 grad_norm: 2.3614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5429 loss: 3.5429 2022/08/13 15:15:59 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 7.6875e-02 eta: 2 days, 19:42:06 time: 0.2842 data_time: 0.0181 memory: 6334 grad_norm: 2.2849 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1997 loss: 3.1997 2022/08/13 15:16:27 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 7.6944e-02 eta: 2 days, 19:41:37 time: 0.2863 data_time: 0.0172 memory: 6334 grad_norm: 2.3418 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1387 loss: 3.1387 2022/08/13 15:16:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:16:43 - mmengine - INFO - Epoch(train) [26][3757/3757] lr: 7.6983e-02 eta: 2 days, 19:41:26 time: 0.2581 data_time: 0.0141 memory: 6334 grad_norm: 2.3652 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.3907 loss: 3.3907 2022/08/13 15:17:13 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 7.6903e-02 eta: 2 days, 19:40:29 time: 0.2786 data_time: 0.0175 memory: 6334 grad_norm: 2.3564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6375 loss: 3.6375 2022/08/13 15:17:42 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 7.6972e-02 eta: 2 days, 19:40:05 time: 0.2882 data_time: 0.0182 memory: 6334 grad_norm: 2.4138 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2007 loss: 3.2007 2022/08/13 15:18:10 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 7.7040e-02 eta: 2 days, 19:39:36 time: 0.2791 data_time: 0.0168 memory: 6334 grad_norm: 2.3270 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2779 loss: 3.2779 2022/08/13 15:18:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:18:39 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 7.7109e-02 eta: 2 days, 19:39:10 time: 0.2958 data_time: 0.0162 memory: 6334 grad_norm: 2.3206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3073 loss: 3.3073 2022/08/13 15:19:07 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 7.7178e-02 eta: 2 days, 19:38:39 time: 0.2783 data_time: 0.0175 memory: 6334 grad_norm: 2.3244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4301 loss: 3.4301 2022/08/13 15:19:35 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 7.7246e-02 eta: 2 days, 19:38:12 time: 0.2793 data_time: 0.0172 memory: 6334 grad_norm: 2.3780 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1807 loss: 3.1807 2022/08/13 15:20:03 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 7.7315e-02 eta: 2 days, 19:37:42 time: 0.2784 data_time: 0.0177 memory: 6334 grad_norm: 2.4040 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1574 loss: 3.1574 2022/08/13 15:20:31 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 7.7384e-02 eta: 2 days, 19:37:13 time: 0.2801 data_time: 0.0174 memory: 6334 grad_norm: 2.3125 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1457 loss: 3.1457 2022/08/13 15:21:00 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 7.7452e-02 eta: 2 days, 19:36:47 time: 0.2950 data_time: 0.0193 memory: 6334 grad_norm: 2.3067 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5108 loss: 3.5108 2022/08/13 15:21:28 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 7.7521e-02 eta: 2 days, 19:36:18 time: 0.2794 data_time: 0.0167 memory: 6334 grad_norm: 2.2880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3639 loss: 3.3639 2022/08/13 15:21:56 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 7.7590e-02 eta: 2 days, 19:35:48 time: 0.2783 data_time: 0.0181 memory: 6334 grad_norm: 2.3355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0118 loss: 3.0118 2022/08/13 15:22:24 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 7.7658e-02 eta: 2 days, 19:35:20 time: 0.2774 data_time: 0.0173 memory: 6334 grad_norm: 2.3187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1801 loss: 3.1801 2022/08/13 15:22:52 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 7.7727e-02 eta: 2 days, 19:34:50 time: 0.2782 data_time: 0.0177 memory: 6334 grad_norm: 2.3619 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2174 loss: 3.2174 2022/08/13 15:22:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:23:21 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 7.7796e-02 eta: 2 days, 19:34:26 time: 0.2980 data_time: 0.0180 memory: 6334 grad_norm: 2.3746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1977 loss: 3.1977 2022/08/13 15:23:49 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 7.7864e-02 eta: 2 days, 19:34:00 time: 0.2799 data_time: 0.0159 memory: 6334 grad_norm: 2.3911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2320 loss: 3.2320 2022/08/13 15:24:17 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 7.7933e-02 eta: 2 days, 19:33:31 time: 0.2810 data_time: 0.0185 memory: 6334 grad_norm: 2.3590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4319 loss: 3.4319 2022/08/13 15:24:46 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 7.8002e-02 eta: 2 days, 19:33:04 time: 0.2779 data_time: 0.0169 memory: 6334 grad_norm: 2.3373 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1059 loss: 3.1059 2022/08/13 15:25:14 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 7.8070e-02 eta: 2 days, 19:32:38 time: 0.2778 data_time: 0.0165 memory: 6334 grad_norm: 2.3750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9931 loss: 2.9931 2022/08/13 15:25:43 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 7.8139e-02 eta: 2 days, 19:32:12 time: 0.2917 data_time: 0.0170 memory: 6334 grad_norm: 2.3273 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3678 loss: 3.3678 2022/08/13 15:26:11 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 7.8208e-02 eta: 2 days, 19:31:43 time: 0.2814 data_time: 0.0211 memory: 6334 grad_norm: 2.3262 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9532 loss: 2.9532 2022/08/13 15:26:39 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 7.8276e-02 eta: 2 days, 19:31:16 time: 0.2857 data_time: 0.0174 memory: 6334 grad_norm: 2.3517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5927 loss: 3.5927 2022/08/13 15:27:08 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 7.8345e-02 eta: 2 days, 19:30:48 time: 0.2783 data_time: 0.0172 memory: 6334 grad_norm: 2.3077 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2768 loss: 3.2768 2022/08/13 15:27:36 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 7.8414e-02 eta: 2 days, 19:30:19 time: 0.2784 data_time: 0.0167 memory: 6334 grad_norm: 2.2662 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2459 loss: 3.2459 2022/08/13 15:27:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:28:04 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 7.8482e-02 eta: 2 days, 19:29:52 time: 0.2783 data_time: 0.0170 memory: 6334 grad_norm: 2.3671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3309 loss: 3.3309 2022/08/13 15:28:32 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 7.8551e-02 eta: 2 days, 19:29:23 time: 0.2789 data_time: 0.0168 memory: 6334 grad_norm: 2.3778 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4693 loss: 3.4693 2022/08/13 15:29:01 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 7.8620e-02 eta: 2 days, 19:28:55 time: 0.2828 data_time: 0.0181 memory: 6334 grad_norm: 2.2748 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4661 loss: 3.4661 2022/08/13 15:29:29 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 7.8689e-02 eta: 2 days, 19:28:28 time: 0.2905 data_time: 0.0165 memory: 6334 grad_norm: 2.3533 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9155 loss: 2.9155 2022/08/13 15:29:57 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 7.8757e-02 eta: 2 days, 19:27:59 time: 0.2774 data_time: 0.0173 memory: 6334 grad_norm: 2.3272 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2432 loss: 3.2432 2022/08/13 15:30:26 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 7.8826e-02 eta: 2 days, 19:27:36 time: 0.2789 data_time: 0.0178 memory: 6334 grad_norm: 2.3024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2772 loss: 3.2772 2022/08/13 15:30:54 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 7.8895e-02 eta: 2 days, 19:27:07 time: 0.2787 data_time: 0.0173 memory: 6334 grad_norm: 2.3297 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2524 loss: 3.2524 2022/08/13 15:31:22 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 7.8963e-02 eta: 2 days, 19:26:38 time: 0.2796 data_time: 0.0186 memory: 6334 grad_norm: 2.3713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3329 loss: 3.3329 2022/08/13 15:31:50 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 7.9032e-02 eta: 2 days, 19:26:10 time: 0.2872 data_time: 0.0179 memory: 6334 grad_norm: 2.3175 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2689 loss: 3.2689 2022/08/13 15:32:19 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 7.9101e-02 eta: 2 days, 19:25:41 time: 0.2786 data_time: 0.0175 memory: 6334 grad_norm: 2.2903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0692 loss: 3.0692 2022/08/13 15:32:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:32:47 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 7.9169e-02 eta: 2 days, 19:25:12 time: 0.2772 data_time: 0.0179 memory: 6334 grad_norm: 2.2994 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3354 loss: 3.3354 2022/08/13 15:33:15 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 7.9238e-02 eta: 2 days, 19:24:43 time: 0.2793 data_time: 0.0180 memory: 6334 grad_norm: 2.3182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3056 loss: 3.3056 2022/08/13 15:33:43 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 7.9307e-02 eta: 2 days, 19:24:15 time: 0.2839 data_time: 0.0169 memory: 6334 grad_norm: 2.2874 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9627 loss: 2.9627 2022/08/13 15:34:11 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 7.9375e-02 eta: 2 days, 19:23:46 time: 0.2855 data_time: 0.0177 memory: 6334 grad_norm: 2.2866 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1256 loss: 3.1256 2022/08/13 15:34:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:34:27 - mmengine - INFO - Epoch(train) [27][3757/3757] lr: 7.9414e-02 eta: 2 days, 19:23:34 time: 0.2577 data_time: 0.0140 memory: 6334 grad_norm: 2.2009 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.8885 loss: 2.8885 2022/08/13 15:34:57 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 7.9323e-02 eta: 2 days, 19:22:39 time: 0.2791 data_time: 0.0171 memory: 6334 grad_norm: 2.2487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4350 loss: 3.4350 2022/08/13 15:35:25 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 7.9392e-02 eta: 2 days, 19:22:10 time: 0.2785 data_time: 0.0169 memory: 6334 grad_norm: 2.2406 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4913 loss: 3.4913 2022/08/13 15:35:54 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 7.9460e-02 eta: 2 days, 19:21:43 time: 0.2961 data_time: 0.0189 memory: 6334 grad_norm: 2.3321 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2540 loss: 3.2540 2022/08/13 15:36:22 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 7.9529e-02 eta: 2 days, 19:21:14 time: 0.2788 data_time: 0.0177 memory: 6334 grad_norm: 2.3253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1736 loss: 3.1736 2022/08/13 15:36:50 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 7.9597e-02 eta: 2 days, 19:20:46 time: 0.2870 data_time: 0.0175 memory: 6334 grad_norm: 2.3148 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1696 loss: 3.1696 2022/08/13 15:37:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:37:18 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 7.9666e-02 eta: 2 days, 19:20:17 time: 0.2793 data_time: 0.0172 memory: 6334 grad_norm: 2.3196 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3304 loss: 3.3304 2022/08/13 15:37:47 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 7.9735e-02 eta: 2 days, 19:19:48 time: 0.2783 data_time: 0.0167 memory: 6334 grad_norm: 2.2909 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1447 loss: 3.1447 2022/08/13 15:38:15 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 7.9803e-02 eta: 2 days, 19:19:25 time: 0.2787 data_time: 0.0173 memory: 6334 grad_norm: 2.3485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1473 loss: 3.1473 2022/08/13 15:38:44 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 7.9872e-02 eta: 2 days, 19:18:56 time: 0.2774 data_time: 0.0174 memory: 6334 grad_norm: 2.2523 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0295 loss: 3.0295 2022/08/13 15:39:12 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 7.9940e-02 eta: 2 days, 19:18:29 time: 0.2876 data_time: 0.0198 memory: 6334 grad_norm: 2.2895 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2387 loss: 3.2387 2022/08/13 15:39:40 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 8.0009e-02 eta: 2 days, 19:18:00 time: 0.2800 data_time: 0.0173 memory: 6334 grad_norm: 2.3257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1589 loss: 3.1589 2022/08/13 15:40:08 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 8.0077e-02 eta: 2 days, 19:17:31 time: 0.2793 data_time: 0.0172 memory: 6334 grad_norm: 2.2691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1220 loss: 3.1220 2022/08/13 15:40:37 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 8.0146e-02 eta: 2 days, 19:17:10 time: 0.2787 data_time: 0.0161 memory: 6334 grad_norm: 2.2765 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4383 loss: 3.4383 2022/08/13 15:41:05 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 8.0214e-02 eta: 2 days, 19:16:41 time: 0.2781 data_time: 0.0180 memory: 6334 grad_norm: 2.2756 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2598 loss: 3.2598 2022/08/13 15:41:34 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 8.0283e-02 eta: 2 days, 19:16:17 time: 0.2838 data_time: 0.0182 memory: 6334 grad_norm: 2.2325 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3845 loss: 3.3845 2022/08/13 15:41:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:42:02 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 8.0351e-02 eta: 2 days, 19:15:48 time: 0.2774 data_time: 0.0174 memory: 6334 grad_norm: 2.2907 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4825 loss: 3.4825 2022/08/13 15:42:31 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 8.0420e-02 eta: 2 days, 19:15:21 time: 0.2868 data_time: 0.0218 memory: 6334 grad_norm: 2.3188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1405 loss: 3.1405 2022/08/13 15:42:59 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 8.0488e-02 eta: 2 days, 19:14:51 time: 0.2775 data_time: 0.0172 memory: 6334 grad_norm: 2.3464 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1681 loss: 3.1681 2022/08/13 15:43:27 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 8.0557e-02 eta: 2 days, 19:14:22 time: 0.2771 data_time: 0.0168 memory: 6334 grad_norm: 2.3035 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2832 loss: 3.2832 2022/08/13 15:43:55 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 8.0626e-02 eta: 2 days, 19:13:56 time: 0.2971 data_time: 0.0181 memory: 6334 grad_norm: 2.2882 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4586 loss: 3.4586 2022/08/13 15:44:24 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 8.0694e-02 eta: 2 days, 19:13:27 time: 0.2799 data_time: 0.0184 memory: 6334 grad_norm: 2.3250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2487 loss: 3.2487 2022/08/13 15:44:52 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 8.0763e-02 eta: 2 days, 19:13:00 time: 0.2909 data_time: 0.0185 memory: 6334 grad_norm: 2.3120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9739 loss: 2.9739 2022/08/13 15:45:20 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 8.0831e-02 eta: 2 days, 19:12:32 time: 0.2815 data_time: 0.0166 memory: 6334 grad_norm: 2.2859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1731 loss: 3.1731 2022/08/13 15:45:48 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 8.0900e-02 eta: 2 days, 19:12:03 time: 0.2784 data_time: 0.0181 memory: 6334 grad_norm: 2.3558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0841 loss: 3.0841 2022/08/13 15:46:16 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 8.0968e-02 eta: 2 days, 19:11:34 time: 0.2776 data_time: 0.0164 memory: 6334 grad_norm: 2.2718 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4601 loss: 3.4601 2022/08/13 15:46:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:46:45 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 8.1037e-02 eta: 2 days, 19:11:05 time: 0.2781 data_time: 0.0177 memory: 6334 grad_norm: 2.3686 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2572 loss: 3.2572 2022/08/13 15:47:13 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 8.1105e-02 eta: 2 days, 19:10:36 time: 0.2802 data_time: 0.0172 memory: 6334 grad_norm: 2.2938 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0556 loss: 3.0556 2022/08/13 15:47:41 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 8.1174e-02 eta: 2 days, 19:10:07 time: 0.2789 data_time: 0.0171 memory: 6334 grad_norm: 2.2833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3591 loss: 3.3591 2022/08/13 15:48:09 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 8.1242e-02 eta: 2 days, 19:09:38 time: 0.2794 data_time: 0.0166 memory: 6334 grad_norm: 2.3477 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3016 loss: 3.3016 2022/08/13 15:48:38 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 8.1311e-02 eta: 2 days, 19:09:14 time: 0.2777 data_time: 0.0173 memory: 6334 grad_norm: 2.3173 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2748 loss: 3.2748 2022/08/13 15:49:06 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 8.1380e-02 eta: 2 days, 19:08:45 time: 0.2778 data_time: 0.0166 memory: 6334 grad_norm: 2.2635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2753 loss: 3.2753 2022/08/13 15:49:35 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 8.1448e-02 eta: 2 days, 19:08:22 time: 0.3062 data_time: 0.0159 memory: 6334 grad_norm: 2.2672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.3552 loss: 3.3552 2022/08/13 15:50:03 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 8.1517e-02 eta: 2 days, 19:07:52 time: 0.2780 data_time: 0.0180 memory: 6334 grad_norm: 2.2565 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1787 loss: 3.1787 2022/08/13 15:50:31 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 8.1585e-02 eta: 2 days, 19:07:24 time: 0.2800 data_time: 0.0179 memory: 6334 grad_norm: 2.3015 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2550 loss: 3.2550 2022/08/13 15:50:59 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 8.1654e-02 eta: 2 days, 19:06:55 time: 0.2778 data_time: 0.0163 memory: 6334 grad_norm: 2.2739 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0714 loss: 3.0714 2022/08/13 15:51:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:51:27 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 8.1722e-02 eta: 2 days, 19:06:26 time: 0.2786 data_time: 0.0168 memory: 6334 grad_norm: 2.3324 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3177 loss: 3.3177 2022/08/13 15:51:56 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 8.1791e-02 eta: 2 days, 19:06:00 time: 0.2835 data_time: 0.0176 memory: 6334 grad_norm: 2.2626 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2853 loss: 3.2853 2022/08/13 15:52:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:52:12 - mmengine - INFO - Epoch(train) [28][3757/3757] lr: 8.1830e-02 eta: 2 days, 19:05:51 time: 0.2590 data_time: 0.0150 memory: 6334 grad_norm: 2.3250 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 3.1888 loss: 3.1888 2022/08/13 15:52:12 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/13 15:52:44 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 8.1727e-02 eta: 2 days, 19:04:48 time: 0.2814 data_time: 0.0166 memory: 6334 grad_norm: 2.3090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0316 loss: 3.0316 2022/08/13 15:53:12 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 8.1796e-02 eta: 2 days, 19:04:21 time: 0.2824 data_time: 0.0169 memory: 6334 grad_norm: 2.3543 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3009 loss: 3.3009 2022/08/13 15:53:41 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 8.1864e-02 eta: 2 days, 19:03:54 time: 0.2807 data_time: 0.0196 memory: 6334 grad_norm: 2.4133 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2744 loss: 3.2744 2022/08/13 15:54:09 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 8.1933e-02 eta: 2 days, 19:03:26 time: 0.2784 data_time: 0.0174 memory: 6334 grad_norm: 2.2437 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4294 loss: 3.4294 2022/08/13 15:54:37 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 8.2001e-02 eta: 2 days, 19:02:58 time: 0.2771 data_time: 0.0163 memory: 6334 grad_norm: 2.2666 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3045 loss: 3.3045 2022/08/13 15:55:06 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 8.2069e-02 eta: 2 days, 19:02:30 time: 0.2809 data_time: 0.0163 memory: 6334 grad_norm: 2.3184 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3262 loss: 3.3262 2022/08/13 15:55:34 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 8.2138e-02 eta: 2 days, 19:02:02 time: 0.2891 data_time: 0.0199 memory: 6334 grad_norm: 2.3247 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.5006 loss: 3.5006 2022/08/13 15:56:02 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 8.2206e-02 eta: 2 days, 19:01:35 time: 0.2804 data_time: 0.0177 memory: 6334 grad_norm: 2.3751 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2989 loss: 3.2989 2022/08/13 15:56:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 15:56:30 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 8.2275e-02 eta: 2 days, 19:01:06 time: 0.2774 data_time: 0.0163 memory: 6334 grad_norm: 2.3159 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7010 loss: 3.7010 2022/08/13 15:56:59 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 8.2343e-02 eta: 2 days, 19:00:39 time: 0.2788 data_time: 0.0160 memory: 6334 grad_norm: 2.3197 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4245 loss: 3.4245 2022/08/13 15:57:27 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 8.2411e-02 eta: 2 days, 19:00:11 time: 0.2779 data_time: 0.0185 memory: 6334 grad_norm: 2.2984 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5224 loss: 3.5224 2022/08/13 15:57:55 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 8.2480e-02 eta: 2 days, 18:59:43 time: 0.2820 data_time: 0.0162 memory: 6334 grad_norm: 2.2513 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2985 loss: 3.2985 2022/08/13 15:58:24 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 8.2548e-02 eta: 2 days, 18:59:15 time: 0.2897 data_time: 0.0219 memory: 6334 grad_norm: 2.3300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1154 loss: 3.1154 2022/08/13 15:58:52 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 8.2617e-02 eta: 2 days, 18:58:47 time: 0.2929 data_time: 0.0187 memory: 6334 grad_norm: 2.2273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1916 loss: 3.1916 2022/08/13 15:59:20 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 8.2685e-02 eta: 2 days, 18:58:17 time: 0.2781 data_time: 0.0186 memory: 6334 grad_norm: 2.2868 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5303 loss: 3.5303 2022/08/13 15:59:48 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 8.2753e-02 eta: 2 days, 18:57:49 time: 0.2802 data_time: 0.0166 memory: 6334 grad_norm: 2.2895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3391 loss: 3.3391 2022/08/13 16:00:16 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 8.2822e-02 eta: 2 days, 18:57:20 time: 0.2779 data_time: 0.0184 memory: 6334 grad_norm: 2.3801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3064 loss: 3.3064 2022/08/13 16:00:44 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 8.2890e-02 eta: 2 days, 18:56:51 time: 0.2832 data_time: 0.0177 memory: 6334 grad_norm: 2.3278 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4482 loss: 3.4482 2022/08/13 16:00:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:01:13 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 8.2958e-02 eta: 2 days, 18:56:23 time: 0.2798 data_time: 0.0179 memory: 6334 grad_norm: 2.3109 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3669 loss: 3.3669 2022/08/13 16:01:41 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 8.3027e-02 eta: 2 days, 18:55:57 time: 0.2800 data_time: 0.0184 memory: 6334 grad_norm: 2.2563 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3562 loss: 3.3562 2022/08/13 16:02:09 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 8.3095e-02 eta: 2 days, 18:55:29 time: 0.2778 data_time: 0.0172 memory: 6334 grad_norm: 2.3307 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3623 loss: 3.3623 2022/08/13 16:02:38 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 8.3164e-02 eta: 2 days, 18:55:01 time: 0.2792 data_time: 0.0172 memory: 6334 grad_norm: 2.3466 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3162 loss: 3.3162 2022/08/13 16:03:06 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 8.3232e-02 eta: 2 days, 18:54:33 time: 0.2868 data_time: 0.0211 memory: 6334 grad_norm: 2.2584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4706 loss: 3.4706 2022/08/13 16:03:34 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 8.3300e-02 eta: 2 days, 18:54:04 time: 0.2815 data_time: 0.0189 memory: 6334 grad_norm: 2.3129 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3247 loss: 3.3247 2022/08/13 16:04:02 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 8.3369e-02 eta: 2 days, 18:53:35 time: 0.2808 data_time: 0.0165 memory: 6334 grad_norm: 2.2688 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3408 loss: 3.3408 2022/08/13 16:04:30 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 8.3437e-02 eta: 2 days, 18:53:06 time: 0.2788 data_time: 0.0160 memory: 6334 grad_norm: 2.2636 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4343 loss: 3.4343 2022/08/13 16:04:59 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 8.3506e-02 eta: 2 days, 18:52:38 time: 0.2833 data_time: 0.0180 memory: 6334 grad_norm: 2.3389 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2124 loss: 3.2124 2022/08/13 16:05:27 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 8.3574e-02 eta: 2 days, 18:52:10 time: 0.2858 data_time: 0.0183 memory: 6334 grad_norm: 2.2738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4682 loss: 3.4682 2022/08/13 16:05:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:05:55 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 8.3642e-02 eta: 2 days, 18:51:41 time: 0.2801 data_time: 0.0169 memory: 6334 grad_norm: 2.2530 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0230 loss: 3.0230 2022/08/13 16:06:23 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 8.3711e-02 eta: 2 days, 18:51:13 time: 0.2839 data_time: 0.0164 memory: 6334 grad_norm: 2.2961 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1384 loss: 3.1384 2022/08/13 16:06:51 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 8.3779e-02 eta: 2 days, 18:50:44 time: 0.2786 data_time: 0.0173 memory: 6334 grad_norm: 2.2463 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6667 loss: 3.6667 2022/08/13 16:07:20 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 8.3848e-02 eta: 2 days, 18:50:16 time: 0.2794 data_time: 0.0175 memory: 6334 grad_norm: 2.2690 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0009 loss: 3.0009 2022/08/13 16:07:48 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 8.3916e-02 eta: 2 days, 18:49:48 time: 0.2788 data_time: 0.0164 memory: 6334 grad_norm: 2.2697 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2695 loss: 3.2695 2022/08/13 16:08:16 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 8.3984e-02 eta: 2 days, 18:49:20 time: 0.2827 data_time: 0.0186 memory: 6334 grad_norm: 2.2549 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3860 loss: 3.3860 2022/08/13 16:08:45 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 8.4053e-02 eta: 2 days, 18:48:54 time: 0.2933 data_time: 0.0179 memory: 6334 grad_norm: 2.2886 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2322 loss: 3.2322 2022/08/13 16:09:13 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 8.4121e-02 eta: 2 days, 18:48:26 time: 0.2812 data_time: 0.0193 memory: 6334 grad_norm: 2.3079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3012 loss: 3.3012 2022/08/13 16:09:41 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 8.4190e-02 eta: 2 days, 18:47:59 time: 0.2802 data_time: 0.0173 memory: 6334 grad_norm: 2.2747 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5720 loss: 3.5720 2022/08/13 16:09:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:09:57 - mmengine - INFO - Epoch(train) [29][3757/3757] lr: 8.4229e-02 eta: 2 days, 18:47:50 time: 0.2604 data_time: 0.0154 memory: 6334 grad_norm: 2.2659 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.1062 loss: 3.1062 2022/08/13 16:10:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:10:28 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 8.4114e-02 eta: 2 days, 18:46:55 time: 0.2846 data_time: 0.0188 memory: 6334 grad_norm: 2.3505 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8786 loss: 2.8786 2022/08/13 16:10:56 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 8.4183e-02 eta: 2 days, 18:46:27 time: 0.2781 data_time: 0.0167 memory: 6334 grad_norm: 2.2790 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4012 loss: 3.4012 2022/08/13 16:11:24 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 8.4251e-02 eta: 2 days, 18:45:58 time: 0.2858 data_time: 0.0168 memory: 6334 grad_norm: 2.2929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9848 loss: 2.9848 2022/08/13 16:11:52 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 8.4319e-02 eta: 2 days, 18:45:30 time: 0.2800 data_time: 0.0173 memory: 6334 grad_norm: 2.2689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4138 loss: 3.4138 2022/08/13 16:12:20 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 8.4387e-02 eta: 2 days, 18:45:01 time: 0.2788 data_time: 0.0163 memory: 6334 grad_norm: 2.2711 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2738 loss: 3.2738 2022/08/13 16:12:49 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 8.4456e-02 eta: 2 days, 18:44:33 time: 0.2781 data_time: 0.0171 memory: 6334 grad_norm: 2.2438 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1428 loss: 3.1428 2022/08/13 16:13:17 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 8.4524e-02 eta: 2 days, 18:44:04 time: 0.2835 data_time: 0.0200 memory: 6334 grad_norm: 2.3508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2352 loss: 3.2352 2022/08/13 16:13:45 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 8.4592e-02 eta: 2 days, 18:43:36 time: 0.2841 data_time: 0.0176 memory: 6334 grad_norm: 2.3029 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1101 loss: 3.1101 2022/08/13 16:14:13 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 8.4660e-02 eta: 2 days, 18:43:08 time: 0.2833 data_time: 0.0183 memory: 6334 grad_norm: 2.2528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3200 loss: 3.3200 2022/08/13 16:14:41 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 8.4729e-02 eta: 2 days, 18:42:39 time: 0.2793 data_time: 0.0161 memory: 6334 grad_norm: 2.3091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4232 loss: 3.4232 2022/08/13 16:14:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:15:10 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 8.4797e-02 eta: 2 days, 18:42:11 time: 0.2779 data_time: 0.0165 memory: 6334 grad_norm: 2.3379 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1989 loss: 3.1989 2022/08/13 16:15:38 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 8.4865e-02 eta: 2 days, 18:41:43 time: 0.2812 data_time: 0.0184 memory: 6334 grad_norm: 2.3072 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3587 loss: 3.3587 2022/08/13 16:16:06 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 8.4933e-02 eta: 2 days, 18:41:16 time: 0.2844 data_time: 0.0188 memory: 6334 grad_norm: 2.2824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3213 loss: 3.3213 2022/08/13 16:16:35 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 8.5002e-02 eta: 2 days, 18:40:47 time: 0.2795 data_time: 0.0179 memory: 6334 grad_norm: 2.3043 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4079 loss: 3.4079 2022/08/13 16:17:12 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 8.5070e-02 eta: 2 days, 18:41:33 time: 0.6610 data_time: 0.0292 memory: 6334 grad_norm: 2.2627 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2716 loss: 3.2716 2022/08/13 16:17:41 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 8.5138e-02 eta: 2 days, 18:41:10 time: 0.2792 data_time: 0.0156 memory: 6334 grad_norm: 2.2890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4633 loss: 3.4633 2022/08/13 16:18:14 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 8.5206e-02 eta: 2 days, 18:41:13 time: 0.2993 data_time: 0.0172 memory: 6334 grad_norm: 2.2674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0467 loss: 3.0467 2022/08/13 16:18:43 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 8.5275e-02 eta: 2 days, 18:40:54 time: 0.2767 data_time: 0.0172 memory: 6334 grad_norm: 2.2069 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0339 loss: 3.0339 2022/08/13 16:19:11 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 8.5343e-02 eta: 2 days, 18:40:26 time: 0.2828 data_time: 0.0164 memory: 6334 grad_norm: 2.3063 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9630 loss: 2.9630 2022/08/13 16:19:44 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 8.5411e-02 eta: 2 days, 18:40:28 time: 0.2770 data_time: 0.0163 memory: 6334 grad_norm: 2.2497 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4038 loss: 3.4038 2022/08/13 16:19:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:20:12 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 8.5479e-02 eta: 2 days, 18:40:05 time: 0.2786 data_time: 0.0167 memory: 6334 grad_norm: 2.3227 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0536 loss: 3.0536 2022/08/13 16:20:44 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 8.5548e-02 eta: 2 days, 18:40:03 time: 0.2812 data_time: 0.0173 memory: 6334 grad_norm: 2.2787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7217 loss: 3.7217 2022/08/13 16:21:14 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 8.5616e-02 eta: 2 days, 18:39:48 time: 0.2844 data_time: 0.0181 memory: 6334 grad_norm: 2.3147 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2401 loss: 3.2401 2022/08/13 16:21:42 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 8.5684e-02 eta: 2 days, 18:39:20 time: 0.2785 data_time: 0.0176 memory: 6334 grad_norm: 2.3051 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3828 loss: 3.3828 2022/08/13 16:22:11 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 8.5752e-02 eta: 2 days, 18:38:54 time: 0.2770 data_time: 0.0170 memory: 6334 grad_norm: 2.2511 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3072 loss: 3.3072 2022/08/13 16:22:40 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 8.5821e-02 eta: 2 days, 18:38:28 time: 0.2789 data_time: 0.0179 memory: 6334 grad_norm: 2.2307 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1791 loss: 3.1791 2022/08/13 16:23:08 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 8.5889e-02 eta: 2 days, 18:38:00 time: 0.2814 data_time: 0.0170 memory: 6334 grad_norm: 2.2324 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2693 loss: 3.2693 2022/08/13 16:23:36 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 8.5957e-02 eta: 2 days, 18:37:33 time: 0.2891 data_time: 0.0173 memory: 6334 grad_norm: 2.3169 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/08/13 16:24:05 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 8.6025e-02 eta: 2 days, 18:37:05 time: 0.2760 data_time: 0.0165 memory: 6334 grad_norm: 2.2104 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2819 loss: 3.2819 2022/08/13 16:24:33 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 8.6094e-02 eta: 2 days, 18:36:37 time: 0.2803 data_time: 0.0191 memory: 6334 grad_norm: 2.3119 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1036 loss: 3.1036 2022/08/13 16:24:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:25:01 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 8.6162e-02 eta: 2 days, 18:36:10 time: 0.2778 data_time: 0.0163 memory: 6334 grad_norm: 2.2684 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4799 loss: 3.4799 2022/08/13 16:25:29 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 8.6230e-02 eta: 2 days, 18:35:41 time: 0.2779 data_time: 0.0164 memory: 6334 grad_norm: 2.2427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3170 loss: 3.3170 2022/08/13 16:25:58 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 8.6298e-02 eta: 2 days, 18:35:13 time: 0.2849 data_time: 0.0184 memory: 6334 grad_norm: 2.2150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1212 loss: 3.1212 2022/08/13 16:26:26 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 8.6367e-02 eta: 2 days, 18:34:45 time: 0.2802 data_time: 0.0174 memory: 6334 grad_norm: 2.2425 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5721 loss: 3.5721 2022/08/13 16:26:55 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 8.6435e-02 eta: 2 days, 18:34:19 time: 0.2937 data_time: 0.0165 memory: 6334 grad_norm: 2.2736 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3696 loss: 3.3696 2022/08/13 16:27:23 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 8.6503e-02 eta: 2 days, 18:33:50 time: 0.2798 data_time: 0.0175 memory: 6334 grad_norm: 2.2833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1628 loss: 3.1628 2022/08/13 16:27:51 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 8.6571e-02 eta: 2 days, 18:33:22 time: 0.2799 data_time: 0.0169 memory: 6334 grad_norm: 2.2102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3367 loss: 3.3367 2022/08/13 16:28:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:28:07 - mmengine - INFO - Epoch(train) [30][3757/3757] lr: 8.6610e-02 eta: 2 days, 18:33:11 time: 0.2614 data_time: 0.0159 memory: 6334 grad_norm: 2.3620 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.0672 loss: 3.0672 2022/08/13 16:28:29 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:00:46 time: 0.2212 data_time: 0.1246 memory: 1152 2022/08/13 16:28:50 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:19 time: 0.1799 data_time: 0.0823 memory: 1152 2022/08/13 16:29:11 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:02 time: 0.2164 data_time: 0.1197 memory: 1152 2022/08/13 16:29:15 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.3483 acc/top5: 0.6211 acc/mean1: 0.3482 2022/08/13 16:29:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/13 16:29:17 - mmengine - INFO - The best checkpoint with 0.3483 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/13 16:29:47 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 8.6484e-02 eta: 2 days, 18:32:12 time: 0.2793 data_time: 0.0163 memory: 6334 grad_norm: 2.3568 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2466 loss: 3.2466 2022/08/13 16:30:15 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 8.6552e-02 eta: 2 days, 18:31:44 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.2511 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1857 loss: 3.1857 2022/08/13 16:30:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:30:43 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 8.6620e-02 eta: 2 days, 18:31:16 time: 0.2796 data_time: 0.0181 memory: 6334 grad_norm: 2.1989 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1579 loss: 3.1579 2022/08/13 16:31:12 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 8.6688e-02 eta: 2 days, 18:30:47 time: 0.2792 data_time: 0.0178 memory: 6334 grad_norm: 2.2827 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2375 loss: 3.2375 2022/08/13 16:31:40 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 8.6757e-02 eta: 2 days, 18:30:19 time: 0.2859 data_time: 0.0178 memory: 6334 grad_norm: 2.3521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2933 loss: 3.2933 2022/08/13 16:32:08 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 8.6825e-02 eta: 2 days, 18:29:50 time: 0.2789 data_time: 0.0177 memory: 6334 grad_norm: 2.2630 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1586 loss: 3.1586 2022/08/13 16:32:36 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 8.6893e-02 eta: 2 days, 18:29:22 time: 0.2844 data_time: 0.0180 memory: 6334 grad_norm: 2.2506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9302 loss: 2.9302 2022/08/13 16:33:04 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 8.6961e-02 eta: 2 days, 18:28:53 time: 0.2774 data_time: 0.0160 memory: 6334 grad_norm: 2.2873 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9915 loss: 2.9915 2022/08/13 16:33:33 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 8.7029e-02 eta: 2 days, 18:28:25 time: 0.2858 data_time: 0.0180 memory: 6334 grad_norm: 2.2430 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4258 loss: 3.4258 2022/08/13 16:34:01 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 8.7097e-02 eta: 2 days, 18:27:58 time: 0.2851 data_time: 0.0170 memory: 6334 grad_norm: 2.2338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1096 loss: 3.1096 2022/08/13 16:34:30 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 8.7165e-02 eta: 2 days, 18:27:31 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.3128 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3817 loss: 3.3817 2022/08/13 16:34:58 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 8.7233e-02 eta: 2 days, 18:27:05 time: 0.2891 data_time: 0.0200 memory: 6334 grad_norm: 2.2235 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0750 loss: 3.0750 2022/08/13 16:35:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:35:26 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 8.7301e-02 eta: 2 days, 18:26:37 time: 0.2810 data_time: 0.0179 memory: 6334 grad_norm: 2.2335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2781 loss: 3.2781 2022/08/13 16:35:55 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 8.7369e-02 eta: 2 days, 18:26:10 time: 0.2837 data_time: 0.0178 memory: 6334 grad_norm: 2.2028 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4643 loss: 3.4643 2022/08/13 16:36:23 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 8.7438e-02 eta: 2 days, 18:25:41 time: 0.2789 data_time: 0.0173 memory: 6334 grad_norm: 2.2744 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2400 loss: 3.2400 2022/08/13 16:36:51 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 8.7506e-02 eta: 2 days, 18:25:12 time: 0.2802 data_time: 0.0171 memory: 6334 grad_norm: 2.2757 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2288 loss: 3.2288 2022/08/13 16:37:19 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 8.7574e-02 eta: 2 days, 18:24:45 time: 0.2919 data_time: 0.0167 memory: 6334 grad_norm: 2.2182 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3809 loss: 3.3809 2022/08/13 16:37:48 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 8.7642e-02 eta: 2 days, 18:24:16 time: 0.2800 data_time: 0.0176 memory: 6334 grad_norm: 2.2788 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0057 loss: 3.0057 2022/08/13 16:38:16 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 8.7710e-02 eta: 2 days, 18:23:50 time: 0.2977 data_time: 0.0182 memory: 6334 grad_norm: 2.2219 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2773 loss: 3.2773 2022/08/13 16:38:44 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 8.7778e-02 eta: 2 days, 18:23:20 time: 0.2783 data_time: 0.0169 memory: 6334 grad_norm: 2.2564 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3320 loss: 3.3320 2022/08/13 16:39:13 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 8.7846e-02 eta: 2 days, 18:22:53 time: 0.2792 data_time: 0.0168 memory: 6334 grad_norm: 2.2806 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5120 loss: 3.5120 2022/08/13 16:39:41 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 8.7914e-02 eta: 2 days, 18:22:24 time: 0.2783 data_time: 0.0170 memory: 6334 grad_norm: 2.2497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2652 loss: 3.2652 2022/08/13 16:40:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:40:09 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 8.7982e-02 eta: 2 days, 18:21:57 time: 0.2866 data_time: 0.0181 memory: 6334 grad_norm: 2.2463 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1644 loss: 3.1644 2022/08/13 16:40:37 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 8.8050e-02 eta: 2 days, 18:21:28 time: 0.2826 data_time: 0.0197 memory: 6334 grad_norm: 2.2845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2644 loss: 3.2644 2022/08/13 16:41:06 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 8.8118e-02 eta: 2 days, 18:20:59 time: 0.2769 data_time: 0.0169 memory: 6334 grad_norm: 2.2754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9625 loss: 2.9625 2022/08/13 16:41:34 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 8.8187e-02 eta: 2 days, 18:20:30 time: 0.2790 data_time: 0.0170 memory: 6334 grad_norm: 2.3060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0579 loss: 3.0579 2022/08/13 16:42:02 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 8.8255e-02 eta: 2 days, 18:20:02 time: 0.2822 data_time: 0.0168 memory: 6334 grad_norm: 2.2344 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2085 loss: 3.2085 2022/08/13 16:42:30 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 8.8323e-02 eta: 2 days, 18:19:34 time: 0.2915 data_time: 0.0182 memory: 6334 grad_norm: 2.2696 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2529 loss: 3.2529 2022/08/13 16:42:59 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 8.8391e-02 eta: 2 days, 18:19:06 time: 0.2785 data_time: 0.0166 memory: 6334 grad_norm: 2.1841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2984 loss: 3.2984 2022/08/13 16:43:27 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 8.8459e-02 eta: 2 days, 18:18:38 time: 0.2852 data_time: 0.0173 memory: 6334 grad_norm: 2.1929 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4482 loss: 3.4482 2022/08/13 16:43:55 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 8.8527e-02 eta: 2 days, 18:18:10 time: 0.2796 data_time: 0.0161 memory: 6334 grad_norm: 2.2265 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3323 loss: 3.3323 2022/08/13 16:44:23 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 8.8595e-02 eta: 2 days, 18:17:41 time: 0.2792 data_time: 0.0169 memory: 6334 grad_norm: 2.2570 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1815 loss: 3.1815 2022/08/13 16:44:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:44:52 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 8.8663e-02 eta: 2 days, 18:17:18 time: 0.2766 data_time: 0.0164 memory: 6334 grad_norm: 2.2159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3409 loss: 3.3409 2022/08/13 16:45:21 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 8.8731e-02 eta: 2 days, 18:16:51 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.2163 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1549 loss: 3.1549 2022/08/13 16:45:49 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 8.8799e-02 eta: 2 days, 18:16:24 time: 0.2963 data_time: 0.0185 memory: 6334 grad_norm: 2.2190 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4655 loss: 3.4655 2022/08/13 16:46:17 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 8.8868e-02 eta: 2 days, 18:15:56 time: 0.2810 data_time: 0.0187 memory: 6334 grad_norm: 2.2930 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3115 loss: 3.3115 2022/08/13 16:46:46 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 8.8936e-02 eta: 2 days, 18:15:28 time: 0.2781 data_time: 0.0165 memory: 6334 grad_norm: 2.2211 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2835 loss: 3.2835 2022/08/13 16:47:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:47:01 - mmengine - INFO - Epoch(train) [31][3757/3757] lr: 8.8974e-02 eta: 2 days, 18:15:16 time: 0.2610 data_time: 0.0142 memory: 6334 grad_norm: 2.2558 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.2635 loss: 3.2635 2022/08/13 16:47:32 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 8.8836e-02 eta: 2 days, 18:14:24 time: 0.2798 data_time: 0.0166 memory: 6334 grad_norm: 2.3030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2581 loss: 3.2581 2022/08/13 16:48:00 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 8.8904e-02 eta: 2 days, 18:13:56 time: 0.2855 data_time: 0.0180 memory: 6334 grad_norm: 2.2787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9933 loss: 2.9933 2022/08/13 16:48:29 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 8.8972e-02 eta: 2 days, 18:13:30 time: 0.3003 data_time: 0.0183 memory: 6334 grad_norm: 2.3049 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3631 loss: 3.3631 2022/08/13 16:48:57 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 8.9040e-02 eta: 2 days, 18:13:01 time: 0.2798 data_time: 0.0170 memory: 6334 grad_norm: 2.2719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4304 loss: 3.4304 2022/08/13 16:49:25 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 8.9108e-02 eta: 2 days, 18:12:33 time: 0.2795 data_time: 0.0164 memory: 6334 grad_norm: 2.2494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9017 loss: 2.9017 2022/08/13 16:49:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:49:53 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 8.9176e-02 eta: 2 days, 18:12:06 time: 0.2804 data_time: 0.0181 memory: 6334 grad_norm: 2.1931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3971 loss: 3.3971 2022/08/13 16:50:22 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 8.9244e-02 eta: 2 days, 18:11:39 time: 0.2767 data_time: 0.0162 memory: 6334 grad_norm: 2.2379 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5018 loss: 3.5018 2022/08/13 16:50:50 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 8.9311e-02 eta: 2 days, 18:11:11 time: 0.2868 data_time: 0.0180 memory: 6334 grad_norm: 2.2061 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0435 loss: 3.0435 2022/08/13 16:51:18 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 8.9379e-02 eta: 2 days, 18:10:42 time: 0.2800 data_time: 0.0171 memory: 6334 grad_norm: 2.2683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2746 loss: 3.2746 2022/08/13 16:51:47 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 8.9447e-02 eta: 2 days, 18:10:14 time: 0.2818 data_time: 0.0175 memory: 6334 grad_norm: 2.2979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2755 loss: 3.2755 2022/08/13 16:52:15 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 8.9515e-02 eta: 2 days, 18:09:45 time: 0.2796 data_time: 0.0176 memory: 6334 grad_norm: 2.2016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4077 loss: 3.4077 2022/08/13 16:52:43 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 8.9583e-02 eta: 2 days, 18:09:15 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.2254 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6290 loss: 3.6290 2022/08/13 16:53:11 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 8.9651e-02 eta: 2 days, 18:08:48 time: 0.2812 data_time: 0.0180 memory: 6334 grad_norm: 2.2594 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2935 loss: 3.2935 2022/08/13 16:53:40 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 8.9719e-02 eta: 2 days, 18:08:21 time: 0.2813 data_time: 0.0175 memory: 6334 grad_norm: 2.2166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2380 loss: 3.2380 2022/08/13 16:54:08 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 8.9787e-02 eta: 2 days, 18:07:53 time: 0.2853 data_time: 0.0183 memory: 6334 grad_norm: 2.2287 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4233 loss: 3.4233 2022/08/13 16:54:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:54:36 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 8.9855e-02 eta: 2 days, 18:07:25 time: 0.2782 data_time: 0.0168 memory: 6334 grad_norm: 2.2418 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4662 loss: 3.4662 2022/08/13 16:55:04 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 8.9923e-02 eta: 2 days, 18:06:56 time: 0.2782 data_time: 0.0202 memory: 6334 grad_norm: 2.1962 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1854 loss: 3.1854 2022/08/13 16:55:33 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 8.9991e-02 eta: 2 days, 18:06:27 time: 0.2805 data_time: 0.0177 memory: 6334 grad_norm: 2.2579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4190 loss: 3.4190 2022/08/13 16:56:01 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 9.0059e-02 eta: 2 days, 18:05:59 time: 0.2821 data_time: 0.0171 memory: 6334 grad_norm: 2.3050 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1797 loss: 3.1797 2022/08/13 16:56:30 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 9.0127e-02 eta: 2 days, 18:05:36 time: 0.2835 data_time: 0.0169 memory: 6334 grad_norm: 2.2206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2639 loss: 3.2639 2022/08/13 16:56:59 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 9.0195e-02 eta: 2 days, 18:05:16 time: 0.2832 data_time: 0.0170 memory: 6334 grad_norm: 2.3315 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4583 loss: 3.4583 2022/08/13 16:57:28 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 9.0263e-02 eta: 2 days, 18:04:50 time: 0.2845 data_time: 0.0182 memory: 6334 grad_norm: 2.1992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3134 loss: 3.3134 2022/08/13 16:57:57 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 9.0331e-02 eta: 2 days, 18:04:31 time: 0.2798 data_time: 0.0169 memory: 6334 grad_norm: 2.2551 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5344 loss: 3.5344 2022/08/13 16:58:26 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 9.0398e-02 eta: 2 days, 18:04:08 time: 0.2791 data_time: 0.0180 memory: 6334 grad_norm: 2.2709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1611 loss: 3.1611 2022/08/13 16:58:55 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 9.0466e-02 eta: 2 days, 18:03:41 time: 0.2802 data_time: 0.0174 memory: 6334 grad_norm: 2.2904 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3356 loss: 3.3356 2022/08/13 16:59:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 16:59:23 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 9.0534e-02 eta: 2 days, 18:03:14 time: 0.2795 data_time: 0.0166 memory: 6334 grad_norm: 2.2497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2256 loss: 3.2256 2022/08/13 16:59:52 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 9.0602e-02 eta: 2 days, 18:02:48 time: 0.2936 data_time: 0.0179 memory: 6334 grad_norm: 2.2866 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5910 loss: 3.5910 2022/08/13 17:00:20 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 9.0670e-02 eta: 2 days, 18:02:22 time: 0.2792 data_time: 0.0176 memory: 6334 grad_norm: 2.2990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1029 loss: 3.1029 2022/08/13 17:00:49 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 9.0738e-02 eta: 2 days, 18:01:54 time: 0.2867 data_time: 0.0196 memory: 6334 grad_norm: 2.2962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.5483 loss: 3.5483 2022/08/13 17:01:17 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 9.0806e-02 eta: 2 days, 18:01:25 time: 0.2796 data_time: 0.0182 memory: 6334 grad_norm: 2.2722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2593 loss: 3.2593 2022/08/13 17:01:45 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 9.0874e-02 eta: 2 days, 18:00:56 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.2258 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3298 loss: 3.3298 2022/08/13 17:02:14 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 9.0942e-02 eta: 2 days, 18:00:30 time: 0.2763 data_time: 0.0173 memory: 6334 grad_norm: 2.1640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4533 loss: 3.4533 2022/08/13 17:02:42 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 9.1010e-02 eta: 2 days, 18:00:02 time: 0.2785 data_time: 0.0175 memory: 6334 grad_norm: 2.2016 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4098 loss: 3.4098 2022/08/13 17:03:11 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 9.1078e-02 eta: 2 days, 17:59:37 time: 0.3067 data_time: 0.0184 memory: 6334 grad_norm: 2.3280 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4864 loss: 3.4864 2022/08/13 17:03:39 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 9.1146e-02 eta: 2 days, 17:59:09 time: 0.2820 data_time: 0.0180 memory: 6334 grad_norm: 2.2091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0301 loss: 3.0301 2022/08/13 17:03:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:04:07 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 9.1214e-02 eta: 2 days, 17:58:40 time: 0.2787 data_time: 0.0175 memory: 6334 grad_norm: 2.2609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9995 loss: 2.9995 2022/08/13 17:04:35 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 9.1282e-02 eta: 2 days, 17:58:12 time: 0.2794 data_time: 0.0171 memory: 6334 grad_norm: 2.1574 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1394 loss: 3.1394 2022/08/13 17:04:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:04:52 - mmengine - INFO - Epoch(train) [32][3757/3757] lr: 9.1320e-02 eta: 2 days, 17:58:00 time: 0.2863 data_time: 0.0159 memory: 6334 grad_norm: 2.2589 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 3.2375 loss: 3.2375 2022/08/13 17:04:52 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/13 17:05:24 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 9.1169e-02 eta: 2 days, 17:57:00 time: 0.2789 data_time: 0.0182 memory: 6334 grad_norm: 2.2200 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3262 loss: 3.3262 2022/08/13 17:05:52 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 9.1237e-02 eta: 2 days, 17:56:34 time: 0.2891 data_time: 0.0180 memory: 6334 grad_norm: 2.3139 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0150 loss: 3.0150 2022/08/13 17:06:21 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 9.1305e-02 eta: 2 days, 17:56:08 time: 0.2925 data_time: 0.0183 memory: 6334 grad_norm: 2.2011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0133 loss: 3.0133 2022/08/13 17:06:49 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 9.1372e-02 eta: 2 days, 17:55:40 time: 0.2803 data_time: 0.0175 memory: 6334 grad_norm: 2.2653 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7649 loss: 3.7649 2022/08/13 17:07:18 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 9.1440e-02 eta: 2 days, 17:55:15 time: 0.2869 data_time: 0.0186 memory: 6334 grad_norm: 2.2360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1642 loss: 3.1642 2022/08/13 17:07:46 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 9.1508e-02 eta: 2 days, 17:54:46 time: 0.2783 data_time: 0.0167 memory: 6334 grad_norm: 2.2132 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4860 loss: 3.4860 2022/08/13 17:08:15 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 9.1576e-02 eta: 2 days, 17:54:20 time: 0.2806 data_time: 0.0175 memory: 6334 grad_norm: 2.2179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1597 loss: 3.1597 2022/08/13 17:08:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:08:43 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 9.1644e-02 eta: 2 days, 17:53:52 time: 0.2803 data_time: 0.0161 memory: 6334 grad_norm: 2.3021 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3776 loss: 3.3776 2022/08/13 17:09:12 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 9.1711e-02 eta: 2 days, 17:53:26 time: 0.2803 data_time: 0.0173 memory: 6334 grad_norm: 2.2230 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4325 loss: 3.4325 2022/08/13 17:09:40 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 9.1779e-02 eta: 2 days, 17:52:59 time: 0.2918 data_time: 0.0185 memory: 6334 grad_norm: 2.2327 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0122 loss: 3.0122 2022/08/13 17:10:08 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 9.1847e-02 eta: 2 days, 17:52:31 time: 0.2856 data_time: 0.0178 memory: 6334 grad_norm: 2.2442 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0286 loss: 3.0286 2022/08/13 17:10:37 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 9.1915e-02 eta: 2 days, 17:52:03 time: 0.2789 data_time: 0.0174 memory: 6334 grad_norm: 2.2193 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3218 loss: 3.3218 2022/08/13 17:11:05 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 9.1982e-02 eta: 2 days, 17:51:35 time: 0.2761 data_time: 0.0171 memory: 6334 grad_norm: 2.2617 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3193 loss: 3.3193 2022/08/13 17:11:33 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 9.2050e-02 eta: 2 days, 17:51:07 time: 0.2794 data_time: 0.0177 memory: 6334 grad_norm: 2.2884 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2480 loss: 3.2480 2022/08/13 17:12:02 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 9.2118e-02 eta: 2 days, 17:50:40 time: 0.2857 data_time: 0.0171 memory: 6334 grad_norm: 2.2152 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2247 loss: 3.2247 2022/08/13 17:12:30 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 9.2186e-02 eta: 2 days, 17:50:13 time: 0.2785 data_time: 0.0178 memory: 6334 grad_norm: 2.1963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1136 loss: 3.1136 2022/08/13 17:12:58 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 9.2254e-02 eta: 2 days, 17:49:46 time: 0.2821 data_time: 0.0177 memory: 6334 grad_norm: 2.3089 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3583 loss: 3.3583 2022/08/13 17:13:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:13:27 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 9.2321e-02 eta: 2 days, 17:49:18 time: 0.2774 data_time: 0.0172 memory: 6334 grad_norm: 2.2477 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0734 loss: 3.0734 2022/08/13 17:13:56 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 9.2389e-02 eta: 2 days, 17:48:57 time: 0.2799 data_time: 0.0179 memory: 6334 grad_norm: 2.2207 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1398 loss: 3.1398 2022/08/13 17:14:25 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 9.2457e-02 eta: 2 days, 17:48:30 time: 0.2786 data_time: 0.0169 memory: 6334 grad_norm: 2.2253 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5344 loss: 3.5344 2022/08/13 17:14:53 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 9.2525e-02 eta: 2 days, 17:48:06 time: 0.2798 data_time: 0.0166 memory: 6334 grad_norm: 2.2267 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5709 loss: 3.5709 2022/08/13 17:15:23 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 9.2592e-02 eta: 2 days, 17:47:45 time: 0.3209 data_time: 0.0182 memory: 6334 grad_norm: 2.2656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3288 loss: 3.3288 2022/08/13 17:15:51 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 9.2660e-02 eta: 2 days, 17:47:17 time: 0.2792 data_time: 0.0180 memory: 6334 grad_norm: 2.2204 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5109 loss: 3.5109 2022/08/13 17:16:19 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 9.2728e-02 eta: 2 days, 17:46:50 time: 0.2826 data_time: 0.0194 memory: 6334 grad_norm: 2.2320 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2935 loss: 3.2935 2022/08/13 17:16:48 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 9.2796e-02 eta: 2 days, 17:46:21 time: 0.2799 data_time: 0.0169 memory: 6334 grad_norm: 2.2825 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4620 loss: 3.4620 2022/08/13 17:17:16 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 9.2863e-02 eta: 2 days, 17:45:55 time: 0.2771 data_time: 0.0165 memory: 6334 grad_norm: 2.2363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2974 loss: 3.2974 2022/08/13 17:17:45 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 9.2931e-02 eta: 2 days, 17:45:30 time: 0.2795 data_time: 0.0204 memory: 6334 grad_norm: 2.2075 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0534 loss: 3.0534 2022/08/13 17:18:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:18:13 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 9.2999e-02 eta: 2 days, 17:45:02 time: 0.2805 data_time: 0.0177 memory: 6334 grad_norm: 2.2830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4195 loss: 3.4195 2022/08/13 17:18:42 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 9.3067e-02 eta: 2 days, 17:44:35 time: 0.2900 data_time: 0.0177 memory: 6334 grad_norm: 2.2637 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9650 loss: 2.9650 2022/08/13 17:19:10 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 9.3135e-02 eta: 2 days, 17:44:06 time: 0.2802 data_time: 0.0170 memory: 6334 grad_norm: 2.1904 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4716 loss: 3.4716 2022/08/13 17:19:38 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 9.3202e-02 eta: 2 days, 17:43:38 time: 0.2795 data_time: 0.0168 memory: 6334 grad_norm: 2.2328 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1243 loss: 3.1243 2022/08/13 17:20:08 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 9.3270e-02 eta: 2 days, 17:43:18 time: 0.2798 data_time: 0.0176 memory: 6334 grad_norm: 2.2737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.3874 loss: 3.3874 2022/08/13 17:20:37 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 9.3338e-02 eta: 2 days, 17:42:55 time: 0.2805 data_time: 0.0175 memory: 6334 grad_norm: 2.2389 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2970 loss: 3.2970 2022/08/13 17:21:05 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 9.3406e-02 eta: 2 days, 17:42:28 time: 0.2793 data_time: 0.0167 memory: 6334 grad_norm: 2.2278 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1187 loss: 3.1187 2022/08/13 17:21:33 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 9.3473e-02 eta: 2 days, 17:41:59 time: 0.2798 data_time: 0.0178 memory: 6334 grad_norm: 2.1997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4622 loss: 3.4622 2022/08/13 17:22:02 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 9.3541e-02 eta: 2 days, 17:41:35 time: 0.2868 data_time: 0.0172 memory: 6334 grad_norm: 2.1744 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0687 loss: 3.0687 2022/08/13 17:22:30 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 9.3609e-02 eta: 2 days, 17:41:06 time: 0.2796 data_time: 0.0174 memory: 6334 grad_norm: 2.2092 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4089 loss: 3.4089 2022/08/13 17:22:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:22:46 - mmengine - INFO - Epoch(train) [33][3757/3757] lr: 9.3648e-02 eta: 2 days, 17:40:55 time: 0.2587 data_time: 0.0142 memory: 6334 grad_norm: 2.2698 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.3949 loss: 3.3949 2022/08/13 17:22:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:23:16 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 9.3483e-02 eta: 2 days, 17:40:03 time: 0.2773 data_time: 0.0162 memory: 6334 grad_norm: 2.1695 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3183 loss: 3.3183 2022/08/13 17:23:45 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 9.3551e-02 eta: 2 days, 17:39:36 time: 0.2913 data_time: 0.0190 memory: 6334 grad_norm: 2.2026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4977 loss: 3.4977 2022/08/13 17:24:13 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 9.3618e-02 eta: 2 days, 17:39:09 time: 0.2808 data_time: 0.0174 memory: 6334 grad_norm: 2.1934 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.2876 loss: 3.2876 2022/08/13 17:24:42 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 9.3686e-02 eta: 2 days, 17:38:41 time: 0.2870 data_time: 0.0192 memory: 6334 grad_norm: 2.2489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3525 loss: 3.3525 2022/08/13 17:25:10 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 9.3754e-02 eta: 2 days, 17:38:12 time: 0.2809 data_time: 0.0177 memory: 6334 grad_norm: 2.1443 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4678 loss: 3.4678 2022/08/13 17:25:38 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 9.3821e-02 eta: 2 days, 17:37:43 time: 0.2796 data_time: 0.0175 memory: 6334 grad_norm: 2.2539 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4117 loss: 3.4117 2022/08/13 17:26:06 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 9.3889e-02 eta: 2 days, 17:37:14 time: 0.2802 data_time: 0.0168 memory: 6334 grad_norm: 2.2150 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3599 loss: 3.3599 2022/08/13 17:26:34 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 9.3957e-02 eta: 2 days, 17:36:46 time: 0.2796 data_time: 0.0178 memory: 6334 grad_norm: 2.2394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9458 loss: 2.9458 2022/08/13 17:27:03 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 9.4024e-02 eta: 2 days, 17:36:19 time: 0.2838 data_time: 0.0187 memory: 6334 grad_norm: 2.2560 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3075 loss: 3.3075 2022/08/13 17:27:31 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 9.4092e-02 eta: 2 days, 17:35:50 time: 0.2791 data_time: 0.0184 memory: 6334 grad_norm: 2.2123 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8989 loss: 2.8989 2022/08/13 17:27:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:27:59 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 9.4159e-02 eta: 2 days, 17:35:23 time: 0.2790 data_time: 0.0174 memory: 6334 grad_norm: 2.2017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2402 loss: 3.2402 2022/08/13 17:28:28 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 9.4227e-02 eta: 2 days, 17:34:54 time: 0.2795 data_time: 0.0170 memory: 6334 grad_norm: 2.1959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4385 loss: 3.4385 2022/08/13 17:28:56 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 9.4295e-02 eta: 2 days, 17:34:26 time: 0.2803 data_time: 0.0174 memory: 6334 grad_norm: 2.2023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9747 loss: 2.9747 2022/08/13 17:29:24 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 9.4362e-02 eta: 2 days, 17:33:58 time: 0.2838 data_time: 0.0193 memory: 6334 grad_norm: 2.2419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3709 loss: 3.3709 2022/08/13 17:29:53 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 9.4430e-02 eta: 2 days, 17:33:31 time: 0.2841 data_time: 0.0177 memory: 6334 grad_norm: 2.1991 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.2095 loss: 3.2095 2022/08/13 17:30:21 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 9.4497e-02 eta: 2 days, 17:33:03 time: 0.2835 data_time: 0.0189 memory: 6334 grad_norm: 2.2286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3257 loss: 3.3257 2022/08/13 17:30:49 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 9.4565e-02 eta: 2 days, 17:32:35 time: 0.2779 data_time: 0.0167 memory: 6334 grad_norm: 2.1928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2310 loss: 3.2310 2022/08/13 17:31:17 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 9.4633e-02 eta: 2 days, 17:32:06 time: 0.2778 data_time: 0.0172 memory: 6334 grad_norm: 2.2089 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2253 loss: 3.2253 2022/08/13 17:31:46 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 9.4700e-02 eta: 2 days, 17:31:38 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.1965 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3474 loss: 3.3474 2022/08/13 17:32:14 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 9.4768e-02 eta: 2 days, 17:31:09 time: 0.2819 data_time: 0.0180 memory: 6334 grad_norm: 2.2033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2241 loss: 3.2241 2022/08/13 17:32:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:32:43 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 9.4835e-02 eta: 2 days, 17:30:44 time: 0.2882 data_time: 0.0182 memory: 6334 grad_norm: 2.1947 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3381 loss: 3.3381 2022/08/13 17:33:11 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 9.4903e-02 eta: 2 days, 17:30:15 time: 0.2786 data_time: 0.0159 memory: 6334 grad_norm: 2.2135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3473 loss: 3.3473 2022/08/13 17:33:39 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 9.4971e-02 eta: 2 days, 17:29:47 time: 0.2790 data_time: 0.0164 memory: 6334 grad_norm: 2.2267 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2748 loss: 3.2748 2022/08/13 17:34:07 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 9.5038e-02 eta: 2 days, 17:29:19 time: 0.2792 data_time: 0.0186 memory: 6334 grad_norm: 2.1687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5350 loss: 3.5350 2022/08/13 17:34:36 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 9.5106e-02 eta: 2 days, 17:28:52 time: 0.2885 data_time: 0.0173 memory: 6334 grad_norm: 2.1704 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4520 loss: 3.4520 2022/08/13 17:35:04 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 9.5173e-02 eta: 2 days, 17:28:24 time: 0.2843 data_time: 0.0169 memory: 6334 grad_norm: 2.1242 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2176 loss: 3.2176 2022/08/13 17:35:32 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 9.5241e-02 eta: 2 days, 17:27:56 time: 0.2824 data_time: 0.0187 memory: 6334 grad_norm: 2.2013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3371 loss: 3.3371 2022/08/13 17:36:01 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 9.5309e-02 eta: 2 days, 17:27:29 time: 0.2812 data_time: 0.0171 memory: 6334 grad_norm: 2.1419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1200 loss: 3.1200 2022/08/13 17:36:29 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 9.5376e-02 eta: 2 days, 17:27:01 time: 0.2789 data_time: 0.0172 memory: 6334 grad_norm: 2.1726 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3321 loss: 3.3321 2022/08/13 17:36:57 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 9.5444e-02 eta: 2 days, 17:26:33 time: 0.2791 data_time: 0.0161 memory: 6334 grad_norm: 2.1589 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5571 loss: 3.5571 2022/08/13 17:37:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:37:26 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 9.5512e-02 eta: 2 days, 17:26:04 time: 0.2801 data_time: 0.0180 memory: 6334 grad_norm: 2.1865 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8496 loss: 2.8496 2022/08/13 17:37:54 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 9.5579e-02 eta: 2 days, 17:25:38 time: 0.2978 data_time: 0.0186 memory: 6334 grad_norm: 2.2246 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4963 loss: 3.4963 2022/08/13 17:38:23 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 9.5647e-02 eta: 2 days, 17:25:12 time: 0.2869 data_time: 0.0173 memory: 6334 grad_norm: 2.2147 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2497 loss: 3.2497 2022/08/13 17:38:51 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 9.5714e-02 eta: 2 days, 17:24:44 time: 0.2854 data_time: 0.0181 memory: 6334 grad_norm: 2.1677 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4213 loss: 3.4213 2022/08/13 17:39:19 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 9.5782e-02 eta: 2 days, 17:24:14 time: 0.2793 data_time: 0.0170 memory: 6334 grad_norm: 2.2673 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2693 loss: 3.2693 2022/08/13 17:39:48 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 9.5850e-02 eta: 2 days, 17:23:46 time: 0.2821 data_time: 0.0193 memory: 6334 grad_norm: 2.1625 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4870 loss: 3.4870 2022/08/13 17:40:16 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 9.5917e-02 eta: 2 days, 17:23:18 time: 0.2799 data_time: 0.0180 memory: 6334 grad_norm: 2.2208 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8337 loss: 2.8337 2022/08/13 17:40:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:40:31 - mmengine - INFO - Epoch(train) [34][3757/3757] lr: 9.5956e-02 eta: 2 days, 17:23:07 time: 0.2579 data_time: 0.0145 memory: 6334 grad_norm: 2.2872 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.4585 loss: 3.4585 2022/08/13 17:41:02 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 9.5710e-02 eta: 2 days, 17:22:15 time: 0.2822 data_time: 0.0178 memory: 6334 grad_norm: 2.2029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2186 loss: 3.2186 2022/08/13 17:41:30 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 9.5710e-02 eta: 2 days, 17:21:47 time: 0.2787 data_time: 0.0179 memory: 6334 grad_norm: 2.1734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3141 loss: 3.3141 2022/08/13 17:41:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:41:58 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 9.5710e-02 eta: 2 days, 17:21:20 time: 0.2783 data_time: 0.0172 memory: 6334 grad_norm: 2.2579 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4292 loss: 3.4292 2022/08/13 17:42:27 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 9.5710e-02 eta: 2 days, 17:20:55 time: 0.2795 data_time: 0.0184 memory: 6334 grad_norm: 2.1863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4118 loss: 3.4118 2022/08/13 17:42:55 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 9.5710e-02 eta: 2 days, 17:20:26 time: 0.2804 data_time: 0.0180 memory: 6334 grad_norm: 2.2085 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.5294 loss: 3.5294 2022/08/13 17:43:24 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 9.5710e-02 eta: 2 days, 17:19:59 time: 0.2894 data_time: 0.0194 memory: 6334 grad_norm: 2.1694 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2300 loss: 3.2300 2022/08/13 17:43:52 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 9.5710e-02 eta: 2 days, 17:19:31 time: 0.2800 data_time: 0.0169 memory: 6334 grad_norm: 2.1915 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3369 loss: 3.3369 2022/08/13 17:44:21 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 9.5710e-02 eta: 2 days, 17:19:06 time: 0.2796 data_time: 0.0177 memory: 6334 grad_norm: 2.2454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3936 loss: 3.3936 2022/08/13 17:44:50 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 9.5710e-02 eta: 2 days, 17:18:40 time: 0.2793 data_time: 0.0166 memory: 6334 grad_norm: 2.2019 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4916 loss: 3.4916 2022/08/13 17:45:18 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 9.5710e-02 eta: 2 days, 17:18:14 time: 0.2795 data_time: 0.0174 memory: 6334 grad_norm: 2.2348 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4818 loss: 3.4818 2022/08/13 17:45:47 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 9.5710e-02 eta: 2 days, 17:17:48 time: 0.2909 data_time: 0.0193 memory: 6334 grad_norm: 2.2231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7014 loss: 3.7014 2022/08/13 17:46:15 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 9.5710e-02 eta: 2 days, 17:17:23 time: 0.2810 data_time: 0.0184 memory: 6334 grad_norm: 2.2173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9964 loss: 2.9964 2022/08/13 17:46:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:46:44 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 9.5710e-02 eta: 2 days, 17:16:57 time: 0.2821 data_time: 0.0183 memory: 6334 grad_norm: 2.1910 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6278 loss: 3.6278 2022/08/13 17:47:13 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 9.5710e-02 eta: 2 days, 17:16:30 time: 0.2909 data_time: 0.0180 memory: 6334 grad_norm: 2.2107 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9162 loss: 2.9162 2022/08/13 17:47:41 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 9.5710e-02 eta: 2 days, 17:16:01 time: 0.2779 data_time: 0.0166 memory: 6334 grad_norm: 2.1336 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1631 loss: 3.1631 2022/08/13 17:48:09 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 9.5710e-02 eta: 2 days, 17:15:33 time: 0.2798 data_time: 0.0178 memory: 6334 grad_norm: 2.1970 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4564 loss: 3.4564 2022/08/13 17:48:38 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 9.5710e-02 eta: 2 days, 17:15:07 time: 0.2790 data_time: 0.0173 memory: 6334 grad_norm: 2.2233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2147 loss: 3.2147 2022/08/13 17:49:06 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 9.5710e-02 eta: 2 days, 17:14:40 time: 0.2788 data_time: 0.0181 memory: 6334 grad_norm: 2.1877 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0891 loss: 3.0891 2022/08/13 17:49:35 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 9.5710e-02 eta: 2 days, 17:14:13 time: 0.2876 data_time: 0.0187 memory: 6334 grad_norm: 2.2324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9479 loss: 2.9479 2022/08/13 17:50:03 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 9.5710e-02 eta: 2 days, 17:13:44 time: 0.2780 data_time: 0.0178 memory: 6334 grad_norm: 2.1812 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0054 loss: 3.0054 2022/08/13 17:50:31 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 9.5710e-02 eta: 2 days, 17:13:17 time: 0.2795 data_time: 0.0163 memory: 6334 grad_norm: 2.2224 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5104 loss: 3.5104 2022/08/13 17:51:00 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 9.5710e-02 eta: 2 days, 17:12:50 time: 0.2768 data_time: 0.0161 memory: 6334 grad_norm: 2.1915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3026 loss: 3.3026 2022/08/13 17:51:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:51:28 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 9.5710e-02 eta: 2 days, 17:12:22 time: 0.2783 data_time: 0.0176 memory: 6334 grad_norm: 2.1715 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2506 loss: 3.2506 2022/08/13 17:51:57 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 9.5710e-02 eta: 2 days, 17:11:56 time: 0.3033 data_time: 0.0174 memory: 6334 grad_norm: 2.2068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0992 loss: 3.0992 2022/08/13 17:52:25 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 9.5710e-02 eta: 2 days, 17:11:28 time: 0.2802 data_time: 0.0172 memory: 6334 grad_norm: 2.1758 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3456 loss: 3.3456 2022/08/13 17:52:53 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 9.5710e-02 eta: 2 days, 17:11:01 time: 0.2865 data_time: 0.0180 memory: 6334 grad_norm: 2.2322 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2541 loss: 3.2541 2022/08/13 17:53:22 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 9.5710e-02 eta: 2 days, 17:10:33 time: 0.2781 data_time: 0.0169 memory: 6334 grad_norm: 2.1478 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1319 loss: 3.1319 2022/08/13 17:53:50 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 9.5710e-02 eta: 2 days, 17:10:04 time: 0.2782 data_time: 0.0170 memory: 6334 grad_norm: 2.2038 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1024 loss: 3.1024 2022/08/13 17:54:18 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 9.5710e-02 eta: 2 days, 17:09:36 time: 0.2864 data_time: 0.0171 memory: 6334 grad_norm: 2.1620 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2531 loss: 3.2531 2022/08/13 17:54:46 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 9.5710e-02 eta: 2 days, 17:09:07 time: 0.2834 data_time: 0.0223 memory: 6334 grad_norm: 2.1540 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3775 loss: 3.3775 2022/08/13 17:55:14 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 9.5710e-02 eta: 2 days, 17:08:38 time: 0.2775 data_time: 0.0168 memory: 6334 grad_norm: 2.2656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5733 loss: 3.5733 2022/08/13 17:55:43 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 9.5710e-02 eta: 2 days, 17:08:12 time: 0.2978 data_time: 0.0161 memory: 6334 grad_norm: 2.1868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2275 loss: 3.2275 2022/08/13 17:56:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:56:13 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 9.5710e-02 eta: 2 days, 17:07:51 time: 0.2844 data_time: 0.0177 memory: 6334 grad_norm: 2.2586 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4450 loss: 3.4450 2022/08/13 17:56:41 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 9.5710e-02 eta: 2 days, 17:07:22 time: 0.2783 data_time: 0.0167 memory: 6334 grad_norm: 2.1817 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3075 loss: 3.3075 2022/08/13 17:57:09 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 9.5710e-02 eta: 2 days, 17:06:55 time: 0.2795 data_time: 0.0177 memory: 6334 grad_norm: 2.1588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5066 loss: 3.5066 2022/08/13 17:57:37 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 9.5710e-02 eta: 2 days, 17:06:26 time: 0.2817 data_time: 0.0174 memory: 6334 grad_norm: 2.2478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5226 loss: 3.5226 2022/08/13 17:58:06 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 9.5710e-02 eta: 2 days, 17:05:58 time: 0.2837 data_time: 0.0191 memory: 6334 grad_norm: 2.1504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1371 loss: 3.1371 2022/08/13 17:58:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 17:58:21 - mmengine - INFO - Epoch(train) [35][3757/3757] lr: 9.5710e-02 eta: 2 days, 17:05:47 time: 0.2591 data_time: 0.0147 memory: 6334 grad_norm: 2.1844 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.3606 loss: 3.3606 2022/08/13 17:58:43 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:00:48 time: 0.2308 data_time: 0.1295 memory: 1152 2022/08/13 17:59:04 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:20 time: 0.1881 data_time: 0.0883 memory: 1152 2022/08/13 17:59:25 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:02 time: 0.2058 data_time: 0.1055 memory: 1152 2022/08/13 17:59:30 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.3379 acc/top5: 0.6240 acc/mean1: 0.3378 2022/08/13 18:00:00 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 9.5458e-02 eta: 2 days, 17:04:56 time: 0.2779 data_time: 0.0169 memory: 6334 grad_norm: 2.2001 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2703 loss: 3.2703 2022/08/13 18:00:32 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 9.5458e-02 eta: 2 days, 17:04:50 time: 0.2769 data_time: 0.0167 memory: 6334 grad_norm: 2.2592 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0991 loss: 3.0991 2022/08/13 18:01:00 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 9.5458e-02 eta: 2 days, 17:04:22 time: 0.2789 data_time: 0.0170 memory: 6334 grad_norm: 2.2753 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3029 loss: 3.3029 2022/08/13 18:01:29 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 9.5458e-02 eta: 2 days, 17:03:55 time: 0.2798 data_time: 0.0160 memory: 6334 grad_norm: 2.2533 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7647 loss: 3.7647 2022/08/13 18:01:57 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 9.5458e-02 eta: 2 days, 17:03:27 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.1480 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1176 loss: 3.1176 2022/08/13 18:01:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:02:25 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 9.5458e-02 eta: 2 days, 17:02:59 time: 0.2865 data_time: 0.0175 memory: 6334 grad_norm: 2.2358 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1612 loss: 3.1612 2022/08/13 18:02:54 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 9.5458e-02 eta: 2 days, 17:02:32 time: 0.2770 data_time: 0.0170 memory: 6334 grad_norm: 2.2027 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2502 loss: 3.2502 2022/08/13 18:03:22 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 9.5458e-02 eta: 2 days, 17:02:03 time: 0.2789 data_time: 0.0167 memory: 6334 grad_norm: 2.1938 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3164 loss: 3.3164 2022/08/13 18:03:51 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 9.5458e-02 eta: 2 days, 17:01:37 time: 0.2772 data_time: 0.0168 memory: 6334 grad_norm: 2.2098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2977 loss: 3.2977 2022/08/13 18:04:19 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 9.5458e-02 eta: 2 days, 17:01:10 time: 0.2780 data_time: 0.0168 memory: 6334 grad_norm: 2.2021 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3820 loss: 3.3820 2022/08/13 18:04:48 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 9.5458e-02 eta: 2 days, 17:00:46 time: 0.3115 data_time: 0.0276 memory: 6334 grad_norm: 2.1562 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0918 loss: 3.0918 2022/08/13 18:05:17 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 9.5458e-02 eta: 2 days, 17:00:20 time: 0.2900 data_time: 0.0183 memory: 6334 grad_norm: 2.1513 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3484 loss: 3.3484 2022/08/13 18:05:45 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 9.5458e-02 eta: 2 days, 16:59:51 time: 0.2792 data_time: 0.0168 memory: 6334 grad_norm: 2.1726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1910 loss: 3.1910 2022/08/13 18:06:13 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 9.5458e-02 eta: 2 days, 16:59:23 time: 0.2765 data_time: 0.0159 memory: 6334 grad_norm: 2.2100 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6261 loss: 3.6261 2022/08/13 18:06:42 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 9.5458e-02 eta: 2 days, 16:58:57 time: 0.2798 data_time: 0.0171 memory: 6334 grad_norm: 2.2025 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1752 loss: 3.1752 2022/08/13 18:06:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:07:10 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 9.5458e-02 eta: 2 days, 16:58:30 time: 0.2779 data_time: 0.0164 memory: 6334 grad_norm: 2.1917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2611 loss: 3.2611 2022/08/13 18:07:39 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 9.5458e-02 eta: 2 days, 16:58:02 time: 0.2848 data_time: 0.0186 memory: 6334 grad_norm: 2.1348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4452 loss: 3.4452 2022/08/13 18:08:07 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 9.5458e-02 eta: 2 days, 16:57:36 time: 0.2920 data_time: 0.0167 memory: 6334 grad_norm: 2.2128 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.0890 loss: 3.0890 2022/08/13 18:08:36 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 9.5458e-02 eta: 2 days, 16:57:11 time: 0.2831 data_time: 0.0186 memory: 6334 grad_norm: 2.1816 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3334 loss: 3.3334 2022/08/13 18:09:04 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 9.5458e-02 eta: 2 days, 16:56:43 time: 0.2843 data_time: 0.0177 memory: 6334 grad_norm: 2.2154 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6385 loss: 3.6385 2022/08/13 18:09:33 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 9.5458e-02 eta: 2 days, 16:56:19 time: 0.2785 data_time: 0.0171 memory: 6334 grad_norm: 2.1977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1903 loss: 3.1903 2022/08/13 18:10:01 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 9.5458e-02 eta: 2 days, 16:55:50 time: 0.2782 data_time: 0.0164 memory: 6334 grad_norm: 2.2435 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2190 loss: 3.2190 2022/08/13 18:10:30 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 9.5458e-02 eta: 2 days, 16:55:23 time: 0.2801 data_time: 0.0166 memory: 6334 grad_norm: 2.1330 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2250 loss: 3.2250 2022/08/13 18:10:58 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 9.5458e-02 eta: 2 days, 16:54:56 time: 0.2786 data_time: 0.0165 memory: 6334 grad_norm: 2.2284 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3552 loss: 3.3552 2022/08/13 18:11:27 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 9.5458e-02 eta: 2 days, 16:54:28 time: 0.2868 data_time: 0.0184 memory: 6334 grad_norm: 2.2626 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1545 loss: 3.1545 2022/08/13 18:11:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:11:55 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 9.5458e-02 eta: 2 days, 16:54:00 time: 0.2796 data_time: 0.0176 memory: 6334 grad_norm: 2.2102 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4626 loss: 3.4626 2022/08/13 18:12:23 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 9.5458e-02 eta: 2 days, 16:53:31 time: 0.2797 data_time: 0.0164 memory: 6334 grad_norm: 2.1947 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4424 loss: 3.4424 2022/08/13 18:12:51 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 9.5458e-02 eta: 2 days, 16:53:03 time: 0.2786 data_time: 0.0170 memory: 6334 grad_norm: 2.2603 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0201 loss: 3.0201 2022/08/13 18:13:20 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 9.5458e-02 eta: 2 days, 16:52:35 time: 0.2779 data_time: 0.0174 memory: 6334 grad_norm: 2.2147 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3484 loss: 3.3484 2022/08/13 18:13:48 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 9.5458e-02 eta: 2 days, 16:52:08 time: 0.2864 data_time: 0.0188 memory: 6334 grad_norm: 2.1988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2082 loss: 3.2082 2022/08/13 18:14:17 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 9.5458e-02 eta: 2 days, 16:51:40 time: 0.2784 data_time: 0.0160 memory: 6334 grad_norm: 2.2515 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1303 loss: 3.1303 2022/08/13 18:14:45 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 9.5458e-02 eta: 2 days, 16:51:12 time: 0.2869 data_time: 0.0191 memory: 6334 grad_norm: 2.2122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4021 loss: 3.4021 2022/08/13 18:15:13 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 9.5458e-02 eta: 2 days, 16:50:44 time: 0.2786 data_time: 0.0168 memory: 6334 grad_norm: 2.1506 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3360 loss: 3.3360 2022/08/13 18:15:41 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 9.5458e-02 eta: 2 days, 16:50:15 time: 0.2769 data_time: 0.0173 memory: 6334 grad_norm: 2.1808 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4132 loss: 3.4132 2022/08/13 18:16:10 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 9.5458e-02 eta: 2 days, 16:49:50 time: 0.2831 data_time: 0.0177 memory: 6334 grad_norm: 2.2045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2092 loss: 3.2092 2022/08/13 18:16:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:16:38 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 9.5458e-02 eta: 2 days, 16:49:22 time: 0.2883 data_time: 0.0169 memory: 6334 grad_norm: 2.1993 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2900 loss: 3.2900 2022/08/13 18:17:07 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 9.5458e-02 eta: 2 days, 16:48:56 time: 0.3015 data_time: 0.0164 memory: 6334 grad_norm: 2.1249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9643 loss: 2.9643 2022/08/13 18:17:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:17:23 - mmengine - INFO - Epoch(train) [36][3757/3757] lr: 9.5458e-02 eta: 2 days, 16:48:44 time: 0.2575 data_time: 0.0148 memory: 6334 grad_norm: 2.2471 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.3721 loss: 3.3721 2022/08/13 18:17:23 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/13 18:17:56 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 9.5199e-02 eta: 2 days, 16:47:50 time: 0.2867 data_time: 0.0183 memory: 6334 grad_norm: 2.2068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4108 loss: 3.4108 2022/08/13 18:18:24 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 9.5199e-02 eta: 2 days, 16:47:21 time: 0.2794 data_time: 0.0171 memory: 6334 grad_norm: 2.2177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1377 loss: 3.1377 2022/08/13 18:18:53 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 9.5199e-02 eta: 2 days, 16:46:52 time: 0.2795 data_time: 0.0164 memory: 6334 grad_norm: 2.2623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5161 loss: 3.5161 2022/08/13 18:19:22 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 9.5199e-02 eta: 2 days, 16:46:30 time: 0.2798 data_time: 0.0169 memory: 6334 grad_norm: 2.1952 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0684 loss: 3.0684 2022/08/13 18:19:51 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 9.5199e-02 eta: 2 days, 16:46:04 time: 0.2797 data_time: 0.0166 memory: 6334 grad_norm: 2.2054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3375 loss: 3.3375 2022/08/13 18:20:19 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 9.5199e-02 eta: 2 days, 16:45:36 time: 0.2899 data_time: 0.0181 memory: 6334 grad_norm: 2.1546 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3537 loss: 3.3537 2022/08/13 18:20:47 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 9.5199e-02 eta: 2 days, 16:45:09 time: 0.2779 data_time: 0.0171 memory: 6334 grad_norm: 2.1564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2764 loss: 3.2764 2022/08/13 18:21:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:21:16 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 9.5199e-02 eta: 2 days, 16:44:43 time: 0.2930 data_time: 0.0164 memory: 6334 grad_norm: 2.2133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2095 loss: 3.2095 2022/08/13 18:21:44 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 9.5199e-02 eta: 2 days, 16:44:13 time: 0.2789 data_time: 0.0167 memory: 6334 grad_norm: 2.1958 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1209 loss: 3.1209 2022/08/13 18:22:12 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 9.5199e-02 eta: 2 days, 16:43:45 time: 0.2855 data_time: 0.0187 memory: 6334 grad_norm: 2.1548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1566 loss: 3.1566 2022/08/13 18:22:40 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 9.5199e-02 eta: 2 days, 16:43:15 time: 0.2800 data_time: 0.0175 memory: 6334 grad_norm: 2.1864 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1429 loss: 3.1429 2022/08/13 18:23:09 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 9.5199e-02 eta: 2 days, 16:42:48 time: 0.2871 data_time: 0.0194 memory: 6334 grad_norm: 2.2535 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3667 loss: 3.3667 2022/08/13 18:23:37 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 9.5199e-02 eta: 2 days, 16:42:19 time: 0.2796 data_time: 0.0167 memory: 6334 grad_norm: 2.2098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3182 loss: 3.3182 2022/08/13 18:24:05 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 9.5199e-02 eta: 2 days, 16:41:51 time: 0.2838 data_time: 0.0180 memory: 6334 grad_norm: 2.2184 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3695 loss: 3.3695 2022/08/13 18:24:33 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 9.5199e-02 eta: 2 days, 16:41:22 time: 0.2783 data_time: 0.0177 memory: 6334 grad_norm: 2.2174 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4164 loss: 3.4164 2022/08/13 18:25:02 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 9.5199e-02 eta: 2 days, 16:40:53 time: 0.2789 data_time: 0.0179 memory: 6334 grad_norm: 2.2022 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4337 loss: 3.4337 2022/08/13 18:25:30 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 9.5199e-02 eta: 2 days, 16:40:27 time: 0.2846 data_time: 0.0177 memory: 6334 grad_norm: 2.1888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2995 loss: 3.2995 2022/08/13 18:25:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:25:58 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 9.5199e-02 eta: 2 days, 16:39:57 time: 0.2798 data_time: 0.0168 memory: 6334 grad_norm: 2.2037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1152 loss: 3.1152 2022/08/13 18:26:26 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 9.5199e-02 eta: 2 days, 16:39:29 time: 0.2817 data_time: 0.0171 memory: 6334 grad_norm: 2.2202 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0933 loss: 3.0933 2022/08/13 18:26:55 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 9.5199e-02 eta: 2 days, 16:39:01 time: 0.2782 data_time: 0.0164 memory: 6334 grad_norm: 2.1945 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1310 loss: 3.1310 2022/08/13 18:27:23 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 9.5199e-02 eta: 2 days, 16:38:33 time: 0.2774 data_time: 0.0171 memory: 6334 grad_norm: 2.1948 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3739 loss: 3.3739 2022/08/13 18:27:51 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 9.5199e-02 eta: 2 days, 16:38:04 time: 0.2803 data_time: 0.0172 memory: 6334 grad_norm: 2.1338 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2480 loss: 3.2480 2022/08/13 18:28:20 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 9.5199e-02 eta: 2 days, 16:37:37 time: 0.2860 data_time: 0.0175 memory: 6334 grad_norm: 2.2171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0539 loss: 3.0539 2022/08/13 18:28:48 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 9.5199e-02 eta: 2 days, 16:37:08 time: 0.2789 data_time: 0.0177 memory: 6334 grad_norm: 2.2544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3510 loss: 3.3510 2022/08/13 18:29:16 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 9.5199e-02 eta: 2 days, 16:36:39 time: 0.2811 data_time: 0.0178 memory: 6334 grad_norm: 2.2090 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2152 loss: 3.2152 2022/08/13 18:29:44 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 9.5199e-02 eta: 2 days, 16:36:09 time: 0.2788 data_time: 0.0174 memory: 6334 grad_norm: 2.1757 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1633 loss: 3.1633 2022/08/13 18:30:12 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 9.5199e-02 eta: 2 days, 16:35:41 time: 0.2771 data_time: 0.0171 memory: 6334 grad_norm: 2.1990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1944 loss: 3.1944 2022/08/13 18:30:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:30:41 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 9.5199e-02 eta: 2 days, 16:35:13 time: 0.2821 data_time: 0.0192 memory: 6334 grad_norm: 2.1784 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0362 loss: 3.0362 2022/08/13 18:31:09 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 9.5199e-02 eta: 2 days, 16:34:43 time: 0.2837 data_time: 0.0187 memory: 6334 grad_norm: 2.1290 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3357 loss: 3.3357 2022/08/13 18:31:37 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 9.5199e-02 eta: 2 days, 16:34:16 time: 0.2841 data_time: 0.0176 memory: 6334 grad_norm: 2.1910 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3417 loss: 3.3417 2022/08/13 18:32:05 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 9.5199e-02 eta: 2 days, 16:33:47 time: 0.2789 data_time: 0.0167 memory: 6334 grad_norm: 2.2220 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1805 loss: 3.1805 2022/08/13 18:32:34 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 9.5199e-02 eta: 2 days, 16:33:20 time: 0.2789 data_time: 0.0166 memory: 6334 grad_norm: 2.2091 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2209 loss: 3.2209 2022/08/13 18:33:02 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 9.5199e-02 eta: 2 days, 16:32:51 time: 0.2795 data_time: 0.0190 memory: 6334 grad_norm: 2.2123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1885 loss: 3.1885 2022/08/13 18:33:30 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 9.5199e-02 eta: 2 days, 16:32:23 time: 0.2856 data_time: 0.0207 memory: 6334 grad_norm: 2.1514 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4320 loss: 3.4320 2022/08/13 18:33:59 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 9.5199e-02 eta: 2 days, 16:31:56 time: 0.2778 data_time: 0.0170 memory: 6334 grad_norm: 2.2149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2194 loss: 3.2194 2022/08/13 18:34:27 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 9.5199e-02 eta: 2 days, 16:31:28 time: 0.2847 data_time: 0.0187 memory: 6334 grad_norm: 2.2891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1829 loss: 3.1829 2022/08/13 18:34:55 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 9.5199e-02 eta: 2 days, 16:30:58 time: 0.2790 data_time: 0.0171 memory: 6334 grad_norm: 2.2036 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3459 loss: 3.3459 2022/08/13 18:35:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:35:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:35:11 - mmengine - INFO - Epoch(train) [37][3757/3757] lr: 9.5199e-02 eta: 2 days, 16:30:46 time: 0.2593 data_time: 0.0150 memory: 6334 grad_norm: 2.1414 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 3.2460 loss: 3.2460 2022/08/13 18:35:41 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 9.4934e-02 eta: 2 days, 16:29:57 time: 0.2857 data_time: 0.0181 memory: 6334 grad_norm: 2.2302 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3221 loss: 3.3221 2022/08/13 18:36:09 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 9.4934e-02 eta: 2 days, 16:29:28 time: 0.2797 data_time: 0.0183 memory: 6334 grad_norm: 2.2023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2368 loss: 3.2368 2022/08/13 18:36:37 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 9.4934e-02 eta: 2 days, 16:28:59 time: 0.2847 data_time: 0.0173 memory: 6334 grad_norm: 2.2582 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3448 loss: 3.3448 2022/08/13 18:37:06 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 9.4934e-02 eta: 2 days, 16:28:31 time: 0.2770 data_time: 0.0165 memory: 6334 grad_norm: 2.2451 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1765 loss: 3.1765 2022/08/13 18:37:34 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 9.4934e-02 eta: 2 days, 16:28:02 time: 0.2784 data_time: 0.0172 memory: 6334 grad_norm: 2.1767 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4017 loss: 3.4017 2022/08/13 18:38:02 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 9.4934e-02 eta: 2 days, 16:27:35 time: 0.2862 data_time: 0.0174 memory: 6334 grad_norm: 2.1966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4356 loss: 3.4356 2022/08/13 18:38:30 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 9.4934e-02 eta: 2 days, 16:27:06 time: 0.2809 data_time: 0.0185 memory: 6334 grad_norm: 2.3080 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0505 loss: 3.0505 2022/08/13 18:38:59 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 9.4934e-02 eta: 2 days, 16:26:38 time: 0.2823 data_time: 0.0171 memory: 6334 grad_norm: 2.2449 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2277 loss: 3.2277 2022/08/13 18:39:27 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 9.4934e-02 eta: 2 days, 16:26:09 time: 0.2834 data_time: 0.0184 memory: 6334 grad_norm: 2.1654 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0336 loss: 3.0336 2022/08/13 18:39:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:39:55 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 9.4934e-02 eta: 2 days, 16:25:40 time: 0.2789 data_time: 0.0178 memory: 6334 grad_norm: 2.2154 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4795 loss: 3.4795 2022/08/13 18:40:23 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 9.4934e-02 eta: 2 days, 16:25:12 time: 0.2803 data_time: 0.0181 memory: 6334 grad_norm: 2.2213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3447 loss: 3.3447 2022/08/13 18:40:51 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 9.4934e-02 eta: 2 days, 16:24:43 time: 0.2809 data_time: 0.0170 memory: 6334 grad_norm: 2.1625 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2205 loss: 3.2205 2022/08/13 18:41:20 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 9.4934e-02 eta: 2 days, 16:24:15 time: 0.2832 data_time: 0.0169 memory: 6334 grad_norm: 2.1639 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3173 loss: 3.3173 2022/08/13 18:41:48 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 9.4934e-02 eta: 2 days, 16:23:46 time: 0.2804 data_time: 0.0189 memory: 6334 grad_norm: 2.2482 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9260 loss: 2.9260 2022/08/13 18:42:16 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 9.4934e-02 eta: 2 days, 16:23:19 time: 0.2839 data_time: 0.0176 memory: 6334 grad_norm: 2.2313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3447 loss: 3.3447 2022/08/13 18:42:45 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 9.4934e-02 eta: 2 days, 16:22:52 time: 0.2794 data_time: 0.0166 memory: 6334 grad_norm: 2.2085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5924 loss: 3.5924 2022/08/13 18:43:13 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 9.4934e-02 eta: 2 days, 16:22:24 time: 0.2785 data_time: 0.0164 memory: 6334 grad_norm: 2.1904 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9153 loss: 2.9153 2022/08/13 18:43:41 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 9.4934e-02 eta: 2 days, 16:21:55 time: 0.2802 data_time: 0.0180 memory: 6334 grad_norm: 2.2239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2238 loss: 3.2238 2022/08/13 18:44:10 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 9.4934e-02 eta: 2 days, 16:21:28 time: 0.2912 data_time: 0.0212 memory: 6334 grad_norm: 2.2209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5643 loss: 3.5643 2022/08/13 18:44:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:44:38 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 9.4934e-02 eta: 2 days, 16:20:59 time: 0.2782 data_time: 0.0175 memory: 6334 grad_norm: 2.2013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2524 loss: 3.2524 2022/08/13 18:45:06 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 9.4934e-02 eta: 2 days, 16:20:30 time: 0.2812 data_time: 0.0176 memory: 6334 grad_norm: 2.2397 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3132 loss: 3.3132 2022/08/13 18:45:35 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 9.4934e-02 eta: 2 days, 16:20:03 time: 0.2780 data_time: 0.0175 memory: 6334 grad_norm: 2.2633 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0946 loss: 3.0946 2022/08/13 18:46:03 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 9.4934e-02 eta: 2 days, 16:19:35 time: 0.2793 data_time: 0.0171 memory: 6334 grad_norm: 2.1736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1326 loss: 3.1326 2022/08/13 18:46:31 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 9.4934e-02 eta: 2 days, 16:19:07 time: 0.2934 data_time: 0.0203 memory: 6334 grad_norm: 2.1197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0279 loss: 3.0279 2022/08/13 18:47:00 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 9.4934e-02 eta: 2 days, 16:18:39 time: 0.2785 data_time: 0.0168 memory: 6334 grad_norm: 2.2451 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2195 loss: 3.2195 2022/08/13 18:47:28 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 9.4934e-02 eta: 2 days, 16:18:11 time: 0.2876 data_time: 0.0159 memory: 6334 grad_norm: 2.2174 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8309 loss: 2.8309 2022/08/13 18:47:56 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 9.4934e-02 eta: 2 days, 16:17:42 time: 0.2801 data_time: 0.0175 memory: 6334 grad_norm: 2.1594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0886 loss: 3.0886 2022/08/13 18:48:24 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 9.4934e-02 eta: 2 days, 16:17:13 time: 0.2786 data_time: 0.0166 memory: 6334 grad_norm: 2.2695 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4456 loss: 3.4456 2022/08/13 18:48:52 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 9.4934e-02 eta: 2 days, 16:16:45 time: 0.2830 data_time: 0.0184 memory: 6334 grad_norm: 2.1048 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1658 loss: 3.1658 2022/08/13 18:49:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:49:21 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 9.4934e-02 eta: 2 days, 16:16:17 time: 0.2820 data_time: 0.0201 memory: 6334 grad_norm: 2.1870 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2805 loss: 3.2805 2022/08/13 18:49:49 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 9.4934e-02 eta: 2 days, 16:15:51 time: 0.2846 data_time: 0.0181 memory: 6334 grad_norm: 2.2241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1731 loss: 3.1731 2022/08/13 18:50:18 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 9.4934e-02 eta: 2 days, 16:15:21 time: 0.2797 data_time: 0.0178 memory: 6334 grad_norm: 2.1921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0529 loss: 3.0529 2022/08/13 18:50:46 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 9.4934e-02 eta: 2 days, 16:14:52 time: 0.2778 data_time: 0.0166 memory: 6334 grad_norm: 2.1786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0407 loss: 3.0407 2022/08/13 18:51:14 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 9.4934e-02 eta: 2 days, 16:14:24 time: 0.2774 data_time: 0.0166 memory: 6334 grad_norm: 2.2058 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2236 loss: 3.2236 2022/08/13 18:51:42 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 9.4934e-02 eta: 2 days, 16:13:55 time: 0.2785 data_time: 0.0170 memory: 6334 grad_norm: 2.1560 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4552 loss: 3.4552 2022/08/13 18:52:10 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 9.4934e-02 eta: 2 days, 16:13:27 time: 0.2840 data_time: 0.0191 memory: 6334 grad_norm: 2.1991 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2550 loss: 3.2550 2022/08/13 18:52:38 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 9.4934e-02 eta: 2 days, 16:12:58 time: 0.2788 data_time: 0.0192 memory: 6334 grad_norm: 2.1734 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0945 loss: 3.0945 2022/08/13 18:52:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:52:54 - mmengine - INFO - Epoch(train) [38][3757/3757] lr: 9.4934e-02 eta: 2 days, 16:12:48 time: 0.2605 data_time: 0.0147 memory: 6334 grad_norm: 2.2021 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.1211 loss: 3.1211 2022/08/13 18:53:25 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 9.4661e-02 eta: 2 days, 16:12:00 time: 0.2799 data_time: 0.0162 memory: 6334 grad_norm: 2.2318 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1299 loss: 3.1299 2022/08/13 18:53:53 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 9.4661e-02 eta: 2 days, 16:11:31 time: 0.2878 data_time: 0.0173 memory: 6334 grad_norm: 2.2229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1524 loss: 3.1524 2022/08/13 18:54:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:54:22 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 9.4661e-02 eta: 2 days, 16:11:05 time: 0.2795 data_time: 0.0172 memory: 6334 grad_norm: 2.2405 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2661 loss: 3.2661 2022/08/13 18:54:51 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 9.4661e-02 eta: 2 days, 16:10:40 time: 0.2910 data_time: 0.0187 memory: 6334 grad_norm: 2.3198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4279 loss: 3.4279 2022/08/13 18:55:19 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 9.4661e-02 eta: 2 days, 16:10:11 time: 0.2871 data_time: 0.0177 memory: 6334 grad_norm: 2.1531 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2358 loss: 3.2358 2022/08/13 18:55:47 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 9.4661e-02 eta: 2 days, 16:09:44 time: 0.2805 data_time: 0.0173 memory: 6334 grad_norm: 2.1480 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0154 loss: 3.0154 2022/08/13 18:56:15 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 9.4661e-02 eta: 2 days, 16:09:15 time: 0.2807 data_time: 0.0173 memory: 6334 grad_norm: 2.2565 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3100 loss: 3.3100 2022/08/13 18:56:44 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 9.4661e-02 eta: 2 days, 16:08:49 time: 0.3046 data_time: 0.0173 memory: 6334 grad_norm: 2.1831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 3.3065 loss: 3.3065 2022/08/13 18:57:12 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 9.4661e-02 eta: 2 days, 16:08:21 time: 0.2934 data_time: 0.0181 memory: 6334 grad_norm: 2.2121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3573 loss: 3.3573 2022/08/13 18:57:41 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 9.4661e-02 eta: 2 days, 16:07:53 time: 0.2897 data_time: 0.0177 memory: 6334 grad_norm: 2.1876 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9869 loss: 2.9869 2022/08/13 18:58:09 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 9.4661e-02 eta: 2 days, 16:07:24 time: 0.2771 data_time: 0.0165 memory: 6334 grad_norm: 2.1940 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3036 loss: 3.3036 2022/08/13 18:58:37 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 9.4661e-02 eta: 2 days, 16:06:55 time: 0.2802 data_time: 0.0176 memory: 6334 grad_norm: 2.1219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9537 loss: 2.9537 2022/08/13 18:58:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 18:59:05 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 9.4661e-02 eta: 2 days, 16:06:27 time: 0.2809 data_time: 0.0205 memory: 6334 grad_norm: 2.2172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1628 loss: 3.1628 2022/08/13 18:59:33 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 9.4661e-02 eta: 2 days, 16:05:58 time: 0.2816 data_time: 0.0177 memory: 6334 grad_norm: 2.2637 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2567 loss: 3.2567 2022/08/13 19:00:01 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 9.4661e-02 eta: 2 days, 16:05:29 time: 0.2792 data_time: 0.0176 memory: 6334 grad_norm: 2.2006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.1394 loss: 3.1394 2022/08/13 19:00:30 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 9.4661e-02 eta: 2 days, 16:05:01 time: 0.2850 data_time: 0.0170 memory: 6334 grad_norm: 2.2674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4576 loss: 3.4576 2022/08/13 19:00:58 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 9.4661e-02 eta: 2 days, 16:04:32 time: 0.2768 data_time: 0.0173 memory: 6334 grad_norm: 2.2715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0742 loss: 3.0742 2022/08/13 19:01:26 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 9.4661e-02 eta: 2 days, 16:04:03 time: 0.2805 data_time: 0.0169 memory: 6334 grad_norm: 2.2503 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2954 loss: 3.2954 2022/08/13 19:01:54 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 9.4661e-02 eta: 2 days, 16:03:34 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.2064 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1712 loss: 3.1712 2022/08/13 19:02:22 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 9.4661e-02 eta: 2 days, 16:03:05 time: 0.2798 data_time: 0.0166 memory: 6334 grad_norm: 2.2321 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2711 loss: 3.2711 2022/08/13 19:02:50 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 9.4661e-02 eta: 2 days, 16:02:35 time: 0.2807 data_time: 0.0184 memory: 6334 grad_norm: 2.2215 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4323 loss: 3.4323 2022/08/13 19:03:19 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 9.4661e-02 eta: 2 days, 16:02:08 time: 0.2796 data_time: 0.0171 memory: 6334 grad_norm: 2.1490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9911 loss: 2.9911 2022/08/13 19:03:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:03:47 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 9.4661e-02 eta: 2 days, 16:01:40 time: 0.2790 data_time: 0.0165 memory: 6334 grad_norm: 2.2043 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2557 loss: 3.2557 2022/08/13 19:04:15 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 9.4661e-02 eta: 2 days, 16:01:12 time: 0.2798 data_time: 0.0177 memory: 6334 grad_norm: 2.1812 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5502 loss: 3.5502 2022/08/13 19:04:44 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 9.4661e-02 eta: 2 days, 16:00:44 time: 0.2794 data_time: 0.0178 memory: 6334 grad_norm: 2.2346 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2607 loss: 3.2607 2022/08/13 19:05:12 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 9.4661e-02 eta: 2 days, 16:00:15 time: 0.2813 data_time: 0.0185 memory: 6334 grad_norm: 2.1533 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0341 loss: 3.0341 2022/08/13 19:05:40 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 9.4661e-02 eta: 2 days, 15:59:47 time: 0.2784 data_time: 0.0169 memory: 6334 grad_norm: 2.1905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3396 loss: 3.3396 2022/08/13 19:06:09 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 9.4661e-02 eta: 2 days, 15:59:19 time: 0.2802 data_time: 0.0173 memory: 6334 grad_norm: 2.2574 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2743 loss: 3.2743 2022/08/13 19:06:37 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 9.4661e-02 eta: 2 days, 15:58:50 time: 0.2805 data_time: 0.0172 memory: 6334 grad_norm: 2.2921 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3269 loss: 3.3269 2022/08/13 19:07:05 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 9.4661e-02 eta: 2 days, 15:58:21 time: 0.2802 data_time: 0.0164 memory: 6334 grad_norm: 2.2156 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7014 loss: 2.7014 2022/08/13 19:07:33 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 9.4661e-02 eta: 2 days, 15:57:52 time: 0.2840 data_time: 0.0185 memory: 6334 grad_norm: 2.1990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2525 loss: 3.2525 2022/08/13 19:08:01 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 9.4661e-02 eta: 2 days, 15:57:23 time: 0.2789 data_time: 0.0184 memory: 6334 grad_norm: 2.2270 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0368 loss: 3.0368 2022/08/13 19:08:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:08:30 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 9.4661e-02 eta: 2 days, 15:56:56 time: 0.2869 data_time: 0.0167 memory: 6334 grad_norm: 2.2043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1549 loss: 3.1549 2022/08/13 19:08:58 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 9.4661e-02 eta: 2 days, 15:56:28 time: 0.2792 data_time: 0.0167 memory: 6334 grad_norm: 2.2022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8596 loss: 2.8596 2022/08/13 19:09:26 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 9.4661e-02 eta: 2 days, 15:55:59 time: 0.2795 data_time: 0.0176 memory: 6334 grad_norm: 2.2450 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1725 loss: 3.1725 2022/08/13 19:09:54 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 9.4661e-02 eta: 2 days, 15:55:31 time: 0.2842 data_time: 0.0177 memory: 6334 grad_norm: 2.2578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0579 loss: 3.0579 2022/08/13 19:10:23 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 9.4661e-02 eta: 2 days, 15:55:03 time: 0.2843 data_time: 0.0184 memory: 6334 grad_norm: 2.2278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1746 loss: 3.1746 2022/08/13 19:10:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:10:38 - mmengine - INFO - Epoch(train) [39][3757/3757] lr: 9.4661e-02 eta: 2 days, 15:54:51 time: 0.2592 data_time: 0.0148 memory: 6334 grad_norm: 2.2345 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.3681 loss: 3.3681 2022/08/13 19:11:09 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 9.4382e-02 eta: 2 days, 15:54:03 time: 0.2777 data_time: 0.0166 memory: 6334 grad_norm: 2.2351 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2941 loss: 3.2941 2022/08/13 19:11:37 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 9.4382e-02 eta: 2 days, 15:53:34 time: 0.2789 data_time: 0.0177 memory: 6334 grad_norm: 2.2000 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3651 loss: 3.3651 2022/08/13 19:12:05 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 9.4382e-02 eta: 2 days, 15:53:05 time: 0.2892 data_time: 0.0167 memory: 6334 grad_norm: 2.2271 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0232 loss: 3.0232 2022/08/13 19:12:33 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 9.4382e-02 eta: 2 days, 15:52:37 time: 0.2815 data_time: 0.0194 memory: 6334 grad_norm: 2.1944 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2902 loss: 3.2902 2022/08/13 19:12:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:13:02 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 9.4382e-02 eta: 2 days, 15:52:09 time: 0.2848 data_time: 0.0184 memory: 6334 grad_norm: 2.1634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0904 loss: 3.0904 2022/08/13 19:13:30 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 9.4382e-02 eta: 2 days, 15:51:40 time: 0.2799 data_time: 0.0170 memory: 6334 grad_norm: 2.3030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0267 loss: 3.0267 2022/08/13 19:13:58 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 9.4382e-02 eta: 2 days, 15:51:12 time: 0.2791 data_time: 0.0156 memory: 6334 grad_norm: 2.2598 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4209 loss: 3.4209 2022/08/13 19:14:26 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 9.4382e-02 eta: 2 days, 15:50:43 time: 0.2794 data_time: 0.0162 memory: 6334 grad_norm: 2.1933 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4086 loss: 3.4086 2022/08/13 19:14:54 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 9.4382e-02 eta: 2 days, 15:50:14 time: 0.2794 data_time: 0.0175 memory: 6334 grad_norm: 2.2223 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0545 loss: 3.0545 2022/08/13 19:15:23 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 9.4382e-02 eta: 2 days, 15:49:46 time: 0.2847 data_time: 0.0171 memory: 6334 grad_norm: 2.2297 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0818 loss: 3.0818 2022/08/13 19:15:51 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 9.4382e-02 eta: 2 days, 15:49:19 time: 0.2800 data_time: 0.0165 memory: 6334 grad_norm: 2.1928 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0337 loss: 3.0337 2022/08/13 19:16:19 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 9.4382e-02 eta: 2 days, 15:48:50 time: 0.2807 data_time: 0.0165 memory: 6334 grad_norm: 2.1963 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1039 loss: 3.1039 2022/08/13 19:16:48 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 9.4382e-02 eta: 2 days, 15:48:22 time: 0.2834 data_time: 0.0166 memory: 6334 grad_norm: 2.1707 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0599 loss: 3.0599 2022/08/13 19:17:16 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 9.4382e-02 eta: 2 days, 15:47:53 time: 0.2791 data_time: 0.0180 memory: 6334 grad_norm: 2.2029 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1372 loss: 3.1372 2022/08/13 19:17:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:17:44 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 9.4382e-02 eta: 2 days, 15:47:25 time: 0.2836 data_time: 0.0187 memory: 6334 grad_norm: 2.1300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3741 loss: 3.3741 2022/08/13 19:18:12 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 9.4382e-02 eta: 2 days, 15:46:56 time: 0.2788 data_time: 0.0167 memory: 6334 grad_norm: 2.1728 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2376 loss: 3.2376 2022/08/13 19:18:40 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 9.4382e-02 eta: 2 days, 15:46:27 time: 0.2782 data_time: 0.0164 memory: 6334 grad_norm: 2.1752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1382 loss: 3.1382 2022/08/13 19:19:09 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 9.4382e-02 eta: 2 days, 15:45:59 time: 0.2783 data_time: 0.0175 memory: 6334 grad_norm: 2.1715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4272 loss: 3.4272 2022/08/13 19:19:37 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 9.4382e-02 eta: 2 days, 15:45:31 time: 0.2776 data_time: 0.0166 memory: 6334 grad_norm: 2.2426 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2909 loss: 3.2909 2022/08/13 19:20:05 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 9.4382e-02 eta: 2 days, 15:45:03 time: 0.2891 data_time: 0.0195 memory: 6334 grad_norm: 2.2217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0968 loss: 3.0968 2022/08/13 19:20:34 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 9.4382e-02 eta: 2 days, 15:44:37 time: 0.2783 data_time: 0.0168 memory: 6334 grad_norm: 2.2315 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2902 loss: 3.2902 2022/08/13 19:21:02 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 9.4382e-02 eta: 2 days, 15:44:09 time: 0.2817 data_time: 0.0184 memory: 6334 grad_norm: 2.2089 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3809 loss: 3.3809 2022/08/13 19:21:31 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 9.4382e-02 eta: 2 days, 15:43:41 time: 0.2775 data_time: 0.0167 memory: 6334 grad_norm: 2.1767 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5116 loss: 3.5116 2022/08/13 19:21:59 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 9.4382e-02 eta: 2 days, 15:43:12 time: 0.2794 data_time: 0.0162 memory: 6334 grad_norm: 2.2089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9974 loss: 2.9974 2022/08/13 19:22:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:22:27 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 9.4382e-02 eta: 2 days, 15:42:44 time: 0.2797 data_time: 0.0171 memory: 6334 grad_norm: 2.2866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2838 loss: 3.2838 2022/08/13 19:22:56 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 9.4382e-02 eta: 2 days, 15:42:17 time: 0.2835 data_time: 0.0199 memory: 6334 grad_norm: 2.2734 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4037 loss: 3.4037 2022/08/13 19:23:24 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 9.4382e-02 eta: 2 days, 15:41:48 time: 0.2791 data_time: 0.0169 memory: 6334 grad_norm: 2.1648 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0525 loss: 3.0525 2022/08/13 19:23:52 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 9.4382e-02 eta: 2 days, 15:41:20 time: 0.2793 data_time: 0.0163 memory: 6334 grad_norm: 2.1715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1697 loss: 3.1697 2022/08/13 19:24:20 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 9.4382e-02 eta: 2 days, 15:40:50 time: 0.2796 data_time: 0.0167 memory: 6334 grad_norm: 2.2738 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1465 loss: 3.1465 2022/08/13 19:24:48 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 9.4382e-02 eta: 2 days, 15:40:22 time: 0.2782 data_time: 0.0174 memory: 6334 grad_norm: 2.1503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9999 loss: 2.9999 2022/08/13 19:25:17 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 9.4382e-02 eta: 2 days, 15:39:55 time: 0.2778 data_time: 0.0183 memory: 6334 grad_norm: 2.1685 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3596 loss: 3.3596 2022/08/13 19:25:45 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 9.4382e-02 eta: 2 days, 15:39:28 time: 0.2873 data_time: 0.0188 memory: 6334 grad_norm: 2.2333 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2888 loss: 3.2888 2022/08/13 19:26:13 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 9.4382e-02 eta: 2 days, 15:38:59 time: 0.2780 data_time: 0.0168 memory: 6334 grad_norm: 2.2509 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1417 loss: 3.1417 2022/08/13 19:26:42 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 9.4382e-02 eta: 2 days, 15:38:32 time: 0.2880 data_time: 0.0192 memory: 6334 grad_norm: 2.2237 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2393 loss: 3.2393 2022/08/13 19:27:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:27:10 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 9.4382e-02 eta: 2 days, 15:38:03 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.2506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3756 loss: 3.3756 2022/08/13 19:27:38 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 9.4382e-02 eta: 2 days, 15:37:35 time: 0.2792 data_time: 0.0168 memory: 6334 grad_norm: 2.2323 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1303 loss: 3.1303 2022/08/13 19:28:07 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 9.4382e-02 eta: 2 days, 15:37:08 time: 0.2812 data_time: 0.0160 memory: 6334 grad_norm: 2.1767 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2050 loss: 3.2050 2022/08/13 19:28:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:28:23 - mmengine - INFO - Epoch(train) [40][3757/3757] lr: 9.4382e-02 eta: 2 days, 15:36:56 time: 0.2657 data_time: 0.0161 memory: 6334 grad_norm: 2.2011 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.3599 loss: 3.3599 2022/08/13 19:28:23 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/13 19:28:48 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:49 time: 0.2373 data_time: 0.1433 memory: 1152 2022/08/13 19:29:09 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:20 time: 0.1862 data_time: 0.0906 memory: 1152 2022/08/13 19:29:29 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:01 time: 0.1764 data_time: 0.0879 memory: 1152 2022/08/13 19:29:31 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.3505 acc/top5: 0.6299 acc/mean1: 0.3504 2022/08/13 19:29:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/13 19:29:33 - mmengine - INFO - The best checkpoint with 0.3505 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/13 19:30:03 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 9.4096e-02 eta: 2 days, 15:36:02 time: 0.2792 data_time: 0.0177 memory: 6334 grad_norm: 2.1790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2020 loss: 3.2020 2022/08/13 19:30:31 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 9.4096e-02 eta: 2 days, 15:35:34 time: 0.2781 data_time: 0.0172 memory: 6334 grad_norm: 2.2182 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1122 loss: 3.1122 2022/08/13 19:30:59 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 9.4096e-02 eta: 2 days, 15:35:05 time: 0.2776 data_time: 0.0171 memory: 6334 grad_norm: 2.2316 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0937 loss: 3.0937 2022/08/13 19:31:27 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 9.4096e-02 eta: 2 days, 15:34:37 time: 0.2789 data_time: 0.0161 memory: 6334 grad_norm: 2.2772 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2747 loss: 3.2747 2022/08/13 19:31:56 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 9.4096e-02 eta: 2 days, 15:34:09 time: 0.2872 data_time: 0.0169 memory: 6334 grad_norm: 2.2211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0712 loss: 3.0712 2022/08/13 19:32:24 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 9.4096e-02 eta: 2 days, 15:33:40 time: 0.2809 data_time: 0.0191 memory: 6334 grad_norm: 2.2403 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1537 loss: 3.1537 2022/08/13 19:32:52 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 9.4096e-02 eta: 2 days, 15:33:12 time: 0.2884 data_time: 0.0168 memory: 6334 grad_norm: 2.2521 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9490 loss: 2.9490 2022/08/13 19:32:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:33:20 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 9.4096e-02 eta: 2 days, 15:32:45 time: 0.2799 data_time: 0.0166 memory: 6334 grad_norm: 2.1924 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0265 loss: 3.0265 2022/08/13 19:33:49 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 9.4096e-02 eta: 2 days, 15:32:17 time: 0.2806 data_time: 0.0180 memory: 6334 grad_norm: 2.2266 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0809 loss: 3.0809 2022/08/13 19:34:17 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 9.4096e-02 eta: 2 days, 15:31:48 time: 0.2799 data_time: 0.0175 memory: 6334 grad_norm: 2.2104 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2632 loss: 3.2632 2022/08/13 19:34:45 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 9.4096e-02 eta: 2 days, 15:31:21 time: 0.2870 data_time: 0.0186 memory: 6334 grad_norm: 2.2799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3934 loss: 3.3934 2022/08/13 19:35:14 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 9.4096e-02 eta: 2 days, 15:30:52 time: 0.2788 data_time: 0.0185 memory: 6334 grad_norm: 2.1947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3214 loss: 3.3214 2022/08/13 19:35:42 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 9.4096e-02 eta: 2 days, 15:30:24 time: 0.2792 data_time: 0.0170 memory: 6334 grad_norm: 2.2488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7914 loss: 2.7914 2022/08/13 19:36:10 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 9.4096e-02 eta: 2 days, 15:29:56 time: 0.2811 data_time: 0.0168 memory: 6334 grad_norm: 2.2103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1931 loss: 3.1931 2022/08/13 19:36:38 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 9.4096e-02 eta: 2 days, 15:29:28 time: 0.2783 data_time: 0.0171 memory: 6334 grad_norm: 2.2231 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3616 loss: 3.3616 2022/08/13 19:37:07 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 9.4096e-02 eta: 2 days, 15:29:00 time: 0.2802 data_time: 0.0164 memory: 6334 grad_norm: 2.2215 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1669 loss: 3.1669 2022/08/13 19:37:35 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 9.4096e-02 eta: 2 days, 15:28:32 time: 0.2817 data_time: 0.0177 memory: 6334 grad_norm: 2.2258 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5089 loss: 3.5089 2022/08/13 19:37:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:38:03 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 9.4096e-02 eta: 2 days, 15:28:04 time: 0.2797 data_time: 0.0168 memory: 6334 grad_norm: 2.2303 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1960 loss: 3.1960 2022/08/13 19:38:32 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 9.4096e-02 eta: 2 days, 15:27:35 time: 0.2781 data_time: 0.0160 memory: 6334 grad_norm: 2.1938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3150 loss: 3.3150 2022/08/13 19:39:00 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 9.4096e-02 eta: 2 days, 15:27:08 time: 0.2801 data_time: 0.0176 memory: 6334 grad_norm: 2.2403 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0820 loss: 3.0820 2022/08/13 19:39:28 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 9.4096e-02 eta: 2 days, 15:26:40 time: 0.2794 data_time: 0.0167 memory: 6334 grad_norm: 2.2111 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3117 loss: 3.3117 2022/08/13 19:39:57 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 9.4096e-02 eta: 2 days, 15:26:12 time: 0.2821 data_time: 0.0174 memory: 6334 grad_norm: 2.2397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0884 loss: 3.0884 2022/08/13 19:40:25 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 9.4096e-02 eta: 2 days, 15:25:45 time: 0.2816 data_time: 0.0175 memory: 6334 grad_norm: 2.2258 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2780 loss: 3.2780 2022/08/13 19:40:54 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 9.4096e-02 eta: 2 days, 15:25:21 time: 0.3179 data_time: 0.0181 memory: 6334 grad_norm: 2.1943 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4642 loss: 3.4642 2022/08/13 19:41:23 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 9.4096e-02 eta: 2 days, 15:24:54 time: 0.2787 data_time: 0.0175 memory: 6334 grad_norm: 2.1442 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1188 loss: 3.1188 2022/08/13 19:41:51 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 9.4096e-02 eta: 2 days, 15:24:25 time: 0.2781 data_time: 0.0167 memory: 6334 grad_norm: 2.1482 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0960 loss: 3.0960 2022/08/13 19:42:20 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 9.4096e-02 eta: 2 days, 15:23:59 time: 0.2773 data_time: 0.0165 memory: 6334 grad_norm: 2.2058 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0497 loss: 3.0497 2022/08/13 19:42:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:42:48 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 9.4096e-02 eta: 2 days, 15:23:31 time: 0.2813 data_time: 0.0201 memory: 6334 grad_norm: 2.1616 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1985 loss: 3.1985 2022/08/13 19:43:16 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 9.4096e-02 eta: 2 days, 15:23:03 time: 0.2791 data_time: 0.0171 memory: 6334 grad_norm: 2.2149 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1430 loss: 3.1430 2022/08/13 19:43:44 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 9.4096e-02 eta: 2 days, 15:22:35 time: 0.2847 data_time: 0.0181 memory: 6334 grad_norm: 2.2431 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3197 loss: 3.3197 2022/08/13 19:44:13 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 9.4096e-02 eta: 2 days, 15:22:06 time: 0.2806 data_time: 0.0162 memory: 6334 grad_norm: 2.2024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9328 loss: 2.9328 2022/08/13 19:44:41 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 9.4096e-02 eta: 2 days, 15:21:37 time: 0.2784 data_time: 0.0172 memory: 6334 grad_norm: 2.2318 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3562 loss: 3.3562 2022/08/13 19:45:09 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 9.4096e-02 eta: 2 days, 15:21:09 time: 0.2789 data_time: 0.0166 memory: 6334 grad_norm: 2.1841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2889 loss: 3.2889 2022/08/13 19:45:37 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 9.4096e-02 eta: 2 days, 15:20:40 time: 0.2802 data_time: 0.0182 memory: 6334 grad_norm: 2.2069 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2497 loss: 3.2497 2022/08/13 19:46:06 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 9.4096e-02 eta: 2 days, 15:20:13 time: 0.2900 data_time: 0.0177 memory: 6334 grad_norm: 2.3068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1942 loss: 3.1942 2022/08/13 19:46:34 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 9.4096e-02 eta: 2 days, 15:19:45 time: 0.2828 data_time: 0.0176 memory: 6334 grad_norm: 2.2391 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6313 loss: 3.6313 2022/08/13 19:47:02 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 9.4096e-02 eta: 2 days, 15:19:16 time: 0.2772 data_time: 0.0155 memory: 6334 grad_norm: 2.1928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3034 loss: 3.3034 2022/08/13 19:47:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:47:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:47:18 - mmengine - INFO - Epoch(train) [41][3757/3757] lr: 9.4096e-02 eta: 2 days, 15:19:05 time: 0.2614 data_time: 0.0147 memory: 6334 grad_norm: 2.2574 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.3829 loss: 3.3829 2022/08/13 19:47:48 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 9.3804e-02 eta: 2 days, 15:18:17 time: 0.2830 data_time: 0.0168 memory: 6334 grad_norm: 2.2089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1151 loss: 3.1151 2022/08/13 19:48:17 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 9.3804e-02 eta: 2 days, 15:17:49 time: 0.2799 data_time: 0.0187 memory: 6334 grad_norm: 2.2126 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2187 loss: 3.2187 2022/08/13 19:48:45 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 9.3804e-02 eta: 2 days, 15:17:21 time: 0.2842 data_time: 0.0177 memory: 6334 grad_norm: 2.1699 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2175 loss: 3.2175 2022/08/13 19:49:13 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 9.3804e-02 eta: 2 days, 15:16:52 time: 0.2817 data_time: 0.0161 memory: 6334 grad_norm: 2.3246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3287 loss: 3.3287 2022/08/13 19:49:41 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 9.3804e-02 eta: 2 days, 15:16:24 time: 0.2811 data_time: 0.0177 memory: 6334 grad_norm: 2.2965 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4845 loss: 3.4845 2022/08/13 19:50:10 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 9.3804e-02 eta: 2 days, 15:15:56 time: 0.2780 data_time: 0.0167 memory: 6334 grad_norm: 2.2264 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9914 loss: 2.9914 2022/08/13 19:50:38 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 9.3804e-02 eta: 2 days, 15:15:28 time: 0.2830 data_time: 0.0184 memory: 6334 grad_norm: 2.1776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0912 loss: 3.0912 2022/08/13 19:51:07 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 9.3804e-02 eta: 2 days, 15:15:02 time: 0.2810 data_time: 0.0193 memory: 6334 grad_norm: 2.1899 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0675 loss: 3.0675 2022/08/13 19:51:35 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 9.3804e-02 eta: 2 days, 15:14:33 time: 0.2799 data_time: 0.0197 memory: 6334 grad_norm: 2.2408 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0991 loss: 3.0991 2022/08/13 19:51:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:52:03 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 9.3804e-02 eta: 2 days, 15:14:05 time: 0.2794 data_time: 0.0167 memory: 6334 grad_norm: 2.3039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4789 loss: 3.4789 2022/08/13 19:52:31 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 9.3804e-02 eta: 2 days, 15:13:37 time: 0.2779 data_time: 0.0169 memory: 6334 grad_norm: 2.2984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2905 loss: 3.2905 2022/08/13 19:53:00 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 9.3804e-02 eta: 2 days, 15:13:09 time: 0.2810 data_time: 0.0169 memory: 6334 grad_norm: 2.1843 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1926 loss: 3.1926 2022/08/13 19:53:28 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 9.3804e-02 eta: 2 days, 15:12:41 time: 0.2842 data_time: 0.0167 memory: 6334 grad_norm: 2.2392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2256 loss: 3.2256 2022/08/13 19:53:56 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 9.3804e-02 eta: 2 days, 15:12:13 time: 0.2808 data_time: 0.0170 memory: 6334 grad_norm: 2.2479 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4217 loss: 3.4217 2022/08/13 19:54:25 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 9.3804e-02 eta: 2 days, 15:11:47 time: 0.2822 data_time: 0.0178 memory: 6334 grad_norm: 2.3088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2763 loss: 3.2763 2022/08/13 19:54:53 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 9.3804e-02 eta: 2 days, 15:11:19 time: 0.2793 data_time: 0.0172 memory: 6334 grad_norm: 2.2070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6848 loss: 2.6848 2022/08/13 19:55:22 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 9.3804e-02 eta: 2 days, 15:10:50 time: 0.2799 data_time: 0.0178 memory: 6334 grad_norm: 2.2101 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1548 loss: 3.1548 2022/08/13 19:55:50 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 9.3804e-02 eta: 2 days, 15:10:21 time: 0.2797 data_time: 0.0177 memory: 6334 grad_norm: 2.2776 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3238 loss: 3.3238 2022/08/13 19:56:18 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 9.3804e-02 eta: 2 days, 15:09:53 time: 0.2820 data_time: 0.0175 memory: 6334 grad_norm: 2.2141 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2614 loss: 3.2614 2022/08/13 19:56:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 19:56:46 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 9.3804e-02 eta: 2 days, 15:09:26 time: 0.2802 data_time: 0.0179 memory: 6334 grad_norm: 2.1768 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1467 loss: 3.1467 2022/08/13 19:57:15 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 9.3804e-02 eta: 2 days, 15:08:58 time: 0.2794 data_time: 0.0190 memory: 6334 grad_norm: 2.2211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9962 loss: 2.9962 2022/08/13 19:57:43 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 9.3804e-02 eta: 2 days, 15:08:30 time: 0.2785 data_time: 0.0161 memory: 6334 grad_norm: 2.2211 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3816 loss: 3.3816 2022/08/13 19:58:11 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 9.3804e-02 eta: 2 days, 15:08:01 time: 0.2780 data_time: 0.0163 memory: 6334 grad_norm: 2.3496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1680 loss: 3.1680 2022/08/13 19:58:40 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 9.3804e-02 eta: 2 days, 15:07:32 time: 0.2796 data_time: 0.0177 memory: 6334 grad_norm: 2.2292 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2908 loss: 3.2908 2022/08/13 19:59:08 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 9.3804e-02 eta: 2 days, 15:07:05 time: 0.2878 data_time: 0.0178 memory: 6334 grad_norm: 2.2852 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0775 loss: 3.0775 2022/08/13 19:59:36 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 9.3804e-02 eta: 2 days, 15:06:38 time: 0.2843 data_time: 0.0178 memory: 6334 grad_norm: 2.2837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2601 loss: 3.2601 2022/08/13 20:00:05 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 9.3804e-02 eta: 2 days, 15:06:12 time: 0.3077 data_time: 0.0184 memory: 6334 grad_norm: 2.2847 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2877 loss: 3.2877 2022/08/13 20:00:33 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 9.3804e-02 eta: 2 days, 15:05:43 time: 0.2796 data_time: 0.0180 memory: 6334 grad_norm: 2.2168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4378 loss: 3.4378 2022/08/13 20:01:02 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 9.3804e-02 eta: 2 days, 15:05:16 time: 0.2799 data_time: 0.0170 memory: 6334 grad_norm: 2.2732 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4497 loss: 3.4497 2022/08/13 20:01:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:01:30 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 9.3804e-02 eta: 2 days, 15:04:48 time: 0.2810 data_time: 0.0190 memory: 6334 grad_norm: 2.2027 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.6111 loss: 3.6111 2022/08/13 20:01:59 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 9.3804e-02 eta: 2 days, 15:04:21 time: 0.2861 data_time: 0.0176 memory: 6334 grad_norm: 2.2282 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4902 loss: 3.4902 2022/08/13 20:02:27 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 9.3804e-02 eta: 2 days, 15:03:53 time: 0.2796 data_time: 0.0163 memory: 6334 grad_norm: 2.2506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1563 loss: 3.1563 2022/08/13 20:02:55 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 9.3804e-02 eta: 2 days, 15:03:26 time: 0.2880 data_time: 0.0177 memory: 6334 grad_norm: 2.2156 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1730 loss: 3.1730 2022/08/13 20:03:24 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 9.3804e-02 eta: 2 days, 15:02:58 time: 0.2799 data_time: 0.0185 memory: 6334 grad_norm: 2.2587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2308 loss: 3.2308 2022/08/13 20:03:52 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 9.3804e-02 eta: 2 days, 15:02:29 time: 0.2795 data_time: 0.0185 memory: 6334 grad_norm: 2.1104 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3711 loss: 3.3711 2022/08/13 20:04:21 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 9.3804e-02 eta: 2 days, 15:02:03 time: 0.3078 data_time: 0.0170 memory: 6334 grad_norm: 2.2116 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1542 loss: 3.1542 2022/08/13 20:04:49 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 9.3804e-02 eta: 2 days, 15:01:34 time: 0.2805 data_time: 0.0179 memory: 6334 grad_norm: 2.2050 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4306 loss: 3.4306 2022/08/13 20:05:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:05:05 - mmengine - INFO - Epoch(train) [42][3757/3757] lr: 9.3804e-02 eta: 2 days, 15:01:25 time: 0.2596 data_time: 0.0149 memory: 6334 grad_norm: 2.1996 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.3077 loss: 3.3077 2022/08/13 20:05:35 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 9.3504e-02 eta: 2 days, 15:00:39 time: 0.2917 data_time: 0.0174 memory: 6334 grad_norm: 2.2436 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0020 loss: 3.0020 2022/08/13 20:06:04 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 9.3504e-02 eta: 2 days, 15:00:12 time: 0.2794 data_time: 0.0180 memory: 6334 grad_norm: 2.2420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1182 loss: 3.1182 2022/08/13 20:06:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:06:33 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 9.3504e-02 eta: 2 days, 14:59:45 time: 0.2803 data_time: 0.0168 memory: 6334 grad_norm: 2.1728 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0860 loss: 3.0860 2022/08/13 20:07:01 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 9.3504e-02 eta: 2 days, 14:59:16 time: 0.2817 data_time: 0.0175 memory: 6334 grad_norm: 2.2317 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2358 loss: 3.2358 2022/08/13 20:07:29 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 9.3504e-02 eta: 2 days, 14:58:48 time: 0.2787 data_time: 0.0172 memory: 6334 grad_norm: 2.2138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3261 loss: 3.3261 2022/08/13 20:07:57 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 9.3504e-02 eta: 2 days, 14:58:21 time: 0.2830 data_time: 0.0185 memory: 6334 grad_norm: 2.2149 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2224 loss: 3.2224 2022/08/13 20:08:26 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 9.3504e-02 eta: 2 days, 14:57:53 time: 0.2805 data_time: 0.0185 memory: 6334 grad_norm: 2.2205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0201 loss: 3.0201 2022/08/13 20:08:54 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 9.3504e-02 eta: 2 days, 14:57:24 time: 0.2784 data_time: 0.0165 memory: 6334 grad_norm: 2.2218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2979 loss: 3.2979 2022/08/13 20:09:22 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 9.3504e-02 eta: 2 days, 14:56:57 time: 0.2819 data_time: 0.0174 memory: 6334 grad_norm: 2.2077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3756 loss: 3.3756 2022/08/13 20:09:51 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 9.3504e-02 eta: 2 days, 14:56:29 time: 0.2789 data_time: 0.0172 memory: 6334 grad_norm: 2.2469 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2671 loss: 3.2671 2022/08/13 20:10:19 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 9.3504e-02 eta: 2 days, 14:56:01 time: 0.2906 data_time: 0.0194 memory: 6334 grad_norm: 2.2178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.3098 loss: 3.3098 2022/08/13 20:10:47 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 9.3504e-02 eta: 2 days, 14:55:33 time: 0.2808 data_time: 0.0170 memory: 6334 grad_norm: 2.2468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2528 loss: 3.2528 2022/08/13 20:10:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:11:16 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 9.3504e-02 eta: 2 days, 14:55:05 time: 0.2870 data_time: 0.0172 memory: 6334 grad_norm: 2.2276 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0398 loss: 3.0398 2022/08/13 20:11:44 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 9.3504e-02 eta: 2 days, 14:54:36 time: 0.2785 data_time: 0.0171 memory: 6334 grad_norm: 2.2441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3512 loss: 3.3512 2022/08/13 20:12:12 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 9.3504e-02 eta: 2 days, 14:54:07 time: 0.2803 data_time: 0.0173 memory: 6334 grad_norm: 2.2462 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0077 loss: 3.0077 2022/08/13 20:12:42 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 9.3504e-02 eta: 2 days, 14:53:46 time: 0.2794 data_time: 0.0182 memory: 6334 grad_norm: 2.2645 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3192 loss: 3.3192 2022/08/13 20:13:10 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 9.3504e-02 eta: 2 days, 14:53:18 time: 0.2793 data_time: 0.0162 memory: 6334 grad_norm: 2.2211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1245 loss: 3.1245 2022/08/13 20:13:39 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 9.3504e-02 eta: 2 days, 14:52:51 time: 0.2988 data_time: 0.0179 memory: 6334 grad_norm: 2.2526 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1138 loss: 3.1138 2022/08/13 20:14:07 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 9.3504e-02 eta: 2 days, 14:52:22 time: 0.2789 data_time: 0.0164 memory: 6334 grad_norm: 2.1901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9977 loss: 2.9977 2022/08/13 20:14:35 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 9.3504e-02 eta: 2 days, 14:51:54 time: 0.2781 data_time: 0.0178 memory: 6334 grad_norm: 2.2269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5111 loss: 3.5111 2022/08/13 20:15:03 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 9.3504e-02 eta: 2 days, 14:51:27 time: 0.2808 data_time: 0.0174 memory: 6334 grad_norm: 2.3079 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.3806 loss: 3.3806 2022/08/13 20:15:32 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 9.3504e-02 eta: 2 days, 14:50:59 time: 0.2793 data_time: 0.0185 memory: 6334 grad_norm: 2.1661 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3405 loss: 3.3405 2022/08/13 20:15:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:16:00 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 9.3504e-02 eta: 2 days, 14:50:31 time: 0.2891 data_time: 0.0186 memory: 6334 grad_norm: 2.1972 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3135 loss: 3.3135 2022/08/13 20:16:29 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 9.3504e-02 eta: 2 days, 14:50:03 time: 0.2806 data_time: 0.0166 memory: 6334 grad_norm: 2.2315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5488 loss: 3.5488 2022/08/13 20:16:57 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 9.3504e-02 eta: 2 days, 14:49:34 time: 0.2790 data_time: 0.0163 memory: 6334 grad_norm: 2.3051 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3542 loss: 3.3542 2022/08/13 20:17:25 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 9.3504e-02 eta: 2 days, 14:49:06 time: 0.2795 data_time: 0.0177 memory: 6334 grad_norm: 2.2343 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2058 loss: 3.2058 2022/08/13 20:17:53 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 9.3504e-02 eta: 2 days, 14:48:37 time: 0.2800 data_time: 0.0161 memory: 6334 grad_norm: 2.1495 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2930 loss: 3.2930 2022/08/13 20:18:21 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 9.3504e-02 eta: 2 days, 14:48:09 time: 0.2851 data_time: 0.0191 memory: 6334 grad_norm: 2.2140 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2610 loss: 3.2610 2022/08/13 20:18:50 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 9.3504e-02 eta: 2 days, 14:47:41 time: 0.2815 data_time: 0.0168 memory: 6334 grad_norm: 2.2690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5814 loss: 3.5814 2022/08/13 20:19:18 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 9.3504e-02 eta: 2 days, 14:47:12 time: 0.2842 data_time: 0.0185 memory: 6334 grad_norm: 2.2258 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0824 loss: 3.0824 2022/08/13 20:19:46 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 9.3504e-02 eta: 2 days, 14:46:43 time: 0.2782 data_time: 0.0176 memory: 6334 grad_norm: 2.2794 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.2282 loss: 3.2282 2022/08/13 20:20:14 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 9.3504e-02 eta: 2 days, 14:46:14 time: 0.2792 data_time: 0.0172 memory: 6334 grad_norm: 2.2265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0852 loss: 3.0852 2022/08/13 20:20:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:20:43 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 9.3504e-02 eta: 2 days, 14:45:47 time: 0.2792 data_time: 0.0174 memory: 6334 grad_norm: 2.2160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4366 loss: 3.4366 2022/08/13 20:21:11 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 9.3504e-02 eta: 2 days, 14:45:19 time: 0.2784 data_time: 0.0163 memory: 6334 grad_norm: 2.1729 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5135 loss: 3.5135 2022/08/13 20:21:39 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 9.3504e-02 eta: 2 days, 14:44:52 time: 0.2888 data_time: 0.0210 memory: 6334 grad_norm: 2.1964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.5131 loss: 3.5131 2022/08/13 20:22:08 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 9.3504e-02 eta: 2 days, 14:44:23 time: 0.2802 data_time: 0.0173 memory: 6334 grad_norm: 2.2900 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6444 loss: 3.6444 2022/08/13 20:22:36 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 9.3504e-02 eta: 2 days, 14:43:55 time: 0.2785 data_time: 0.0172 memory: 6334 grad_norm: 2.2481 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9841 loss: 2.9841 2022/08/13 20:22:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:22:52 - mmengine - INFO - Epoch(train) [43][3757/3757] lr: 9.3504e-02 eta: 2 days, 14:43:44 time: 0.2606 data_time: 0.0150 memory: 6334 grad_norm: 2.2642 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.4096 loss: 3.4096 2022/08/13 20:23:22 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 9.3199e-02 eta: 2 days, 14:42:58 time: 0.2900 data_time: 0.0178 memory: 6334 grad_norm: 2.3075 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2377 loss: 3.2377 2022/08/13 20:23:50 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 9.3199e-02 eta: 2 days, 14:42:30 time: 0.2806 data_time: 0.0179 memory: 6334 grad_norm: 2.2242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1589 loss: 3.1589 2022/08/13 20:24:19 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 9.3199e-02 eta: 2 days, 14:42:02 time: 0.2848 data_time: 0.0168 memory: 6334 grad_norm: 2.2200 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2804 loss: 3.2804 2022/08/13 20:24:47 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 9.3199e-02 eta: 2 days, 14:41:34 time: 0.2811 data_time: 0.0173 memory: 6334 grad_norm: 2.2761 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3163 loss: 3.3163 2022/08/13 20:25:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:25:16 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 9.3199e-02 eta: 2 days, 14:41:07 time: 0.2795 data_time: 0.0165 memory: 6334 grad_norm: 2.2337 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2051 loss: 3.2051 2022/08/13 20:25:44 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 9.3199e-02 eta: 2 days, 14:40:39 time: 0.2777 data_time: 0.0165 memory: 6334 grad_norm: 2.2323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3364 loss: 3.3364 2022/08/13 20:26:12 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 9.3199e-02 eta: 2 days, 14:40:12 time: 0.2882 data_time: 0.0174 memory: 6334 grad_norm: 2.2787 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9790 loss: 2.9790 2022/08/13 20:26:41 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 9.3199e-02 eta: 2 days, 14:39:44 time: 0.2804 data_time: 0.0169 memory: 6334 grad_norm: 2.1539 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1210 loss: 3.1210 2022/08/13 20:27:09 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 9.3199e-02 eta: 2 days, 14:39:17 time: 0.2841 data_time: 0.0205 memory: 6334 grad_norm: 2.3172 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5119 loss: 3.5119 2022/08/13 20:27:38 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 9.3199e-02 eta: 2 days, 14:38:49 time: 0.2859 data_time: 0.0193 memory: 6334 grad_norm: 2.1983 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2866 loss: 3.2866 2022/08/13 20:28:06 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 9.3199e-02 eta: 2 days, 14:38:20 time: 0.2798 data_time: 0.0176 memory: 6334 grad_norm: 2.2005 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4891 loss: 3.4891 2022/08/13 20:28:34 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 9.3199e-02 eta: 2 days, 14:37:51 time: 0.2804 data_time: 0.0162 memory: 6334 grad_norm: 2.2943 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1587 loss: 3.1587 2022/08/13 20:29:02 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 9.3199e-02 eta: 2 days, 14:37:23 time: 0.2817 data_time: 0.0176 memory: 6334 grad_norm: 2.2234 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6201 loss: 3.6201 2022/08/13 20:29:30 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 9.3199e-02 eta: 2 days, 14:36:54 time: 0.2793 data_time: 0.0162 memory: 6334 grad_norm: 2.2741 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2799 loss: 3.2799 2022/08/13 20:29:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:29:59 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 9.3199e-02 eta: 2 days, 14:36:26 time: 0.2831 data_time: 0.0188 memory: 6334 grad_norm: 2.2708 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2800 loss: 3.2800 2022/08/13 20:30:27 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 9.3199e-02 eta: 2 days, 14:35:57 time: 0.2790 data_time: 0.0171 memory: 6334 grad_norm: 2.3021 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4541 loss: 3.4541 2022/08/13 20:30:55 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 9.3199e-02 eta: 2 days, 14:35:29 time: 0.2806 data_time: 0.0171 memory: 6334 grad_norm: 2.2548 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8567 loss: 2.8567 2022/08/13 20:31:23 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 9.3199e-02 eta: 2 days, 14:35:00 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.1964 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3341 loss: 3.3341 2022/08/13 20:31:51 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 9.3199e-02 eta: 2 days, 14:34:31 time: 0.2818 data_time: 0.0171 memory: 6334 grad_norm: 2.2330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1786 loss: 3.1786 2022/08/13 20:32:20 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 9.3199e-02 eta: 2 days, 14:34:06 time: 0.2867 data_time: 0.0187 memory: 6334 grad_norm: 2.3212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1550 loss: 3.1550 2022/08/13 20:32:48 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 9.3199e-02 eta: 2 days, 14:33:38 time: 0.2835 data_time: 0.0184 memory: 6334 grad_norm: 2.2862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1731 loss: 3.1731 2022/08/13 20:33:17 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 9.3199e-02 eta: 2 days, 14:33:09 time: 0.2793 data_time: 0.0176 memory: 6334 grad_norm: 2.2470 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4637 loss: 3.4637 2022/08/13 20:33:45 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 9.3199e-02 eta: 2 days, 14:32:41 time: 0.2784 data_time: 0.0170 memory: 6334 grad_norm: 2.2573 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2901 loss: 3.2901 2022/08/13 20:34:13 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 9.3199e-02 eta: 2 days, 14:32:13 time: 0.2886 data_time: 0.0189 memory: 6334 grad_norm: 2.2567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0945 loss: 3.0945 2022/08/13 20:34:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:34:41 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 9.3199e-02 eta: 2 days, 14:31:44 time: 0.2804 data_time: 0.0177 memory: 6334 grad_norm: 2.1791 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3536 loss: 3.3536 2022/08/13 20:35:10 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 9.3199e-02 eta: 2 days, 14:31:17 time: 0.2945 data_time: 0.0173 memory: 6334 grad_norm: 2.2245 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1895 loss: 3.1895 2022/08/13 20:35:38 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 9.3199e-02 eta: 2 days, 14:30:50 time: 0.2879 data_time: 0.0199 memory: 6334 grad_norm: 2.3053 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0920 loss: 3.0920 2022/08/13 20:36:07 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 9.3199e-02 eta: 2 days, 14:30:23 time: 0.2809 data_time: 0.0182 memory: 6334 grad_norm: 2.2908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2205 loss: 3.2205 2022/08/13 20:36:36 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 9.3199e-02 eta: 2 days, 14:29:56 time: 0.2800 data_time: 0.0175 memory: 6334 grad_norm: 2.2638 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2088 loss: 3.2088 2022/08/13 20:37:04 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 9.3199e-02 eta: 2 days, 14:29:29 time: 0.2791 data_time: 0.0173 memory: 6334 grad_norm: 2.2057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5500 loss: 2.5500 2022/08/13 20:37:33 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 9.3199e-02 eta: 2 days, 14:29:04 time: 0.2959 data_time: 0.0161 memory: 6334 grad_norm: 2.2237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3223 loss: 3.3223 2022/08/13 20:38:02 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 9.3199e-02 eta: 2 days, 14:28:38 time: 0.3005 data_time: 0.0163 memory: 6334 grad_norm: 2.2471 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1810 loss: 3.1810 2022/08/13 20:38:30 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 9.3199e-02 eta: 2 days, 14:28:09 time: 0.2797 data_time: 0.0167 memory: 6334 grad_norm: 2.2110 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2412 loss: 3.2412 2022/08/13 20:38:58 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 9.3199e-02 eta: 2 days, 14:27:42 time: 0.2874 data_time: 0.0169 memory: 6334 grad_norm: 2.2465 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2133 loss: 3.2133 2022/08/13 20:39:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:39:27 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 9.3199e-02 eta: 2 days, 14:27:14 time: 0.2798 data_time: 0.0180 memory: 6334 grad_norm: 2.2545 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3209 loss: 3.3209 2022/08/13 20:39:55 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 9.3199e-02 eta: 2 days, 14:26:46 time: 0.2794 data_time: 0.0176 memory: 6334 grad_norm: 2.2980 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0344 loss: 3.0344 2022/08/13 20:40:23 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 9.3199e-02 eta: 2 days, 14:26:18 time: 0.2822 data_time: 0.0184 memory: 6334 grad_norm: 2.2129 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1358 loss: 3.1358 2022/08/13 20:40:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:40:39 - mmengine - INFO - Epoch(train) [44][3757/3757] lr: 9.3199e-02 eta: 2 days, 14:26:07 time: 0.2671 data_time: 0.0153 memory: 6334 grad_norm: 2.2668 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.2415 loss: 3.2415 2022/08/13 20:40:39 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/13 20:41:15 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 9.2886e-02 eta: 2 days, 14:25:17 time: 0.2797 data_time: 0.0167 memory: 6334 grad_norm: 2.2087 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2810 loss: 3.2810 2022/08/13 20:41:44 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 9.2886e-02 eta: 2 days, 14:24:53 time: 0.3004 data_time: 0.0191 memory: 6334 grad_norm: 2.2600 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2266 loss: 3.2266 2022/08/13 20:42:13 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 9.2886e-02 eta: 2 days, 14:24:27 time: 0.2825 data_time: 0.0169 memory: 6334 grad_norm: 2.2698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3248 loss: 3.3248 2022/08/13 20:42:41 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 9.2886e-02 eta: 2 days, 14:23:59 time: 0.2856 data_time: 0.0172 memory: 6334 grad_norm: 2.3373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1779 loss: 3.1779 2022/08/13 20:43:09 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 9.2886e-02 eta: 2 days, 14:23:31 time: 0.2827 data_time: 0.0167 memory: 6334 grad_norm: 2.2938 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2082 loss: 3.2082 2022/08/13 20:43:38 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 9.2886e-02 eta: 2 days, 14:23:04 time: 0.2796 data_time: 0.0168 memory: 6334 grad_norm: 2.2090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1478 loss: 3.1478 2022/08/13 20:44:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:44:06 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 9.2886e-02 eta: 2 days, 14:22:36 time: 0.2795 data_time: 0.0172 memory: 6334 grad_norm: 2.2423 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2987 loss: 3.2987 2022/08/13 20:44:34 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 9.2886e-02 eta: 2 days, 14:22:08 time: 0.2779 data_time: 0.0181 memory: 6334 grad_norm: 2.2547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4555 loss: 3.4555 2022/08/13 20:45:03 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 9.2886e-02 eta: 2 days, 14:21:40 time: 0.2828 data_time: 0.0182 memory: 6334 grad_norm: 2.2363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9289 loss: 2.9289 2022/08/13 20:45:32 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 9.2886e-02 eta: 2 days, 14:21:14 time: 0.2792 data_time: 0.0169 memory: 6334 grad_norm: 2.2018 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9407 loss: 2.9407 2022/08/13 20:46:00 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 9.2886e-02 eta: 2 days, 14:20:47 time: 0.3006 data_time: 0.0187 memory: 6334 grad_norm: 2.2224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9759 loss: 2.9759 2022/08/13 20:46:29 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 9.2886e-02 eta: 2 days, 14:20:23 time: 0.2787 data_time: 0.0178 memory: 6334 grad_norm: 2.1868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4237 loss: 3.4237 2022/08/13 20:46:58 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 9.2886e-02 eta: 2 days, 14:19:55 time: 0.2797 data_time: 0.0170 memory: 6334 grad_norm: 2.2355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4296 loss: 3.4296 2022/08/13 20:47:26 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 9.2886e-02 eta: 2 days, 14:19:28 time: 0.2803 data_time: 0.0164 memory: 6334 grad_norm: 2.2768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3015 loss: 3.3015 2022/08/13 20:47:55 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 9.2886e-02 eta: 2 days, 14:19:01 time: 0.2948 data_time: 0.0175 memory: 6334 grad_norm: 2.2526 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2378 loss: 3.2378 2022/08/13 20:48:23 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 9.2886e-02 eta: 2 days, 14:18:34 time: 0.2829 data_time: 0.0201 memory: 6334 grad_norm: 2.2038 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1880 loss: 3.1880 2022/08/13 20:48:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:48:52 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 9.2886e-02 eta: 2 days, 14:18:07 time: 0.2959 data_time: 0.0209 memory: 6334 grad_norm: 2.2328 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1722 loss: 3.1722 2022/08/13 20:49:20 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 9.2886e-02 eta: 2 days, 14:17:40 time: 0.2799 data_time: 0.0167 memory: 6334 grad_norm: 2.2047 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1636 loss: 3.1636 2022/08/13 20:49:49 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 9.2886e-02 eta: 2 days, 14:17:12 time: 0.2799 data_time: 0.0168 memory: 6334 grad_norm: 2.2397 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2627 loss: 3.2627 2022/08/13 20:50:17 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 9.2886e-02 eta: 2 days, 14:16:44 time: 0.2789 data_time: 0.0166 memory: 6334 grad_norm: 2.2416 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1565 loss: 3.1565 2022/08/13 20:50:46 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 9.2886e-02 eta: 2 days, 14:16:19 time: 0.2769 data_time: 0.0164 memory: 6334 grad_norm: 2.1949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0650 loss: 3.0650 2022/08/13 20:51:14 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 9.2886e-02 eta: 2 days, 14:15:51 time: 0.2825 data_time: 0.0178 memory: 6334 grad_norm: 2.2275 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1329 loss: 3.1329 2022/08/13 20:51:42 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 9.2886e-02 eta: 2 days, 14:15:22 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.2286 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2111 loss: 3.2111 2022/08/13 20:52:11 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 9.2886e-02 eta: 2 days, 14:14:54 time: 0.2823 data_time: 0.0186 memory: 6334 grad_norm: 2.2866 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3277 loss: 3.3277 2022/08/13 20:52:39 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 9.2886e-02 eta: 2 days, 14:14:25 time: 0.2794 data_time: 0.0177 memory: 6334 grad_norm: 2.1890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1757 loss: 3.1757 2022/08/13 20:53:07 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 9.2886e-02 eta: 2 days, 14:13:57 time: 0.2800 data_time: 0.0178 memory: 6334 grad_norm: 2.2298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0783 loss: 3.0783 2022/08/13 20:53:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:53:35 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 9.2886e-02 eta: 2 days, 14:13:28 time: 0.2804 data_time: 0.0178 memory: 6334 grad_norm: 2.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3427 loss: 3.3427 2022/08/13 20:54:04 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 9.2886e-02 eta: 2 days, 14:13:00 time: 0.2815 data_time: 0.0179 memory: 6334 grad_norm: 2.2647 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4190 loss: 3.4190 2022/08/13 20:54:32 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 9.2886e-02 eta: 2 days, 14:12:31 time: 0.2858 data_time: 0.0186 memory: 6334 grad_norm: 2.2361 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1796 loss: 3.1796 2022/08/13 20:55:00 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 9.2886e-02 eta: 2 days, 14:12:04 time: 0.2959 data_time: 0.0167 memory: 6334 grad_norm: 2.2812 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2354 loss: 3.2354 2022/08/13 20:55:29 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 9.2886e-02 eta: 2 days, 14:11:37 time: 0.2781 data_time: 0.0160 memory: 6334 grad_norm: 2.2883 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.1306 loss: 3.1306 2022/08/13 20:55:57 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 9.2886e-02 eta: 2 days, 14:11:08 time: 0.2794 data_time: 0.0174 memory: 6334 grad_norm: 2.2944 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3417 loss: 3.3417 2022/08/13 20:56:25 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 9.2886e-02 eta: 2 days, 14:10:40 time: 0.2817 data_time: 0.0170 memory: 6334 grad_norm: 2.1789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1448 loss: 3.1448 2022/08/13 20:56:54 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 9.2886e-02 eta: 2 days, 14:10:13 time: 0.2940 data_time: 0.0181 memory: 6334 grad_norm: 2.1965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1349 loss: 3.1349 2022/08/13 20:57:22 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 9.2886e-02 eta: 2 days, 14:09:44 time: 0.2841 data_time: 0.0181 memory: 6334 grad_norm: 2.2281 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8595 loss: 2.8595 2022/08/13 20:57:50 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 9.2886e-02 eta: 2 days, 14:09:17 time: 0.2876 data_time: 0.0172 memory: 6334 grad_norm: 2.2103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.2682 loss: 3.2682 2022/08/13 20:58:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:58:18 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 9.2886e-02 eta: 2 days, 14:08:48 time: 0.2778 data_time: 0.0165 memory: 6334 grad_norm: 2.1593 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5199 loss: 3.5199 2022/08/13 20:58:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 20:58:36 - mmengine - INFO - Epoch(train) [45][3757/3757] lr: 9.2886e-02 eta: 2 days, 14:08:38 time: 0.3349 data_time: 0.0133 memory: 6334 grad_norm: 2.2920 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.7940 loss: 2.7940 2022/08/13 20:58:58 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:00:45 time: 0.2154 data_time: 0.1202 memory: 1152 2022/08/13 20:59:19 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:19 time: 0.1805 data_time: 0.0831 memory: 1152 2022/08/13 20:59:39 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:02 time: 0.2020 data_time: 0.1019 memory: 1152 2022/08/13 20:59:44 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.3481 acc/top5: 0.6311 acc/mean1: 0.3479 2022/08/13 21:00:15 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 9.2568e-02 eta: 2 days, 14:07:52 time: 0.2867 data_time: 0.0170 memory: 6334 grad_norm: 2.2148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2008 loss: 3.2008 2022/08/13 21:00:44 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 9.2568e-02 eta: 2 days, 14:07:26 time: 0.2787 data_time: 0.0167 memory: 6334 grad_norm: 2.2633 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1380 loss: 3.1380 2022/08/13 21:01:12 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 9.2568e-02 eta: 2 days, 14:06:58 time: 0.2842 data_time: 0.0211 memory: 6334 grad_norm: 2.2903 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2255 loss: 3.2255 2022/08/13 21:01:40 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 9.2568e-02 eta: 2 days, 14:06:29 time: 0.2791 data_time: 0.0169 memory: 6334 grad_norm: 2.2121 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2096 loss: 3.2096 2022/08/13 21:02:09 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 9.2568e-02 eta: 2 days, 14:06:04 time: 0.2792 data_time: 0.0182 memory: 6334 grad_norm: 2.3306 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0785 loss: 3.0785 2022/08/13 21:02:38 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 9.2568e-02 eta: 2 days, 14:05:37 time: 0.2811 data_time: 0.0184 memory: 6334 grad_norm: 2.2277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1124 loss: 3.1124 2022/08/13 21:03:06 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 9.2568e-02 eta: 2 days, 14:05:08 time: 0.2813 data_time: 0.0210 memory: 6334 grad_norm: 2.2685 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4106 loss: 3.4106 2022/08/13 21:03:35 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 9.2568e-02 eta: 2 days, 14:04:45 time: 0.3035 data_time: 0.0178 memory: 6334 grad_norm: 2.2172 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1971 loss: 3.1971 2022/08/13 21:04:04 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 9.2568e-02 eta: 2 days, 14:04:18 time: 0.2826 data_time: 0.0200 memory: 6334 grad_norm: 2.2600 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0959 loss: 3.0959 2022/08/13 21:04:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:04:32 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 9.2568e-02 eta: 2 days, 14:03:50 time: 0.2865 data_time: 0.0191 memory: 6334 grad_norm: 2.2063 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3008 loss: 3.3008 2022/08/13 21:05:00 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 9.2568e-02 eta: 2 days, 14:03:22 time: 0.2783 data_time: 0.0174 memory: 6334 grad_norm: 2.2091 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9045 loss: 2.9045 2022/08/13 21:05:28 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 9.2568e-02 eta: 2 days, 14:02:53 time: 0.2793 data_time: 0.0165 memory: 6334 grad_norm: 2.2206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2138 loss: 3.2138 2022/08/13 21:05:57 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 9.2568e-02 eta: 2 days, 14:02:27 time: 0.2794 data_time: 0.0176 memory: 6334 grad_norm: 2.2488 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2068 loss: 3.2068 2022/08/13 21:06:25 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 9.2568e-02 eta: 2 days, 14:01:58 time: 0.2801 data_time: 0.0174 memory: 6334 grad_norm: 2.2753 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0932 loss: 3.0932 2022/08/13 21:06:54 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 9.2568e-02 eta: 2 days, 14:01:30 time: 0.2871 data_time: 0.0199 memory: 6334 grad_norm: 2.3126 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3628 loss: 3.3628 2022/08/13 21:07:22 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 9.2568e-02 eta: 2 days, 14:01:02 time: 0.2820 data_time: 0.0171 memory: 6334 grad_norm: 2.2929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4149 loss: 3.4149 2022/08/13 21:07:50 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 9.2568e-02 eta: 2 days, 14:00:33 time: 0.2809 data_time: 0.0172 memory: 6334 grad_norm: 2.2355 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.1379 loss: 3.1379 2022/08/13 21:08:19 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 9.2568e-02 eta: 2 days, 14:00:06 time: 0.2796 data_time: 0.0179 memory: 6334 grad_norm: 2.2727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2740 loss: 3.2740 2022/08/13 21:08:47 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 9.2568e-02 eta: 2 days, 13:59:38 time: 0.2789 data_time: 0.0173 memory: 6334 grad_norm: 2.2847 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2905 loss: 3.2905 2022/08/13 21:08:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:09:15 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 9.2568e-02 eta: 2 days, 13:59:10 time: 0.2815 data_time: 0.0190 memory: 6334 grad_norm: 2.2776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0329 loss: 3.0329 2022/08/13 21:09:43 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 9.2568e-02 eta: 2 days, 13:58:41 time: 0.2805 data_time: 0.0174 memory: 6334 grad_norm: 2.2591 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4161 loss: 3.4161 2022/08/13 21:10:12 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 9.2568e-02 eta: 2 days, 13:58:12 time: 0.2799 data_time: 0.0183 memory: 6334 grad_norm: 2.2637 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1205 loss: 3.1205 2022/08/13 21:10:40 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 9.2568e-02 eta: 2 days, 13:57:45 time: 0.2805 data_time: 0.0175 memory: 6334 grad_norm: 2.1861 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1830 loss: 3.1830 2022/08/13 21:11:08 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 9.2568e-02 eta: 2 days, 13:57:16 time: 0.2813 data_time: 0.0176 memory: 6334 grad_norm: 2.2171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0005 loss: 3.0005 2022/08/13 21:11:37 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 9.2568e-02 eta: 2 days, 13:56:49 time: 0.2809 data_time: 0.0182 memory: 6334 grad_norm: 2.1759 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0766 loss: 3.0766 2022/08/13 21:12:05 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 9.2568e-02 eta: 2 days, 13:56:23 time: 0.2960 data_time: 0.0186 memory: 6334 grad_norm: 2.2575 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0106 loss: 3.0106 2022/08/13 21:12:34 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 9.2568e-02 eta: 2 days, 13:55:55 time: 0.2861 data_time: 0.0192 memory: 6334 grad_norm: 2.3396 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1565 loss: 3.1565 2022/08/13 21:13:02 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 9.2568e-02 eta: 2 days, 13:55:27 time: 0.2864 data_time: 0.0174 memory: 6334 grad_norm: 2.2106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8923 loss: 2.8923 2022/08/13 21:13:31 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 9.2568e-02 eta: 2 days, 13:54:59 time: 0.2775 data_time: 0.0176 memory: 6334 grad_norm: 2.2201 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2914 loss: 3.2914 2022/08/13 21:13:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:13:59 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 9.2568e-02 eta: 2 days, 13:54:31 time: 0.2790 data_time: 0.0167 memory: 6334 grad_norm: 2.1737 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3096 loss: 3.3096 2022/08/13 21:14:28 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 9.2568e-02 eta: 2 days, 13:54:05 time: 0.2809 data_time: 0.0172 memory: 6334 grad_norm: 2.1877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1139 loss: 3.1139 2022/08/13 21:14:56 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 9.2568e-02 eta: 2 days, 13:53:37 time: 0.2855 data_time: 0.0188 memory: 6334 grad_norm: 2.2137 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3536 loss: 3.3536 2022/08/13 21:15:24 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 9.2568e-02 eta: 2 days, 13:53:09 time: 0.2872 data_time: 0.0174 memory: 6334 grad_norm: 2.2546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4287 loss: 3.4287 2022/08/13 21:15:53 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 9.2568e-02 eta: 2 days, 13:52:41 time: 0.2813 data_time: 0.0178 memory: 6334 grad_norm: 2.1894 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2520 loss: 3.2520 2022/08/13 21:16:21 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 9.2568e-02 eta: 2 days, 13:52:12 time: 0.2788 data_time: 0.0172 memory: 6334 grad_norm: 2.1955 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1834 loss: 3.1834 2022/08/13 21:16:49 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 9.2568e-02 eta: 2 days, 13:51:44 time: 0.2785 data_time: 0.0172 memory: 6334 grad_norm: 2.2461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2822 loss: 3.2822 2022/08/13 21:17:17 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 9.2568e-02 eta: 2 days, 13:51:15 time: 0.2775 data_time: 0.0173 memory: 6334 grad_norm: 2.2096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2102 loss: 3.2102 2022/08/13 21:17:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:17:33 - mmengine - INFO - Epoch(train) [46][3757/3757] lr: 9.2568e-02 eta: 2 days, 13:51:04 time: 0.2595 data_time: 0.0150 memory: 6334 grad_norm: 2.2609 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.2820 loss: 3.2820 2022/08/13 21:18:03 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 9.2243e-02 eta: 2 days, 13:50:18 time: 0.2841 data_time: 0.0187 memory: 6334 grad_norm: 2.2681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1892 loss: 3.1892 2022/08/13 21:18:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:18:32 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 9.2243e-02 eta: 2 days, 13:49:50 time: 0.2804 data_time: 0.0171 memory: 6334 grad_norm: 2.2101 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2828 loss: 3.2828 2022/08/13 21:19:00 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 9.2243e-02 eta: 2 days, 13:49:22 time: 0.2791 data_time: 0.0169 memory: 6334 grad_norm: 2.2413 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3581 loss: 3.3581 2022/08/13 21:19:28 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 9.2243e-02 eta: 2 days, 13:48:55 time: 0.2788 data_time: 0.0178 memory: 6334 grad_norm: 2.2261 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2453 loss: 3.2453 2022/08/13 21:19:57 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 9.2243e-02 eta: 2 days, 13:48:27 time: 0.2832 data_time: 0.0182 memory: 6334 grad_norm: 2.1695 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1863 loss: 3.1863 2022/08/13 21:20:25 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 9.2243e-02 eta: 2 days, 13:47:59 time: 0.2877 data_time: 0.0174 memory: 6334 grad_norm: 2.2214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1271 loss: 3.1271 2022/08/13 21:20:53 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 9.2243e-02 eta: 2 days, 13:47:30 time: 0.2791 data_time: 0.0179 memory: 6334 grad_norm: 2.2474 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0337 loss: 3.0337 2022/08/13 21:21:22 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 9.2243e-02 eta: 2 days, 13:47:02 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.3209 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3715 loss: 3.3715 2022/08/13 21:21:50 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 9.2243e-02 eta: 2 days, 13:46:37 time: 0.2797 data_time: 0.0176 memory: 6334 grad_norm: 2.2060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1869 loss: 3.1869 2022/08/13 21:22:19 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 9.2243e-02 eta: 2 days, 13:46:11 time: 0.2792 data_time: 0.0178 memory: 6334 grad_norm: 2.2027 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2305 loss: 3.2305 2022/08/13 21:22:47 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 9.2243e-02 eta: 2 days, 13:45:42 time: 0.2812 data_time: 0.0179 memory: 6334 grad_norm: 2.2189 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0028 loss: 3.0028 2022/08/13 21:23:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:23:16 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 9.2243e-02 eta: 2 days, 13:45:15 time: 0.2809 data_time: 0.0174 memory: 6334 grad_norm: 2.2020 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2404 loss: 3.2404 2022/08/13 21:23:44 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 9.2243e-02 eta: 2 days, 13:44:47 time: 0.2823 data_time: 0.0176 memory: 6334 grad_norm: 2.2721 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1443 loss: 3.1443 2022/08/13 21:24:13 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 9.2243e-02 eta: 2 days, 13:44:19 time: 0.2833 data_time: 0.0169 memory: 6334 grad_norm: 2.2619 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3095 loss: 3.3095 2022/08/13 21:24:41 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 9.2243e-02 eta: 2 days, 13:43:51 time: 0.2827 data_time: 0.0178 memory: 6334 grad_norm: 2.1724 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1469 loss: 3.1469 2022/08/13 21:25:09 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 9.2243e-02 eta: 2 days, 13:43:23 time: 0.2797 data_time: 0.0184 memory: 6334 grad_norm: 2.1981 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0844 loss: 3.0844 2022/08/13 21:25:38 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 9.2243e-02 eta: 2 days, 13:42:56 time: 0.2847 data_time: 0.0179 memory: 6334 grad_norm: 2.2893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1448 loss: 3.1448 2022/08/13 21:26:06 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 9.2243e-02 eta: 2 days, 13:42:27 time: 0.2797 data_time: 0.0173 memory: 6334 grad_norm: 2.2217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4506 loss: 3.4506 2022/08/13 21:26:34 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 9.2243e-02 eta: 2 days, 13:42:00 time: 0.2908 data_time: 0.0191 memory: 6334 grad_norm: 2.1969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3294 loss: 3.3294 2022/08/13 21:27:03 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 9.2243e-02 eta: 2 days, 13:41:32 time: 0.2788 data_time: 0.0167 memory: 6334 grad_norm: 2.2794 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1848 loss: 3.1848 2022/08/13 21:27:31 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 9.2243e-02 eta: 2 days, 13:41:04 time: 0.2803 data_time: 0.0175 memory: 6334 grad_norm: 2.2195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0500 loss: 3.0500 2022/08/13 21:27:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:28:00 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 9.2243e-02 eta: 2 days, 13:40:37 time: 0.2803 data_time: 0.0167 memory: 6334 grad_norm: 2.1916 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0292 loss: 3.0292 2022/08/13 21:28:28 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 9.2243e-02 eta: 2 days, 13:40:09 time: 0.2797 data_time: 0.0171 memory: 6334 grad_norm: 2.2552 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5965 loss: 3.5965 2022/08/13 21:28:56 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 9.2243e-02 eta: 2 days, 13:39:41 time: 0.2821 data_time: 0.0167 memory: 6334 grad_norm: 2.2476 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2382 loss: 3.2382 2022/08/13 21:29:25 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 9.2243e-02 eta: 2 days, 13:39:15 time: 0.2942 data_time: 0.0179 memory: 6334 grad_norm: 2.2581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2142 loss: 3.2142 2022/08/13 21:29:53 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 9.2243e-02 eta: 2 days, 13:38:46 time: 0.2804 data_time: 0.0173 memory: 6334 grad_norm: 2.1621 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0289 loss: 3.0289 2022/08/13 21:30:22 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 9.2243e-02 eta: 2 days, 13:38:18 time: 0.2818 data_time: 0.0185 memory: 6334 grad_norm: 2.2468 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1538 loss: 3.1538 2022/08/13 21:30:50 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 9.2243e-02 eta: 2 days, 13:37:51 time: 0.2791 data_time: 0.0180 memory: 6334 grad_norm: 2.2038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8153 loss: 2.8153 2022/08/13 21:31:19 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 9.2243e-02 eta: 2 days, 13:37:23 time: 0.2894 data_time: 0.0199 memory: 6334 grad_norm: 2.2215 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9119 loss: 2.9119 2022/08/13 21:31:47 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 9.2243e-02 eta: 2 days, 13:36:55 time: 0.2801 data_time: 0.0170 memory: 6334 grad_norm: 2.2908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9420 loss: 2.9420 2022/08/13 21:32:15 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 9.2243e-02 eta: 2 days, 13:36:28 time: 0.2811 data_time: 0.0174 memory: 6334 grad_norm: 2.2391 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1049 loss: 3.1049 2022/08/13 21:32:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:32:44 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 9.2243e-02 eta: 2 days, 13:36:00 time: 0.2888 data_time: 0.0181 memory: 6334 grad_norm: 2.2454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1141 loss: 3.1141 2022/08/13 21:33:12 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 9.2243e-02 eta: 2 days, 13:35:33 time: 0.2805 data_time: 0.0203 memory: 6334 grad_norm: 2.2045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8063 loss: 2.8063 2022/08/13 21:33:41 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 9.2243e-02 eta: 2 days, 13:35:05 time: 0.2789 data_time: 0.0166 memory: 6334 grad_norm: 2.0991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3750 loss: 3.3750 2022/08/13 21:34:10 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 9.2243e-02 eta: 2 days, 13:34:40 time: 0.3165 data_time: 0.0179 memory: 6334 grad_norm: 2.2432 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5535 loss: 3.5535 2022/08/13 21:34:38 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 9.2243e-02 eta: 2 days, 13:34:14 time: 0.2807 data_time: 0.0173 memory: 6334 grad_norm: 2.2263 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2397 loss: 3.2397 2022/08/13 21:35:07 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 9.2243e-02 eta: 2 days, 13:33:46 time: 0.2871 data_time: 0.0179 memory: 6334 grad_norm: 2.2029 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3634 loss: 3.3634 2022/08/13 21:35:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:35:23 - mmengine - INFO - Epoch(train) [47][3757/3757] lr: 9.2243e-02 eta: 2 days, 13:33:35 time: 0.2626 data_time: 0.0141 memory: 6334 grad_norm: 2.2594 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 3.2077 loss: 3.2077 2022/08/13 21:35:53 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 9.1911e-02 eta: 2 days, 13:32:51 time: 0.2808 data_time: 0.0164 memory: 6334 grad_norm: 2.2099 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0296 loss: 3.0296 2022/08/13 21:36:22 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 9.1911e-02 eta: 2 days, 13:32:23 time: 0.2796 data_time: 0.0168 memory: 6334 grad_norm: 2.2207 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1146 loss: 3.1146 2022/08/13 21:36:50 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 9.1911e-02 eta: 2 days, 13:31:56 time: 0.2805 data_time: 0.0178 memory: 6334 grad_norm: 2.2806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1572 loss: 3.1572 2022/08/13 21:37:19 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 9.1911e-02 eta: 2 days, 13:31:29 time: 0.2854 data_time: 0.0171 memory: 6334 grad_norm: 2.2762 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4342 loss: 3.4342 2022/08/13 21:37:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:37:47 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 9.1911e-02 eta: 2 days, 13:31:01 time: 0.2852 data_time: 0.0166 memory: 6334 grad_norm: 2.2574 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0134 loss: 3.0134 2022/08/13 21:38:16 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 9.1911e-02 eta: 2 days, 13:30:34 time: 0.2780 data_time: 0.0167 memory: 6334 grad_norm: 2.2542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0778 loss: 3.0778 2022/08/13 21:38:44 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 9.1911e-02 eta: 2 days, 13:30:05 time: 0.2790 data_time: 0.0176 memory: 6334 grad_norm: 2.2156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0796 loss: 3.0796 2022/08/13 21:39:13 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 9.1911e-02 eta: 2 days, 13:29:41 time: 0.2829 data_time: 0.0182 memory: 6334 grad_norm: 2.2629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1846 loss: 3.1846 2022/08/13 21:39:41 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 9.1911e-02 eta: 2 days, 13:29:13 time: 0.2797 data_time: 0.0172 memory: 6334 grad_norm: 2.2383 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8948 loss: 2.8948 2022/08/13 21:40:10 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 9.1911e-02 eta: 2 days, 13:28:47 time: 0.2786 data_time: 0.0171 memory: 6334 grad_norm: 2.2150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0890 loss: 3.0890 2022/08/13 21:40:38 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 9.1911e-02 eta: 2 days, 13:28:18 time: 0.2796 data_time: 0.0182 memory: 6334 grad_norm: 2.2834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0847 loss: 3.0847 2022/08/13 21:41:07 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 9.1911e-02 eta: 2 days, 13:27:51 time: 0.2905 data_time: 0.0168 memory: 6334 grad_norm: 2.2889 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0676 loss: 3.0676 2022/08/13 21:41:35 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 9.1911e-02 eta: 2 days, 13:27:23 time: 0.2780 data_time: 0.0158 memory: 6334 grad_norm: 2.2608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2139 loss: 3.2139 2022/08/13 21:42:03 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 9.1911e-02 eta: 2 days, 13:26:54 time: 0.2797 data_time: 0.0169 memory: 6334 grad_norm: 2.1877 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8904 loss: 2.8904 2022/08/13 21:42:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:42:32 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 9.1911e-02 eta: 2 days, 13:26:28 time: 0.2787 data_time: 0.0165 memory: 6334 grad_norm: 2.1922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9991 loss: 2.9991 2022/08/13 21:43:01 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 9.1911e-02 eta: 2 days, 13:26:01 time: 0.2804 data_time: 0.0174 memory: 6334 grad_norm: 2.2131 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4128 loss: 3.4128 2022/08/13 21:43:29 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 9.1911e-02 eta: 2 days, 13:25:35 time: 0.3014 data_time: 0.0180 memory: 6334 grad_norm: 2.2009 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1482 loss: 3.1482 2022/08/13 21:43:58 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 9.1911e-02 eta: 2 days, 13:25:08 time: 0.2813 data_time: 0.0167 memory: 6334 grad_norm: 2.1849 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9799 loss: 2.9799 2022/08/13 21:44:26 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 9.1911e-02 eta: 2 days, 13:24:41 time: 0.2852 data_time: 0.0178 memory: 6334 grad_norm: 2.2306 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2349 loss: 3.2349 2022/08/13 21:44:55 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 9.1911e-02 eta: 2 days, 13:24:13 time: 0.2794 data_time: 0.0157 memory: 6334 grad_norm: 2.1831 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3576 loss: 3.3576 2022/08/13 21:45:23 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 9.1911e-02 eta: 2 days, 13:23:45 time: 0.2790 data_time: 0.0161 memory: 6334 grad_norm: 2.2564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3377 loss: 3.3377 2022/08/13 21:45:51 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 9.1911e-02 eta: 2 days, 13:23:17 time: 0.2817 data_time: 0.0183 memory: 6334 grad_norm: 2.2976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2443 loss: 3.2443 2022/08/13 21:46:20 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 9.1911e-02 eta: 2 days, 13:22:49 time: 0.2863 data_time: 0.0173 memory: 6334 grad_norm: 2.2574 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1201 loss: 3.1201 2022/08/13 21:46:48 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 9.1911e-02 eta: 2 days, 13:22:20 time: 0.2803 data_time: 0.0177 memory: 6334 grad_norm: 2.2943 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2425 loss: 3.2425 2022/08/13 21:46:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:47:16 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 9.1911e-02 eta: 2 days, 13:21:52 time: 0.2847 data_time: 0.0172 memory: 6334 grad_norm: 2.2376 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2847 loss: 3.2847 2022/08/13 21:47:45 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 9.1911e-02 eta: 2 days, 13:21:24 time: 0.2814 data_time: 0.0170 memory: 6334 grad_norm: 2.2560 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1686 loss: 3.1686 2022/08/13 21:48:13 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 9.1911e-02 eta: 2 days, 13:20:56 time: 0.2809 data_time: 0.0157 memory: 6334 grad_norm: 2.2180 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1222 loss: 3.1222 2022/08/13 21:48:41 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 9.1911e-02 eta: 2 days, 13:20:28 time: 0.2821 data_time: 0.0173 memory: 6334 grad_norm: 2.1810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2735 loss: 3.2735 2022/08/13 21:49:10 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 9.1911e-02 eta: 2 days, 13:20:02 time: 0.2971 data_time: 0.0171 memory: 6334 grad_norm: 2.3132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1259 loss: 3.1259 2022/08/13 21:49:38 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 9.1911e-02 eta: 2 days, 13:19:34 time: 0.2856 data_time: 0.0188 memory: 6334 grad_norm: 2.2668 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9354 loss: 2.9354 2022/08/13 21:50:07 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 9.1911e-02 eta: 2 days, 13:19:06 time: 0.2853 data_time: 0.0183 memory: 6334 grad_norm: 2.3493 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3405 loss: 3.3405 2022/08/13 21:50:35 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 9.1911e-02 eta: 2 days, 13:18:38 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.2156 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9964 loss: 2.9964 2022/08/13 21:51:03 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 9.1911e-02 eta: 2 days, 13:18:10 time: 0.2783 data_time: 0.0169 memory: 6334 grad_norm: 2.3076 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0954 loss: 3.0954 2022/08/13 21:51:32 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 9.1911e-02 eta: 2 days, 13:17:43 time: 0.2807 data_time: 0.0172 memory: 6334 grad_norm: 2.2436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3699 loss: 3.3699 2022/08/13 21:51:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:52:00 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 9.1911e-02 eta: 2 days, 13:17:16 time: 0.2848 data_time: 0.0187 memory: 6334 grad_norm: 2.2619 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4189 loss: 3.4189 2022/08/13 21:52:29 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 9.1911e-02 eta: 2 days, 13:16:48 time: 0.2818 data_time: 0.0169 memory: 6334 grad_norm: 2.1858 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0858 loss: 3.0858 2022/08/13 21:52:57 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 9.1911e-02 eta: 2 days, 13:16:20 time: 0.2813 data_time: 0.0168 memory: 6334 grad_norm: 2.2376 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1056 loss: 3.1056 2022/08/13 21:53:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:53:13 - mmengine - INFO - Epoch(train) [48][3757/3757] lr: 9.1911e-02 eta: 2 days, 13:16:09 time: 0.2614 data_time: 0.0159 memory: 6334 grad_norm: 2.3296 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.2728 loss: 3.2728 2022/08/13 21:53:13 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/13 21:53:47 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 9.1573e-02 eta: 2 days, 13:15:19 time: 0.2897 data_time: 0.0181 memory: 6334 grad_norm: 2.2471 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8346 loss: 2.8346 2022/08/13 21:54:16 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 9.1573e-02 eta: 2 days, 13:14:52 time: 0.2827 data_time: 0.0172 memory: 6334 grad_norm: 2.2649 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0443 loss: 3.0443 2022/08/13 21:54:44 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 9.1573e-02 eta: 2 days, 13:14:24 time: 0.2799 data_time: 0.0162 memory: 6334 grad_norm: 2.2883 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3140 loss: 3.3140 2022/08/13 21:55:12 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 9.1573e-02 eta: 2 days, 13:13:55 time: 0.2791 data_time: 0.0175 memory: 6334 grad_norm: 2.2396 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4995 loss: 3.4995 2022/08/13 21:55:41 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 9.1573e-02 eta: 2 days, 13:13:27 time: 0.2873 data_time: 0.0181 memory: 6334 grad_norm: 2.2867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1611 loss: 3.1611 2022/08/13 21:56:09 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 9.1573e-02 eta: 2 days, 13:13:00 time: 0.2818 data_time: 0.0192 memory: 6334 grad_norm: 2.1855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3388 loss: 3.3388 2022/08/13 21:56:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 21:56:37 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 9.1573e-02 eta: 2 days, 13:12:32 time: 0.2800 data_time: 0.0174 memory: 6334 grad_norm: 2.2177 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0392 loss: 3.0392 2022/08/13 21:57:06 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 9.1573e-02 eta: 2 days, 13:12:04 time: 0.2802 data_time: 0.0162 memory: 6334 grad_norm: 2.2439 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2404 loss: 3.2404 2022/08/13 21:57:34 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 9.1573e-02 eta: 2 days, 13:11:37 time: 0.2804 data_time: 0.0160 memory: 6334 grad_norm: 2.2518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9830 loss: 2.9830 2022/08/13 21:58:03 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 9.1573e-02 eta: 2 days, 13:11:09 time: 0.2786 data_time: 0.0173 memory: 6334 grad_norm: 2.3356 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0663 loss: 3.0663 2022/08/13 21:58:31 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 9.1573e-02 eta: 2 days, 13:10:41 time: 0.2843 data_time: 0.0180 memory: 6334 grad_norm: 2.3134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1069 loss: 3.1069 2022/08/13 21:59:00 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 9.1573e-02 eta: 2 days, 13:10:14 time: 0.2909 data_time: 0.0184 memory: 6334 grad_norm: 2.3247 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4233 loss: 3.4233 2022/08/13 21:59:28 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 9.1573e-02 eta: 2 days, 13:09:46 time: 0.2794 data_time: 0.0176 memory: 6334 grad_norm: 2.2414 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3881 loss: 3.3881 2022/08/13 21:59:57 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 9.1573e-02 eta: 2 days, 13:09:19 time: 0.2830 data_time: 0.0183 memory: 6334 grad_norm: 2.2402 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0482 loss: 3.0482 2022/08/13 22:00:25 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 9.1573e-02 eta: 2 days, 13:08:51 time: 0.2812 data_time: 0.0177 memory: 6334 grad_norm: 2.2259 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0958 loss: 3.0958 2022/08/13 22:00:53 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 9.1573e-02 eta: 2 days, 13:08:23 time: 0.2803 data_time: 0.0169 memory: 6334 grad_norm: 2.2618 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8783 loss: 2.8783 2022/08/13 22:01:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:01:22 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 9.1573e-02 eta: 2 days, 13:07:56 time: 0.3000 data_time: 0.0187 memory: 6334 grad_norm: 2.2068 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9583 loss: 2.9583 2022/08/13 22:01:50 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 9.1573e-02 eta: 2 days, 13:07:28 time: 0.2907 data_time: 0.0163 memory: 6334 grad_norm: 2.2553 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2018 loss: 3.2018 2022/08/13 22:02:19 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 9.1573e-02 eta: 2 days, 13:07:01 time: 0.2864 data_time: 0.0180 memory: 6334 grad_norm: 2.2136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3141 loss: 3.3141 2022/08/13 22:02:47 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 9.1573e-02 eta: 2 days, 13:06:32 time: 0.2822 data_time: 0.0170 memory: 6334 grad_norm: 2.2301 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1506 loss: 3.1506 2022/08/13 22:03:15 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 9.1573e-02 eta: 2 days, 13:06:03 time: 0.2801 data_time: 0.0165 memory: 6334 grad_norm: 2.2052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2919 loss: 3.2919 2022/08/13 22:03:43 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 9.1573e-02 eta: 2 days, 13:05:35 time: 0.2814 data_time: 0.0174 memory: 6334 grad_norm: 2.2657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0658 loss: 3.0658 2022/08/13 22:04:12 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 9.1573e-02 eta: 2 days, 13:05:07 time: 0.2822 data_time: 0.0180 memory: 6334 grad_norm: 2.2271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3835 loss: 3.3835 2022/08/13 22:04:40 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 9.1573e-02 eta: 2 days, 13:04:39 time: 0.2865 data_time: 0.0184 memory: 6334 grad_norm: 2.3208 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4432 loss: 3.4432 2022/08/13 22:05:09 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 9.1573e-02 eta: 2 days, 13:04:12 time: 0.2818 data_time: 0.0184 memory: 6334 grad_norm: 2.2521 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5099 loss: 3.5099 2022/08/13 22:05:37 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 9.1573e-02 eta: 2 days, 13:03:45 time: 0.2825 data_time: 0.0195 memory: 6334 grad_norm: 2.2726 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2462 loss: 3.2462 2022/08/13 22:05:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:06:05 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 9.1573e-02 eta: 2 days, 13:03:17 time: 0.2795 data_time: 0.0181 memory: 6334 grad_norm: 2.1868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0670 loss: 3.0670 2022/08/13 22:06:34 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 9.1573e-02 eta: 2 days, 13:02:49 time: 0.2798 data_time: 0.0177 memory: 6334 grad_norm: 2.3107 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2574 loss: 3.2574 2022/08/13 22:07:02 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 9.1573e-02 eta: 2 days, 13:02:21 time: 0.2809 data_time: 0.0183 memory: 6334 grad_norm: 2.2523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2879 loss: 3.2879 2022/08/13 22:07:31 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 9.1573e-02 eta: 2 days, 13:01:54 time: 0.2794 data_time: 0.0170 memory: 6334 grad_norm: 2.3117 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9721 loss: 2.9721 2022/08/13 22:08:00 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 9.1573e-02 eta: 2 days, 13:01:28 time: 0.2888 data_time: 0.0183 memory: 6334 grad_norm: 2.2590 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9344 loss: 2.9344 2022/08/13 22:08:28 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 9.1573e-02 eta: 2 days, 13:01:00 time: 0.2819 data_time: 0.0171 memory: 6334 grad_norm: 2.3266 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5102 loss: 3.5102 2022/08/13 22:08:56 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 9.1573e-02 eta: 2 days, 13:00:32 time: 0.2808 data_time: 0.0193 memory: 6334 grad_norm: 2.3024 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3315 loss: 3.3315 2022/08/13 22:09:25 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 9.1573e-02 eta: 2 days, 13:00:04 time: 0.2806 data_time: 0.0180 memory: 6334 grad_norm: 2.2457 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6865 loss: 2.6865 2022/08/13 22:09:53 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 9.1573e-02 eta: 2 days, 12:59:37 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.2760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3679 loss: 3.3679 2022/08/13 22:10:22 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 9.1573e-02 eta: 2 days, 12:59:10 time: 0.2909 data_time: 0.0195 memory: 6334 grad_norm: 2.2343 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1902 loss: 3.1902 2022/08/13 22:10:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:10:50 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 9.1573e-02 eta: 2 days, 12:58:42 time: 0.2818 data_time: 0.0171 memory: 6334 grad_norm: 2.1889 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3308 loss: 3.3308 2022/08/13 22:11:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:11:06 - mmengine - INFO - Epoch(train) [49][3757/3757] lr: 9.1573e-02 eta: 2 days, 12:58:32 time: 0.2594 data_time: 0.0139 memory: 6334 grad_norm: 2.1778 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.3552 loss: 3.3552 2022/08/13 22:11:36 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 9.1229e-02 eta: 2 days, 12:57:47 time: 0.2811 data_time: 0.0190 memory: 6334 grad_norm: 2.1892 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2811 loss: 3.2811 2022/08/13 22:12:05 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 9.1229e-02 eta: 2 days, 12:57:20 time: 0.2783 data_time: 0.0177 memory: 6334 grad_norm: 2.2673 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2350 loss: 3.2350 2022/08/13 22:12:34 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 9.1229e-02 eta: 2 days, 12:56:53 time: 0.2805 data_time: 0.0181 memory: 6334 grad_norm: 2.3350 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3295 loss: 3.3295 2022/08/13 22:13:02 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 9.1229e-02 eta: 2 days, 12:56:24 time: 0.2796 data_time: 0.0174 memory: 6334 grad_norm: 2.2660 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3920 loss: 3.3920 2022/08/13 22:13:30 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 9.1229e-02 eta: 2 days, 12:55:56 time: 0.2789 data_time: 0.0185 memory: 6334 grad_norm: 2.2541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0352 loss: 3.0352 2022/08/13 22:13:58 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 9.1229e-02 eta: 2 days, 12:55:28 time: 0.2836 data_time: 0.0182 memory: 6334 grad_norm: 2.2023 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1040 loss: 3.1040 2022/08/13 22:14:27 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 9.1229e-02 eta: 2 days, 12:55:00 time: 0.2811 data_time: 0.0179 memory: 6334 grad_norm: 2.2465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3036 loss: 3.3036 2022/08/13 22:14:55 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 9.1229e-02 eta: 2 days, 12:54:32 time: 0.2815 data_time: 0.0177 memory: 6334 grad_norm: 2.2413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1507 loss: 3.1507 2022/08/13 22:15:24 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 9.1229e-02 eta: 2 days, 12:54:05 time: 0.2822 data_time: 0.0176 memory: 6334 grad_norm: 2.2185 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8897 loss: 2.8897 2022/08/13 22:15:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:15:52 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 9.1229e-02 eta: 2 days, 12:53:37 time: 0.2801 data_time: 0.0181 memory: 6334 grad_norm: 2.2503 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9597 loss: 2.9597 2022/08/13 22:16:20 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 9.1229e-02 eta: 2 days, 12:53:09 time: 0.2789 data_time: 0.0175 memory: 6334 grad_norm: 2.2119 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.3732 loss: 3.3732 2022/08/13 22:16:49 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 9.1229e-02 eta: 2 days, 12:52:42 time: 0.2885 data_time: 0.0189 memory: 6334 grad_norm: 2.3860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4004 loss: 3.4004 2022/08/13 22:17:18 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 9.1229e-02 eta: 2 days, 12:52:15 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.3285 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2218 loss: 3.2218 2022/08/13 22:17:46 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 9.1229e-02 eta: 2 days, 12:51:48 time: 0.2818 data_time: 0.0190 memory: 6334 grad_norm: 2.2558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8959 loss: 2.8959 2022/08/13 22:18:14 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 9.1229e-02 eta: 2 days, 12:51:20 time: 0.2809 data_time: 0.0208 memory: 6334 grad_norm: 2.2199 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2039 loss: 3.2039 2022/08/13 22:18:43 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 9.1229e-02 eta: 2 days, 12:50:54 time: 0.2909 data_time: 0.0189 memory: 6334 grad_norm: 2.3569 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4039 loss: 3.4039 2022/08/13 22:19:12 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 9.1229e-02 eta: 2 days, 12:50:27 time: 0.2787 data_time: 0.0176 memory: 6334 grad_norm: 2.2272 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2896 loss: 3.2896 2022/08/13 22:19:40 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 9.1229e-02 eta: 2 days, 12:50:00 time: 0.2866 data_time: 0.0192 memory: 6334 grad_norm: 2.1860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0175 loss: 3.0175 2022/08/13 22:20:09 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 9.1229e-02 eta: 2 days, 12:49:32 time: 0.2860 data_time: 0.0185 memory: 6334 grad_norm: 2.2235 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2724 loss: 3.2724 2022/08/13 22:20:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:20:37 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 9.1229e-02 eta: 2 days, 12:49:05 time: 0.2797 data_time: 0.0166 memory: 6334 grad_norm: 2.2637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2961 loss: 3.2961 2022/08/13 22:21:06 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 9.1229e-02 eta: 2 days, 12:48:36 time: 0.2801 data_time: 0.0172 memory: 6334 grad_norm: 2.2697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0003 loss: 3.0003 2022/08/13 22:21:34 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 9.1229e-02 eta: 2 days, 12:48:10 time: 0.2782 data_time: 0.0162 memory: 6334 grad_norm: 2.3017 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5073 loss: 3.5073 2022/08/13 22:22:02 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 9.1229e-02 eta: 2 days, 12:47:41 time: 0.2781 data_time: 0.0162 memory: 6334 grad_norm: 2.2365 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0009 loss: 3.0009 2022/08/13 22:22:31 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 9.1229e-02 eta: 2 days, 12:47:14 time: 0.2892 data_time: 0.0180 memory: 6334 grad_norm: 2.3186 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3284 loss: 3.3284 2022/08/13 22:23:00 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 9.1229e-02 eta: 2 days, 12:46:47 time: 0.2808 data_time: 0.0184 memory: 6334 grad_norm: 2.2343 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1563 loss: 3.1563 2022/08/13 22:23:28 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 9.1229e-02 eta: 2 days, 12:46:19 time: 0.2801 data_time: 0.0176 memory: 6334 grad_norm: 2.2021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0961 loss: 3.0961 2022/08/13 22:23:57 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 9.1229e-02 eta: 2 days, 12:45:52 time: 0.2808 data_time: 0.0189 memory: 6334 grad_norm: 2.2569 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1211 loss: 3.1211 2022/08/13 22:24:25 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 9.1229e-02 eta: 2 days, 12:45:25 time: 0.2822 data_time: 0.0209 memory: 6334 grad_norm: 2.3348 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1307 loss: 3.1307 2022/08/13 22:24:54 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 9.1229e-02 eta: 2 days, 12:45:00 time: 0.2969 data_time: 0.0190 memory: 6334 grad_norm: 2.2005 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3077 loss: 3.3077 2022/08/13 22:24:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:25:23 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 9.1229e-02 eta: 2 days, 12:44:32 time: 0.2820 data_time: 0.0171 memory: 6334 grad_norm: 2.2723 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2427 loss: 3.2427 2022/08/13 22:25:51 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 9.1229e-02 eta: 2 days, 12:44:06 time: 0.3039 data_time: 0.0173 memory: 6334 grad_norm: 2.2482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0922 loss: 3.0922 2022/08/13 22:26:20 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 9.1229e-02 eta: 2 days, 12:43:38 time: 0.2803 data_time: 0.0181 memory: 6334 grad_norm: 2.2480 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2385 loss: 3.2385 2022/08/13 22:26:48 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 9.1229e-02 eta: 2 days, 12:43:11 time: 0.2808 data_time: 0.0177 memory: 6334 grad_norm: 2.2401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1704 loss: 3.1704 2022/08/13 22:27:18 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 9.1229e-02 eta: 2 days, 12:42:48 time: 0.2804 data_time: 0.0180 memory: 6334 grad_norm: 2.1867 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0894 loss: 3.0894 2022/08/13 22:27:47 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 9.1229e-02 eta: 2 days, 12:42:21 time: 0.2810 data_time: 0.0168 memory: 6334 grad_norm: 2.2281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0689 loss: 3.0689 2022/08/13 22:28:16 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 9.1229e-02 eta: 2 days, 12:41:57 time: 0.2804 data_time: 0.0171 memory: 6334 grad_norm: 2.2983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9971 loss: 2.9971 2022/08/13 22:28:44 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 9.1229e-02 eta: 2 days, 12:41:30 time: 0.2822 data_time: 0.0184 memory: 6334 grad_norm: 2.3182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3639 loss: 3.3639 2022/08/13 22:29:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:29:00 - mmengine - INFO - Epoch(train) [50][3757/3757] lr: 9.1229e-02 eta: 2 days, 12:41:20 time: 0.2618 data_time: 0.0161 memory: 6334 grad_norm: 2.2811 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.3071 loss: 3.3071 2022/08/13 22:29:23 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:00:46 time: 0.2235 data_time: 0.1258 memory: 1152 2022/08/13 22:29:44 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:20 time: 0.1894 data_time: 0.0931 memory: 1152 2022/08/13 22:30:05 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:02 time: 0.2170 data_time: 0.1205 memory: 1152 2022/08/13 22:30:09 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.3695 acc/top5: 0.6410 acc/mean1: 0.3693 2022/08/13 22:30:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/08/13 22:30:12 - mmengine - INFO - The best checkpoint with 0.3695 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/13 22:30:41 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 9.0879e-02 eta: 2 days, 12:40:31 time: 0.2817 data_time: 0.0190 memory: 6334 grad_norm: 2.2769 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4136 loss: 3.4136 2022/08/13 22:30:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:31:10 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 9.0879e-02 eta: 2 days, 12:40:05 time: 0.3054 data_time: 0.0182 memory: 6334 grad_norm: 2.2911 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1449 loss: 3.1449 2022/08/13 22:31:39 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 9.0879e-02 eta: 2 days, 12:39:37 time: 0.2805 data_time: 0.0175 memory: 6334 grad_norm: 2.2425 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1814 loss: 3.1814 2022/08/13 22:32:07 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 9.0879e-02 eta: 2 days, 12:39:10 time: 0.2812 data_time: 0.0190 memory: 6334 grad_norm: 2.2997 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0941 loss: 3.0941 2022/08/13 22:32:35 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 9.0879e-02 eta: 2 days, 12:38:41 time: 0.2782 data_time: 0.0162 memory: 6334 grad_norm: 2.2793 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2376 loss: 3.2376 2022/08/13 22:33:04 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 9.0879e-02 eta: 2 days, 12:38:15 time: 0.2968 data_time: 0.0176 memory: 6334 grad_norm: 2.2732 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9019 loss: 2.9019 2022/08/13 22:33:32 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 9.0879e-02 eta: 2 days, 12:37:47 time: 0.2843 data_time: 0.0187 memory: 6334 grad_norm: 2.2166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1423 loss: 3.1423 2022/08/13 22:34:01 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 9.0879e-02 eta: 2 days, 12:37:19 time: 0.2888 data_time: 0.0180 memory: 6334 grad_norm: 2.2158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5878 loss: 3.5878 2022/08/13 22:34:29 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 9.0879e-02 eta: 2 days, 12:36:51 time: 0.2814 data_time: 0.0179 memory: 6334 grad_norm: 2.2331 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1104 loss: 3.1104 2022/08/13 22:34:58 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 9.0879e-02 eta: 2 days, 12:36:24 time: 0.2810 data_time: 0.0171 memory: 6334 grad_norm: 2.2905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2327 loss: 3.2327 2022/08/13 22:35:26 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 9.0879e-02 eta: 2 days, 12:35:57 time: 0.2820 data_time: 0.0176 memory: 6334 grad_norm: 2.2861 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2497 loss: 3.2497 2022/08/13 22:35:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:35:55 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 9.0879e-02 eta: 2 days, 12:35:29 time: 0.2854 data_time: 0.0193 memory: 6334 grad_norm: 2.3029 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1332 loss: 3.1332 2022/08/13 22:36:23 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 9.0879e-02 eta: 2 days, 12:35:02 time: 0.2831 data_time: 0.0192 memory: 6334 grad_norm: 2.3289 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0536 loss: 3.0536 2022/08/13 22:36:52 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 9.0879e-02 eta: 2 days, 12:34:35 time: 0.2853 data_time: 0.0188 memory: 6334 grad_norm: 2.3232 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5319 loss: 3.5319 2022/08/13 22:37:20 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 9.0879e-02 eta: 2 days, 12:34:08 time: 0.2814 data_time: 0.0175 memory: 6334 grad_norm: 2.3226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1774 loss: 3.1774 2022/08/13 22:37:49 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 9.0879e-02 eta: 2 days, 12:33:41 time: 0.2821 data_time: 0.0180 memory: 6334 grad_norm: 2.2752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2639 loss: 3.2639 2022/08/13 22:38:17 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 9.0879e-02 eta: 2 days, 12:33:13 time: 0.2812 data_time: 0.0168 memory: 6334 grad_norm: 2.3199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1053 loss: 3.1053 2022/08/13 22:38:46 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 9.0879e-02 eta: 2 days, 12:32:46 time: 0.2810 data_time: 0.0182 memory: 6334 grad_norm: 2.2226 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4541 loss: 3.4541 2022/08/13 22:39:14 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 9.0879e-02 eta: 2 days, 12:32:18 time: 0.2862 data_time: 0.0183 memory: 6334 grad_norm: 2.2515 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2086 loss: 3.2086 2022/08/13 22:39:43 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 9.0879e-02 eta: 2 days, 12:31:50 time: 0.2813 data_time: 0.0177 memory: 6334 grad_norm: 2.1751 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2991 loss: 3.2991 2022/08/13 22:40:11 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 9.0879e-02 eta: 2 days, 12:31:22 time: 0.2877 data_time: 0.0191 memory: 6334 grad_norm: 2.2560 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2901 loss: 3.2901 2022/08/13 22:40:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:40:39 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 9.0879e-02 eta: 2 days, 12:30:54 time: 0.2820 data_time: 0.0174 memory: 6334 grad_norm: 2.2758 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0492 loss: 3.0492 2022/08/13 22:41:08 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 9.0879e-02 eta: 2 days, 12:30:26 time: 0.2814 data_time: 0.0176 memory: 6334 grad_norm: 2.1534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1331 loss: 3.1331 2022/08/13 22:41:36 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 9.0879e-02 eta: 2 days, 12:29:58 time: 0.2799 data_time: 0.0183 memory: 6334 grad_norm: 2.2449 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3836 loss: 3.3836 2022/08/13 22:42:04 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 9.0879e-02 eta: 2 days, 12:29:30 time: 0.2809 data_time: 0.0177 memory: 6334 grad_norm: 2.3364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9391 loss: 2.9391 2022/08/13 22:42:33 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 9.0879e-02 eta: 2 days, 12:29:03 time: 0.2922 data_time: 0.0181 memory: 6334 grad_norm: 2.2453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0251 loss: 3.0251 2022/08/13 22:43:01 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 9.0879e-02 eta: 2 days, 12:28:35 time: 0.2800 data_time: 0.0180 memory: 6334 grad_norm: 2.2253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9836 loss: 2.9836 2022/08/13 22:43:30 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 9.0879e-02 eta: 2 days, 12:28:07 time: 0.2804 data_time: 0.0174 memory: 6334 grad_norm: 2.2507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7575 loss: 2.7575 2022/08/13 22:43:58 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 9.0879e-02 eta: 2 days, 12:27:39 time: 0.2811 data_time: 0.0176 memory: 6334 grad_norm: 2.3357 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1773 loss: 3.1773 2022/08/13 22:44:26 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 9.0879e-02 eta: 2 days, 12:27:11 time: 0.2807 data_time: 0.0167 memory: 6334 grad_norm: 2.3141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0075 loss: 3.0075 2022/08/13 22:44:55 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 9.0879e-02 eta: 2 days, 12:26:43 time: 0.2796 data_time: 0.0165 memory: 6334 grad_norm: 2.2893 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3082 loss: 3.3082 2022/08/13 22:45:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:45:23 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 9.0879e-02 eta: 2 days, 12:26:16 time: 0.2854 data_time: 0.0162 memory: 6334 grad_norm: 2.2531 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2525 loss: 3.2525 2022/08/13 22:45:52 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 9.0879e-02 eta: 2 days, 12:25:48 time: 0.2819 data_time: 0.0177 memory: 6334 grad_norm: 2.2691 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0279 loss: 3.0279 2022/08/13 22:46:20 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 9.0879e-02 eta: 2 days, 12:25:20 time: 0.2827 data_time: 0.0185 memory: 6334 grad_norm: 2.2709 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0992 loss: 3.0992 2022/08/13 22:46:49 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 9.0879e-02 eta: 2 days, 12:24:52 time: 0.2801 data_time: 0.0171 memory: 6334 grad_norm: 2.2955 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4253 loss: 3.4253 2022/08/13 22:47:17 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 9.0879e-02 eta: 2 days, 12:24:24 time: 0.2793 data_time: 0.0177 memory: 6334 grad_norm: 2.2781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2488 loss: 3.2488 2022/08/13 22:47:45 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 9.0879e-02 eta: 2 days, 12:23:56 time: 0.2837 data_time: 0.0182 memory: 6334 grad_norm: 2.3165 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3752 loss: 3.3752 2022/08/13 22:48:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:48:01 - mmengine - INFO - Epoch(train) [51][3757/3757] lr: 9.0879e-02 eta: 2 days, 12:23:45 time: 0.2651 data_time: 0.0149 memory: 6334 grad_norm: 2.1968 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.0205 loss: 3.0205 2022/08/13 22:48:33 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 9.0523e-02 eta: 2 days, 12:23:05 time: 0.2799 data_time: 0.0171 memory: 6334 grad_norm: 2.2508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3575 loss: 3.3575 2022/08/13 22:49:01 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 9.0523e-02 eta: 2 days, 12:22:38 time: 0.2816 data_time: 0.0178 memory: 6334 grad_norm: 2.2194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9828 loss: 2.9828 2022/08/13 22:49:30 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 9.0523e-02 eta: 2 days, 12:22:11 time: 0.2803 data_time: 0.0174 memory: 6334 grad_norm: 2.2206 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1801 loss: 3.1801 2022/08/13 22:49:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:49:58 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 9.0523e-02 eta: 2 days, 12:21:43 time: 0.2833 data_time: 0.0187 memory: 6334 grad_norm: 2.1801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2597 loss: 3.2597 2022/08/13 22:50:26 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 9.0523e-02 eta: 2 days, 12:21:15 time: 0.2828 data_time: 0.0196 memory: 6334 grad_norm: 2.2542 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2664 loss: 3.2664 2022/08/13 22:50:55 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 9.0523e-02 eta: 2 days, 12:20:47 time: 0.2803 data_time: 0.0179 memory: 6334 grad_norm: 2.3018 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3156 loss: 3.3156 2022/08/13 22:51:23 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 9.0523e-02 eta: 2 days, 12:20:18 time: 0.2835 data_time: 0.0178 memory: 6334 grad_norm: 2.2586 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0519 loss: 3.0519 2022/08/13 22:51:51 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 9.0523e-02 eta: 2 days, 12:19:50 time: 0.2815 data_time: 0.0187 memory: 6334 grad_norm: 2.2391 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2710 loss: 3.2710 2022/08/13 22:52:20 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 9.0523e-02 eta: 2 days, 12:19:22 time: 0.2812 data_time: 0.0184 memory: 6334 grad_norm: 2.2567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2515 loss: 3.2515 2022/08/13 22:52:48 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 9.0523e-02 eta: 2 days, 12:18:54 time: 0.2848 data_time: 0.0185 memory: 6334 grad_norm: 2.2715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1096 loss: 3.1096 2022/08/13 22:53:16 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 9.0523e-02 eta: 2 days, 12:18:26 time: 0.2797 data_time: 0.0171 memory: 6334 grad_norm: 2.2415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1158 loss: 3.1158 2022/08/13 22:53:45 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 9.0523e-02 eta: 2 days, 12:17:58 time: 0.2877 data_time: 0.0213 memory: 6334 grad_norm: 2.2661 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3957 loss: 3.3957 2022/08/13 22:54:13 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 9.0523e-02 eta: 2 days, 12:17:30 time: 0.2800 data_time: 0.0167 memory: 6334 grad_norm: 2.3695 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5592 loss: 3.5592 2022/08/13 22:54:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:54:41 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 9.0523e-02 eta: 2 days, 12:17:02 time: 0.2824 data_time: 0.0177 memory: 6334 grad_norm: 2.2742 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2373 loss: 3.2373 2022/08/13 22:55:10 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 9.0523e-02 eta: 2 days, 12:16:34 time: 0.2788 data_time: 0.0174 memory: 6334 grad_norm: 2.2310 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3499 loss: 3.3499 2022/08/13 22:55:38 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 9.0523e-02 eta: 2 days, 12:16:06 time: 0.2802 data_time: 0.0177 memory: 6334 grad_norm: 2.2339 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8873 loss: 2.8873 2022/08/13 22:56:06 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 9.0523e-02 eta: 2 days, 12:15:38 time: 0.2902 data_time: 0.0179 memory: 6334 grad_norm: 2.3952 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3859 loss: 3.3859 2022/08/13 22:56:35 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 9.0523e-02 eta: 2 days, 12:15:10 time: 0.2808 data_time: 0.0178 memory: 6334 grad_norm: 2.2396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7457 loss: 2.7457 2022/08/13 22:57:03 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 9.0523e-02 eta: 2 days, 12:14:43 time: 0.2906 data_time: 0.0184 memory: 6334 grad_norm: 2.2739 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0871 loss: 3.0871 2022/08/13 22:57:32 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 9.0523e-02 eta: 2 days, 12:14:15 time: 0.2855 data_time: 0.0168 memory: 6334 grad_norm: 2.2878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1003 loss: 3.1003 2022/08/13 22:58:00 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 9.0523e-02 eta: 2 days, 12:13:47 time: 0.2812 data_time: 0.0178 memory: 6334 grad_norm: 2.2034 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2204 loss: 3.2204 2022/08/13 22:58:28 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 9.0523e-02 eta: 2 days, 12:13:19 time: 0.2812 data_time: 0.0171 memory: 6334 grad_norm: 2.2201 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4576 loss: 3.4576 2022/08/13 22:58:57 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 9.0523e-02 eta: 2 days, 12:12:51 time: 0.2863 data_time: 0.0209 memory: 6334 grad_norm: 2.2100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2420 loss: 3.2420 2022/08/13 22:59:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 22:59:25 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 9.0523e-02 eta: 2 days, 12:12:23 time: 0.2845 data_time: 0.0203 memory: 6334 grad_norm: 2.2190 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1121 loss: 3.1121 2022/08/13 22:59:54 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 9.0523e-02 eta: 2 days, 12:11:56 time: 0.2815 data_time: 0.0169 memory: 6334 grad_norm: 2.3131 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4204 loss: 3.4204 2022/08/13 23:00:22 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 9.0523e-02 eta: 2 days, 12:11:28 time: 0.2808 data_time: 0.0177 memory: 6334 grad_norm: 2.2661 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1605 loss: 3.1605 2022/08/13 23:00:50 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 9.0523e-02 eta: 2 days, 12:10:59 time: 0.2813 data_time: 0.0181 memory: 6334 grad_norm: 2.2623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4383 loss: 3.4383 2022/08/13 23:01:19 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 9.0523e-02 eta: 2 days, 12:10:31 time: 0.2801 data_time: 0.0175 memory: 6334 grad_norm: 2.2403 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1448 loss: 3.1448 2022/08/13 23:01:47 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 9.0523e-02 eta: 2 days, 12:10:03 time: 0.2854 data_time: 0.0179 memory: 6334 grad_norm: 2.2363 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2045 loss: 3.2045 2022/08/13 23:02:16 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 9.0523e-02 eta: 2 days, 12:09:36 time: 0.2816 data_time: 0.0163 memory: 6334 grad_norm: 2.2962 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3651 loss: 3.3651 2022/08/13 23:02:44 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 9.0523e-02 eta: 2 days, 12:09:08 time: 0.2831 data_time: 0.0182 memory: 6334 grad_norm: 2.2717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9409 loss: 2.9409 2022/08/13 23:03:12 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 9.0523e-02 eta: 2 days, 12:08:40 time: 0.2806 data_time: 0.0179 memory: 6334 grad_norm: 2.2425 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5471 loss: 3.5471 2022/08/13 23:03:41 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 9.0523e-02 eta: 2 days, 12:08:13 time: 0.2794 data_time: 0.0193 memory: 6334 grad_norm: 2.3217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9753 loss: 2.9753 2022/08/13 23:04:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:04:09 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 9.0523e-02 eta: 2 days, 12:07:44 time: 0.2812 data_time: 0.0173 memory: 6334 grad_norm: 2.2539 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1007 loss: 3.1007 2022/08/13 23:04:38 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 9.0523e-02 eta: 2 days, 12:07:17 time: 0.2833 data_time: 0.0198 memory: 6334 grad_norm: 2.2509 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3099 loss: 3.3099 2022/08/13 23:05:06 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 9.0523e-02 eta: 2 days, 12:06:49 time: 0.2907 data_time: 0.0173 memory: 6334 grad_norm: 2.2398 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3581 loss: 3.3581 2022/08/13 23:05:34 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 9.0523e-02 eta: 2 days, 12:06:21 time: 0.2815 data_time: 0.0178 memory: 6334 grad_norm: 2.2396 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0422 loss: 3.0422 2022/08/13 23:05:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:05:50 - mmengine - INFO - Epoch(train) [52][3757/3757] lr: 9.0523e-02 eta: 2 days, 12:06:09 time: 0.2596 data_time: 0.0144 memory: 6334 grad_norm: 2.3019 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.0941 loss: 3.0941 2022/08/13 23:05:50 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/13 23:06:23 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 9.0160e-02 eta: 2 days, 12:05:23 time: 0.2844 data_time: 0.0190 memory: 6334 grad_norm: 2.2520 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0435 loss: 3.0435 2022/08/13 23:06:51 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 9.0160e-02 eta: 2 days, 12:04:54 time: 0.2801 data_time: 0.0168 memory: 6334 grad_norm: 2.2263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3444 loss: 3.3444 2022/08/13 23:07:19 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 9.0160e-02 eta: 2 days, 12:04:26 time: 0.2815 data_time: 0.0182 memory: 6334 grad_norm: 2.3386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1996 loss: 3.1996 2022/08/13 23:07:48 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 9.0160e-02 eta: 2 days, 12:03:57 time: 0.2825 data_time: 0.0186 memory: 6334 grad_norm: 2.2988 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3782 loss: 3.3782 2022/08/13 23:08:16 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 9.0160e-02 eta: 2 days, 12:03:31 time: 0.2907 data_time: 0.0179 memory: 6334 grad_norm: 2.2705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8109 loss: 2.8109 2022/08/13 23:08:45 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 9.0160e-02 eta: 2 days, 12:03:03 time: 0.2846 data_time: 0.0179 memory: 6334 grad_norm: 2.3250 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0688 loss: 3.0688 2022/08/13 23:08:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:09:13 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 9.0160e-02 eta: 2 days, 12:02:35 time: 0.2829 data_time: 0.0187 memory: 6334 grad_norm: 2.2412 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3978 loss: 3.3978 2022/08/13 23:09:41 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 9.0160e-02 eta: 2 days, 12:02:07 time: 0.2806 data_time: 0.0170 memory: 6334 grad_norm: 2.2961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0691 loss: 3.0691 2022/08/13 23:10:10 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 9.0160e-02 eta: 2 days, 12:01:38 time: 0.2821 data_time: 0.0184 memory: 6334 grad_norm: 2.2514 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3002 loss: 3.3002 2022/08/13 23:10:38 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 9.0160e-02 eta: 2 days, 12:01:10 time: 0.2843 data_time: 0.0198 memory: 6334 grad_norm: 2.2445 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1591 loss: 3.1591 2022/08/13 23:11:06 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 9.0160e-02 eta: 2 days, 12:00:42 time: 0.2820 data_time: 0.0177 memory: 6334 grad_norm: 2.2713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8762 loss: 2.8762 2022/08/13 23:11:35 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 9.0160e-02 eta: 2 days, 12:00:14 time: 0.2887 data_time: 0.0175 memory: 6334 grad_norm: 2.3075 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3056 loss: 3.3056 2022/08/13 23:12:03 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 9.0160e-02 eta: 2 days, 11:59:46 time: 0.2784 data_time: 0.0161 memory: 6334 grad_norm: 2.2732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1185 loss: 3.1185 2022/08/13 23:12:31 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 9.0160e-02 eta: 2 days, 11:59:17 time: 0.2805 data_time: 0.0170 memory: 6334 grad_norm: 2.3169 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2711 loss: 3.2711 2022/08/13 23:12:59 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 9.0160e-02 eta: 2 days, 11:58:49 time: 0.2816 data_time: 0.0181 memory: 6334 grad_norm: 2.3034 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2281 loss: 3.2281 2022/08/13 23:13:28 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 9.0160e-02 eta: 2 days, 11:58:21 time: 0.2859 data_time: 0.0168 memory: 6334 grad_norm: 2.2747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9483 loss: 2.9483 2022/08/13 23:13:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:13:56 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 9.0160e-02 eta: 2 days, 11:57:53 time: 0.2834 data_time: 0.0183 memory: 6334 grad_norm: 2.3386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0990 loss: 3.0990 2022/08/13 23:14:25 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 9.0160e-02 eta: 2 days, 11:57:26 time: 0.2906 data_time: 0.0166 memory: 6334 grad_norm: 2.3335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1087 loss: 3.1087 2022/08/13 23:14:53 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 9.0160e-02 eta: 2 days, 11:56:57 time: 0.2793 data_time: 0.0180 memory: 6334 grad_norm: 2.3131 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3566 loss: 3.3566 2022/08/13 23:15:21 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 9.0160e-02 eta: 2 days, 11:56:30 time: 0.2800 data_time: 0.0175 memory: 6334 grad_norm: 2.3170 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8375 loss: 2.8375 2022/08/13 23:15:50 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 9.0160e-02 eta: 2 days, 11:56:02 time: 0.2824 data_time: 0.0212 memory: 6334 grad_norm: 2.2731 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2074 loss: 3.2074 2022/08/13 23:16:18 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 9.0160e-02 eta: 2 days, 11:55:34 time: 0.2875 data_time: 0.0183 memory: 6334 grad_norm: 2.3143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2345 loss: 3.2345 2022/08/13 23:16:47 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 9.0160e-02 eta: 2 days, 11:55:06 time: 0.2805 data_time: 0.0172 memory: 6334 grad_norm: 2.2640 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4181 loss: 3.4181 2022/08/13 23:17:15 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 9.0160e-02 eta: 2 days, 11:54:38 time: 0.2815 data_time: 0.0174 memory: 6334 grad_norm: 2.2426 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2621 loss: 3.2621 2022/08/13 23:17:43 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 9.0160e-02 eta: 2 days, 11:54:10 time: 0.2811 data_time: 0.0183 memory: 6334 grad_norm: 2.2756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0077 loss: 3.0077 2022/08/13 23:18:12 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 9.0160e-02 eta: 2 days, 11:53:42 time: 0.2804 data_time: 0.0176 memory: 6334 grad_norm: 2.3056 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5022 loss: 3.5022 2022/08/13 23:18:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:18:40 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 9.0160e-02 eta: 2 days, 11:53:15 time: 0.2792 data_time: 0.0169 memory: 6334 grad_norm: 2.3959 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3650 loss: 3.3650 2022/08/13 23:19:08 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 9.0160e-02 eta: 2 days, 11:52:46 time: 0.2810 data_time: 0.0179 memory: 6334 grad_norm: 2.3023 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2002 loss: 3.2002 2022/08/13 23:19:37 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 9.0160e-02 eta: 2 days, 11:52:18 time: 0.2853 data_time: 0.0178 memory: 6334 grad_norm: 2.2830 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1859 loss: 3.1859 2022/08/13 23:20:05 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 9.0160e-02 eta: 2 days, 11:51:49 time: 0.2804 data_time: 0.0170 memory: 6334 grad_norm: 2.2708 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0386 loss: 3.0386 2022/08/13 23:20:33 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 9.0160e-02 eta: 2 days, 11:51:21 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.2894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1608 loss: 3.1608 2022/08/13 23:21:02 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 9.0160e-02 eta: 2 days, 11:50:54 time: 0.2786 data_time: 0.0167 memory: 6334 grad_norm: 2.2790 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8642 loss: 2.8642 2022/08/13 23:21:30 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 9.0160e-02 eta: 2 days, 11:50:26 time: 0.2806 data_time: 0.0171 memory: 6334 grad_norm: 2.2258 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3182 loss: 3.3182 2022/08/13 23:21:59 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 9.0160e-02 eta: 2 days, 11:50:00 time: 0.2842 data_time: 0.0169 memory: 6334 grad_norm: 2.3223 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1843 loss: 3.1843 2022/08/13 23:22:27 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 9.0160e-02 eta: 2 days, 11:49:32 time: 0.2880 data_time: 0.0174 memory: 6334 grad_norm: 2.2497 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1079 loss: 3.1079 2022/08/13 23:22:56 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 9.0160e-02 eta: 2 days, 11:49:04 time: 0.2836 data_time: 0.0182 memory: 6334 grad_norm: 2.2720 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1142 loss: 3.1142 2022/08/13 23:23:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:23:24 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 9.0160e-02 eta: 2 days, 11:48:36 time: 0.2826 data_time: 0.0179 memory: 6334 grad_norm: 2.2661 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0993 loss: 3.0993 2022/08/13 23:23:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:23:40 - mmengine - INFO - Epoch(train) [53][3757/3757] lr: 9.0160e-02 eta: 2 days, 11:48:25 time: 0.2613 data_time: 0.0156 memory: 6334 grad_norm: 2.2960 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.2445 loss: 3.2445 2022/08/13 23:24:10 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 8.9792e-02 eta: 2 days, 11:47:42 time: 0.2813 data_time: 0.0184 memory: 6334 grad_norm: 2.2544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0981 loss: 3.0981 2022/08/13 23:24:39 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 8.9792e-02 eta: 2 days, 11:47:13 time: 0.2798 data_time: 0.0164 memory: 6334 grad_norm: 2.2553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0808 loss: 3.0808 2022/08/13 23:25:07 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 8.9792e-02 eta: 2 days, 11:46:45 time: 0.2812 data_time: 0.0168 memory: 6334 grad_norm: 2.3262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0634 loss: 3.0634 2022/08/13 23:25:35 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 8.9792e-02 eta: 2 days, 11:46:17 time: 0.2834 data_time: 0.0188 memory: 6334 grad_norm: 2.2942 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1217 loss: 3.1217 2022/08/13 23:26:04 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 8.9792e-02 eta: 2 days, 11:45:49 time: 0.2801 data_time: 0.0206 memory: 6334 grad_norm: 2.3068 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1489 loss: 3.1489 2022/08/13 23:26:32 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 8.9792e-02 eta: 2 days, 11:45:21 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.2260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0625 loss: 3.0625 2022/08/13 23:27:00 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 8.9792e-02 eta: 2 days, 11:44:52 time: 0.2800 data_time: 0.0172 memory: 6334 grad_norm: 2.2482 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4194 loss: 3.4194 2022/08/13 23:27:29 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 8.9792e-02 eta: 2 days, 11:44:25 time: 0.2831 data_time: 0.0177 memory: 6334 grad_norm: 2.2392 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1171 loss: 3.1171 2022/08/13 23:27:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:27:57 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 8.9792e-02 eta: 2 days, 11:43:59 time: 0.2886 data_time: 0.0200 memory: 6334 grad_norm: 2.2599 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0889 loss: 3.0889 2022/08/13 23:28:26 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 8.9792e-02 eta: 2 days, 11:43:31 time: 0.2824 data_time: 0.0191 memory: 6334 grad_norm: 2.2699 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8394 loss: 2.8394 2022/08/13 23:28:54 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 8.9792e-02 eta: 2 days, 11:43:03 time: 0.2819 data_time: 0.0168 memory: 6334 grad_norm: 2.2555 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0419 loss: 3.0419 2022/08/13 23:29:23 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 8.9792e-02 eta: 2 days, 11:42:35 time: 0.2815 data_time: 0.0184 memory: 6334 grad_norm: 2.3218 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0869 loss: 3.0869 2022/08/13 23:29:51 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 8.9792e-02 eta: 2 days, 11:42:07 time: 0.2795 data_time: 0.0171 memory: 6334 grad_norm: 2.2260 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0172 loss: 3.0172 2022/08/13 23:30:19 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 8.9792e-02 eta: 2 days, 11:41:39 time: 0.2803 data_time: 0.0176 memory: 6334 grad_norm: 2.1998 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9702 loss: 2.9702 2022/08/13 23:30:48 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 8.9792e-02 eta: 2 days, 11:41:11 time: 0.2838 data_time: 0.0195 memory: 6334 grad_norm: 2.2862 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4189 loss: 3.4189 2022/08/13 23:31:16 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 8.9792e-02 eta: 2 days, 11:40:43 time: 0.2822 data_time: 0.0176 memory: 6334 grad_norm: 2.2750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5691 loss: 2.5691 2022/08/13 23:31:44 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 8.9792e-02 eta: 2 days, 11:40:15 time: 0.2796 data_time: 0.0168 memory: 6334 grad_norm: 2.3141 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2291 loss: 3.2291 2022/08/13 23:32:13 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 8.9792e-02 eta: 2 days, 11:39:47 time: 0.2810 data_time: 0.0176 memory: 6334 grad_norm: 2.2451 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0324 loss: 3.0324 2022/08/13 23:32:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:32:41 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 8.9792e-02 eta: 2 days, 11:39:18 time: 0.2812 data_time: 0.0185 memory: 6334 grad_norm: 2.2155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2508 loss: 3.2508 2022/08/13 23:33:10 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 8.9792e-02 eta: 2 days, 11:38:53 time: 0.2882 data_time: 0.0191 memory: 6334 grad_norm: 2.2526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9155 loss: 2.9155 2022/08/13 23:33:38 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 8.9792e-02 eta: 2 days, 11:38:25 time: 0.2866 data_time: 0.0182 memory: 6334 grad_norm: 2.3105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3802 loss: 3.3802 2022/08/13 23:34:07 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 8.9792e-02 eta: 2 days, 11:37:57 time: 0.2887 data_time: 0.0177 memory: 6334 grad_norm: 2.2541 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2568 loss: 3.2568 2022/08/13 23:34:35 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 8.9792e-02 eta: 2 days, 11:37:29 time: 0.2796 data_time: 0.0173 memory: 6334 grad_norm: 2.2760 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1895 loss: 3.1895 2022/08/13 23:35:04 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 8.9792e-02 eta: 2 days, 11:37:01 time: 0.2801 data_time: 0.0175 memory: 6334 grad_norm: 2.3492 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0625 loss: 3.0625 2022/08/13 23:35:32 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 8.9792e-02 eta: 2 days, 11:36:33 time: 0.2797 data_time: 0.0176 memory: 6334 grad_norm: 2.2557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2242 loss: 3.2242 2022/08/13 23:36:00 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 8.9792e-02 eta: 2 days, 11:36:05 time: 0.2831 data_time: 0.0173 memory: 6334 grad_norm: 2.2749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1736 loss: 3.1736 2022/08/13 23:36:29 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 8.9792e-02 eta: 2 days, 11:35:38 time: 0.2884 data_time: 0.0183 memory: 6334 grad_norm: 2.2501 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2685 loss: 3.2685 2022/08/13 23:36:57 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 8.9792e-02 eta: 2 days, 11:35:10 time: 0.2849 data_time: 0.0189 memory: 6334 grad_norm: 2.2656 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4919 loss: 3.4919 2022/08/13 23:37:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:37:26 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 8.9792e-02 eta: 2 days, 11:34:42 time: 0.2829 data_time: 0.0185 memory: 6334 grad_norm: 2.2379 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8577 loss: 2.8577 2022/08/13 23:37:54 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 8.9792e-02 eta: 2 days, 11:34:14 time: 0.2830 data_time: 0.0184 memory: 6334 grad_norm: 2.3078 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1285 loss: 3.1285 2022/08/13 23:38:23 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 8.9792e-02 eta: 2 days, 11:33:47 time: 0.2804 data_time: 0.0185 memory: 6334 grad_norm: 2.2510 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3816 loss: 3.3816 2022/08/13 23:38:51 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 8.9792e-02 eta: 2 days, 11:33:19 time: 0.2822 data_time: 0.0198 memory: 6334 grad_norm: 2.2499 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.1321 loss: 3.1321 2022/08/13 23:39:19 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 8.9792e-02 eta: 2 days, 11:32:50 time: 0.2820 data_time: 0.0176 memory: 6334 grad_norm: 2.2843 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2245 loss: 3.2245 2022/08/13 23:39:48 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 8.9792e-02 eta: 2 days, 11:32:23 time: 0.2900 data_time: 0.0188 memory: 6334 grad_norm: 2.2841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8358 loss: 2.8358 2022/08/13 23:40:16 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 8.9792e-02 eta: 2 days, 11:31:56 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.2688 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2920 loss: 3.2920 2022/08/13 23:40:45 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 8.9792e-02 eta: 2 days, 11:31:28 time: 0.2799 data_time: 0.0178 memory: 6334 grad_norm: 2.2358 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2315 loss: 3.2315 2022/08/13 23:41:13 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 8.9792e-02 eta: 2 days, 11:31:01 time: 0.2807 data_time: 0.0181 memory: 6334 grad_norm: 2.2969 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1155 loss: 3.1155 2022/08/13 23:41:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:41:29 - mmengine - INFO - Epoch(train) [54][3757/3757] lr: 8.9792e-02 eta: 2 days, 11:30:49 time: 0.2638 data_time: 0.0164 memory: 6334 grad_norm: 2.3204 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.3937 loss: 3.3937 2022/08/13 23:42:00 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 8.9417e-02 eta: 2 days, 11:30:08 time: 0.2824 data_time: 0.0182 memory: 6334 grad_norm: 2.2824 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4021 loss: 3.4021 2022/08/13 23:42:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:42:29 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 8.9417e-02 eta: 2 days, 11:29:42 time: 0.2916 data_time: 0.0187 memory: 6334 grad_norm: 2.2974 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2874 loss: 3.2874 2022/08/13 23:42:58 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 8.9417e-02 eta: 2 days, 11:29:17 time: 0.2847 data_time: 0.0178 memory: 6334 grad_norm: 2.3307 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9640 loss: 2.9640 2022/08/13 23:43:27 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 8.9417e-02 eta: 2 days, 11:28:51 time: 0.2997 data_time: 0.0209 memory: 6334 grad_norm: 2.2677 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2813 loss: 3.2813 2022/08/13 23:43:55 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 8.9417e-02 eta: 2 days, 11:28:23 time: 0.2807 data_time: 0.0185 memory: 6334 grad_norm: 2.2673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1775 loss: 3.1775 2022/08/13 23:44:24 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 8.9417e-02 eta: 2 days, 11:27:55 time: 0.2818 data_time: 0.0176 memory: 6334 grad_norm: 2.4025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2044 loss: 3.2044 2022/08/13 23:44:52 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 8.9417e-02 eta: 2 days, 11:27:27 time: 0.2804 data_time: 0.0177 memory: 6334 grad_norm: 2.3254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2787 loss: 3.2787 2022/08/13 23:45:21 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 8.9417e-02 eta: 2 days, 11:27:00 time: 0.2907 data_time: 0.0184 memory: 6334 grad_norm: 2.3323 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1840 loss: 3.1840 2022/08/13 23:45:49 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 8.9417e-02 eta: 2 days, 11:26:32 time: 0.2832 data_time: 0.0183 memory: 6334 grad_norm: 2.3453 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2553 loss: 3.2553 2022/08/13 23:46:18 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 8.9417e-02 eta: 2 days, 11:26:06 time: 0.3016 data_time: 0.0187 memory: 6334 grad_norm: 2.2780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2631 loss: 3.2631 2022/08/13 23:46:46 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 8.9417e-02 eta: 2 days, 11:25:39 time: 0.2813 data_time: 0.0185 memory: 6334 grad_norm: 2.2727 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2887 loss: 3.2887 2022/08/13 23:46:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:47:15 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 8.9417e-02 eta: 2 days, 11:25:11 time: 0.2807 data_time: 0.0171 memory: 6334 grad_norm: 2.3279 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0409 loss: 3.0409 2022/08/13 23:47:44 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 8.9417e-02 eta: 2 days, 11:24:44 time: 0.2809 data_time: 0.0181 memory: 6334 grad_norm: 2.2923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3507 loss: 3.3507 2022/08/13 23:48:12 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 8.9417e-02 eta: 2 days, 11:24:16 time: 0.2826 data_time: 0.0181 memory: 6334 grad_norm: 2.3051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3717 loss: 3.3717 2022/08/13 23:48:41 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 8.9417e-02 eta: 2 days, 11:23:50 time: 0.2877 data_time: 0.0183 memory: 6334 grad_norm: 2.2943 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1566 loss: 3.1566 2022/08/13 23:49:09 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 8.9417e-02 eta: 2 days, 11:23:23 time: 0.2824 data_time: 0.0183 memory: 6334 grad_norm: 2.2472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3044 loss: 3.3044 2022/08/13 23:49:38 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 8.9417e-02 eta: 2 days, 11:22:55 time: 0.2859 data_time: 0.0194 memory: 6334 grad_norm: 2.2688 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0831 loss: 3.0831 2022/08/13 23:50:06 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 8.9417e-02 eta: 2 days, 11:22:27 time: 0.2810 data_time: 0.0177 memory: 6334 grad_norm: 2.3005 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8028 loss: 2.8028 2022/08/13 23:50:35 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 8.9417e-02 eta: 2 days, 11:21:59 time: 0.2808 data_time: 0.0168 memory: 6334 grad_norm: 2.2809 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8375 loss: 2.8375 2022/08/13 23:51:03 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 8.9417e-02 eta: 2 days, 11:21:31 time: 0.2806 data_time: 0.0172 memory: 6334 grad_norm: 2.2877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2269 loss: 3.2269 2022/08/13 23:51:31 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 8.9417e-02 eta: 2 days, 11:21:03 time: 0.2809 data_time: 0.0180 memory: 6334 grad_norm: 2.2592 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9397 loss: 2.9397 2022/08/13 23:51:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:52:00 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 8.9417e-02 eta: 2 days, 11:20:35 time: 0.2855 data_time: 0.0183 memory: 6334 grad_norm: 2.2791 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0982 loss: 3.0982 2022/08/13 23:52:28 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 8.9417e-02 eta: 2 days, 11:20:08 time: 0.2799 data_time: 0.0178 memory: 6334 grad_norm: 2.2809 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3571 loss: 3.3571 2022/08/13 23:52:57 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 8.9417e-02 eta: 2 days, 11:19:40 time: 0.2797 data_time: 0.0179 memory: 6334 grad_norm: 2.2923 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4714 loss: 3.4714 2022/08/13 23:53:25 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 8.9417e-02 eta: 2 days, 11:19:11 time: 0.2824 data_time: 0.0183 memory: 6334 grad_norm: 2.2980 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2967 loss: 3.2967 2022/08/13 23:53:53 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 8.9417e-02 eta: 2 days, 11:18:43 time: 0.2800 data_time: 0.0176 memory: 6334 grad_norm: 2.2680 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3387 loss: 3.3387 2022/08/13 23:54:21 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 8.9417e-02 eta: 2 days, 11:18:15 time: 0.2858 data_time: 0.0179 memory: 6334 grad_norm: 2.2523 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1765 loss: 3.1765 2022/08/13 23:54:50 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 8.9417e-02 eta: 2 days, 11:17:47 time: 0.2799 data_time: 0.0164 memory: 6334 grad_norm: 2.2713 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1998 loss: 3.1998 2022/08/13 23:55:19 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 8.9417e-02 eta: 2 days, 11:17:20 time: 0.2860 data_time: 0.0164 memory: 6334 grad_norm: 2.3490 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2802 loss: 3.2802 2022/08/13 23:55:47 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 8.9417e-02 eta: 2 days, 11:16:53 time: 0.2807 data_time: 0.0175 memory: 6334 grad_norm: 2.2829 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2853 loss: 3.2853 2022/08/13 23:56:16 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 8.9417e-02 eta: 2 days, 11:16:25 time: 0.2797 data_time: 0.0172 memory: 6334 grad_norm: 2.2174 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1361 loss: 3.1361 2022/08/13 23:56:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:56:44 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 8.9417e-02 eta: 2 days, 11:15:58 time: 0.2807 data_time: 0.0172 memory: 6334 grad_norm: 2.2810 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9756 loss: 2.9756 2022/08/13 23:57:13 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 8.9417e-02 eta: 2 days, 11:15:31 time: 0.2815 data_time: 0.0187 memory: 6334 grad_norm: 2.2394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7956 loss: 2.7956 2022/08/13 23:57:41 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 8.9417e-02 eta: 2 days, 11:15:04 time: 0.2898 data_time: 0.0191 memory: 6334 grad_norm: 2.3205 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1209 loss: 3.1209 2022/08/13 23:58:10 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 8.9417e-02 eta: 2 days, 11:14:36 time: 0.2838 data_time: 0.0191 memory: 6334 grad_norm: 2.3042 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0106 loss: 3.0106 2022/08/13 23:58:38 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 8.9417e-02 eta: 2 days, 11:14:08 time: 0.2862 data_time: 0.0173 memory: 6334 grad_norm: 2.3992 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3310 loss: 3.3310 2022/08/13 23:59:07 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 8.9417e-02 eta: 2 days, 11:13:40 time: 0.2806 data_time: 0.0170 memory: 6334 grad_norm: 2.2985 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9604 loss: 2.9604 2022/08/13 23:59:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/13 23:59:22 - mmengine - INFO - Epoch(train) [55][3757/3757] lr: 8.9417e-02 eta: 2 days, 11:13:29 time: 0.2622 data_time: 0.0162 memory: 6334 grad_norm: 2.3275 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.2251 loss: 3.2251 2022/08/13 23:59:45 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:45 time: 0.2180 data_time: 0.1213 memory: 1152 2022/08/14 00:00:08 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:14 time: 0.1320 data_time: 0.0292 memory: 1152 2022/08/14 00:00:30 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:02 time: 0.2032 data_time: 0.1060 memory: 1152 2022/08/14 00:00:33 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.3591 acc/top5: 0.6367 acc/mean1: 0.3589 2022/08/14 00:01:04 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 8.9037e-02 eta: 2 days, 11:12:47 time: 0.2811 data_time: 0.0176 memory: 6334 grad_norm: 2.2774 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9319 loss: 2.9319 2022/08/14 00:01:33 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 8.9037e-02 eta: 2 days, 11:12:20 time: 0.2910 data_time: 0.0186 memory: 6334 grad_norm: 2.2880 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2696 loss: 3.2696 2022/08/14 00:02:01 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 8.9037e-02 eta: 2 days, 11:11:53 time: 0.2926 data_time: 0.0195 memory: 6334 grad_norm: 2.2862 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2206 loss: 3.2206 2022/08/14 00:02:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:02:30 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 8.9037e-02 eta: 2 days, 11:11:26 time: 0.2856 data_time: 0.0167 memory: 6334 grad_norm: 2.2847 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9946 loss: 2.9946 2022/08/14 00:02:58 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 8.9037e-02 eta: 2 days, 11:10:58 time: 0.2842 data_time: 0.0185 memory: 6334 grad_norm: 2.2588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0183 loss: 3.0183 2022/08/14 00:03:27 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 8.9037e-02 eta: 2 days, 11:10:30 time: 0.2800 data_time: 0.0174 memory: 6334 grad_norm: 2.3258 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0846 loss: 3.0846 2022/08/14 00:03:55 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 8.9037e-02 eta: 2 days, 11:10:03 time: 0.2794 data_time: 0.0177 memory: 6334 grad_norm: 2.2805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1851 loss: 3.1851 2022/08/14 00:04:23 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 8.9037e-02 eta: 2 days, 11:09:35 time: 0.2826 data_time: 0.0177 memory: 6334 grad_norm: 2.2092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8995 loss: 2.8995 2022/08/14 00:04:52 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 8.9037e-02 eta: 2 days, 11:09:07 time: 0.2810 data_time: 0.0185 memory: 6334 grad_norm: 2.3762 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0871 loss: 3.0871 2022/08/14 00:05:21 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 8.9037e-02 eta: 2 days, 11:08:40 time: 0.2977 data_time: 0.0179 memory: 6334 grad_norm: 2.3252 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2890 loss: 3.2890 2022/08/14 00:05:49 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 8.9037e-02 eta: 2 days, 11:08:12 time: 0.2813 data_time: 0.0181 memory: 6334 grad_norm: 2.3021 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1229 loss: 3.1229 2022/08/14 00:06:17 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 8.9037e-02 eta: 2 days, 11:07:44 time: 0.2817 data_time: 0.0177 memory: 6334 grad_norm: 2.3063 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0957 loss: 3.0957 2022/08/14 00:06:46 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 8.9037e-02 eta: 2 days, 11:07:17 time: 0.2796 data_time: 0.0195 memory: 6334 grad_norm: 2.2953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1827 loss: 3.1827 2022/08/14 00:07:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:07:14 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 8.9037e-02 eta: 2 days, 11:06:49 time: 0.2800 data_time: 0.0181 memory: 6334 grad_norm: 2.2118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9438 loss: 2.9438 2022/08/14 00:07:43 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 8.9037e-02 eta: 2 days, 11:06:21 time: 0.2858 data_time: 0.0188 memory: 6334 grad_norm: 2.3188 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3074 loss: 3.3074 2022/08/14 00:08:11 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 8.9037e-02 eta: 2 days, 11:05:53 time: 0.2838 data_time: 0.0178 memory: 6334 grad_norm: 2.3697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2253 loss: 3.2253 2022/08/14 00:08:40 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 8.9037e-02 eta: 2 days, 11:05:26 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.3395 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2007 loss: 3.2007 2022/08/14 00:09:08 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 8.9037e-02 eta: 2 days, 11:04:59 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.2797 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1268 loss: 3.1268 2022/08/14 00:09:37 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 8.9037e-02 eta: 2 days, 11:04:31 time: 0.2807 data_time: 0.0173 memory: 6334 grad_norm: 2.3201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4064 loss: 3.4064 2022/08/14 00:10:05 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 8.9037e-02 eta: 2 days, 11:04:04 time: 0.2821 data_time: 0.0187 memory: 6334 grad_norm: 2.2846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1507 loss: 3.1507 2022/08/14 00:10:34 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 8.9037e-02 eta: 2 days, 11:03:38 time: 0.2814 data_time: 0.0176 memory: 6334 grad_norm: 2.2436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1271 loss: 3.1271 2022/08/14 00:11:03 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 8.9037e-02 eta: 2 days, 11:03:12 time: 0.2895 data_time: 0.0165 memory: 6334 grad_norm: 2.3109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1687 loss: 3.1687 2022/08/14 00:11:32 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 8.9037e-02 eta: 2 days, 11:02:45 time: 0.2821 data_time: 0.0193 memory: 6334 grad_norm: 2.2713 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0137 loss: 3.0137 2022/08/14 00:11:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:12:00 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 8.9037e-02 eta: 2 days, 11:02:18 time: 0.2877 data_time: 0.0192 memory: 6334 grad_norm: 2.1988 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9162 loss: 2.9162 2022/08/14 00:12:29 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 8.9037e-02 eta: 2 days, 11:01:50 time: 0.2808 data_time: 0.0187 memory: 6334 grad_norm: 2.2817 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0852 loss: 3.0852 2022/08/14 00:12:57 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 8.9037e-02 eta: 2 days, 11:01:22 time: 0.2809 data_time: 0.0185 memory: 6334 grad_norm: 2.2375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9364 loss: 2.9364 2022/08/14 00:13:26 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 8.9037e-02 eta: 2 days, 11:00:54 time: 0.2830 data_time: 0.0176 memory: 6334 grad_norm: 2.3259 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1812 loss: 3.1812 2022/08/14 00:13:54 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 8.9037e-02 eta: 2 days, 11:00:26 time: 0.2806 data_time: 0.0166 memory: 6334 grad_norm: 2.2074 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2538 loss: 3.2538 2022/08/14 00:14:22 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 8.9037e-02 eta: 2 days, 10:59:58 time: 0.2844 data_time: 0.0184 memory: 6334 grad_norm: 2.3209 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2906 loss: 3.2906 2022/08/14 00:14:51 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 8.9037e-02 eta: 2 days, 10:59:31 time: 0.2863 data_time: 0.0175 memory: 6334 grad_norm: 2.3043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0843 loss: 3.0843 2022/08/14 00:15:19 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 8.9037e-02 eta: 2 days, 10:59:03 time: 0.2830 data_time: 0.0181 memory: 6334 grad_norm: 2.3252 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2301 loss: 3.2301 2022/08/14 00:15:48 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 8.9037e-02 eta: 2 days, 10:58:34 time: 0.2794 data_time: 0.0175 memory: 6334 grad_norm: 2.2508 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4896 loss: 3.4896 2022/08/14 00:16:16 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 8.9037e-02 eta: 2 days, 10:58:06 time: 0.2798 data_time: 0.0179 memory: 6334 grad_norm: 2.2773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9949 loss: 2.9949 2022/08/14 00:16:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:16:44 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 8.9037e-02 eta: 2 days, 10:57:39 time: 0.2842 data_time: 0.0186 memory: 6334 grad_norm: 2.2321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2732 loss: 3.2732 2022/08/14 00:17:13 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 8.9037e-02 eta: 2 days, 10:57:11 time: 0.2815 data_time: 0.0176 memory: 6334 grad_norm: 2.2747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2674 loss: 3.2674 2022/08/14 00:17:42 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 8.9037e-02 eta: 2 days, 10:56:44 time: 0.2881 data_time: 0.0195 memory: 6334 grad_norm: 2.3310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9257 loss: 2.9257 2022/08/14 00:18:10 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 8.9037e-02 eta: 2 days, 10:56:16 time: 0.2823 data_time: 0.0184 memory: 6334 grad_norm: 2.2984 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2168 loss: 3.2168 2022/08/14 00:18:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:18:26 - mmengine - INFO - Epoch(train) [56][3757/3757] lr: 8.9037e-02 eta: 2 days, 10:56:05 time: 0.2605 data_time: 0.0151 memory: 6334 grad_norm: 2.2929 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.1766 loss: 3.1766 2022/08/14 00:18:26 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/14 00:18:58 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 8.8651e-02 eta: 2 days, 10:55:19 time: 0.2825 data_time: 0.0225 memory: 6334 grad_norm: 2.2497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0547 loss: 3.0547 2022/08/14 00:19:27 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 8.8651e-02 eta: 2 days, 10:54:51 time: 0.2833 data_time: 0.0186 memory: 6334 grad_norm: 2.1795 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9755 loss: 2.9755 2022/08/14 00:19:55 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 8.8651e-02 eta: 2 days, 10:54:23 time: 0.2803 data_time: 0.0169 memory: 6334 grad_norm: 2.2696 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0428 loss: 3.0428 2022/08/14 00:20:24 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 8.8651e-02 eta: 2 days, 10:53:56 time: 0.2857 data_time: 0.0197 memory: 6334 grad_norm: 2.3679 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0403 loss: 3.0403 2022/08/14 00:20:52 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 8.8651e-02 eta: 2 days, 10:53:28 time: 0.2838 data_time: 0.0201 memory: 6334 grad_norm: 2.2782 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8305 loss: 2.8305 2022/08/14 00:21:21 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 8.8651e-02 eta: 2 days, 10:53:01 time: 0.2880 data_time: 0.0196 memory: 6334 grad_norm: 2.3282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9897 loss: 2.9897 2022/08/14 00:21:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:21:49 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 8.8651e-02 eta: 2 days, 10:52:33 time: 0.2814 data_time: 0.0179 memory: 6334 grad_norm: 2.1678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2044 loss: 3.2044 2022/08/14 00:22:18 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 8.8651e-02 eta: 2 days, 10:52:06 time: 0.2790 data_time: 0.0173 memory: 6334 grad_norm: 2.2741 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2240 loss: 3.2240 2022/08/14 00:22:46 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 8.8651e-02 eta: 2 days, 10:51:39 time: 0.2837 data_time: 0.0190 memory: 6334 grad_norm: 2.2619 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0298 loss: 3.0298 2022/08/14 00:23:15 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 8.8651e-02 eta: 2 days, 10:51:11 time: 0.2834 data_time: 0.0194 memory: 6334 grad_norm: 2.3185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4061 loss: 3.4061 2022/08/14 00:23:43 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 8.8651e-02 eta: 2 days, 10:50:43 time: 0.2837 data_time: 0.0178 memory: 6334 grad_norm: 2.2594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0141 loss: 3.0141 2022/08/14 00:24:12 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 8.8651e-02 eta: 2 days, 10:50:15 time: 0.2812 data_time: 0.0186 memory: 6334 grad_norm: 2.2752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9614 loss: 2.9614 2022/08/14 00:24:40 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 8.8651e-02 eta: 2 days, 10:49:47 time: 0.2814 data_time: 0.0177 memory: 6334 grad_norm: 2.2963 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6466 loss: 2.6466 2022/08/14 00:25:08 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 8.8651e-02 eta: 2 days, 10:49:19 time: 0.2808 data_time: 0.0161 memory: 6334 grad_norm: 2.3032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1717 loss: 3.1717 2022/08/14 00:25:37 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 8.8651e-02 eta: 2 days, 10:48:52 time: 0.2820 data_time: 0.0179 memory: 6334 grad_norm: 2.3347 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9352 loss: 2.9352 2022/08/14 00:26:05 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 8.8651e-02 eta: 2 days, 10:48:24 time: 0.2845 data_time: 0.0178 memory: 6334 grad_norm: 2.3343 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9282 loss: 2.9282 2022/08/14 00:26:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:26:34 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 8.8651e-02 eta: 2 days, 10:47:57 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.2532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0777 loss: 3.0777 2022/08/14 00:27:02 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 8.8651e-02 eta: 2 days, 10:47:29 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.3068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9176 loss: 2.9176 2022/08/14 00:27:31 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 8.8651e-02 eta: 2 days, 10:47:01 time: 0.2830 data_time: 0.0182 memory: 6334 grad_norm: 2.3434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7892 loss: 2.7892 2022/08/14 00:27:59 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 8.8651e-02 eta: 2 days, 10:46:32 time: 0.2809 data_time: 0.0174 memory: 6334 grad_norm: 2.3217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9467 loss: 2.9467 2022/08/14 00:28:27 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 8.8651e-02 eta: 2 days, 10:46:04 time: 0.2815 data_time: 0.0185 memory: 6334 grad_norm: 2.2906 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2767 loss: 3.2767 2022/08/14 00:28:56 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 8.8651e-02 eta: 2 days, 10:45:36 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.2810 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2821 loss: 3.2821 2022/08/14 00:29:24 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 8.8651e-02 eta: 2 days, 10:45:08 time: 0.2818 data_time: 0.0171 memory: 6334 grad_norm: 2.2984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9739 loss: 2.9739 2022/08/14 00:29:52 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 8.8651e-02 eta: 2 days, 10:44:40 time: 0.2839 data_time: 0.0201 memory: 6334 grad_norm: 2.3062 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8780 loss: 2.8780 2022/08/14 00:30:21 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 8.8651e-02 eta: 2 days, 10:44:12 time: 0.2817 data_time: 0.0187 memory: 6334 grad_norm: 2.2684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7608 loss: 2.7608 2022/08/14 00:30:49 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 8.8651e-02 eta: 2 days, 10:43:44 time: 0.2818 data_time: 0.0169 memory: 6334 grad_norm: 2.3415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4824 loss: 3.4824 2022/08/14 00:30:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:31:17 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 8.8651e-02 eta: 2 days, 10:43:16 time: 0.2814 data_time: 0.0167 memory: 6334 grad_norm: 2.2423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1779 loss: 3.1779 2022/08/14 00:31:46 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 8.8651e-02 eta: 2 days, 10:42:47 time: 0.2814 data_time: 0.0180 memory: 6334 grad_norm: 2.3523 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1262 loss: 3.1262 2022/08/14 00:32:14 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 8.8651e-02 eta: 2 days, 10:42:19 time: 0.2857 data_time: 0.0170 memory: 6334 grad_norm: 2.2633 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0853 loss: 3.0853 2022/08/14 00:32:42 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 8.8651e-02 eta: 2 days, 10:41:51 time: 0.2832 data_time: 0.0181 memory: 6334 grad_norm: 2.2839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8281 loss: 2.8281 2022/08/14 00:33:11 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 8.8651e-02 eta: 2 days, 10:41:23 time: 0.2818 data_time: 0.0182 memory: 6334 grad_norm: 2.2920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9476 loss: 2.9476 2022/08/14 00:33:39 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 8.8651e-02 eta: 2 days, 10:40:55 time: 0.2810 data_time: 0.0177 memory: 6334 grad_norm: 2.2443 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1380 loss: 3.1380 2022/08/14 00:34:08 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 8.8651e-02 eta: 2 days, 10:40:27 time: 0.2813 data_time: 0.0192 memory: 6334 grad_norm: 2.2962 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7624 loss: 2.7624 2022/08/14 00:34:36 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 8.8651e-02 eta: 2 days, 10:39:59 time: 0.2812 data_time: 0.0183 memory: 6334 grad_norm: 2.2741 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3491 loss: 3.3491 2022/08/14 00:35:04 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 8.8651e-02 eta: 2 days, 10:39:31 time: 0.2831 data_time: 0.0182 memory: 6334 grad_norm: 2.3225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3684 loss: 3.3684 2022/08/14 00:35:33 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 8.8651e-02 eta: 2 days, 10:39:04 time: 0.2812 data_time: 0.0181 memory: 6334 grad_norm: 2.2294 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9260 loss: 2.9260 2022/08/14 00:35:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:36:01 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 8.8651e-02 eta: 2 days, 10:38:36 time: 0.2816 data_time: 0.0179 memory: 6334 grad_norm: 2.2774 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1782 loss: 3.1782 2022/08/14 00:36:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:36:17 - mmengine - INFO - Epoch(train) [57][3757/3757] lr: 8.8651e-02 eta: 2 days, 10:38:25 time: 0.2609 data_time: 0.0148 memory: 6334 grad_norm: 2.2896 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9735 loss: 2.9735 2022/08/14 00:36:48 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 8.8258e-02 eta: 2 days, 10:37:43 time: 0.2797 data_time: 0.0176 memory: 6334 grad_norm: 2.3189 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8123 loss: 2.8123 2022/08/14 00:37:16 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 8.8258e-02 eta: 2 days, 10:37:15 time: 0.2808 data_time: 0.0177 memory: 6334 grad_norm: 2.2850 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1536 loss: 3.1536 2022/08/14 00:37:44 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 8.8258e-02 eta: 2 days, 10:36:47 time: 0.2825 data_time: 0.0173 memory: 6334 grad_norm: 2.2969 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3844 loss: 3.3844 2022/08/14 00:38:13 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 8.8258e-02 eta: 2 days, 10:36:19 time: 0.2822 data_time: 0.0171 memory: 6334 grad_norm: 2.3280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1251 loss: 3.1251 2022/08/14 00:38:41 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 8.8258e-02 eta: 2 days, 10:35:51 time: 0.2820 data_time: 0.0179 memory: 6334 grad_norm: 2.2613 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0379 loss: 3.0379 2022/08/14 00:39:10 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 8.8258e-02 eta: 2 days, 10:35:23 time: 0.2828 data_time: 0.0189 memory: 6334 grad_norm: 2.2838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1673 loss: 3.1673 2022/08/14 00:39:38 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 8.8258e-02 eta: 2 days, 10:34:55 time: 0.2829 data_time: 0.0184 memory: 6334 grad_norm: 2.3014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1729 loss: 3.1729 2022/08/14 00:40:07 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 8.8258e-02 eta: 2 days, 10:34:28 time: 0.2901 data_time: 0.0202 memory: 6334 grad_norm: 2.2826 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5386 loss: 3.5386 2022/08/14 00:40:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:40:35 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 8.8258e-02 eta: 2 days, 10:34:01 time: 0.2887 data_time: 0.0184 memory: 6334 grad_norm: 2.2798 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0986 loss: 3.0986 2022/08/14 00:41:04 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 8.8258e-02 eta: 2 days, 10:33:34 time: 0.2833 data_time: 0.0177 memory: 6334 grad_norm: 2.3696 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2381 loss: 3.2381 2022/08/14 00:41:32 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 8.8258e-02 eta: 2 days, 10:33:06 time: 0.2889 data_time: 0.0200 memory: 6334 grad_norm: 2.2751 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0386 loss: 3.0386 2022/08/14 00:42:01 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 8.8258e-02 eta: 2 days, 10:32:38 time: 0.2813 data_time: 0.0178 memory: 6334 grad_norm: 2.2893 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0043 loss: 3.0043 2022/08/14 00:42:29 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 8.8258e-02 eta: 2 days, 10:32:11 time: 0.2819 data_time: 0.0181 memory: 6334 grad_norm: 2.3413 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2662 loss: 3.2662 2022/08/14 00:42:58 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 8.8258e-02 eta: 2 days, 10:31:43 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.2457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0532 loss: 3.0532 2022/08/14 00:43:26 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 8.8258e-02 eta: 2 days, 10:31:15 time: 0.2858 data_time: 0.0188 memory: 6334 grad_norm: 2.3049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1886 loss: 3.1886 2022/08/14 00:43:55 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 8.8258e-02 eta: 2 days, 10:30:48 time: 0.2823 data_time: 0.0183 memory: 6334 grad_norm: 2.3002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3953 loss: 3.3953 2022/08/14 00:44:23 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 8.8258e-02 eta: 2 days, 10:30:21 time: 0.2872 data_time: 0.0171 memory: 6334 grad_norm: 2.2893 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1897 loss: 3.1897 2022/08/14 00:44:52 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 8.8258e-02 eta: 2 days, 10:29:53 time: 0.2825 data_time: 0.0173 memory: 6334 grad_norm: 2.2708 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0720 loss: 3.0720 2022/08/14 00:45:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:45:21 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 8.8258e-02 eta: 2 days, 10:29:27 time: 0.2816 data_time: 0.0176 memory: 6334 grad_norm: 2.2983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9132 loss: 2.9132 2022/08/14 00:45:49 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 8.8258e-02 eta: 2 days, 10:28:59 time: 0.2816 data_time: 0.0175 memory: 6334 grad_norm: 2.3152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1350 loss: 3.1350 2022/08/14 00:46:18 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 8.8258e-02 eta: 2 days, 10:28:31 time: 0.2804 data_time: 0.0173 memory: 6334 grad_norm: 2.2806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2745 loss: 3.2745 2022/08/14 00:46:46 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 8.8258e-02 eta: 2 days, 10:28:04 time: 0.2841 data_time: 0.0199 memory: 6334 grad_norm: 2.3217 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9798 loss: 2.9798 2022/08/14 00:47:15 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 8.8258e-02 eta: 2 days, 10:27:36 time: 0.2826 data_time: 0.0179 memory: 6334 grad_norm: 2.3638 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1605 loss: 3.1605 2022/08/14 00:47:43 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 8.8258e-02 eta: 2 days, 10:27:09 time: 0.2922 data_time: 0.0192 memory: 6334 grad_norm: 2.2684 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2301 loss: 3.2301 2022/08/14 00:48:12 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 8.8258e-02 eta: 2 days, 10:26:42 time: 0.2811 data_time: 0.0182 memory: 6334 grad_norm: 2.2523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0375 loss: 3.0375 2022/08/14 00:48:40 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 8.8258e-02 eta: 2 days, 10:26:14 time: 0.2819 data_time: 0.0174 memory: 6334 grad_norm: 2.3188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0863 loss: 3.0863 2022/08/14 00:49:09 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 8.8258e-02 eta: 2 days, 10:25:47 time: 0.2805 data_time: 0.0178 memory: 6334 grad_norm: 2.3608 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1131 loss: 3.1131 2022/08/14 00:49:37 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 8.8258e-02 eta: 2 days, 10:25:19 time: 0.2819 data_time: 0.0176 memory: 6334 grad_norm: 2.3255 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9394 loss: 2.9394 2022/08/14 00:49:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:50:06 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 8.8258e-02 eta: 2 days, 10:24:53 time: 0.3049 data_time: 0.0199 memory: 6334 grad_norm: 2.3185 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9954 loss: 2.9954 2022/08/14 00:50:35 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 8.8258e-02 eta: 2 days, 10:24:24 time: 0.2807 data_time: 0.0172 memory: 6334 grad_norm: 2.2365 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1581 loss: 3.1581 2022/08/14 00:51:03 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 8.8258e-02 eta: 2 days, 10:23:57 time: 0.2896 data_time: 0.0189 memory: 6334 grad_norm: 2.2940 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2775 loss: 3.2775 2022/08/14 00:51:32 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 8.8258e-02 eta: 2 days, 10:23:30 time: 0.2795 data_time: 0.0166 memory: 6334 grad_norm: 2.3000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2470 loss: 3.2470 2022/08/14 00:52:00 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 8.8258e-02 eta: 2 days, 10:23:03 time: 0.2817 data_time: 0.0189 memory: 6334 grad_norm: 2.2807 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0257 loss: 3.0257 2022/08/14 00:52:29 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 8.8258e-02 eta: 2 days, 10:22:36 time: 0.2908 data_time: 0.0228 memory: 6334 grad_norm: 2.2657 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2443 loss: 3.2443 2022/08/14 00:52:57 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 8.8258e-02 eta: 2 days, 10:22:08 time: 0.2847 data_time: 0.0192 memory: 6334 grad_norm: 2.2713 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2147 loss: 3.2147 2022/08/14 00:53:26 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 8.8258e-02 eta: 2 days, 10:21:41 time: 0.2824 data_time: 0.0186 memory: 6334 grad_norm: 2.3255 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0802 loss: 3.0802 2022/08/14 00:53:55 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 8.8258e-02 eta: 2 days, 10:21:13 time: 0.2880 data_time: 0.0184 memory: 6334 grad_norm: 2.2996 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9646 loss: 2.9646 2022/08/14 00:54:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:54:11 - mmengine - INFO - Epoch(train) [58][3757/3757] lr: 8.8258e-02 eta: 2 days, 10:21:03 time: 0.2634 data_time: 0.0159 memory: 6334 grad_norm: 2.2672 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9983 loss: 2.9983 2022/08/14 00:54:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:54:41 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 8.7860e-02 eta: 2 days, 10:20:21 time: 0.2836 data_time: 0.0191 memory: 6334 grad_norm: 2.3287 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0740 loss: 3.0740 2022/08/14 00:55:10 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 8.7860e-02 eta: 2 days, 10:19:53 time: 0.2834 data_time: 0.0179 memory: 6334 grad_norm: 2.3047 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0479 loss: 3.0479 2022/08/14 00:55:38 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 8.7860e-02 eta: 2 days, 10:19:26 time: 0.2858 data_time: 0.0184 memory: 6334 grad_norm: 2.3133 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1233 loss: 3.1233 2022/08/14 00:56:07 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 8.7860e-02 eta: 2 days, 10:18:58 time: 0.2842 data_time: 0.0180 memory: 6334 grad_norm: 2.3049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2607 loss: 3.2607 2022/08/14 00:56:35 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 8.7860e-02 eta: 2 days, 10:18:30 time: 0.2860 data_time: 0.0204 memory: 6334 grad_norm: 2.3127 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1629 loss: 3.1629 2022/08/14 00:57:04 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 8.7860e-02 eta: 2 days, 10:18:03 time: 0.2866 data_time: 0.0191 memory: 6334 grad_norm: 2.3036 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4613 loss: 3.4613 2022/08/14 00:57:32 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 8.7860e-02 eta: 2 days, 10:17:35 time: 0.2819 data_time: 0.0192 memory: 6334 grad_norm: 2.3238 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0158 loss: 3.0158 2022/08/14 00:58:01 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 8.7860e-02 eta: 2 days, 10:17:07 time: 0.2847 data_time: 0.0212 memory: 6334 grad_norm: 2.3258 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3253 loss: 3.3253 2022/08/14 00:58:29 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 8.7860e-02 eta: 2 days, 10:16:39 time: 0.2828 data_time: 0.0195 memory: 6334 grad_norm: 2.3575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2307 loss: 3.2307 2022/08/14 00:58:57 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 8.7860e-02 eta: 2 days, 10:16:12 time: 0.2851 data_time: 0.0190 memory: 6334 grad_norm: 2.2021 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1649 loss: 3.1649 2022/08/14 00:59:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 00:59:26 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 8.7860e-02 eta: 2 days, 10:15:44 time: 0.2863 data_time: 0.0210 memory: 6334 grad_norm: 2.1652 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3098 loss: 3.3098 2022/08/14 00:59:55 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 8.7860e-02 eta: 2 days, 10:15:17 time: 0.2962 data_time: 0.0213 memory: 6334 grad_norm: 2.3281 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8542 loss: 2.8542 2022/08/14 01:00:24 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 8.7860e-02 eta: 2 days, 10:14:51 time: 0.2819 data_time: 0.0184 memory: 6334 grad_norm: 2.2346 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2190 loss: 3.2190 2022/08/14 01:00:52 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 8.7860e-02 eta: 2 days, 10:14:24 time: 0.2834 data_time: 0.0185 memory: 6334 grad_norm: 2.3336 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3258 loss: 3.3258 2022/08/14 01:01:21 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 8.7860e-02 eta: 2 days, 10:13:57 time: 0.2800 data_time: 0.0177 memory: 6334 grad_norm: 2.3506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2303 loss: 3.2303 2022/08/14 01:01:50 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 8.7860e-02 eta: 2 days, 10:13:30 time: 0.2819 data_time: 0.0182 memory: 6334 grad_norm: 2.3852 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0811 loss: 3.0811 2022/08/14 01:02:18 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 8.7860e-02 eta: 2 days, 10:13:02 time: 0.2819 data_time: 0.0196 memory: 6334 grad_norm: 2.3089 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1719 loss: 3.1719 2022/08/14 01:02:47 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 8.7860e-02 eta: 2 days, 10:12:34 time: 0.2852 data_time: 0.0200 memory: 6334 grad_norm: 2.3195 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8738 loss: 2.8738 2022/08/14 01:03:15 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 8.7860e-02 eta: 2 days, 10:12:07 time: 0.2858 data_time: 0.0203 memory: 6334 grad_norm: 2.2920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8204 loss: 2.8204 2022/08/14 01:03:44 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 8.7860e-02 eta: 2 days, 10:11:39 time: 0.2816 data_time: 0.0176 memory: 6334 grad_norm: 2.2709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0393 loss: 3.0393 2022/08/14 01:04:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:04:12 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 8.7860e-02 eta: 2 days, 10:11:13 time: 0.2834 data_time: 0.0197 memory: 6334 grad_norm: 2.2881 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1198 loss: 3.1198 2022/08/14 01:04:41 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 8.7860e-02 eta: 2 days, 10:10:45 time: 0.2825 data_time: 0.0190 memory: 6334 grad_norm: 2.3182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1221 loss: 3.1221 2022/08/14 01:05:10 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 8.7860e-02 eta: 2 days, 10:10:18 time: 0.2942 data_time: 0.0173 memory: 6334 grad_norm: 2.3050 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1981 loss: 3.1981 2022/08/14 01:05:38 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 8.7860e-02 eta: 2 days, 10:09:51 time: 0.2883 data_time: 0.0223 memory: 6334 grad_norm: 2.3130 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0944 loss: 3.0944 2022/08/14 01:06:07 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 8.7860e-02 eta: 2 days, 10:09:24 time: 0.2840 data_time: 0.0173 memory: 6334 grad_norm: 2.2669 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2911 loss: 3.2911 2022/08/14 01:06:36 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 8.7860e-02 eta: 2 days, 10:08:57 time: 0.2835 data_time: 0.0176 memory: 6334 grad_norm: 2.3398 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1421 loss: 3.1421 2022/08/14 01:07:04 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 8.7860e-02 eta: 2 days, 10:08:30 time: 0.2897 data_time: 0.0179 memory: 6334 grad_norm: 2.2426 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1375 loss: 3.1375 2022/08/14 01:07:33 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 8.7860e-02 eta: 2 days, 10:08:02 time: 0.2821 data_time: 0.0185 memory: 6334 grad_norm: 2.2325 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0216 loss: 3.0216 2022/08/14 01:08:01 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 8.7860e-02 eta: 2 days, 10:07:35 time: 0.2846 data_time: 0.0190 memory: 6334 grad_norm: 2.2603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2343 loss: 3.2343 2022/08/14 01:08:30 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 8.7860e-02 eta: 2 days, 10:07:08 time: 0.2816 data_time: 0.0196 memory: 6334 grad_norm: 2.2866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8963 loss: 2.8963 2022/08/14 01:08:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:08:59 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 8.7860e-02 eta: 2 days, 10:06:41 time: 0.2832 data_time: 0.0184 memory: 6334 grad_norm: 2.3561 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9525 loss: 2.9525 2022/08/14 01:09:27 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 8.7860e-02 eta: 2 days, 10:06:13 time: 0.2891 data_time: 0.0192 memory: 6334 grad_norm: 2.3270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2143 loss: 3.2143 2022/08/14 01:09:56 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 8.7860e-02 eta: 2 days, 10:05:45 time: 0.2804 data_time: 0.0176 memory: 6334 grad_norm: 2.3301 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1511 loss: 3.1511 2022/08/14 01:10:24 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 8.7860e-02 eta: 2 days, 10:05:17 time: 0.2809 data_time: 0.0176 memory: 6334 grad_norm: 2.2870 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0160 loss: 3.0160 2022/08/14 01:10:53 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 8.7860e-02 eta: 2 days, 10:04:50 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.2273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0675 loss: 3.0675 2022/08/14 01:11:21 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 8.7860e-02 eta: 2 days, 10:04:23 time: 0.2844 data_time: 0.0176 memory: 6334 grad_norm: 2.2419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8639 loss: 2.8639 2022/08/14 01:11:50 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 8.7860e-02 eta: 2 days, 10:03:55 time: 0.2823 data_time: 0.0189 memory: 6334 grad_norm: 2.3510 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.3122 loss: 3.3122 2022/08/14 01:12:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:12:06 - mmengine - INFO - Epoch(train) [59][3757/3757] lr: 8.7860e-02 eta: 2 days, 10:03:45 time: 0.2631 data_time: 0.0152 memory: 6334 grad_norm: 2.2806 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0656 loss: 3.0656 2022/08/14 01:12:37 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 8.7457e-02 eta: 2 days, 10:03:04 time: 0.2854 data_time: 0.0185 memory: 6334 grad_norm: 2.3093 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0874 loss: 3.0874 2022/08/14 01:13:06 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 8.7457e-02 eta: 2 days, 10:02:37 time: 0.2901 data_time: 0.0189 memory: 6334 grad_norm: 2.3606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1045 loss: 3.1045 2022/08/14 01:13:34 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 8.7457e-02 eta: 2 days, 10:02:10 time: 0.2828 data_time: 0.0174 memory: 6334 grad_norm: 2.2878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0630 loss: 3.0630 2022/08/14 01:13:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:14:03 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 8.7457e-02 eta: 2 days, 10:01:43 time: 0.2839 data_time: 0.0189 memory: 6334 grad_norm: 2.3274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9910 loss: 2.9910 2022/08/14 01:14:31 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 8.7457e-02 eta: 2 days, 10:01:16 time: 0.2804 data_time: 0.0176 memory: 6334 grad_norm: 2.3122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3187 loss: 3.3187 2022/08/14 01:15:00 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 8.7457e-02 eta: 2 days, 10:00:49 time: 0.2880 data_time: 0.0187 memory: 6334 grad_norm: 2.2598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9596 loss: 2.9596 2022/08/14 01:15:29 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 8.7457e-02 eta: 2 days, 10:00:21 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.2968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4031 loss: 3.4031 2022/08/14 01:15:57 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 8.7457e-02 eta: 2 days, 9:59:54 time: 0.2853 data_time: 0.0186 memory: 6334 grad_norm: 2.2619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1248 loss: 3.1248 2022/08/14 01:16:26 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 8.7457e-02 eta: 2 days, 9:59:27 time: 0.2842 data_time: 0.0179 memory: 6334 grad_norm: 2.2525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2933 loss: 3.2933 2022/08/14 01:16:54 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 8.7457e-02 eta: 2 days, 9:58:59 time: 0.2834 data_time: 0.0193 memory: 6334 grad_norm: 2.3255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8277 loss: 2.8277 2022/08/14 01:17:23 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 8.7457e-02 eta: 2 days, 9:58:32 time: 0.2830 data_time: 0.0179 memory: 6334 grad_norm: 2.3351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0261 loss: 3.0261 2022/08/14 01:17:51 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 8.7457e-02 eta: 2 days, 9:58:04 time: 0.2835 data_time: 0.0175 memory: 6334 grad_norm: 2.3830 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1467 loss: 3.1467 2022/08/14 01:18:20 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 8.7457e-02 eta: 2 days, 9:57:37 time: 0.2896 data_time: 0.0193 memory: 6334 grad_norm: 2.3142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9909 loss: 2.9909 2022/08/14 01:18:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:18:49 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 8.7457e-02 eta: 2 days, 9:57:09 time: 0.2831 data_time: 0.0181 memory: 6334 grad_norm: 2.3243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9434 loss: 2.9434 2022/08/14 01:19:18 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 8.7457e-02 eta: 2 days, 9:56:43 time: 0.2896 data_time: 0.0196 memory: 6334 grad_norm: 2.2996 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9272 loss: 2.9272 2022/08/14 01:19:46 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 8.7457e-02 eta: 2 days, 9:56:16 time: 0.2831 data_time: 0.0187 memory: 6334 grad_norm: 2.3024 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3065 loss: 3.3065 2022/08/14 01:20:15 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 8.7457e-02 eta: 2 days, 9:55:48 time: 0.2817 data_time: 0.0188 memory: 6334 grad_norm: 2.2999 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2589 loss: 3.2589 2022/08/14 01:20:43 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 8.7457e-02 eta: 2 days, 9:55:21 time: 0.2827 data_time: 0.0173 memory: 6334 grad_norm: 2.3120 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0605 loss: 3.0605 2022/08/14 01:21:12 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 8.7457e-02 eta: 2 days, 9:54:54 time: 0.2836 data_time: 0.0176 memory: 6334 grad_norm: 2.3085 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0071 loss: 3.0071 2022/08/14 01:21:40 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 8.7457e-02 eta: 2 days, 9:54:26 time: 0.2863 data_time: 0.0189 memory: 6334 grad_norm: 2.3088 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8648 loss: 2.8648 2022/08/14 01:22:09 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 8.7457e-02 eta: 2 days, 9:53:59 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.2892 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9957 loss: 2.9957 2022/08/14 01:22:38 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 8.7457e-02 eta: 2 days, 9:53:31 time: 0.2872 data_time: 0.0203 memory: 6334 grad_norm: 2.3249 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0695 loss: 3.0695 2022/08/14 01:23:06 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 8.7457e-02 eta: 2 days, 9:53:04 time: 0.2817 data_time: 0.0177 memory: 6334 grad_norm: 2.2927 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4780 loss: 3.4780 2022/08/14 01:23:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:23:35 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 8.7457e-02 eta: 2 days, 9:52:36 time: 0.2812 data_time: 0.0175 memory: 6334 grad_norm: 2.2817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9822 loss: 2.9822 2022/08/14 01:24:03 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 8.7457e-02 eta: 2 days, 9:52:08 time: 0.2819 data_time: 0.0186 memory: 6334 grad_norm: 2.2962 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3086 loss: 3.3086 2022/08/14 01:24:32 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 8.7457e-02 eta: 2 days, 9:51:41 time: 0.2834 data_time: 0.0181 memory: 6334 grad_norm: 2.3243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.1241 loss: 3.1241 2022/08/14 01:25:00 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 8.7457e-02 eta: 2 days, 9:51:13 time: 0.2883 data_time: 0.0186 memory: 6334 grad_norm: 2.2654 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0583 loss: 3.0583 2022/08/14 01:25:29 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 8.7457e-02 eta: 2 days, 9:50:48 time: 0.2891 data_time: 0.0185 memory: 6334 grad_norm: 2.3556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8951 loss: 2.8951 2022/08/14 01:25:58 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 8.7457e-02 eta: 2 days, 9:50:21 time: 0.2877 data_time: 0.0185 memory: 6334 grad_norm: 2.3546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2843 loss: 3.2843 2022/08/14 01:26:26 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 8.7457e-02 eta: 2 days, 9:49:53 time: 0.2824 data_time: 0.0178 memory: 6334 grad_norm: 2.2767 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1538 loss: 3.1538 2022/08/14 01:26:55 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 8.7457e-02 eta: 2 days, 9:49:25 time: 0.2811 data_time: 0.0175 memory: 6334 grad_norm: 2.3035 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8475 loss: 2.8475 2022/08/14 01:27:24 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 8.7457e-02 eta: 2 days, 9:48:59 time: 0.2824 data_time: 0.0177 memory: 6334 grad_norm: 2.3455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1154 loss: 3.1154 2022/08/14 01:27:52 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 8.7457e-02 eta: 2 days, 9:48:31 time: 0.2823 data_time: 0.0180 memory: 6334 grad_norm: 2.2610 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2597 loss: 3.2597 2022/08/14 01:28:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:28:21 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 8.7457e-02 eta: 2 days, 9:48:04 time: 0.2884 data_time: 0.0196 memory: 6334 grad_norm: 2.3395 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2843 loss: 3.2843 2022/08/14 01:28:49 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 8.7457e-02 eta: 2 days, 9:47:36 time: 0.2818 data_time: 0.0180 memory: 6334 grad_norm: 2.3633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8680 loss: 2.8680 2022/08/14 01:29:18 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 8.7457e-02 eta: 2 days, 9:47:09 time: 0.2990 data_time: 0.0191 memory: 6334 grad_norm: 2.3377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0125 loss: 3.0125 2022/08/14 01:29:47 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 8.7457e-02 eta: 2 days, 9:46:41 time: 0.2811 data_time: 0.0178 memory: 6334 grad_norm: 2.3198 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1921 loss: 3.1921 2022/08/14 01:30:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:30:03 - mmengine - INFO - Epoch(train) [60][3757/3757] lr: 8.7457e-02 eta: 2 days, 9:46:31 time: 0.2621 data_time: 0.0157 memory: 6334 grad_norm: 2.2806 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9983 loss: 2.9983 2022/08/14 01:30:03 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/14 01:30:30 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:00:47 time: 0.2251 data_time: 0.1276 memory: 1152 2022/08/14 01:30:51 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:19 time: 0.1808 data_time: 0.0830 memory: 1152 2022/08/14 01:31:10 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.1369 data_time: 0.0600 memory: 1152 2022/08/14 01:31:13 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.3751 acc/top5: 0.6477 acc/mean1: 0.3750 2022/08/14 01:31:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_51.pth is removed 2022/08/14 01:31:15 - mmengine - INFO - The best checkpoint with 0.3751 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/08/14 01:31:45 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 8.7048e-02 eta: 2 days, 9:45:46 time: 0.2827 data_time: 0.0178 memory: 6334 grad_norm: 2.3961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2561 loss: 3.2561 2022/08/14 01:32:13 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 8.7048e-02 eta: 2 days, 9:45:18 time: 0.2838 data_time: 0.0188 memory: 6334 grad_norm: 2.2676 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2468 loss: 3.2468 2022/08/14 01:32:42 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 8.7048e-02 eta: 2 days, 9:44:51 time: 0.2847 data_time: 0.0197 memory: 6334 grad_norm: 2.3038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3096 loss: 3.3096 2022/08/14 01:33:10 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 8.7048e-02 eta: 2 days, 9:44:23 time: 0.2851 data_time: 0.0192 memory: 6334 grad_norm: 2.3084 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1771 loss: 3.1771 2022/08/14 01:33:39 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 8.7048e-02 eta: 2 days, 9:43:55 time: 0.2874 data_time: 0.0219 memory: 6334 grad_norm: 2.2966 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1751 loss: 3.1751 2022/08/14 01:34:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:34:07 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 8.7048e-02 eta: 2 days, 9:43:28 time: 0.2874 data_time: 0.0195 memory: 6334 grad_norm: 2.2375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0805 loss: 3.0805 2022/08/14 01:34:36 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 8.7048e-02 eta: 2 days, 9:43:01 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.2855 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8703 loss: 2.8703 2022/08/14 01:35:05 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 8.7048e-02 eta: 2 days, 9:42:33 time: 0.2804 data_time: 0.0182 memory: 6334 grad_norm: 2.4035 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0921 loss: 3.0921 2022/08/14 01:35:33 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 8.7048e-02 eta: 2 days, 9:42:07 time: 0.2819 data_time: 0.0174 memory: 6334 grad_norm: 2.3511 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2465 loss: 3.2465 2022/08/14 01:36:02 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 8.7048e-02 eta: 2 days, 9:41:39 time: 0.2835 data_time: 0.0183 memory: 6334 grad_norm: 2.2366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1883 loss: 3.1883 2022/08/14 01:36:30 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 8.7048e-02 eta: 2 days, 9:41:11 time: 0.2810 data_time: 0.0184 memory: 6334 grad_norm: 2.2814 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9445 loss: 2.9445 2022/08/14 01:36:59 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 8.7048e-02 eta: 2 days, 9:40:43 time: 0.2837 data_time: 0.0190 memory: 6334 grad_norm: 2.3333 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3044 loss: 3.3044 2022/08/14 01:37:27 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 8.7048e-02 eta: 2 days, 9:40:17 time: 0.2886 data_time: 0.0182 memory: 6334 grad_norm: 2.3334 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3578 loss: 3.3578 2022/08/14 01:37:56 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 8.7048e-02 eta: 2 days, 9:39:50 time: 0.2819 data_time: 0.0173 memory: 6334 grad_norm: 2.2552 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1339 loss: 3.1339 2022/08/14 01:38:25 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 8.7048e-02 eta: 2 days, 9:39:23 time: 0.2827 data_time: 0.0177 memory: 6334 grad_norm: 2.2880 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0968 loss: 3.0968 2022/08/14 01:38:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:38:54 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 8.7048e-02 eta: 2 days, 9:38:56 time: 0.2844 data_time: 0.0199 memory: 6334 grad_norm: 2.2712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1612 loss: 3.1612 2022/08/14 01:39:23 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 8.7048e-02 eta: 2 days, 9:38:29 time: 0.2902 data_time: 0.0189 memory: 6334 grad_norm: 2.3103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1368 loss: 3.1368 2022/08/14 01:39:51 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 8.7048e-02 eta: 2 days, 9:38:03 time: 0.2834 data_time: 0.0185 memory: 6334 grad_norm: 2.3069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8522 loss: 2.8522 2022/08/14 01:40:20 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 8.7048e-02 eta: 2 days, 9:37:37 time: 0.2944 data_time: 0.0185 memory: 6334 grad_norm: 2.3848 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7468 loss: 2.7468 2022/08/14 01:40:49 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 8.7048e-02 eta: 2 days, 9:37:09 time: 0.2817 data_time: 0.0190 memory: 6334 grad_norm: 2.3024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1791 loss: 3.1791 2022/08/14 01:41:18 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 8.7048e-02 eta: 2 days, 9:36:42 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.3279 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1684 loss: 3.1684 2022/08/14 01:41:46 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 8.7048e-02 eta: 2 days, 9:36:14 time: 0.2822 data_time: 0.0188 memory: 6334 grad_norm: 2.3294 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0129 loss: 3.0129 2022/08/14 01:42:15 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 8.7048e-02 eta: 2 days, 9:35:46 time: 0.2813 data_time: 0.0182 memory: 6334 grad_norm: 2.3164 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2443 loss: 3.2443 2022/08/14 01:42:43 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 8.7048e-02 eta: 2 days, 9:35:19 time: 0.2859 data_time: 0.0192 memory: 6334 grad_norm: 2.2879 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9404 loss: 2.9404 2022/08/14 01:43:12 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 8.7048e-02 eta: 2 days, 9:34:51 time: 0.2836 data_time: 0.0188 memory: 6334 grad_norm: 2.2708 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9703 loss: 2.9703 2022/08/14 01:43:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:43:40 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 8.7048e-02 eta: 2 days, 9:34:24 time: 0.2822 data_time: 0.0188 memory: 6334 grad_norm: 2.2890 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3501 loss: 3.3501 2022/08/14 01:44:09 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 8.7048e-02 eta: 2 days, 9:33:57 time: 0.2952 data_time: 0.0197 memory: 6334 grad_norm: 2.3113 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9220 loss: 2.9220 2022/08/14 01:44:37 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 8.7048e-02 eta: 2 days, 9:33:29 time: 0.2810 data_time: 0.0173 memory: 6334 grad_norm: 2.2824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7891 loss: 2.7891 2022/08/14 01:45:06 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 8.7048e-02 eta: 2 days, 9:33:01 time: 0.2859 data_time: 0.0193 memory: 6334 grad_norm: 2.2741 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0670 loss: 3.0670 2022/08/14 01:45:34 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 8.7048e-02 eta: 2 days, 9:32:33 time: 0.2811 data_time: 0.0178 memory: 6334 grad_norm: 2.3106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3104 loss: 3.3104 2022/08/14 01:46:03 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 8.7048e-02 eta: 2 days, 9:32:07 time: 0.2825 data_time: 0.0188 memory: 6334 grad_norm: 2.3791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9888 loss: 2.9888 2022/08/14 01:46:34 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 8.7048e-02 eta: 2 days, 9:31:46 time: 0.2816 data_time: 0.0175 memory: 6334 grad_norm: 2.2650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9574 loss: 2.9574 2022/08/14 01:47:02 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 8.7048e-02 eta: 2 days, 9:31:19 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.3420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0390 loss: 3.0390 2022/08/14 01:47:31 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 8.7048e-02 eta: 2 days, 9:30:52 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.3490 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1044 loss: 3.1044 2022/08/14 01:48:00 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 8.7048e-02 eta: 2 days, 9:30:26 time: 0.3086 data_time: 0.0192 memory: 6334 grad_norm: 2.2635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8966 loss: 2.8966 2022/08/14 01:48:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:48:29 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 8.7048e-02 eta: 2 days, 9:29:58 time: 0.2813 data_time: 0.0170 memory: 6334 grad_norm: 2.2444 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4209 loss: 3.4209 2022/08/14 01:48:57 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 8.7048e-02 eta: 2 days, 9:29:31 time: 0.2826 data_time: 0.0171 memory: 6334 grad_norm: 2.3568 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0668 loss: 3.0668 2022/08/14 01:49:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:49:13 - mmengine - INFO - Epoch(train) [61][3757/3757] lr: 8.7048e-02 eta: 2 days, 9:29:20 time: 0.2613 data_time: 0.0157 memory: 6334 grad_norm: 2.3714 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.3585 loss: 3.3585 2022/08/14 01:49:44 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 8.6633e-02 eta: 2 days, 9:28:38 time: 0.2838 data_time: 0.0188 memory: 6334 grad_norm: 2.3039 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1186 loss: 3.1186 2022/08/14 01:50:12 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 8.6633e-02 eta: 2 days, 9:28:10 time: 0.2846 data_time: 0.0205 memory: 6334 grad_norm: 2.3354 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3011 loss: 3.3011 2022/08/14 01:50:41 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 8.6633e-02 eta: 2 days, 9:27:44 time: 0.2972 data_time: 0.0186 memory: 6334 grad_norm: 2.3214 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0110 loss: 3.0110 2022/08/14 01:51:09 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 8.6633e-02 eta: 2 days, 9:27:16 time: 0.2821 data_time: 0.0194 memory: 6334 grad_norm: 2.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9011 loss: 2.9011 2022/08/14 01:51:38 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 8.6633e-02 eta: 2 days, 9:26:48 time: 0.2803 data_time: 0.0167 memory: 6334 grad_norm: 2.2506 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6084 loss: 3.6084 2022/08/14 01:52:06 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 8.6633e-02 eta: 2 days, 9:26:20 time: 0.2818 data_time: 0.0171 memory: 6334 grad_norm: 2.3644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0564 loss: 3.0564 2022/08/14 01:52:35 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 8.6633e-02 eta: 2 days, 9:25:53 time: 0.2809 data_time: 0.0188 memory: 6334 grad_norm: 2.3167 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3232 loss: 3.3232 2022/08/14 01:53:03 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 8.6633e-02 eta: 2 days, 9:25:25 time: 0.2832 data_time: 0.0198 memory: 6334 grad_norm: 2.3035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1766 loss: 3.1766 2022/08/14 01:53:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:53:32 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 8.6633e-02 eta: 2 days, 9:24:57 time: 0.2824 data_time: 0.0179 memory: 6334 grad_norm: 2.3466 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0660 loss: 3.0660 2022/08/14 01:54:00 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 8.6633e-02 eta: 2 days, 9:24:30 time: 0.2850 data_time: 0.0191 memory: 6334 grad_norm: 2.3393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0205 loss: 3.0205 2022/08/14 01:54:29 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 8.6633e-02 eta: 2 days, 9:24:02 time: 0.2832 data_time: 0.0183 memory: 6334 grad_norm: 2.3222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1249 loss: 3.1249 2022/08/14 01:54:57 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 8.6633e-02 eta: 2 days, 9:23:34 time: 0.2825 data_time: 0.0183 memory: 6334 grad_norm: 2.3575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1388 loss: 3.1388 2022/08/14 01:55:26 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 8.6633e-02 eta: 2 days, 9:23:07 time: 0.2831 data_time: 0.0178 memory: 6334 grad_norm: 2.2665 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8622 loss: 2.8622 2022/08/14 01:55:54 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 8.6633e-02 eta: 2 days, 9:22:39 time: 0.2829 data_time: 0.0176 memory: 6334 grad_norm: 2.2659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1582 loss: 3.1582 2022/08/14 01:56:23 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 8.6633e-02 eta: 2 days, 9:22:12 time: 0.2869 data_time: 0.0206 memory: 6334 grad_norm: 2.2337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3175 loss: 3.3175 2022/08/14 01:56:52 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 8.6633e-02 eta: 2 days, 9:21:44 time: 0.2831 data_time: 0.0176 memory: 6334 grad_norm: 2.2673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9315 loss: 2.9315 2022/08/14 01:57:20 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 8.6633e-02 eta: 2 days, 9:21:16 time: 0.2842 data_time: 0.0182 memory: 6334 grad_norm: 2.3179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1638 loss: 3.1638 2022/08/14 01:57:49 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 8.6633e-02 eta: 2 days, 9:20:49 time: 0.2839 data_time: 0.0186 memory: 6334 grad_norm: 2.3392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1117 loss: 3.1117 2022/08/14 01:57:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 01:58:17 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 8.6633e-02 eta: 2 days, 9:20:22 time: 0.2840 data_time: 0.0180 memory: 6334 grad_norm: 2.3256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1416 loss: 3.1416 2022/08/14 01:58:46 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 8.6633e-02 eta: 2 days, 9:19:54 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.2894 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2149 loss: 3.2149 2022/08/14 01:59:15 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 8.6633e-02 eta: 2 days, 9:19:27 time: 0.2842 data_time: 0.0181 memory: 6334 grad_norm: 2.3503 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3062 loss: 3.3062 2022/08/14 01:59:43 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 8.6633e-02 eta: 2 days, 9:18:59 time: 0.2804 data_time: 0.0181 memory: 6334 grad_norm: 2.3452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1430 loss: 3.1430 2022/08/14 02:00:12 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 8.6633e-02 eta: 2 days, 9:18:31 time: 0.2941 data_time: 0.0208 memory: 6334 grad_norm: 2.3856 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4298 loss: 3.4298 2022/08/14 02:00:42 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 8.6633e-02 eta: 2 days, 9:18:09 time: 0.2826 data_time: 0.0172 memory: 6334 grad_norm: 2.2846 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2739 loss: 3.2739 2022/08/14 02:01:10 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 8.6633e-02 eta: 2 days, 9:17:41 time: 0.2845 data_time: 0.0194 memory: 6334 grad_norm: 2.2764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1601 loss: 3.1601 2022/08/14 02:01:39 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 8.6633e-02 eta: 2 days, 9:17:13 time: 0.2839 data_time: 0.0179 memory: 6334 grad_norm: 2.3348 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3334 loss: 3.3334 2022/08/14 02:02:07 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 8.6633e-02 eta: 2 days, 9:16:46 time: 0.2841 data_time: 0.0191 memory: 6334 grad_norm: 2.4057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9964 loss: 2.9964 2022/08/14 02:02:38 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 8.6633e-02 eta: 2 days, 9:16:26 time: 0.2820 data_time: 0.0179 memory: 6334 grad_norm: 2.2583 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3487 loss: 3.3487 2022/08/14 02:02:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:03:07 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 8.6633e-02 eta: 2 days, 9:15:59 time: 0.2818 data_time: 0.0191 memory: 6334 grad_norm: 2.2785 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2567 loss: 3.2567 2022/08/14 02:03:35 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 8.6633e-02 eta: 2 days, 9:15:31 time: 0.2841 data_time: 0.0171 memory: 6334 grad_norm: 2.3422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9073 loss: 2.9073 2022/08/14 02:04:04 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 8.6633e-02 eta: 2 days, 9:15:04 time: 0.2933 data_time: 0.0169 memory: 6334 grad_norm: 2.3540 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1536 loss: 3.1536 2022/08/14 02:04:33 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 8.6633e-02 eta: 2 days, 9:14:37 time: 0.2876 data_time: 0.0197 memory: 6334 grad_norm: 2.2804 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8654 loss: 2.8654 2022/08/14 02:05:01 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 8.6633e-02 eta: 2 days, 9:14:10 time: 0.2806 data_time: 0.0171 memory: 6334 grad_norm: 2.2933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8487 loss: 2.8487 2022/08/14 02:05:30 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 8.6633e-02 eta: 2 days, 9:13:43 time: 0.2895 data_time: 0.0181 memory: 6334 grad_norm: 2.2889 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1071 loss: 3.1071 2022/08/14 02:05:59 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 8.6633e-02 eta: 2 days, 9:13:15 time: 0.2829 data_time: 0.0181 memory: 6334 grad_norm: 2.1852 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8582 loss: 2.8582 2022/08/14 02:06:27 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 8.6633e-02 eta: 2 days, 9:12:48 time: 0.2827 data_time: 0.0184 memory: 6334 grad_norm: 2.3509 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0795 loss: 3.0795 2022/08/14 02:06:56 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 8.6633e-02 eta: 2 days, 9:12:20 time: 0.2812 data_time: 0.0175 memory: 6334 grad_norm: 2.3170 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.9364 loss: 2.9364 2022/08/14 02:07:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:07:12 - mmengine - INFO - Epoch(train) [62][3757/3757] lr: 8.6633e-02 eta: 2 days, 9:12:09 time: 0.2662 data_time: 0.0157 memory: 6334 grad_norm: 2.2836 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.0732 loss: 3.0732 2022/08/14 02:07:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:07:43 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 8.6212e-02 eta: 2 days, 9:11:29 time: 0.2873 data_time: 0.0207 memory: 6334 grad_norm: 2.3648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9911 loss: 2.9911 2022/08/14 02:08:11 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 8.6212e-02 eta: 2 days, 9:11:01 time: 0.2841 data_time: 0.0169 memory: 6334 grad_norm: 2.3296 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1060 loss: 3.1060 2022/08/14 02:08:40 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 8.6212e-02 eta: 2 days, 9:10:33 time: 0.2829 data_time: 0.0181 memory: 6334 grad_norm: 2.3493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2676 loss: 3.2676 2022/08/14 02:09:08 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 8.6212e-02 eta: 2 days, 9:10:06 time: 0.2825 data_time: 0.0188 memory: 6334 grad_norm: 2.3167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1066 loss: 3.1066 2022/08/14 02:09:37 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 8.6212e-02 eta: 2 days, 9:09:38 time: 0.2813 data_time: 0.0181 memory: 6334 grad_norm: 2.3873 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1591 loss: 3.1591 2022/08/14 02:10:06 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 8.6212e-02 eta: 2 days, 9:09:11 time: 0.2860 data_time: 0.0208 memory: 6334 grad_norm: 2.3027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2160 loss: 3.2160 2022/08/14 02:10:34 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 8.6212e-02 eta: 2 days, 9:08:44 time: 0.2865 data_time: 0.0195 memory: 6334 grad_norm: 2.3595 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1040 loss: 3.1040 2022/08/14 02:11:03 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 8.6212e-02 eta: 2 days, 9:08:16 time: 0.2860 data_time: 0.0194 memory: 6334 grad_norm: 2.2788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0358 loss: 3.0358 2022/08/14 02:11:31 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 8.6212e-02 eta: 2 days, 9:07:48 time: 0.2830 data_time: 0.0186 memory: 6334 grad_norm: 2.3114 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0521 loss: 3.0521 2022/08/14 02:12:00 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 8.6212e-02 eta: 2 days, 9:07:20 time: 0.2832 data_time: 0.0191 memory: 6334 grad_norm: 2.3403 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2707 loss: 3.2707 2022/08/14 02:12:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:12:28 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 8.6212e-02 eta: 2 days, 9:06:52 time: 0.2839 data_time: 0.0179 memory: 6334 grad_norm: 2.3313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1370 loss: 3.1370 2022/08/14 02:12:57 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 8.6212e-02 eta: 2 days, 9:06:25 time: 0.2842 data_time: 0.0191 memory: 6334 grad_norm: 2.3303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0959 loss: 3.0959 2022/08/14 02:13:26 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 8.6212e-02 eta: 2 days, 9:05:58 time: 0.2887 data_time: 0.0202 memory: 6334 grad_norm: 2.3723 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9338 loss: 2.9338 2022/08/14 02:13:54 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 8.6212e-02 eta: 2 days, 9:05:30 time: 0.2832 data_time: 0.0188 memory: 6334 grad_norm: 2.3576 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0512 loss: 3.0512 2022/08/14 02:14:22 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 8.6212e-02 eta: 2 days, 9:05:03 time: 0.2877 data_time: 0.0179 memory: 6334 grad_norm: 2.3244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2299 loss: 3.2299 2022/08/14 02:14:51 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 8.6212e-02 eta: 2 days, 9:04:34 time: 0.2835 data_time: 0.0194 memory: 6334 grad_norm: 2.3398 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0422 loss: 3.0422 2022/08/14 02:15:19 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 8.6212e-02 eta: 2 days, 9:04:07 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.2936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2663 loss: 3.2663 2022/08/14 02:15:48 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 8.6212e-02 eta: 2 days, 9:03:39 time: 0.2820 data_time: 0.0185 memory: 6334 grad_norm: 2.3589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7862 loss: 2.7862 2022/08/14 02:16:17 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 8.6212e-02 eta: 2 days, 9:03:12 time: 0.2893 data_time: 0.0182 memory: 6334 grad_norm: 2.3545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7346 loss: 2.7346 2022/08/14 02:16:45 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 8.6212e-02 eta: 2 days, 9:02:44 time: 0.2871 data_time: 0.0183 memory: 6334 grad_norm: 2.2622 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1275 loss: 3.1275 2022/08/14 02:17:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:17:14 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 8.6212e-02 eta: 2 days, 9:02:18 time: 0.2952 data_time: 0.0241 memory: 6334 grad_norm: 2.3645 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0762 loss: 3.0762 2022/08/14 02:17:43 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 8.6212e-02 eta: 2 days, 9:01:51 time: 0.2878 data_time: 0.0165 memory: 6334 grad_norm: 2.3999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4854 loss: 3.4854 2022/08/14 02:18:11 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 8.6212e-02 eta: 2 days, 9:01:24 time: 0.2863 data_time: 0.0202 memory: 6334 grad_norm: 2.2707 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2525 loss: 3.2525 2022/08/14 02:18:40 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 8.6212e-02 eta: 2 days, 9:00:56 time: 0.2824 data_time: 0.0189 memory: 6334 grad_norm: 2.3752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3670 loss: 3.3670 2022/08/14 02:19:09 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 8.6212e-02 eta: 2 days, 9:00:30 time: 0.2829 data_time: 0.0188 memory: 6334 grad_norm: 2.2976 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0891 loss: 3.0891 2022/08/14 02:19:38 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 8.6212e-02 eta: 2 days, 9:00:03 time: 0.2821 data_time: 0.0187 memory: 6334 grad_norm: 2.3597 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3874 loss: 3.3874 2022/08/14 02:20:06 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 8.6212e-02 eta: 2 days, 8:59:35 time: 0.2879 data_time: 0.0194 memory: 6334 grad_norm: 2.3412 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1279 loss: 3.1279 2022/08/14 02:20:35 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 8.6212e-02 eta: 2 days, 8:59:10 time: 0.2825 data_time: 0.0178 memory: 6334 grad_norm: 2.2823 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1393 loss: 3.1393 2022/08/14 02:21:04 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 8.6212e-02 eta: 2 days, 8:58:43 time: 0.2885 data_time: 0.0224 memory: 6334 grad_norm: 2.3685 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0786 loss: 3.0786 2022/08/14 02:21:33 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 8.6212e-02 eta: 2 days, 8:58:15 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.2760 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2641 loss: 3.2641 2022/08/14 02:21:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:22:01 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 8.6212e-02 eta: 2 days, 8:57:48 time: 0.2876 data_time: 0.0183 memory: 6334 grad_norm: 2.3489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9876 loss: 2.9876 2022/08/14 02:22:30 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 8.6212e-02 eta: 2 days, 8:57:21 time: 0.2823 data_time: 0.0175 memory: 6334 grad_norm: 2.3426 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1467 loss: 3.1467 2022/08/14 02:22:59 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 8.6212e-02 eta: 2 days, 8:56:53 time: 0.2828 data_time: 0.0181 memory: 6334 grad_norm: 2.2877 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1707 loss: 3.1707 2022/08/14 02:23:27 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 8.6212e-02 eta: 2 days, 8:56:26 time: 0.2844 data_time: 0.0191 memory: 6334 grad_norm: 2.2920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2836 loss: 3.2836 2022/08/14 02:23:56 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 8.6212e-02 eta: 2 days, 8:55:58 time: 0.2837 data_time: 0.0186 memory: 6334 grad_norm: 2.2737 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1246 loss: 3.1246 2022/08/14 02:24:25 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 8.6212e-02 eta: 2 days, 8:55:32 time: 0.2991 data_time: 0.0196 memory: 6334 grad_norm: 2.3521 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8969 loss: 2.8969 2022/08/14 02:24:53 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 8.6212e-02 eta: 2 days, 8:55:04 time: 0.2838 data_time: 0.0180 memory: 6334 grad_norm: 2.3364 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1708 loss: 3.1708 2022/08/14 02:25:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:25:09 - mmengine - INFO - Epoch(train) [63][3757/3757] lr: 8.6212e-02 eta: 2 days, 8:54:54 time: 0.2615 data_time: 0.0148 memory: 6334 grad_norm: 2.2843 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.5335 loss: 3.5335 2022/08/14 02:25:40 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 8.5787e-02 eta: 2 days, 8:54:13 time: 0.2830 data_time: 0.0183 memory: 6334 grad_norm: 2.3224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1035 loss: 3.1035 2022/08/14 02:26:09 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 8.5787e-02 eta: 2 days, 8:53:45 time: 0.2830 data_time: 0.0195 memory: 6334 grad_norm: 2.3607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1115 loss: 3.1115 2022/08/14 02:26:37 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 8.5787e-02 eta: 2 days, 8:53:18 time: 0.2828 data_time: 0.0184 memory: 6334 grad_norm: 2.2501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0708 loss: 3.0708 2022/08/14 02:26:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:27:06 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 8.5787e-02 eta: 2 days, 8:52:50 time: 0.2858 data_time: 0.0190 memory: 6334 grad_norm: 2.3349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8065 loss: 2.8065 2022/08/14 02:27:34 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 8.5787e-02 eta: 2 days, 8:52:23 time: 0.2825 data_time: 0.0183 memory: 6334 grad_norm: 2.3734 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1747 loss: 3.1747 2022/08/14 02:28:03 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 8.5787e-02 eta: 2 days, 8:51:56 time: 0.2861 data_time: 0.0205 memory: 6334 grad_norm: 2.2884 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1993 loss: 3.1993 2022/08/14 02:28:32 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 8.5787e-02 eta: 2 days, 8:51:28 time: 0.2826 data_time: 0.0173 memory: 6334 grad_norm: 2.2661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2511 loss: 3.2511 2022/08/14 02:29:00 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 8.5787e-02 eta: 2 days, 8:51:00 time: 0.2826 data_time: 0.0197 memory: 6334 grad_norm: 2.3005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0261 loss: 3.0261 2022/08/14 02:29:29 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 8.5787e-02 eta: 2 days, 8:50:33 time: 0.2836 data_time: 0.0177 memory: 6334 grad_norm: 2.3709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2409 loss: 3.2409 2022/08/14 02:29:57 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 8.5787e-02 eta: 2 days, 8:50:06 time: 0.2848 data_time: 0.0177 memory: 6334 grad_norm: 2.2629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2725 loss: 3.2725 2022/08/14 02:30:26 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 8.5787e-02 eta: 2 days, 8:49:39 time: 0.2875 data_time: 0.0202 memory: 6334 grad_norm: 2.3533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1813 loss: 3.1813 2022/08/14 02:30:55 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 8.5787e-02 eta: 2 days, 8:49:13 time: 0.2836 data_time: 0.0184 memory: 6334 grad_norm: 2.3098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3711 loss: 3.3711 2022/08/14 02:31:24 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 8.5787e-02 eta: 2 days, 8:48:46 time: 0.2999 data_time: 0.0201 memory: 6334 grad_norm: 2.2985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0771 loss: 3.0771 2022/08/14 02:31:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:31:53 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 8.5787e-02 eta: 2 days, 8:48:19 time: 0.2858 data_time: 0.0192 memory: 6334 grad_norm: 2.3053 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0276 loss: 3.0276 2022/08/14 02:32:22 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 8.5787e-02 eta: 2 days, 8:47:52 time: 0.2835 data_time: 0.0182 memory: 6334 grad_norm: 2.2838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0324 loss: 3.0324 2022/08/14 02:32:50 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 8.5787e-02 eta: 2 days, 8:47:24 time: 0.2832 data_time: 0.0185 memory: 6334 grad_norm: 2.4041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2109 loss: 3.2109 2022/08/14 02:33:19 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 8.5787e-02 eta: 2 days, 8:46:57 time: 0.2835 data_time: 0.0179 memory: 6334 grad_norm: 2.3339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9747 loss: 2.9747 2022/08/14 02:33:47 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 8.5787e-02 eta: 2 days, 8:46:29 time: 0.2861 data_time: 0.0197 memory: 6334 grad_norm: 2.3427 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9531 loss: 2.9531 2022/08/14 02:34:16 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 8.5787e-02 eta: 2 days, 8:46:02 time: 0.2836 data_time: 0.0188 memory: 6334 grad_norm: 2.3053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5084 loss: 3.5084 2022/08/14 02:34:44 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 8.5787e-02 eta: 2 days, 8:45:34 time: 0.2812 data_time: 0.0170 memory: 6334 grad_norm: 2.3312 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1631 loss: 3.1631 2022/08/14 02:35:13 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 8.5787e-02 eta: 2 days, 8:45:07 time: 0.2879 data_time: 0.0190 memory: 6334 grad_norm: 2.2274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0774 loss: 3.0774 2022/08/14 02:35:42 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 8.5787e-02 eta: 2 days, 8:44:40 time: 0.2829 data_time: 0.0188 memory: 6334 grad_norm: 2.3579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4044 loss: 3.4044 2022/08/14 02:36:10 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 8.5787e-02 eta: 2 days, 8:44:12 time: 0.2834 data_time: 0.0182 memory: 6334 grad_norm: 2.3746 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3517 loss: 3.3517 2022/08/14 02:36:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:36:39 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 8.5787e-02 eta: 2 days, 8:43:44 time: 0.2835 data_time: 0.0178 memory: 6334 grad_norm: 2.3110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1895 loss: 3.1895 2022/08/14 02:37:08 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 8.5787e-02 eta: 2 days, 8:43:17 time: 0.2891 data_time: 0.0207 memory: 6334 grad_norm: 2.3926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1842 loss: 3.1842 2022/08/14 02:37:36 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 8.5787e-02 eta: 2 days, 8:42:49 time: 0.2822 data_time: 0.0176 memory: 6334 grad_norm: 2.4085 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1501 loss: 3.1501 2022/08/14 02:38:05 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 8.5787e-02 eta: 2 days, 8:42:22 time: 0.2828 data_time: 0.0183 memory: 6334 grad_norm: 2.2860 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3126 loss: 3.3126 2022/08/14 02:38:33 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 8.5787e-02 eta: 2 days, 8:41:55 time: 0.2866 data_time: 0.0202 memory: 6334 grad_norm: 2.3370 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9928 loss: 2.9928 2022/08/14 02:39:02 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 8.5787e-02 eta: 2 days, 8:41:27 time: 0.2833 data_time: 0.0183 memory: 6334 grad_norm: 2.3370 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9656 loss: 2.9656 2022/08/14 02:39:31 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 8.5787e-02 eta: 2 days, 8:41:00 time: 0.2835 data_time: 0.0182 memory: 6334 grad_norm: 2.3267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0726 loss: 3.0726 2022/08/14 02:39:59 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 8.5787e-02 eta: 2 days, 8:40:32 time: 0.2828 data_time: 0.0183 memory: 6334 grad_norm: 2.3684 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2909 loss: 3.2909 2022/08/14 02:40:28 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 8.5787e-02 eta: 2 days, 8:40:05 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.3612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2437 loss: 3.2437 2022/08/14 02:40:57 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 8.5787e-02 eta: 2 days, 8:39:38 time: 0.2888 data_time: 0.0191 memory: 6334 grad_norm: 2.2838 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2640 loss: 3.2640 2022/08/14 02:40:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:41:25 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 8.5787e-02 eta: 2 days, 8:39:10 time: 0.2851 data_time: 0.0177 memory: 6334 grad_norm: 2.3585 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9519 loss: 2.9519 2022/08/14 02:41:54 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 8.5787e-02 eta: 2 days, 8:38:43 time: 0.2905 data_time: 0.0200 memory: 6334 grad_norm: 2.3275 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1599 loss: 3.1599 2022/08/14 02:42:23 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 8.5787e-02 eta: 2 days, 8:38:16 time: 0.2827 data_time: 0.0179 memory: 6334 grad_norm: 2.3582 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1021 loss: 3.1021 2022/08/14 02:42:51 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 8.5787e-02 eta: 2 days, 8:37:49 time: 0.2847 data_time: 0.0190 memory: 6334 grad_norm: 2.3627 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2665 loss: 3.2665 2022/08/14 02:43:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:43:07 - mmengine - INFO - Epoch(train) [64][3757/3757] lr: 8.5787e-02 eta: 2 days, 8:37:38 time: 0.2626 data_time: 0.0159 memory: 6334 grad_norm: 2.3442 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.0045 loss: 3.0045 2022/08/14 02:43:07 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/14 02:43:40 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 8.5355e-02 eta: 2 days, 8:36:54 time: 0.2833 data_time: 0.0177 memory: 6334 grad_norm: 2.2759 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2382 loss: 3.2382 2022/08/14 02:44:09 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 8.5355e-02 eta: 2 days, 8:36:26 time: 0.2858 data_time: 0.0191 memory: 6334 grad_norm: 2.3284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0657 loss: 3.0657 2022/08/14 02:44:37 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 8.5355e-02 eta: 2 days, 8:35:58 time: 0.2829 data_time: 0.0187 memory: 6334 grad_norm: 2.3446 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0694 loss: 3.0694 2022/08/14 02:45:06 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 8.5355e-02 eta: 2 days, 8:35:31 time: 0.2835 data_time: 0.0187 memory: 6334 grad_norm: 2.3536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1129 loss: 3.1129 2022/08/14 02:45:34 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 8.5355e-02 eta: 2 days, 8:35:03 time: 0.2810 data_time: 0.0184 memory: 6334 grad_norm: 2.3358 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0891 loss: 3.0891 2022/08/14 02:45:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:46:03 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 8.5355e-02 eta: 2 days, 8:34:35 time: 0.2835 data_time: 0.0187 memory: 6334 grad_norm: 2.3611 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0616 loss: 3.0616 2022/08/14 02:46:31 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 8.5355e-02 eta: 2 days, 8:34:08 time: 0.2819 data_time: 0.0187 memory: 6334 grad_norm: 2.3238 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0867 loss: 3.0867 2022/08/14 02:47:00 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 8.5355e-02 eta: 2 days, 8:33:40 time: 0.2834 data_time: 0.0175 memory: 6334 grad_norm: 2.3558 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2806 loss: 3.2806 2022/08/14 02:47:28 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 8.5355e-02 eta: 2 days, 8:33:12 time: 0.2846 data_time: 0.0189 memory: 6334 grad_norm: 2.3226 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9429 loss: 2.9429 2022/08/14 02:47:57 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 8.5355e-02 eta: 2 days, 8:32:45 time: 0.2864 data_time: 0.0180 memory: 6334 grad_norm: 2.2913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1171 loss: 3.1171 2022/08/14 02:48:26 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 8.5355e-02 eta: 2 days, 8:32:19 time: 0.2851 data_time: 0.0177 memory: 6334 grad_norm: 2.3114 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2276 loss: 3.2276 2022/08/14 02:48:55 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 8.5355e-02 eta: 2 days, 8:31:52 time: 0.2842 data_time: 0.0185 memory: 6334 grad_norm: 2.4182 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2535 loss: 3.2535 2022/08/14 02:49:23 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 8.5355e-02 eta: 2 days, 8:31:24 time: 0.2831 data_time: 0.0195 memory: 6334 grad_norm: 2.3426 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9565 loss: 2.9565 2022/08/14 02:49:52 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 8.5355e-02 eta: 2 days, 8:30:56 time: 0.2832 data_time: 0.0172 memory: 6334 grad_norm: 2.3625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0106 loss: 3.0106 2022/08/14 02:50:20 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 8.5355e-02 eta: 2 days, 8:30:29 time: 0.2858 data_time: 0.0178 memory: 6334 grad_norm: 2.3839 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8878 loss: 2.8878 2022/08/14 02:50:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:50:49 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 8.5355e-02 eta: 2 days, 8:30:01 time: 0.2830 data_time: 0.0181 memory: 6334 grad_norm: 2.2971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2682 loss: 3.2682 2022/08/14 02:51:18 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 8.5355e-02 eta: 2 days, 8:29:34 time: 0.2913 data_time: 0.0188 memory: 6334 grad_norm: 2.3152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3642 loss: 3.3642 2022/08/14 02:51:46 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 8.5355e-02 eta: 2 days, 8:29:06 time: 0.2817 data_time: 0.0178 memory: 6334 grad_norm: 2.2512 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0704 loss: 3.0704 2022/08/14 02:52:15 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 8.5355e-02 eta: 2 days, 8:28:39 time: 0.2845 data_time: 0.0195 memory: 6334 grad_norm: 2.3621 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5318 loss: 3.5318 2022/08/14 02:52:43 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 8.5355e-02 eta: 2 days, 8:28:11 time: 0.2830 data_time: 0.0179 memory: 6334 grad_norm: 2.3467 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0195 loss: 3.0195 2022/08/14 02:53:12 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 8.5355e-02 eta: 2 days, 8:27:43 time: 0.2807 data_time: 0.0190 memory: 6334 grad_norm: 2.3121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1670 loss: 3.1670 2022/08/14 02:53:40 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 8.5355e-02 eta: 2 days, 8:27:15 time: 0.2828 data_time: 0.0180 memory: 6334 grad_norm: 2.3350 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2857 loss: 3.2857 2022/08/14 02:54:09 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 8.5355e-02 eta: 2 days, 8:26:48 time: 0.2841 data_time: 0.0188 memory: 6334 grad_norm: 2.3120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3145 loss: 3.3145 2022/08/14 02:54:38 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 8.5355e-02 eta: 2 days, 8:26:21 time: 0.2835 data_time: 0.0189 memory: 6334 grad_norm: 2.3730 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1851 loss: 3.1851 2022/08/14 02:55:06 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 8.5355e-02 eta: 2 days, 8:25:53 time: 0.2857 data_time: 0.0221 memory: 6334 grad_norm: 2.2786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8242 loss: 2.8242 2022/08/14 02:55:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 02:55:35 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 8.5355e-02 eta: 2 days, 8:25:26 time: 0.2884 data_time: 0.0180 memory: 6334 grad_norm: 2.2446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0684 loss: 3.0684 2022/08/14 02:56:03 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 8.5355e-02 eta: 2 days, 8:24:57 time: 0.2846 data_time: 0.0189 memory: 6334 grad_norm: 2.3058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0536 loss: 3.0536 2022/08/14 02:56:32 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 8.5355e-02 eta: 2 days, 8:24:30 time: 0.2834 data_time: 0.0178 memory: 6334 grad_norm: 2.4081 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1744 loss: 3.1744 2022/08/14 02:57:00 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 8.5355e-02 eta: 2 days, 8:24:02 time: 0.2839 data_time: 0.0185 memory: 6334 grad_norm: 2.2861 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8808 loss: 2.8808 2022/08/14 02:57:29 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 8.5355e-02 eta: 2 days, 8:23:34 time: 0.2825 data_time: 0.0180 memory: 6334 grad_norm: 2.3337 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3369 loss: 3.3369 2022/08/14 02:57:57 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 8.5355e-02 eta: 2 days, 8:23:07 time: 0.2889 data_time: 0.0205 memory: 6334 grad_norm: 2.3608 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9835 loss: 2.9835 2022/08/14 02:58:26 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 8.5355e-02 eta: 2 days, 8:22:39 time: 0.2857 data_time: 0.0184 memory: 6334 grad_norm: 2.3922 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3301 loss: 3.3301 2022/08/14 02:58:54 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 8.5355e-02 eta: 2 days, 8:22:11 time: 0.2822 data_time: 0.0192 memory: 6334 grad_norm: 2.2956 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3481 loss: 3.3481 2022/08/14 02:59:23 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 8.5355e-02 eta: 2 days, 8:21:44 time: 0.2835 data_time: 0.0199 memory: 6334 grad_norm: 2.3069 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1057 loss: 3.1057 2022/08/14 02:59:52 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 8.5355e-02 eta: 2 days, 8:21:16 time: 0.2842 data_time: 0.0187 memory: 6334 grad_norm: 2.3681 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2167 loss: 3.2167 2022/08/14 03:00:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:00:20 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 8.5355e-02 eta: 2 days, 8:20:48 time: 0.2851 data_time: 0.0183 memory: 6334 grad_norm: 2.3330 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4536 loss: 3.4536 2022/08/14 03:00:49 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 8.5355e-02 eta: 2 days, 8:20:21 time: 0.2840 data_time: 0.0195 memory: 6334 grad_norm: 2.3370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1279 loss: 3.1279 2022/08/14 03:01:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:01:04 - mmengine - INFO - Epoch(train) [65][3757/3757] lr: 8.5355e-02 eta: 2 days, 8:20:10 time: 0.2616 data_time: 0.0152 memory: 6334 grad_norm: 2.4081 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 3.0976 loss: 3.0976 2022/08/14 03:01:27 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:00:46 time: 0.2236 data_time: 0.1262 memory: 1152 2022/08/14 03:01:48 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:00:21 time: 0.1940 data_time: 0.0964 memory: 1152 2022/08/14 03:02:09 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:02 time: 0.2027 data_time: 0.1033 memory: 1152 2022/08/14 03:02:14 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.3714 acc/top5: 0.6498 acc/mean1: 0.3713 2022/08/14 03:02:44 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 8.4919e-02 eta: 2 days, 8:19:29 time: 0.2834 data_time: 0.0182 memory: 6334 grad_norm: 2.3550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7584 loss: 2.7584 2022/08/14 03:03:13 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 8.4919e-02 eta: 2 days, 8:19:01 time: 0.2834 data_time: 0.0180 memory: 6334 grad_norm: 2.3751 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1898 loss: 3.1898 2022/08/14 03:03:42 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 8.4919e-02 eta: 2 days, 8:18:34 time: 0.2871 data_time: 0.0200 memory: 6334 grad_norm: 2.3806 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0527 loss: 3.0527 2022/08/14 03:04:10 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 8.4919e-02 eta: 2 days, 8:18:06 time: 0.2840 data_time: 0.0188 memory: 6334 grad_norm: 2.3966 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1329 loss: 3.1329 2022/08/14 03:04:39 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 8.4919e-02 eta: 2 days, 8:17:39 time: 0.2831 data_time: 0.0195 memory: 6334 grad_norm: 2.3876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0651 loss: 3.0651 2022/08/14 03:05:07 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 8.4919e-02 eta: 2 days, 8:17:11 time: 0.2833 data_time: 0.0190 memory: 6334 grad_norm: 2.3661 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3291 loss: 3.3291 2022/08/14 03:05:36 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 8.4919e-02 eta: 2 days, 8:16:43 time: 0.2834 data_time: 0.0177 memory: 6334 grad_norm: 2.3992 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1557 loss: 3.1557 2022/08/14 03:06:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:06:04 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 8.4919e-02 eta: 2 days, 8:16:15 time: 0.2827 data_time: 0.0191 memory: 6334 grad_norm: 2.3464 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2988 loss: 3.2988 2022/08/14 03:06:33 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 8.4919e-02 eta: 2 days, 8:15:48 time: 0.2829 data_time: 0.0186 memory: 6334 grad_norm: 2.3665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0183 loss: 3.0183 2022/08/14 03:07:02 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 8.4919e-02 eta: 2 days, 8:15:21 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.3631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3133 loss: 3.3133 2022/08/14 03:07:30 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 8.4919e-02 eta: 2 days, 8:14:53 time: 0.2855 data_time: 0.0190 memory: 6334 grad_norm: 2.3159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1541 loss: 3.1541 2022/08/14 03:07:59 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 8.4919e-02 eta: 2 days, 8:14:26 time: 0.2875 data_time: 0.0200 memory: 6334 grad_norm: 2.2084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0297 loss: 3.0297 2022/08/14 03:08:27 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 8.4919e-02 eta: 2 days, 8:13:58 time: 0.2826 data_time: 0.0188 memory: 6334 grad_norm: 2.2983 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9998 loss: 2.9998 2022/08/14 03:08:56 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 8.4919e-02 eta: 2 days, 8:13:30 time: 0.2825 data_time: 0.0180 memory: 6334 grad_norm: 2.3948 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0633 loss: 3.0633 2022/08/14 03:09:24 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 8.4919e-02 eta: 2 days, 8:13:03 time: 0.2827 data_time: 0.0178 memory: 6334 grad_norm: 2.3234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8410 loss: 2.8410 2022/08/14 03:09:53 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 8.4919e-02 eta: 2 days, 8:12:35 time: 0.2830 data_time: 0.0166 memory: 6334 grad_norm: 2.2969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0126 loss: 3.0126 2022/08/14 03:10:22 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 8.4919e-02 eta: 2 days, 8:12:07 time: 0.2894 data_time: 0.0199 memory: 6334 grad_norm: 2.3209 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9373 loss: 2.9373 2022/08/14 03:10:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:10:50 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 8.4919e-02 eta: 2 days, 8:11:40 time: 0.2822 data_time: 0.0189 memory: 6334 grad_norm: 2.3731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1218 loss: 3.1218 2022/08/14 03:11:19 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 8.4919e-02 eta: 2 days, 8:11:12 time: 0.2830 data_time: 0.0188 memory: 6334 grad_norm: 2.3251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2372 loss: 3.2372 2022/08/14 03:11:47 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 8.4919e-02 eta: 2 days, 8:10:44 time: 0.2825 data_time: 0.0187 memory: 6334 grad_norm: 2.3085 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0329 loss: 3.0329 2022/08/14 03:12:16 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 8.4919e-02 eta: 2 days, 8:10:16 time: 0.2828 data_time: 0.0185 memory: 6334 grad_norm: 2.3163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0474 loss: 3.0474 2022/08/14 03:12:44 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 8.4919e-02 eta: 2 days, 8:09:49 time: 0.2829 data_time: 0.0175 memory: 6334 grad_norm: 2.3144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8688 loss: 2.8688 2022/08/14 03:13:13 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 8.4919e-02 eta: 2 days, 8:09:21 time: 0.2856 data_time: 0.0201 memory: 6334 grad_norm: 2.3783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0421 loss: 3.0421 2022/08/14 03:13:41 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 8.4919e-02 eta: 2 days, 8:08:54 time: 0.2833 data_time: 0.0191 memory: 6334 grad_norm: 2.2655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0895 loss: 3.0895 2022/08/14 03:14:10 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 8.4919e-02 eta: 2 days, 8:08:26 time: 0.2832 data_time: 0.0202 memory: 6334 grad_norm: 2.3243 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1030 loss: 3.1030 2022/08/14 03:14:38 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 8.4919e-02 eta: 2 days, 8:07:58 time: 0.2836 data_time: 0.0205 memory: 6334 grad_norm: 2.3284 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2635 loss: 3.2635 2022/08/14 03:15:07 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 8.4919e-02 eta: 2 days, 8:07:30 time: 0.2871 data_time: 0.0222 memory: 6334 grad_norm: 2.3262 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3484 loss: 3.3484 2022/08/14 03:15:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:15:35 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 8.4919e-02 eta: 2 days, 8:07:02 time: 0.2828 data_time: 0.0189 memory: 6334 grad_norm: 2.4036 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3358 loss: 3.3358 2022/08/14 03:16:04 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 8.4919e-02 eta: 2 days, 8:06:34 time: 0.2811 data_time: 0.0183 memory: 6334 grad_norm: 2.3623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9442 loss: 2.9442 2022/08/14 03:16:32 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 8.4919e-02 eta: 2 days, 8:06:06 time: 0.2835 data_time: 0.0177 memory: 6334 grad_norm: 2.3040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3287 loss: 3.3287 2022/08/14 03:17:01 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 8.4919e-02 eta: 2 days, 8:05:38 time: 0.2878 data_time: 0.0194 memory: 6334 grad_norm: 2.3774 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1675 loss: 3.1675 2022/08/14 03:17:29 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 8.4919e-02 eta: 2 days, 8:05:10 time: 0.2820 data_time: 0.0180 memory: 6334 grad_norm: 2.3246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1161 loss: 3.1161 2022/08/14 03:17:58 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 8.4919e-02 eta: 2 days, 8:04:43 time: 0.2857 data_time: 0.0236 memory: 6334 grad_norm: 2.3437 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1032 loss: 3.1032 2022/08/14 03:18:26 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 8.4919e-02 eta: 2 days, 8:04:15 time: 0.2820 data_time: 0.0183 memory: 6334 grad_norm: 2.3288 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0402 loss: 3.0402 2022/08/14 03:18:55 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 8.4919e-02 eta: 2 days, 8:03:47 time: 0.2842 data_time: 0.0186 memory: 6334 grad_norm: 2.3258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.5273 loss: 3.5273 2022/08/14 03:19:23 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 8.4919e-02 eta: 2 days, 8:03:19 time: 0.2851 data_time: 0.0190 memory: 6334 grad_norm: 2.3695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5346 loss: 3.5346 2022/08/14 03:19:52 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 8.4919e-02 eta: 2 days, 8:02:52 time: 0.2863 data_time: 0.0185 memory: 6334 grad_norm: 2.3579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9097 loss: 2.9097 2022/08/14 03:20:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:20:08 - mmengine - INFO - Epoch(train) [66][3757/3757] lr: 8.4919e-02 eta: 2 days, 8:02:41 time: 0.2627 data_time: 0.0152 memory: 6334 grad_norm: 2.2683 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.0708 loss: 3.0708 2022/08/14 03:20:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:20:38 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 8.4477e-02 eta: 2 days, 8:02:00 time: 0.2825 data_time: 0.0175 memory: 6334 grad_norm: 2.2916 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1766 loss: 3.1766 2022/08/14 03:21:07 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 8.4477e-02 eta: 2 days, 8:01:32 time: 0.2817 data_time: 0.0177 memory: 6334 grad_norm: 2.3828 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2980 loss: 3.2980 2022/08/14 03:21:35 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 8.4477e-02 eta: 2 days, 8:01:04 time: 0.2827 data_time: 0.0187 memory: 6334 grad_norm: 2.4058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0045 loss: 3.0045 2022/08/14 03:22:04 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 8.4477e-02 eta: 2 days, 8:00:36 time: 0.2823 data_time: 0.0190 memory: 6334 grad_norm: 2.3696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1148 loss: 3.1148 2022/08/14 03:22:32 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 8.4477e-02 eta: 2 days, 8:00:08 time: 0.2826 data_time: 0.0188 memory: 6334 grad_norm: 2.3955 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2270 loss: 3.2270 2022/08/14 03:23:00 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 8.4477e-02 eta: 2 days, 7:59:40 time: 0.2841 data_time: 0.0183 memory: 6334 grad_norm: 2.3059 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2587 loss: 3.2587 2022/08/14 03:23:29 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 8.4477e-02 eta: 2 days, 7:59:12 time: 0.2843 data_time: 0.0197 memory: 6334 grad_norm: 2.3081 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9156 loss: 2.9156 2022/08/14 03:23:57 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 8.4477e-02 eta: 2 days, 7:58:44 time: 0.2820 data_time: 0.0181 memory: 6334 grad_norm: 2.2464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2697 loss: 3.2697 2022/08/14 03:24:26 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 8.4477e-02 eta: 2 days, 7:58:16 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.3674 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1834 loss: 3.1834 2022/08/14 03:24:55 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 8.4477e-02 eta: 2 days, 7:57:49 time: 0.2837 data_time: 0.0182 memory: 6334 grad_norm: 2.3298 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3932 loss: 3.3932 2022/08/14 03:25:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:25:23 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 8.4477e-02 eta: 2 days, 7:57:21 time: 0.2843 data_time: 0.0186 memory: 6334 grad_norm: 2.3651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1447 loss: 3.1447 2022/08/14 03:25:52 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 8.4477e-02 eta: 2 days, 7:56:53 time: 0.2856 data_time: 0.0191 memory: 6334 grad_norm: 2.2826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3033 loss: 3.3033 2022/08/14 03:26:20 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 8.4477e-02 eta: 2 days, 7:56:26 time: 0.2874 data_time: 0.0184 memory: 6334 grad_norm: 2.3604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1395 loss: 3.1395 2022/08/14 03:26:49 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 8.4477e-02 eta: 2 days, 7:55:58 time: 0.2828 data_time: 0.0185 memory: 6334 grad_norm: 2.2938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9931 loss: 2.9931 2022/08/14 03:27:17 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 8.4477e-02 eta: 2 days, 7:55:30 time: 0.2825 data_time: 0.0177 memory: 6334 grad_norm: 2.2762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3005 loss: 3.3005 2022/08/14 03:27:46 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 8.4477e-02 eta: 2 days, 7:55:02 time: 0.2840 data_time: 0.0170 memory: 6334 grad_norm: 2.3291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0294 loss: 3.0294 2022/08/14 03:28:14 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 8.4477e-02 eta: 2 days, 7:54:35 time: 0.2824 data_time: 0.0175 memory: 6334 grad_norm: 2.2822 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9803 loss: 2.9803 2022/08/14 03:28:43 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 8.4477e-02 eta: 2 days, 7:54:07 time: 0.2855 data_time: 0.0192 memory: 6334 grad_norm: 2.3121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9032 loss: 2.9032 2022/08/14 03:29:11 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 8.4477e-02 eta: 2 days, 7:53:39 time: 0.2838 data_time: 0.0174 memory: 6334 grad_norm: 2.2986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0767 loss: 3.0767 2022/08/14 03:29:40 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 8.4477e-02 eta: 2 days, 7:53:12 time: 0.2867 data_time: 0.0194 memory: 6334 grad_norm: 2.3981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1296 loss: 3.1296 2022/08/14 03:29:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:30:08 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 8.4477e-02 eta: 2 days, 7:52:44 time: 0.2826 data_time: 0.0196 memory: 6334 grad_norm: 2.4085 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8484 loss: 2.8484 2022/08/14 03:30:37 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 8.4477e-02 eta: 2 days, 7:52:16 time: 0.2824 data_time: 0.0182 memory: 6334 grad_norm: 2.2977 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0000 loss: 3.0000 2022/08/14 03:31:05 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 8.4477e-02 eta: 2 days, 7:51:48 time: 0.2830 data_time: 0.0179 memory: 6334 grad_norm: 2.4239 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2871 loss: 3.2871 2022/08/14 03:31:34 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 8.4477e-02 eta: 2 days, 7:51:20 time: 0.2829 data_time: 0.0185 memory: 6334 grad_norm: 2.2798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9554 loss: 2.9554 2022/08/14 03:32:02 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 8.4477e-02 eta: 2 days, 7:50:52 time: 0.2821 data_time: 0.0191 memory: 6334 grad_norm: 2.3588 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1330 loss: 3.1330 2022/08/14 03:32:31 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 8.4477e-02 eta: 2 days, 7:50:24 time: 0.2823 data_time: 0.0177 memory: 6334 grad_norm: 2.3020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9822 loss: 2.9822 2022/08/14 03:32:59 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 8.4477e-02 eta: 2 days, 7:49:56 time: 0.2829 data_time: 0.0184 memory: 6334 grad_norm: 2.2795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3123 loss: 3.3123 2022/08/14 03:33:28 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 8.4477e-02 eta: 2 days, 7:49:28 time: 0.2829 data_time: 0.0183 memory: 6334 grad_norm: 2.3648 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9285 loss: 2.9285 2022/08/14 03:33:56 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 8.4477e-02 eta: 2 days, 7:49:00 time: 0.2834 data_time: 0.0187 memory: 6334 grad_norm: 2.3291 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0760 loss: 3.0760 2022/08/14 03:34:25 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 8.4477e-02 eta: 2 days, 7:48:32 time: 0.2837 data_time: 0.0183 memory: 6334 grad_norm: 2.3675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8797 loss: 2.8797 2022/08/14 03:34:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:34:53 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 8.4477e-02 eta: 2 days, 7:48:04 time: 0.2822 data_time: 0.0181 memory: 6334 grad_norm: 2.2756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1164 loss: 3.1164 2022/08/14 03:35:21 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 8.4477e-02 eta: 2 days, 7:47:36 time: 0.2838 data_time: 0.0191 memory: 6334 grad_norm: 2.3410 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0848 loss: 3.0848 2022/08/14 03:35:50 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 8.4477e-02 eta: 2 days, 7:47:08 time: 0.2821 data_time: 0.0171 memory: 6334 grad_norm: 2.3454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9170 loss: 2.9170 2022/08/14 03:36:18 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 8.4477e-02 eta: 2 days, 7:46:40 time: 0.2826 data_time: 0.0182 memory: 6334 grad_norm: 2.3579 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1117 loss: 3.1117 2022/08/14 03:36:47 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 8.4477e-02 eta: 2 days, 7:46:12 time: 0.2820 data_time: 0.0180 memory: 6334 grad_norm: 2.3279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0235 loss: 3.0235 2022/08/14 03:37:15 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 8.4477e-02 eta: 2 days, 7:45:44 time: 0.2828 data_time: 0.0174 memory: 6334 grad_norm: 2.3533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0715 loss: 3.0715 2022/08/14 03:37:44 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 8.4477e-02 eta: 2 days, 7:45:16 time: 0.2820 data_time: 0.0176 memory: 6334 grad_norm: 2.4008 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0653 loss: 3.0653 2022/08/14 03:37:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:37:59 - mmengine - INFO - Epoch(train) [67][3757/3757] lr: 8.4477e-02 eta: 2 days, 7:45:05 time: 0.2633 data_time: 0.0162 memory: 6334 grad_norm: 2.3721 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 3.0927 loss: 3.0927 2022/08/14 03:38:30 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 8.4030e-02 eta: 2 days, 7:44:25 time: 0.2907 data_time: 0.0185 memory: 6334 grad_norm: 2.3663 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1575 loss: 3.1575 2022/08/14 03:38:59 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 8.4030e-02 eta: 2 days, 7:43:57 time: 0.2832 data_time: 0.0174 memory: 6334 grad_norm: 2.2947 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1119 loss: 3.1119 2022/08/14 03:39:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:39:27 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 8.4030e-02 eta: 2 days, 7:43:29 time: 0.2805 data_time: 0.0171 memory: 6334 grad_norm: 2.3394 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2016 loss: 3.2016 2022/08/14 03:39:56 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 8.4030e-02 eta: 2 days, 7:43:02 time: 0.2823 data_time: 0.0186 memory: 6334 grad_norm: 2.3118 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2029 loss: 3.2029 2022/08/14 03:40:24 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 8.4030e-02 eta: 2 days, 7:42:34 time: 0.2837 data_time: 0.0185 memory: 6334 grad_norm: 2.3812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3578 loss: 3.3578 2022/08/14 03:40:53 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 8.4030e-02 eta: 2 days, 7:42:06 time: 0.2850 data_time: 0.0199 memory: 6334 grad_norm: 2.3987 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0352 loss: 3.0352 2022/08/14 03:41:21 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 8.4030e-02 eta: 2 days, 7:41:38 time: 0.2840 data_time: 0.0180 memory: 6334 grad_norm: 2.2728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1262 loss: 3.1262 2022/08/14 03:41:50 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 8.4030e-02 eta: 2 days, 7:41:11 time: 0.2866 data_time: 0.0184 memory: 6334 grad_norm: 2.4075 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9484 loss: 2.9484 2022/08/14 03:42:18 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 8.4030e-02 eta: 2 days, 7:40:42 time: 0.2814 data_time: 0.0181 memory: 6334 grad_norm: 2.4174 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2301 loss: 3.2301 2022/08/14 03:42:47 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 8.4030e-02 eta: 2 days, 7:40:15 time: 0.2827 data_time: 0.0167 memory: 6334 grad_norm: 2.3401 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9862 loss: 2.9862 2022/08/14 03:43:15 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 8.4030e-02 eta: 2 days, 7:39:47 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.3198 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7764 loss: 2.7764 2022/08/14 03:43:44 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 8.4030e-02 eta: 2 days, 7:39:19 time: 0.2845 data_time: 0.0196 memory: 6334 grad_norm: 2.3224 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2139 loss: 3.2139 2022/08/14 03:44:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:44:12 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 8.4030e-02 eta: 2 days, 7:38:51 time: 0.2828 data_time: 0.0187 memory: 6334 grad_norm: 2.3665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1958 loss: 3.1958 2022/08/14 03:44:41 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 8.4030e-02 eta: 2 days, 7:38:23 time: 0.2834 data_time: 0.0188 memory: 6334 grad_norm: 2.3263 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8215 loss: 2.8215 2022/08/14 03:45:09 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 8.4030e-02 eta: 2 days, 7:37:55 time: 0.2830 data_time: 0.0181 memory: 6334 grad_norm: 2.3387 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2403 loss: 3.2403 2022/08/14 03:45:38 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 8.4030e-02 eta: 2 days, 7:37:27 time: 0.2817 data_time: 0.0171 memory: 6334 grad_norm: 2.3747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1770 loss: 3.1770 2022/08/14 03:46:06 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 8.4030e-02 eta: 2 days, 7:36:59 time: 0.2831 data_time: 0.0195 memory: 6334 grad_norm: 2.3395 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9798 loss: 2.9798 2022/08/14 03:46:35 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 8.4030e-02 eta: 2 days, 7:36:31 time: 0.2856 data_time: 0.0187 memory: 6334 grad_norm: 2.3921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0478 loss: 3.0478 2022/08/14 03:47:03 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 8.4030e-02 eta: 2 days, 7:36:03 time: 0.2825 data_time: 0.0185 memory: 6334 grad_norm: 2.3607 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9684 loss: 2.9684 2022/08/14 03:47:32 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 8.4030e-02 eta: 2 days, 7:35:36 time: 0.2830 data_time: 0.0191 memory: 6334 grad_norm: 2.3433 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0356 loss: 3.0356 2022/08/14 03:48:00 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 8.4030e-02 eta: 2 days, 7:35:08 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.3841 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3777 loss: 3.3777 2022/08/14 03:48:29 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 8.4030e-02 eta: 2 days, 7:34:40 time: 0.2822 data_time: 0.0189 memory: 6334 grad_norm: 2.3328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2367 loss: 3.2367 2022/08/14 03:48:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:48:58 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 8.4030e-02 eta: 2 days, 7:34:13 time: 0.2828 data_time: 0.0168 memory: 6334 grad_norm: 2.3230 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0149 loss: 3.0149 2022/08/14 03:49:26 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 8.4030e-02 eta: 2 days, 7:33:45 time: 0.2820 data_time: 0.0185 memory: 6334 grad_norm: 2.3014 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4133 loss: 3.4133 2022/08/14 03:49:54 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 8.4030e-02 eta: 2 days, 7:33:17 time: 0.2837 data_time: 0.0189 memory: 6334 grad_norm: 2.4094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2675 loss: 3.2675 2022/08/14 03:50:23 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 8.4030e-02 eta: 2 days, 7:32:49 time: 0.2838 data_time: 0.0179 memory: 6334 grad_norm: 2.3234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2085 loss: 3.2085 2022/08/14 03:50:51 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 8.4030e-02 eta: 2 days, 7:32:21 time: 0.2850 data_time: 0.0194 memory: 6334 grad_norm: 2.3836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7557 loss: 2.7557 2022/08/14 03:51:20 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 8.4030e-02 eta: 2 days, 7:31:53 time: 0.2821 data_time: 0.0184 memory: 6334 grad_norm: 2.3188 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1429 loss: 3.1429 2022/08/14 03:51:48 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 8.4030e-02 eta: 2 days, 7:31:25 time: 0.2826 data_time: 0.0181 memory: 6334 grad_norm: 2.3999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0666 loss: 3.0666 2022/08/14 03:52:17 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 8.4030e-02 eta: 2 days, 7:30:57 time: 0.2820 data_time: 0.0177 memory: 6334 grad_norm: 2.3886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1327 loss: 3.1327 2022/08/14 03:52:45 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 8.4030e-02 eta: 2 days, 7:30:30 time: 0.2825 data_time: 0.0186 memory: 6334 grad_norm: 2.3282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3005 loss: 3.3005 2022/08/14 03:53:14 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 8.4030e-02 eta: 2 days, 7:30:02 time: 0.2857 data_time: 0.0176 memory: 6334 grad_norm: 2.3115 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9611 loss: 2.9611 2022/08/14 03:53:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:53:42 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 8.4030e-02 eta: 2 days, 7:29:34 time: 0.2843 data_time: 0.0202 memory: 6334 grad_norm: 2.3010 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9004 loss: 2.9004 2022/08/14 03:54:11 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 8.4030e-02 eta: 2 days, 7:29:06 time: 0.2889 data_time: 0.0187 memory: 6334 grad_norm: 2.2563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0396 loss: 3.0396 2022/08/14 03:54:39 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 8.4030e-02 eta: 2 days, 7:28:38 time: 0.2824 data_time: 0.0179 memory: 6334 grad_norm: 2.3469 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2926 loss: 3.2926 2022/08/14 03:55:08 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 8.4030e-02 eta: 2 days, 7:28:10 time: 0.2845 data_time: 0.0183 memory: 6334 grad_norm: 2.3194 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0434 loss: 3.0434 2022/08/14 03:55:36 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 8.4030e-02 eta: 2 days, 7:27:42 time: 0.2818 data_time: 0.0173 memory: 6334 grad_norm: 2.3021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/08/14 03:55:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:55:52 - mmengine - INFO - Epoch(train) [68][3757/3757] lr: 8.4030e-02 eta: 2 days, 7:27:31 time: 0.2648 data_time: 0.0153 memory: 6334 grad_norm: 2.3704 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.1908 loss: 3.1908 2022/08/14 03:55:52 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/14 03:56:25 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 8.3578e-02 eta: 2 days, 7:26:48 time: 0.2936 data_time: 0.0183 memory: 6334 grad_norm: 2.3774 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2469 loss: 3.2469 2022/08/14 03:56:53 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 8.3578e-02 eta: 2 days, 7:26:20 time: 0.2825 data_time: 0.0191 memory: 6334 grad_norm: 2.3653 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0225 loss: 3.0225 2022/08/14 03:57:22 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 8.3578e-02 eta: 2 days, 7:25:52 time: 0.2847 data_time: 0.0179 memory: 6334 grad_norm: 2.3654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8109 loss: 2.8109 2022/08/14 03:57:50 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 8.3578e-02 eta: 2 days, 7:25:24 time: 0.2837 data_time: 0.0187 memory: 6334 grad_norm: 2.3235 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1418 loss: 3.1418 2022/08/14 03:58:19 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 8.3578e-02 eta: 2 days, 7:24:57 time: 0.2832 data_time: 0.0181 memory: 6334 grad_norm: 2.3035 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5191 loss: 3.5191 2022/08/14 03:58:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 03:58:48 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 8.3578e-02 eta: 2 days, 7:24:29 time: 0.2825 data_time: 0.0178 memory: 6334 grad_norm: 2.4148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8045 loss: 2.8045 2022/08/14 03:59:16 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 8.3578e-02 eta: 2 days, 7:24:01 time: 0.2820 data_time: 0.0174 memory: 6334 grad_norm: 2.2867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2411 loss: 3.2411 2022/08/14 03:59:44 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 8.3578e-02 eta: 2 days, 7:23:33 time: 0.2831 data_time: 0.0183 memory: 6334 grad_norm: 2.3857 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0005 loss: 3.0005 2022/08/14 04:00:13 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 8.3578e-02 eta: 2 days, 7:23:05 time: 0.2839 data_time: 0.0182 memory: 6334 grad_norm: 2.3660 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2680 loss: 3.2680 2022/08/14 04:00:41 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 8.3578e-02 eta: 2 days, 7:22:37 time: 0.2831 data_time: 0.0186 memory: 6334 grad_norm: 2.3822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0116 loss: 3.0116 2022/08/14 04:01:10 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 8.3578e-02 eta: 2 days, 7:22:09 time: 0.2841 data_time: 0.0205 memory: 6334 grad_norm: 2.4052 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3299 loss: 3.3299 2022/08/14 04:01:38 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 8.3578e-02 eta: 2 days, 7:21:41 time: 0.2824 data_time: 0.0191 memory: 6334 grad_norm: 2.3299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1491 loss: 3.1491 2022/08/14 04:02:07 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 8.3578e-02 eta: 2 days, 7:21:13 time: 0.2829 data_time: 0.0186 memory: 6334 grad_norm: 2.3865 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1946 loss: 3.1946 2022/08/14 04:02:36 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 8.3578e-02 eta: 2 days, 7:20:46 time: 0.2911 data_time: 0.0191 memory: 6334 grad_norm: 2.4228 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1202 loss: 3.1202 2022/08/14 04:03:04 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 8.3578e-02 eta: 2 days, 7:20:19 time: 0.2857 data_time: 0.0195 memory: 6334 grad_norm: 2.3614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9808 loss: 2.9808 2022/08/14 04:03:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:03:33 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 8.3578e-02 eta: 2 days, 7:19:50 time: 0.2831 data_time: 0.0196 memory: 6334 grad_norm: 2.3669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0806 loss: 3.0806 2022/08/14 04:04:01 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 8.3578e-02 eta: 2 days, 7:19:22 time: 0.2824 data_time: 0.0179 memory: 6334 grad_norm: 2.3286 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2653 loss: 3.2653 2022/08/14 04:04:30 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 8.3578e-02 eta: 2 days, 7:18:55 time: 0.2824 data_time: 0.0182 memory: 6334 grad_norm: 2.3787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3726 loss: 3.3726 2022/08/14 04:04:58 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 8.3578e-02 eta: 2 days, 7:18:27 time: 0.2850 data_time: 0.0184 memory: 6334 grad_norm: 2.3427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5151 loss: 2.5151 2022/08/14 04:05:27 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 8.3578e-02 eta: 2 days, 7:17:59 time: 0.2850 data_time: 0.0188 memory: 6334 grad_norm: 2.3365 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3351 loss: 3.3351 2022/08/14 04:05:55 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 8.3578e-02 eta: 2 days, 7:17:31 time: 0.2827 data_time: 0.0196 memory: 6334 grad_norm: 2.3623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0679 loss: 3.0679 2022/08/14 04:06:24 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 8.3578e-02 eta: 2 days, 7:17:04 time: 0.2897 data_time: 0.0171 memory: 6334 grad_norm: 2.3624 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0658 loss: 3.0658 2022/08/14 04:06:52 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 8.3578e-02 eta: 2 days, 7:16:36 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.2609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0356 loss: 3.0356 2022/08/14 04:07:21 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 8.3578e-02 eta: 2 days, 7:16:08 time: 0.2834 data_time: 0.0188 memory: 6334 grad_norm: 2.3987 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9815 loss: 2.9815 2022/08/14 04:07:49 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 8.3578e-02 eta: 2 days, 7:15:40 time: 0.2844 data_time: 0.0180 memory: 6334 grad_norm: 2.3908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8220 loss: 2.8220 2022/08/14 04:07:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:08:18 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 8.3578e-02 eta: 2 days, 7:15:12 time: 0.2820 data_time: 0.0184 memory: 6334 grad_norm: 2.3795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9868 loss: 2.9868 2022/08/14 04:08:46 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 8.3578e-02 eta: 2 days, 7:14:45 time: 0.2836 data_time: 0.0181 memory: 6334 grad_norm: 2.3337 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3453 loss: 3.3453 2022/08/14 04:09:15 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 8.3578e-02 eta: 2 days, 7:14:16 time: 0.2829 data_time: 0.0183 memory: 6334 grad_norm: 2.3787 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3494 loss: 3.3494 2022/08/14 04:09:43 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 8.3578e-02 eta: 2 days, 7:13:48 time: 0.2809 data_time: 0.0184 memory: 6334 grad_norm: 2.3348 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0959 loss: 3.0959 2022/08/14 04:10:12 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 8.3578e-02 eta: 2 days, 7:13:21 time: 0.2881 data_time: 0.0211 memory: 6334 grad_norm: 2.3517 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2426 loss: 3.2426 2022/08/14 04:10:40 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 8.3578e-02 eta: 2 days, 7:12:53 time: 0.2830 data_time: 0.0176 memory: 6334 grad_norm: 2.3284 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1060 loss: 3.1060 2022/08/14 04:11:09 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 8.3578e-02 eta: 2 days, 7:12:25 time: 0.2830 data_time: 0.0181 memory: 6334 grad_norm: 2.3575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0192 loss: 3.0192 2022/08/14 04:11:37 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 8.3578e-02 eta: 2 days, 7:11:57 time: 0.2846 data_time: 0.0226 memory: 6334 grad_norm: 2.2646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9106 loss: 2.9106 2022/08/14 04:12:06 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 8.3578e-02 eta: 2 days, 7:11:29 time: 0.2859 data_time: 0.0193 memory: 6334 grad_norm: 2.4001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8753 loss: 2.8753 2022/08/14 04:12:34 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 8.3578e-02 eta: 2 days, 7:11:01 time: 0.2839 data_time: 0.0197 memory: 6334 grad_norm: 2.3963 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1975 loss: 3.1975 2022/08/14 04:12:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:13:03 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 8.3578e-02 eta: 2 days, 7:10:33 time: 0.2826 data_time: 0.0173 memory: 6334 grad_norm: 2.3695 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0912 loss: 3.0912 2022/08/14 04:13:31 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 8.3578e-02 eta: 2 days, 7:10:05 time: 0.2827 data_time: 0.0188 memory: 6334 grad_norm: 2.3809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1363 loss: 3.1363 2022/08/14 04:13:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:13:47 - mmengine - INFO - Epoch(train) [69][3757/3757] lr: 8.3578e-02 eta: 2 days, 7:09:54 time: 0.2624 data_time: 0.0156 memory: 6334 grad_norm: 2.3516 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.2141 loss: 3.2141 2022/08/14 04:14:17 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 8.3121e-02 eta: 2 days, 7:09:13 time: 0.2824 data_time: 0.0180 memory: 6334 grad_norm: 2.3425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0482 loss: 3.0482 2022/08/14 04:14:46 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 8.3121e-02 eta: 2 days, 7:08:46 time: 0.2852 data_time: 0.0179 memory: 6334 grad_norm: 2.2948 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9002 loss: 2.9002 2022/08/14 04:15:14 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 8.3121e-02 eta: 2 days, 7:08:18 time: 0.2820 data_time: 0.0180 memory: 6334 grad_norm: 2.3805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2302 loss: 3.2302 2022/08/14 04:15:43 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 8.3121e-02 eta: 2 days, 7:07:50 time: 0.2815 data_time: 0.0177 memory: 6334 grad_norm: 2.3474 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0339 loss: 3.0339 2022/08/14 04:16:11 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 8.3121e-02 eta: 2 days, 7:07:22 time: 0.2845 data_time: 0.0171 memory: 6334 grad_norm: 2.3709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0336 loss: 3.0336 2022/08/14 04:16:40 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 8.3121e-02 eta: 2 days, 7:06:54 time: 0.2829 data_time: 0.0180 memory: 6334 grad_norm: 2.4162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2214 loss: 3.2214 2022/08/14 04:17:09 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 8.3121e-02 eta: 2 days, 7:06:27 time: 0.2821 data_time: 0.0177 memory: 6334 grad_norm: 2.3759 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8439 loss: 2.8439 2022/08/14 04:17:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:17:37 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 8.3121e-02 eta: 2 days, 7:05:59 time: 0.2843 data_time: 0.0171 memory: 6334 grad_norm: 2.4443 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4026 loss: 3.4026 2022/08/14 04:18:06 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 8.3121e-02 eta: 2 days, 7:05:31 time: 0.2835 data_time: 0.0174 memory: 6334 grad_norm: 2.3450 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9602 loss: 2.9602 2022/08/14 04:18:34 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 8.3121e-02 eta: 2 days, 7:05:03 time: 0.2819 data_time: 0.0174 memory: 6334 grad_norm: 2.2920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0027 loss: 3.0027 2022/08/14 04:19:02 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 8.3121e-02 eta: 2 days, 7:04:34 time: 0.2827 data_time: 0.0176 memory: 6334 grad_norm: 2.3701 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0356 loss: 3.0356 2022/08/14 04:19:31 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 8.3121e-02 eta: 2 days, 7:04:07 time: 0.2814 data_time: 0.0179 memory: 6334 grad_norm: 2.3651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9405 loss: 2.9405 2022/08/14 04:20:00 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 8.3121e-02 eta: 2 days, 7:03:40 time: 0.2836 data_time: 0.0178 memory: 6334 grad_norm: 2.3788 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8482 loss: 2.8482 2022/08/14 04:20:29 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 8.3121e-02 eta: 2 days, 7:03:13 time: 0.2833 data_time: 0.0190 memory: 6334 grad_norm: 2.3768 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2739 loss: 3.2739 2022/08/14 04:20:57 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 8.3121e-02 eta: 2 days, 7:02:45 time: 0.2831 data_time: 0.0187 memory: 6334 grad_norm: 2.3737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2318 loss: 3.2318 2022/08/14 04:21:26 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 8.3121e-02 eta: 2 days, 7:02:17 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.4725 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2737 loss: 3.2737 2022/08/14 04:21:54 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 8.3121e-02 eta: 2 days, 7:01:49 time: 0.2856 data_time: 0.0185 memory: 6334 grad_norm: 2.2913 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9187 loss: 2.9187 2022/08/14 04:22:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:22:23 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 8.3121e-02 eta: 2 days, 7:01:21 time: 0.2823 data_time: 0.0172 memory: 6334 grad_norm: 2.3236 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1060 loss: 3.1060 2022/08/14 04:22:51 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 8.3121e-02 eta: 2 days, 7:00:54 time: 0.2826 data_time: 0.0181 memory: 6334 grad_norm: 2.3622 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1135 loss: 3.1135 2022/08/14 04:23:20 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 8.3121e-02 eta: 2 days, 7:00:26 time: 0.2837 data_time: 0.0183 memory: 6334 grad_norm: 2.3672 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3550 loss: 3.3550 2022/08/14 04:23:48 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 8.3121e-02 eta: 2 days, 6:59:58 time: 0.2835 data_time: 0.0176 memory: 6334 grad_norm: 2.3995 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1747 loss: 3.1747 2022/08/14 04:24:17 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 8.3121e-02 eta: 2 days, 6:59:30 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.3057 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2327 loss: 3.2327 2022/08/14 04:24:45 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 8.3121e-02 eta: 2 days, 6:59:02 time: 0.2849 data_time: 0.0178 memory: 6334 grad_norm: 2.3247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0415 loss: 3.0415 2022/08/14 04:25:14 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 8.3121e-02 eta: 2 days, 6:58:34 time: 0.2820 data_time: 0.0165 memory: 6334 grad_norm: 2.3754 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9256 loss: 2.9256 2022/08/14 04:25:42 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 8.3121e-02 eta: 2 days, 6:58:06 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.3235 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9164 loss: 2.9164 2022/08/14 04:26:11 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 8.3121e-02 eta: 2 days, 6:57:38 time: 0.2836 data_time: 0.0184 memory: 6334 grad_norm: 2.4267 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0981 loss: 3.0981 2022/08/14 04:26:39 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 8.3121e-02 eta: 2 days, 6:57:10 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.3325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4786 loss: 3.4786 2022/08/14 04:26:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:27:08 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 8.3121e-02 eta: 2 days, 6:56:43 time: 0.2894 data_time: 0.0182 memory: 6334 grad_norm: 2.3729 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1644 loss: 3.1644 2022/08/14 04:27:36 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 8.3121e-02 eta: 2 days, 6:56:15 time: 0.2822 data_time: 0.0175 memory: 6334 grad_norm: 2.3698 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2263 loss: 3.2263 2022/08/14 04:28:05 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 8.3121e-02 eta: 2 days, 6:55:47 time: 0.2855 data_time: 0.0186 memory: 6334 grad_norm: 2.3164 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0247 loss: 3.0247 2022/08/14 04:28:33 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 8.3121e-02 eta: 2 days, 6:55:19 time: 0.2814 data_time: 0.0175 memory: 6334 grad_norm: 2.3024 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3152 loss: 3.3152 2022/08/14 04:29:02 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 8.3121e-02 eta: 2 days, 6:54:51 time: 0.2843 data_time: 0.0188 memory: 6334 grad_norm: 2.3341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2110 loss: 3.2110 2022/08/14 04:29:30 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 8.3121e-02 eta: 2 days, 6:54:23 time: 0.2833 data_time: 0.0174 memory: 6334 grad_norm: 2.3171 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1892 loss: 3.1892 2022/08/14 04:29:59 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 8.3121e-02 eta: 2 days, 6:53:55 time: 0.2859 data_time: 0.0190 memory: 6334 grad_norm: 2.2735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8926 loss: 2.8926 2022/08/14 04:30:27 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 8.3121e-02 eta: 2 days, 6:53:27 time: 0.2829 data_time: 0.0189 memory: 6334 grad_norm: 2.3349 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0056 loss: 3.0056 2022/08/14 04:30:56 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 8.3121e-02 eta: 2 days, 6:52:59 time: 0.2847 data_time: 0.0189 memory: 6334 grad_norm: 2.3662 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7933 loss: 2.7933 2022/08/14 04:31:24 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 8.3121e-02 eta: 2 days, 6:52:31 time: 0.2814 data_time: 0.0174 memory: 6334 grad_norm: 2.3598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8763 loss: 2.8763 2022/08/14 04:31:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:31:40 - mmengine - INFO - Epoch(train) [70][3757/3757] lr: 8.3121e-02 eta: 2 days, 6:52:20 time: 0.2626 data_time: 0.0151 memory: 6334 grad_norm: 2.3326 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9851 loss: 2.9851 2022/08/14 04:32:02 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:00:42 time: 0.2033 data_time: 0.1067 memory: 1152 2022/08/14 04:32:23 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:00:22 time: 0.2068 data_time: 0.1097 memory: 1152 2022/08/14 04:32:44 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:02 time: 0.2103 data_time: 0.1105 memory: 1152 2022/08/14 04:32:48 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.3946 acc/top5: 0.6749 acc/mean1: 0.3946 2022/08/14 04:32:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_61.pth is removed 2022/08/14 04:32:51 - mmengine - INFO - The best checkpoint with 0.3946 acc/top1 at 71 epoch is saved to best_acc/top1_epoch_71.pth. 2022/08/14 04:32:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:33:21 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 8.2659e-02 eta: 2 days, 6:51:37 time: 0.2808 data_time: 0.0166 memory: 6334 grad_norm: 2.3604 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0550 loss: 3.0550 2022/08/14 04:33:49 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 8.2659e-02 eta: 2 days, 6:51:09 time: 0.2842 data_time: 0.0197 memory: 6334 grad_norm: 2.3718 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9561 loss: 2.9561 2022/08/14 04:34:17 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 8.2659e-02 eta: 2 days, 6:50:41 time: 0.2822 data_time: 0.0184 memory: 6334 grad_norm: 2.3060 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9511 loss: 2.9511 2022/08/14 04:34:46 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 8.2659e-02 eta: 2 days, 6:50:13 time: 0.2840 data_time: 0.0192 memory: 6334 grad_norm: 2.3247 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3728 loss: 3.3728 2022/08/14 04:35:14 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 8.2659e-02 eta: 2 days, 6:49:45 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.3686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9040 loss: 2.9040 2022/08/14 04:35:43 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 8.2659e-02 eta: 2 days, 6:49:17 time: 0.2814 data_time: 0.0168 memory: 6334 grad_norm: 2.3297 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9558 loss: 2.9558 2022/08/14 04:36:12 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 8.2659e-02 eta: 2 days, 6:48:50 time: 0.2903 data_time: 0.0179 memory: 6334 grad_norm: 2.3449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0057 loss: 3.0057 2022/08/14 04:36:40 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 8.2659e-02 eta: 2 days, 6:48:22 time: 0.2827 data_time: 0.0177 memory: 6334 grad_norm: 2.3257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9892 loss: 2.9892 2022/08/14 04:37:08 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 8.2659e-02 eta: 2 days, 6:47:53 time: 0.2844 data_time: 0.0177 memory: 6334 grad_norm: 2.4878 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2414 loss: 3.2414 2022/08/14 04:37:37 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 8.2659e-02 eta: 2 days, 6:47:26 time: 0.2838 data_time: 0.0189 memory: 6334 grad_norm: 2.3915 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9003 loss: 2.9003 2022/08/14 04:37:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:38:05 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 8.2659e-02 eta: 2 days, 6:46:58 time: 0.2854 data_time: 0.0187 memory: 6334 grad_norm: 2.3382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9949 loss: 2.9949 2022/08/14 04:38:34 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 8.2659e-02 eta: 2 days, 6:46:30 time: 0.2819 data_time: 0.0177 memory: 6334 grad_norm: 2.3576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2883 loss: 3.2883 2022/08/14 04:39:02 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 8.2659e-02 eta: 2 days, 6:46:02 time: 0.2812 data_time: 0.0179 memory: 6334 grad_norm: 2.3870 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9559 loss: 2.9559 2022/08/14 04:39:31 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 8.2659e-02 eta: 2 days, 6:45:34 time: 0.2825 data_time: 0.0185 memory: 6334 grad_norm: 2.3077 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0715 loss: 3.0715 2022/08/14 04:39:59 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 8.2659e-02 eta: 2 days, 6:45:06 time: 0.2844 data_time: 0.0182 memory: 6334 grad_norm: 2.4453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1057 loss: 3.1057 2022/08/14 04:40:28 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 8.2659e-02 eta: 2 days, 6:44:38 time: 0.2839 data_time: 0.0192 memory: 6334 grad_norm: 2.3501 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0304 loss: 3.0304 2022/08/14 04:40:56 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 8.2659e-02 eta: 2 days, 6:44:10 time: 0.2872 data_time: 0.0194 memory: 6334 grad_norm: 2.3516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0190 loss: 3.0190 2022/08/14 04:41:25 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 8.2659e-02 eta: 2 days, 6:43:42 time: 0.2847 data_time: 0.0175 memory: 6334 grad_norm: 2.4268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0199 loss: 3.0199 2022/08/14 04:41:53 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 8.2659e-02 eta: 2 days, 6:43:15 time: 0.2809 data_time: 0.0184 memory: 6334 grad_norm: 2.3141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2174 loss: 3.2174 2022/08/14 04:42:22 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 8.2659e-02 eta: 2 days, 6:42:47 time: 0.2830 data_time: 0.0186 memory: 6334 grad_norm: 2.4169 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1574 loss: 3.1574 2022/08/14 04:42:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:42:50 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 8.2659e-02 eta: 2 days, 6:42:18 time: 0.2842 data_time: 0.0183 memory: 6334 grad_norm: 2.3607 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2140 loss: 3.2140 2022/08/14 04:43:19 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 8.2659e-02 eta: 2 days, 6:41:51 time: 0.2857 data_time: 0.0188 memory: 6334 grad_norm: 2.3411 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0273 loss: 3.0273 2022/08/14 04:43:47 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 8.2659e-02 eta: 2 days, 6:41:23 time: 0.2828 data_time: 0.0195 memory: 6334 grad_norm: 2.3408 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8995 loss: 2.8995 2022/08/14 04:44:16 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 8.2659e-02 eta: 2 days, 6:40:55 time: 0.2803 data_time: 0.0167 memory: 6334 grad_norm: 2.4008 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2222 loss: 3.2222 2022/08/14 04:44:44 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 8.2659e-02 eta: 2 days, 6:40:27 time: 0.2812 data_time: 0.0182 memory: 6334 grad_norm: 2.4143 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2108 loss: 3.2108 2022/08/14 04:45:13 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 8.2659e-02 eta: 2 days, 6:39:59 time: 0.2825 data_time: 0.0178 memory: 6334 grad_norm: 2.3427 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1746 loss: 3.1746 2022/08/14 04:45:41 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 8.2659e-02 eta: 2 days, 6:39:31 time: 0.2832 data_time: 0.0170 memory: 6334 grad_norm: 2.3911 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7530 loss: 2.7530 2022/08/14 04:46:10 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 8.2659e-02 eta: 2 days, 6:39:03 time: 0.2836 data_time: 0.0188 memory: 6334 grad_norm: 2.3916 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1211 loss: 3.1211 2022/08/14 04:46:38 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 8.2659e-02 eta: 2 days, 6:38:35 time: 0.2864 data_time: 0.0189 memory: 6334 grad_norm: 2.3111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2930 loss: 3.2930 2022/08/14 04:47:07 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 8.2659e-02 eta: 2 days, 6:38:07 time: 0.2807 data_time: 0.0177 memory: 6334 grad_norm: 2.4060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0713 loss: 3.0713 2022/08/14 04:47:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:47:35 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 8.2659e-02 eta: 2 days, 6:37:39 time: 0.2828 data_time: 0.0169 memory: 6334 grad_norm: 2.4626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2140 loss: 3.2140 2022/08/14 04:48:04 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 8.2659e-02 eta: 2 days, 6:37:11 time: 0.2821 data_time: 0.0180 memory: 6334 grad_norm: 2.4165 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8823 loss: 2.8823 2022/08/14 04:48:32 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 8.2659e-02 eta: 2 days, 6:36:44 time: 0.2836 data_time: 0.0180 memory: 6334 grad_norm: 2.2711 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8730 loss: 2.8730 2022/08/14 04:49:01 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 8.2659e-02 eta: 2 days, 6:36:16 time: 0.2912 data_time: 0.0225 memory: 6334 grad_norm: 2.3307 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3332 loss: 3.3332 2022/08/14 04:49:29 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 8.2659e-02 eta: 2 days, 6:35:48 time: 0.2832 data_time: 0.0179 memory: 6334 grad_norm: 2.3030 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0488 loss: 3.0488 2022/08/14 04:49:58 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 8.2659e-02 eta: 2 days, 6:35:21 time: 0.2903 data_time: 0.0196 memory: 6334 grad_norm: 2.3744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5639 loss: 3.5639 2022/08/14 04:50:27 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 8.2659e-02 eta: 2 days, 6:34:53 time: 0.2840 data_time: 0.0176 memory: 6334 grad_norm: 2.3181 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1784 loss: 3.1784 2022/08/14 04:50:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:50:43 - mmengine - INFO - Epoch(train) [71][3757/3757] lr: 8.2659e-02 eta: 2 days, 6:34:42 time: 0.2646 data_time: 0.0155 memory: 6334 grad_norm: 2.3810 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 2.9622 loss: 2.9622 2022/08/14 04:51:13 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 8.2192e-02 eta: 2 days, 6:34:02 time: 0.2829 data_time: 0.0194 memory: 6334 grad_norm: 2.2787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9515 loss: 2.9515 2022/08/14 04:51:42 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 8.2192e-02 eta: 2 days, 6:33:35 time: 0.2836 data_time: 0.0173 memory: 6334 grad_norm: 2.3202 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2572 loss: 3.2572 2022/08/14 04:51:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:52:10 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 8.2192e-02 eta: 2 days, 6:33:07 time: 0.2831 data_time: 0.0183 memory: 6334 grad_norm: 2.4370 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9312 loss: 2.9312 2022/08/14 04:52:39 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 8.2192e-02 eta: 2 days, 6:32:39 time: 0.2866 data_time: 0.0191 memory: 6334 grad_norm: 2.3489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0763 loss: 3.0763 2022/08/14 04:53:07 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 8.2192e-02 eta: 2 days, 6:32:12 time: 0.2827 data_time: 0.0176 memory: 6334 grad_norm: 2.3739 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0485 loss: 3.0485 2022/08/14 04:53:36 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 8.2192e-02 eta: 2 days, 6:31:44 time: 0.2835 data_time: 0.0171 memory: 6334 grad_norm: 2.4118 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8113 loss: 2.8113 2022/08/14 04:54:05 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 8.2192e-02 eta: 2 days, 6:31:16 time: 0.2833 data_time: 0.0171 memory: 6334 grad_norm: 2.3343 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1645 loss: 3.1645 2022/08/14 04:54:33 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 8.2192e-02 eta: 2 days, 6:30:48 time: 0.2836 data_time: 0.0182 memory: 6334 grad_norm: 2.4149 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1533 loss: 3.1533 2022/08/14 04:55:02 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 8.2192e-02 eta: 2 days, 6:30:20 time: 0.2850 data_time: 0.0182 memory: 6334 grad_norm: 2.3504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1463 loss: 3.1463 2022/08/14 04:55:30 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 8.2192e-02 eta: 2 days, 6:29:52 time: 0.2827 data_time: 0.0185 memory: 6334 grad_norm: 2.4479 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4932 loss: 3.4932 2022/08/14 04:55:59 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 8.2192e-02 eta: 2 days, 6:29:24 time: 0.2862 data_time: 0.0182 memory: 6334 grad_norm: 2.4145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1034 loss: 3.1034 2022/08/14 04:56:27 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 8.2192e-02 eta: 2 days, 6:28:57 time: 0.2822 data_time: 0.0179 memory: 6334 grad_norm: 2.4006 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2441 loss: 3.2441 2022/08/14 04:56:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 04:56:56 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 8.2192e-02 eta: 2 days, 6:28:29 time: 0.2825 data_time: 0.0169 memory: 6334 grad_norm: 2.3172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1526 loss: 3.1526 2022/08/14 04:57:24 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 8.2192e-02 eta: 2 days, 6:28:01 time: 0.2810 data_time: 0.0180 memory: 6334 grad_norm: 2.4672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0102 loss: 3.0102 2022/08/14 04:57:53 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 8.2192e-02 eta: 2 days, 6:27:33 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.3077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2472 loss: 3.2472 2022/08/14 04:58:21 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 8.2192e-02 eta: 2 days, 6:27:05 time: 0.2831 data_time: 0.0187 memory: 6334 grad_norm: 2.3719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2098 loss: 3.2098 2022/08/14 04:58:50 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 8.2192e-02 eta: 2 days, 6:26:37 time: 0.2839 data_time: 0.0220 memory: 6334 grad_norm: 2.3699 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0728 loss: 3.0728 2022/08/14 04:59:18 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 8.2192e-02 eta: 2 days, 6:26:09 time: 0.2831 data_time: 0.0180 memory: 6334 grad_norm: 2.3815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3563 loss: 3.3563 2022/08/14 04:59:47 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 8.2192e-02 eta: 2 days, 6:25:41 time: 0.2833 data_time: 0.0177 memory: 6334 grad_norm: 2.3869 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1619 loss: 3.1619 2022/08/14 05:00:15 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 8.2192e-02 eta: 2 days, 6:25:13 time: 0.2814 data_time: 0.0172 memory: 6334 grad_norm: 2.4115 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3000 loss: 3.3000 2022/08/14 05:00:43 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 8.2192e-02 eta: 2 days, 6:24:45 time: 0.2816 data_time: 0.0178 memory: 6334 grad_norm: 2.3444 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7744 loss: 2.7744 2022/08/14 05:01:12 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 8.2192e-02 eta: 2 days, 6:24:17 time: 0.2857 data_time: 0.0186 memory: 6334 grad_norm: 2.3755 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2239 loss: 3.2239 2022/08/14 05:01:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:01:40 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 8.2192e-02 eta: 2 days, 6:23:49 time: 0.2847 data_time: 0.0185 memory: 6334 grad_norm: 2.4540 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9349 loss: 2.9349 2022/08/14 05:02:09 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 8.2192e-02 eta: 2 days, 6:23:21 time: 0.2867 data_time: 0.0191 memory: 6334 grad_norm: 2.3285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0684 loss: 3.0684 2022/08/14 05:02:37 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 8.2192e-02 eta: 2 days, 6:22:53 time: 0.2831 data_time: 0.0172 memory: 6334 grad_norm: 2.3713 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9820 loss: 2.9820 2022/08/14 05:03:06 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 8.2192e-02 eta: 2 days, 6:22:25 time: 0.2820 data_time: 0.0180 memory: 6334 grad_norm: 2.3630 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9912 loss: 2.9912 2022/08/14 05:03:34 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 8.2192e-02 eta: 2 days, 6:21:57 time: 0.2815 data_time: 0.0181 memory: 6334 grad_norm: 2.4935 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1781 loss: 3.1781 2022/08/14 05:04:03 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 8.2192e-02 eta: 2 days, 6:21:30 time: 0.2814 data_time: 0.0173 memory: 6334 grad_norm: 2.3142 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1721 loss: 3.1721 2022/08/14 05:04:32 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 8.2192e-02 eta: 2 days, 6:21:02 time: 0.2853 data_time: 0.0175 memory: 6334 grad_norm: 2.3512 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0301 loss: 3.0301 2022/08/14 05:05:00 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 8.2192e-02 eta: 2 days, 6:20:34 time: 0.2803 data_time: 0.0173 memory: 6334 grad_norm: 2.3247 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9613 loss: 2.9613 2022/08/14 05:05:28 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 8.2192e-02 eta: 2 days, 6:20:06 time: 0.2831 data_time: 0.0182 memory: 6334 grad_norm: 2.3936 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1124 loss: 3.1124 2022/08/14 05:05:57 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 8.2192e-02 eta: 2 days, 6:19:38 time: 0.2826 data_time: 0.0175 memory: 6334 grad_norm: 2.3875 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1950 loss: 3.1950 2022/08/14 05:06:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:06:26 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 8.2192e-02 eta: 2 days, 6:19:10 time: 0.2843 data_time: 0.0185 memory: 6334 grad_norm: 2.2902 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1465 loss: 3.1465 2022/08/14 05:06:54 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 8.2192e-02 eta: 2 days, 6:18:43 time: 0.2848 data_time: 0.0188 memory: 6334 grad_norm: 2.3892 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0014 loss: 3.0014 2022/08/14 05:07:23 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 8.2192e-02 eta: 2 days, 6:18:15 time: 0.2817 data_time: 0.0178 memory: 6334 grad_norm: 2.4049 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0291 loss: 3.0291 2022/08/14 05:07:51 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 8.2192e-02 eta: 2 days, 6:17:47 time: 0.2860 data_time: 0.0182 memory: 6334 grad_norm: 2.5279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1540 loss: 3.1540 2022/08/14 05:08:20 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 8.2192e-02 eta: 2 days, 6:17:19 time: 0.2818 data_time: 0.0181 memory: 6334 grad_norm: 2.4111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3345 loss: 3.3345 2022/08/14 05:08:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:08:35 - mmengine - INFO - Epoch(train) [72][3757/3757] lr: 8.2192e-02 eta: 2 days, 6:17:08 time: 0.2622 data_time: 0.0157 memory: 6334 grad_norm: 2.3561 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.9864 loss: 2.9864 2022/08/14 05:08:36 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/14 05:09:08 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 8.1720e-02 eta: 2 days, 6:16:25 time: 0.2845 data_time: 0.0181 memory: 6334 grad_norm: 2.3838 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7758 loss: 2.7758 2022/08/14 05:09:37 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 8.1720e-02 eta: 2 days, 6:15:58 time: 0.2839 data_time: 0.0186 memory: 6334 grad_norm: 2.3915 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0082 loss: 3.0082 2022/08/14 05:10:05 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 8.1720e-02 eta: 2 days, 6:15:30 time: 0.2806 data_time: 0.0176 memory: 6334 grad_norm: 2.4292 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2207 loss: 3.2207 2022/08/14 05:10:34 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 8.1720e-02 eta: 2 days, 6:15:02 time: 0.2826 data_time: 0.0180 memory: 6334 grad_norm: 2.4199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8691 loss: 2.8691 2022/08/14 05:11:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:11:02 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 8.1720e-02 eta: 2 days, 6:14:34 time: 0.2843 data_time: 0.0182 memory: 6334 grad_norm: 2.3365 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2012 loss: 3.2012 2022/08/14 05:11:31 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 8.1720e-02 eta: 2 days, 6:14:06 time: 0.2848 data_time: 0.0180 memory: 6334 grad_norm: 2.4211 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0707 loss: 3.0707 2022/08/14 05:12:00 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 8.1720e-02 eta: 2 days, 6:13:38 time: 0.2830 data_time: 0.0206 memory: 6334 grad_norm: 2.4567 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1749 loss: 3.1749 2022/08/14 05:12:28 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 8.1720e-02 eta: 2 days, 6:13:11 time: 0.2843 data_time: 0.0182 memory: 6334 grad_norm: 2.3702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9634 loss: 2.9634 2022/08/14 05:12:57 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 8.1720e-02 eta: 2 days, 6:12:43 time: 0.2829 data_time: 0.0185 memory: 6334 grad_norm: 2.3863 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0200 loss: 3.0200 2022/08/14 05:13:25 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 8.1720e-02 eta: 2 days, 6:12:15 time: 0.2846 data_time: 0.0177 memory: 6334 grad_norm: 2.3666 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0730 loss: 3.0730 2022/08/14 05:13:54 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 8.1720e-02 eta: 2 days, 6:11:47 time: 0.2840 data_time: 0.0183 memory: 6334 grad_norm: 2.3766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3163 loss: 3.3163 2022/08/14 05:14:22 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 8.1720e-02 eta: 2 days, 6:11:19 time: 0.2810 data_time: 0.0174 memory: 6334 grad_norm: 2.3358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0126 loss: 3.0126 2022/08/14 05:14:51 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 8.1720e-02 eta: 2 days, 6:10:51 time: 0.2879 data_time: 0.0177 memory: 6334 grad_norm: 2.3832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8767 loss: 2.8767 2022/08/14 05:15:19 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 8.1720e-02 eta: 2 days, 6:10:23 time: 0.2846 data_time: 0.0190 memory: 6334 grad_norm: 2.3550 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9474 loss: 2.9474 2022/08/14 05:15:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:15:48 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 8.1720e-02 eta: 2 days, 6:09:55 time: 0.2815 data_time: 0.0200 memory: 6334 grad_norm: 2.3521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2358 loss: 3.2358 2022/08/14 05:16:16 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 8.1720e-02 eta: 2 days, 6:09:28 time: 0.2832 data_time: 0.0182 memory: 6334 grad_norm: 2.3824 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0755 loss: 3.0755 2022/08/14 05:16:45 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 8.1720e-02 eta: 2 days, 6:09:00 time: 0.2837 data_time: 0.0176 memory: 6334 grad_norm: 2.3854 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0536 loss: 3.0536 2022/08/14 05:17:13 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 8.1720e-02 eta: 2 days, 6:08:32 time: 0.2839 data_time: 0.0197 memory: 6334 grad_norm: 2.3296 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3440 loss: 3.3440 2022/08/14 05:17:42 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 8.1720e-02 eta: 2 days, 6:08:05 time: 0.2939 data_time: 0.0173 memory: 6334 grad_norm: 2.4193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9539 loss: 2.9539 2022/08/14 05:18:11 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 8.1720e-02 eta: 2 days, 6:07:37 time: 0.2839 data_time: 0.0183 memory: 6334 grad_norm: 2.3490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1037 loss: 3.1037 2022/08/14 05:18:39 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 8.1720e-02 eta: 2 days, 6:07:10 time: 0.2845 data_time: 0.0191 memory: 6334 grad_norm: 2.4894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3821 loss: 3.3821 2022/08/14 05:19:08 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 8.1720e-02 eta: 2 days, 6:06:42 time: 0.2839 data_time: 0.0184 memory: 6334 grad_norm: 2.3560 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8069 loss: 2.8069 2022/08/14 05:19:36 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 8.1720e-02 eta: 2 days, 6:06:14 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.3940 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8774 loss: 2.8774 2022/08/14 05:20:05 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 8.1720e-02 eta: 2 days, 6:05:46 time: 0.2852 data_time: 0.0199 memory: 6334 grad_norm: 2.3200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8281 loss: 2.8281 2022/08/14 05:20:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:20:33 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 8.1720e-02 eta: 2 days, 6:05:18 time: 0.2851 data_time: 0.0199 memory: 6334 grad_norm: 2.3428 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9978 loss: 2.9978 2022/08/14 05:21:02 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 8.1720e-02 eta: 2 days, 6:04:50 time: 0.2839 data_time: 0.0192 memory: 6334 grad_norm: 2.3530 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1141 loss: 3.1141 2022/08/14 05:21:30 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 8.1720e-02 eta: 2 days, 6:04:22 time: 0.2847 data_time: 0.0183 memory: 6334 grad_norm: 2.3522 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8859 loss: 2.8859 2022/08/14 05:21:59 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 8.1720e-02 eta: 2 days, 6:03:54 time: 0.2812 data_time: 0.0179 memory: 6334 grad_norm: 2.3569 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0117 loss: 3.0117 2022/08/14 05:22:27 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 8.1720e-02 eta: 2 days, 6:03:26 time: 0.2823 data_time: 0.0172 memory: 6334 grad_norm: 2.4157 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7441 loss: 2.7441 2022/08/14 05:22:56 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 8.1720e-02 eta: 2 days, 6:02:58 time: 0.2826 data_time: 0.0169 memory: 6334 grad_norm: 2.3940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2470 loss: 3.2470 2022/08/14 05:23:24 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 8.1720e-02 eta: 2 days, 6:02:31 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.3787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0439 loss: 3.0439 2022/08/14 05:23:53 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 8.1720e-02 eta: 2 days, 6:02:03 time: 0.2836 data_time: 0.0177 memory: 6334 grad_norm: 2.4226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1793 loss: 3.1793 2022/08/14 05:24:22 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 8.1720e-02 eta: 2 days, 6:01:35 time: 0.2831 data_time: 0.0184 memory: 6334 grad_norm: 2.4266 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2353 loss: 3.2353 2022/08/14 05:24:50 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 8.1720e-02 eta: 2 days, 6:01:08 time: 0.2840 data_time: 0.0193 memory: 6334 grad_norm: 2.4132 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1426 loss: 3.1426 2022/08/14 05:25:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:25:19 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 8.1720e-02 eta: 2 days, 6:00:40 time: 0.2829 data_time: 0.0174 memory: 6334 grad_norm: 2.3777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0137 loss: 3.0137 2022/08/14 05:25:47 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 8.1720e-02 eta: 2 days, 6:00:12 time: 0.2825 data_time: 0.0168 memory: 6334 grad_norm: 2.4925 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0595 loss: 3.0595 2022/08/14 05:26:16 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 8.1720e-02 eta: 2 days, 5:59:44 time: 0.2816 data_time: 0.0176 memory: 6334 grad_norm: 2.3580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0360 loss: 3.0360 2022/08/14 05:26:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:26:32 - mmengine - INFO - Epoch(train) [73][3757/3757] lr: 8.1720e-02 eta: 2 days, 5:59:33 time: 0.2658 data_time: 0.0170 memory: 6334 grad_norm: 2.3513 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0559 loss: 3.0559 2022/08/14 05:27:03 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 8.1243e-02 eta: 2 days, 5:58:54 time: 0.2820 data_time: 0.0178 memory: 6334 grad_norm: 2.3592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8211 loss: 2.8211 2022/08/14 05:27:31 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 8.1243e-02 eta: 2 days, 5:58:27 time: 0.2860 data_time: 0.0176 memory: 6334 grad_norm: 2.3633 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2253 loss: 3.2253 2022/08/14 05:28:00 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 8.1243e-02 eta: 2 days, 5:57:59 time: 0.2837 data_time: 0.0182 memory: 6334 grad_norm: 2.4085 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0392 loss: 3.0392 2022/08/14 05:28:28 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 8.1243e-02 eta: 2 days, 5:57:31 time: 0.2814 data_time: 0.0184 memory: 6334 grad_norm: 2.4142 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1354 loss: 3.1354 2022/08/14 05:28:57 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 8.1243e-02 eta: 2 days, 5:57:03 time: 0.2826 data_time: 0.0176 memory: 6334 grad_norm: 2.3874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3581 loss: 3.3581 2022/08/14 05:29:25 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 8.1243e-02 eta: 2 days, 5:56:35 time: 0.2852 data_time: 0.0180 memory: 6334 grad_norm: 2.3381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7754 loss: 2.7754 2022/08/14 05:29:54 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 8.1243e-02 eta: 2 days, 5:56:07 time: 0.2853 data_time: 0.0191 memory: 6334 grad_norm: 2.4251 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8250 loss: 2.8250 2022/08/14 05:30:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:30:23 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 8.1243e-02 eta: 2 days, 5:55:40 time: 0.2847 data_time: 0.0192 memory: 6334 grad_norm: 2.4665 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9477 loss: 2.9477 2022/08/14 05:30:51 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 8.1243e-02 eta: 2 days, 5:55:13 time: 0.2829 data_time: 0.0184 memory: 6334 grad_norm: 2.4373 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1387 loss: 3.1387 2022/08/14 05:31:20 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 8.1243e-02 eta: 2 days, 5:54:45 time: 0.2823 data_time: 0.0188 memory: 6334 grad_norm: 2.3278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1777 loss: 3.1777 2022/08/14 05:31:49 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 8.1243e-02 eta: 2 days, 5:54:17 time: 0.2822 data_time: 0.0179 memory: 6334 grad_norm: 2.4065 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2123 loss: 3.2123 2022/08/14 05:32:17 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 8.1243e-02 eta: 2 days, 5:53:49 time: 0.2829 data_time: 0.0184 memory: 6334 grad_norm: 2.4156 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0541 loss: 3.0541 2022/08/14 05:32:46 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 8.1243e-02 eta: 2 days, 5:53:22 time: 0.2828 data_time: 0.0188 memory: 6334 grad_norm: 2.3515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0343 loss: 3.0343 2022/08/14 05:33:14 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 8.1243e-02 eta: 2 days, 5:52:54 time: 0.2834 data_time: 0.0170 memory: 6334 grad_norm: 2.4215 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0122 loss: 3.0122 2022/08/14 05:33:43 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 8.1243e-02 eta: 2 days, 5:52:26 time: 0.2829 data_time: 0.0190 memory: 6334 grad_norm: 2.3821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2164 loss: 3.2164 2022/08/14 05:34:11 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 8.1243e-02 eta: 2 days, 5:51:58 time: 0.2843 data_time: 0.0190 memory: 6334 grad_norm: 2.4047 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4570 loss: 3.4570 2022/08/14 05:34:40 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 8.1243e-02 eta: 2 days, 5:51:30 time: 0.2816 data_time: 0.0178 memory: 6334 grad_norm: 2.3568 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0461 loss: 3.0461 2022/08/14 05:34:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:35:08 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 8.1243e-02 eta: 2 days, 5:51:02 time: 0.2850 data_time: 0.0189 memory: 6334 grad_norm: 2.3395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9874 loss: 2.9874 2022/08/14 05:35:37 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 8.1243e-02 eta: 2 days, 5:50:34 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.4306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0830 loss: 3.0830 2022/08/14 05:36:05 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 8.1243e-02 eta: 2 days, 5:50:07 time: 0.2840 data_time: 0.0181 memory: 6334 grad_norm: 2.4243 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2664 loss: 3.2664 2022/08/14 05:36:34 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 8.1243e-02 eta: 2 days, 5:49:39 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.3611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9873 loss: 2.9873 2022/08/14 05:37:02 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 8.1243e-02 eta: 2 days, 5:49:11 time: 0.2835 data_time: 0.0175 memory: 6334 grad_norm: 2.3646 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2842 loss: 3.2842 2022/08/14 05:37:31 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 8.1243e-02 eta: 2 days, 5:48:43 time: 0.2842 data_time: 0.0184 memory: 6334 grad_norm: 2.3736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2879 loss: 3.2879 2022/08/14 05:37:59 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 8.1243e-02 eta: 2 days, 5:48:15 time: 0.2837 data_time: 0.0175 memory: 6334 grad_norm: 2.3832 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3048 loss: 3.3048 2022/08/14 05:38:28 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 8.1243e-02 eta: 2 days, 5:47:47 time: 0.2827 data_time: 0.0187 memory: 6334 grad_norm: 2.3940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0611 loss: 3.0611 2022/08/14 05:38:56 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 8.1243e-02 eta: 2 days, 5:47:19 time: 0.2833 data_time: 0.0172 memory: 6334 grad_norm: 2.3221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1686 loss: 3.1686 2022/08/14 05:39:25 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 8.1243e-02 eta: 2 days, 5:46:51 time: 0.2845 data_time: 0.0199 memory: 6334 grad_norm: 2.4631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1394 loss: 3.1394 2022/08/14 05:39:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:39:53 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 8.1243e-02 eta: 2 days, 5:46:23 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.3948 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2990 loss: 3.2990 2022/08/14 05:40:22 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 8.1243e-02 eta: 2 days, 5:45:55 time: 0.2832 data_time: 0.0196 memory: 6334 grad_norm: 2.3184 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2153 loss: 3.2153 2022/08/14 05:40:50 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 8.1243e-02 eta: 2 days, 5:45:27 time: 0.2840 data_time: 0.0193 memory: 6334 grad_norm: 2.3899 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2504 loss: 3.2504 2022/08/14 05:41:19 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 8.1243e-02 eta: 2 days, 5:44:59 time: 0.2820 data_time: 0.0182 memory: 6334 grad_norm: 2.4276 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2749 loss: 3.2749 2022/08/14 05:41:47 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 8.1243e-02 eta: 2 days, 5:44:31 time: 0.2839 data_time: 0.0181 memory: 6334 grad_norm: 2.3753 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9875 loss: 2.9875 2022/08/14 05:42:16 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 8.1243e-02 eta: 2 days, 5:44:03 time: 0.2836 data_time: 0.0175 memory: 6334 grad_norm: 2.4189 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0521 loss: 3.0521 2022/08/14 05:42:44 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 8.1243e-02 eta: 2 days, 5:43:35 time: 0.2833 data_time: 0.0198 memory: 6334 grad_norm: 2.3973 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8748 loss: 2.8748 2022/08/14 05:43:13 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 8.1243e-02 eta: 2 days, 5:43:08 time: 0.2830 data_time: 0.0183 memory: 6334 grad_norm: 2.4498 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0249 loss: 3.0249 2022/08/14 05:43:41 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 8.1243e-02 eta: 2 days, 5:42:40 time: 0.2837 data_time: 0.0174 memory: 6334 grad_norm: 2.3654 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0955 loss: 3.0955 2022/08/14 05:44:10 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 8.1243e-02 eta: 2 days, 5:42:12 time: 0.2831 data_time: 0.0178 memory: 6334 grad_norm: 2.3675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8248 loss: 2.8248 2022/08/14 05:44:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:44:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:44:26 - mmengine - INFO - Epoch(train) [74][3757/3757] lr: 8.1243e-02 eta: 2 days, 5:42:00 time: 0.2644 data_time: 0.0162 memory: 6334 grad_norm: 2.3692 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.2751 loss: 3.2751 2022/08/14 05:44:56 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 8.0762e-02 eta: 2 days, 5:41:21 time: 0.2834 data_time: 0.0183 memory: 6334 grad_norm: 2.4678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9109 loss: 2.9109 2022/08/14 05:45:25 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 8.0762e-02 eta: 2 days, 5:40:53 time: 0.2887 data_time: 0.0174 memory: 6334 grad_norm: 2.3773 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3935 loss: 3.3935 2022/08/14 05:45:53 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 8.0762e-02 eta: 2 days, 5:40:25 time: 0.2835 data_time: 0.0178 memory: 6334 grad_norm: 2.4148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8188 loss: 2.8188 2022/08/14 05:46:22 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 8.0762e-02 eta: 2 days, 5:39:57 time: 0.2861 data_time: 0.0196 memory: 6334 grad_norm: 2.3902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8884 loss: 2.8884 2022/08/14 05:46:50 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 8.0762e-02 eta: 2 days, 5:39:29 time: 0.2832 data_time: 0.0187 memory: 6334 grad_norm: 2.3488 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0173 loss: 3.0173 2022/08/14 05:47:19 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 8.0762e-02 eta: 2 days, 5:39:01 time: 0.2818 data_time: 0.0173 memory: 6334 grad_norm: 2.3586 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1218 loss: 3.1218 2022/08/14 05:47:47 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 8.0762e-02 eta: 2 days, 5:38:33 time: 0.2814 data_time: 0.0175 memory: 6334 grad_norm: 2.4217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9897 loss: 2.9897 2022/08/14 05:48:16 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 8.0762e-02 eta: 2 days, 5:38:05 time: 0.2872 data_time: 0.0197 memory: 6334 grad_norm: 2.3824 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1318 loss: 3.1318 2022/08/14 05:48:44 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 8.0762e-02 eta: 2 days, 5:37:38 time: 0.2823 data_time: 0.0184 memory: 6334 grad_norm: 2.3379 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0259 loss: 3.0259 2022/08/14 05:49:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:49:13 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 8.0762e-02 eta: 2 days, 5:37:10 time: 0.2833 data_time: 0.0193 memory: 6334 grad_norm: 2.3535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8357 loss: 2.8357 2022/08/14 05:49:41 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 8.0762e-02 eta: 2 days, 5:36:41 time: 0.2830 data_time: 0.0177 memory: 6334 grad_norm: 2.3754 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0211 loss: 3.0211 2022/08/14 05:50:10 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 8.0762e-02 eta: 2 days, 5:36:14 time: 0.2821 data_time: 0.0173 memory: 6334 grad_norm: 2.3560 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0343 loss: 3.0343 2022/08/14 05:50:38 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 8.0762e-02 eta: 2 days, 5:35:46 time: 0.2821 data_time: 0.0182 memory: 6334 grad_norm: 2.3641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1090 loss: 3.1090 2022/08/14 05:51:07 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 8.0762e-02 eta: 2 days, 5:35:18 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.4009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0930 loss: 3.0930 2022/08/14 05:51:35 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 8.0762e-02 eta: 2 days, 5:34:50 time: 0.2861 data_time: 0.0192 memory: 6334 grad_norm: 2.4216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1960 loss: 3.1960 2022/08/14 05:52:04 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 8.0762e-02 eta: 2 days, 5:34:22 time: 0.2837 data_time: 0.0178 memory: 6334 grad_norm: 2.3898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0824 loss: 3.0824 2022/08/14 05:52:32 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 8.0762e-02 eta: 2 days, 5:33:54 time: 0.2826 data_time: 0.0180 memory: 6334 grad_norm: 2.4054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1405 loss: 3.1405 2022/08/14 05:53:01 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 8.0762e-02 eta: 2 days, 5:33:26 time: 0.2824 data_time: 0.0179 memory: 6334 grad_norm: 2.3642 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9006 loss: 2.9006 2022/08/14 05:53:29 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 8.0762e-02 eta: 2 days, 5:32:58 time: 0.2833 data_time: 0.0171 memory: 6334 grad_norm: 2.3341 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8938 loss: 2.8938 2022/08/14 05:53:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:53:58 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 8.0762e-02 eta: 2 days, 5:32:30 time: 0.2848 data_time: 0.0180 memory: 6334 grad_norm: 2.3850 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0885 loss: 3.0885 2022/08/14 05:54:27 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 8.0762e-02 eta: 2 days, 5:32:03 time: 0.2850 data_time: 0.0197 memory: 6334 grad_norm: 2.3891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7565 loss: 2.7565 2022/08/14 05:54:55 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 8.0762e-02 eta: 2 days, 5:31:35 time: 0.2829 data_time: 0.0178 memory: 6334 grad_norm: 2.3995 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9051 loss: 2.9051 2022/08/14 05:55:24 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 8.0762e-02 eta: 2 days, 5:31:07 time: 0.2856 data_time: 0.0182 memory: 6334 grad_norm: 2.3405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8465 loss: 2.8465 2022/08/14 05:55:52 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 8.0762e-02 eta: 2 days, 5:30:38 time: 0.2837 data_time: 0.0191 memory: 6334 grad_norm: 2.3850 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8986 loss: 2.8986 2022/08/14 05:56:21 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 8.0762e-02 eta: 2 days, 5:30:11 time: 0.2827 data_time: 0.0201 memory: 6334 grad_norm: 2.4005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0265 loss: 3.0265 2022/08/14 05:56:49 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 8.0762e-02 eta: 2 days, 5:29:43 time: 0.2830 data_time: 0.0177 memory: 6334 grad_norm: 2.3129 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0969 loss: 3.0969 2022/08/14 05:57:18 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 8.0762e-02 eta: 2 days, 5:29:15 time: 0.2841 data_time: 0.0173 memory: 6334 grad_norm: 2.3940 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0956 loss: 3.0956 2022/08/14 05:57:46 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 8.0762e-02 eta: 2 days, 5:28:48 time: 0.2812 data_time: 0.0185 memory: 6334 grad_norm: 2.5213 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1872 loss: 3.1872 2022/08/14 05:58:15 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 8.0762e-02 eta: 2 days, 5:28:20 time: 0.2871 data_time: 0.0188 memory: 6334 grad_norm: 2.3796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0876 loss: 3.0876 2022/08/14 05:58:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 05:58:44 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 8.0762e-02 eta: 2 days, 5:27:53 time: 0.2836 data_time: 0.0186 memory: 6334 grad_norm: 2.4042 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0607 loss: 3.0607 2022/08/14 05:59:12 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 8.0762e-02 eta: 2 days, 5:27:25 time: 0.2848 data_time: 0.0185 memory: 6334 grad_norm: 2.3680 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1421 loss: 3.1421 2022/08/14 05:59:41 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 8.0762e-02 eta: 2 days, 5:26:57 time: 0.2834 data_time: 0.0177 memory: 6334 grad_norm: 2.4229 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7522 loss: 2.7522 2022/08/14 06:00:13 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 8.0762e-02 eta: 2 days, 5:26:38 time: 0.2825 data_time: 0.0190 memory: 6334 grad_norm: 2.3805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0446 loss: 3.0446 2022/08/14 06:00:42 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 8.0762e-02 eta: 2 days, 5:26:10 time: 0.2824 data_time: 0.0178 memory: 6334 grad_norm: 2.4238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1499 loss: 3.1499 2022/08/14 06:01:10 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 8.0762e-02 eta: 2 days, 5:25:42 time: 0.2821 data_time: 0.0164 memory: 6334 grad_norm: 2.4112 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3098 loss: 3.3098 2022/08/14 06:01:39 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 8.0762e-02 eta: 2 days, 5:25:14 time: 0.2829 data_time: 0.0179 memory: 6334 grad_norm: 2.4394 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9943 loss: 2.9943 2022/08/14 06:02:07 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 8.0762e-02 eta: 2 days, 5:24:46 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.3492 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9343 loss: 2.9343 2022/08/14 06:02:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:02:23 - mmengine - INFO - Epoch(train) [75][3757/3757] lr: 8.0762e-02 eta: 2 days, 5:24:35 time: 0.2616 data_time: 0.0145 memory: 6334 grad_norm: 2.3936 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0485 loss: 3.0485 2022/08/14 06:02:46 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:00:51 time: 0.2468 data_time: 0.1510 memory: 1152 2022/08/14 06:03:07 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:00:20 time: 0.1882 data_time: 0.0906 memory: 1152 2022/08/14 06:03:28 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:02 time: 0.2086 data_time: 0.1158 memory: 1152 2022/08/14 06:03:32 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.3790 acc/top5: 0.6550 acc/mean1: 0.3791 2022/08/14 06:04:03 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 8.0276e-02 eta: 2 days, 5:23:56 time: 0.2829 data_time: 0.0172 memory: 6334 grad_norm: 2.3682 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0737 loss: 3.0737 2022/08/14 06:04:31 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 8.0276e-02 eta: 2 days, 5:23:28 time: 0.2819 data_time: 0.0178 memory: 6334 grad_norm: 2.4220 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1922 loss: 3.1922 2022/08/14 06:04:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:05:00 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 8.0276e-02 eta: 2 days, 5:23:00 time: 0.2850 data_time: 0.0188 memory: 6334 grad_norm: 2.4335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1894 loss: 3.1894 2022/08/14 06:05:28 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 8.0276e-02 eta: 2 days, 5:22:32 time: 0.2818 data_time: 0.0187 memory: 6334 grad_norm: 2.3628 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1457 loss: 3.1457 2022/08/14 06:05:57 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 8.0276e-02 eta: 2 days, 5:22:04 time: 0.2828 data_time: 0.0183 memory: 6334 grad_norm: 2.4114 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7677 loss: 2.7677 2022/08/14 06:06:25 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 8.0276e-02 eta: 2 days, 5:21:36 time: 0.2843 data_time: 0.0199 memory: 6334 grad_norm: 2.3994 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2112 loss: 3.2112 2022/08/14 06:06:54 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 8.0276e-02 eta: 2 days, 5:21:08 time: 0.2837 data_time: 0.0185 memory: 6334 grad_norm: 2.3493 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9499 loss: 2.9499 2022/08/14 06:07:22 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 8.0276e-02 eta: 2 days, 5:20:40 time: 0.2812 data_time: 0.0191 memory: 6334 grad_norm: 2.4373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9420 loss: 2.9420 2022/08/14 06:07:51 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 8.0276e-02 eta: 2 days, 5:20:12 time: 0.2850 data_time: 0.0189 memory: 6334 grad_norm: 2.4257 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7991 loss: 2.7991 2022/08/14 06:08:19 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 8.0276e-02 eta: 2 days, 5:19:44 time: 0.2821 data_time: 0.0188 memory: 6334 grad_norm: 2.4488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2699 loss: 3.2699 2022/08/14 06:08:48 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 8.0276e-02 eta: 2 days, 5:19:16 time: 0.2868 data_time: 0.0178 memory: 6334 grad_norm: 2.3783 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0065 loss: 3.0065 2022/08/14 06:09:16 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 8.0276e-02 eta: 2 days, 5:18:48 time: 0.2829 data_time: 0.0184 memory: 6334 grad_norm: 2.4346 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3206 loss: 3.3206 2022/08/14 06:09:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:09:45 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 8.0276e-02 eta: 2 days, 5:18:20 time: 0.2822 data_time: 0.0181 memory: 6334 grad_norm: 2.4721 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9754 loss: 2.9754 2022/08/14 06:10:13 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 8.0276e-02 eta: 2 days, 5:17:52 time: 0.2822 data_time: 0.0170 memory: 6334 grad_norm: 2.3916 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4940 loss: 3.4940 2022/08/14 06:10:42 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 8.0276e-02 eta: 2 days, 5:17:24 time: 0.2825 data_time: 0.0182 memory: 6334 grad_norm: 2.3946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0178 loss: 3.0178 2022/08/14 06:11:10 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 8.0276e-02 eta: 2 days, 5:16:56 time: 0.2841 data_time: 0.0183 memory: 6334 grad_norm: 2.4136 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9725 loss: 2.9725 2022/08/14 06:11:39 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 8.0276e-02 eta: 2 days, 5:16:28 time: 0.2840 data_time: 0.0186 memory: 6334 grad_norm: 2.3427 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2542 loss: 3.2542 2022/08/14 06:12:07 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 8.0276e-02 eta: 2 days, 5:16:01 time: 0.2839 data_time: 0.0183 memory: 6334 grad_norm: 2.3436 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0587 loss: 3.0587 2022/08/14 06:12:36 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 8.0276e-02 eta: 2 days, 5:15:33 time: 0.2853 data_time: 0.0197 memory: 6334 grad_norm: 2.3427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2271 loss: 3.2271 2022/08/14 06:13:04 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 8.0276e-02 eta: 2 days, 5:15:04 time: 0.2824 data_time: 0.0183 memory: 6334 grad_norm: 2.4210 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0837 loss: 3.0837 2022/08/14 06:13:33 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 8.0276e-02 eta: 2 days, 5:14:37 time: 0.2803 data_time: 0.0178 memory: 6334 grad_norm: 2.3962 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1238 loss: 3.1238 2022/08/14 06:14:02 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 8.0276e-02 eta: 2 days, 5:14:09 time: 0.2821 data_time: 0.0186 memory: 6334 grad_norm: 2.4084 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1476 loss: 3.1476 2022/08/14 06:14:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:14:30 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 8.0276e-02 eta: 2 days, 5:13:41 time: 0.2822 data_time: 0.0173 memory: 6334 grad_norm: 2.4219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3090 loss: 3.3090 2022/08/14 06:14:59 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 8.0276e-02 eta: 2 days, 5:13:13 time: 0.2818 data_time: 0.0180 memory: 6334 grad_norm: 2.4152 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2287 loss: 3.2287 2022/08/14 06:15:27 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 8.0276e-02 eta: 2 days, 5:12:45 time: 0.2822 data_time: 0.0180 memory: 6334 grad_norm: 2.3674 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1519 loss: 3.1519 2022/08/14 06:15:56 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 8.0276e-02 eta: 2 days, 5:12:17 time: 0.2856 data_time: 0.0202 memory: 6334 grad_norm: 2.3598 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8207 loss: 2.8207 2022/08/14 06:16:24 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 8.0276e-02 eta: 2 days, 5:11:49 time: 0.2819 data_time: 0.0180 memory: 6334 grad_norm: 2.4215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6298 loss: 2.6298 2022/08/14 06:16:53 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 8.0276e-02 eta: 2 days, 5:11:21 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.4277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1198 loss: 3.1198 2022/08/14 06:17:21 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 8.0276e-02 eta: 2 days, 5:10:54 time: 0.2840 data_time: 0.0191 memory: 6334 grad_norm: 2.3279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3227 loss: 3.3227 2022/08/14 06:17:50 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 8.0276e-02 eta: 2 days, 5:10:26 time: 0.3009 data_time: 0.0182 memory: 6334 grad_norm: 2.4183 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0017 loss: 3.0017 2022/08/14 06:18:18 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 8.0276e-02 eta: 2 days, 5:09:58 time: 0.2838 data_time: 0.0179 memory: 6334 grad_norm: 2.4597 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0634 loss: 3.0634 2022/08/14 06:18:47 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 8.0276e-02 eta: 2 days, 5:09:31 time: 0.2851 data_time: 0.0179 memory: 6334 grad_norm: 2.4071 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2392 loss: 3.2392 2022/08/14 06:18:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:19:15 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 8.0276e-02 eta: 2 days, 5:09:03 time: 0.2845 data_time: 0.0180 memory: 6334 grad_norm: 2.4350 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9278 loss: 2.9278 2022/08/14 06:19:44 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 8.0276e-02 eta: 2 days, 5:08:35 time: 0.2826 data_time: 0.0178 memory: 6334 grad_norm: 2.4705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0322 loss: 3.0322 2022/08/14 06:20:12 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 8.0276e-02 eta: 2 days, 5:08:07 time: 0.2832 data_time: 0.0189 memory: 6334 grad_norm: 2.3863 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0571 loss: 3.0571 2022/08/14 06:20:41 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 8.0276e-02 eta: 2 days, 5:07:39 time: 0.2825 data_time: 0.0173 memory: 6334 grad_norm: 2.3429 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8884 loss: 2.8884 2022/08/14 06:21:10 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 8.0276e-02 eta: 2 days, 5:07:11 time: 0.2826 data_time: 0.0171 memory: 6334 grad_norm: 2.4092 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1160 loss: 3.1160 2022/08/14 06:21:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:21:25 - mmengine - INFO - Epoch(train) [76][3757/3757] lr: 8.0276e-02 eta: 2 days, 5:07:00 time: 0.2632 data_time: 0.0182 memory: 6334 grad_norm: 2.3965 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.9450 loss: 2.9450 2022/08/14 06:21:26 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/14 06:21:58 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 7.9785e-02 eta: 2 days, 5:06:17 time: 0.2815 data_time: 0.0186 memory: 6334 grad_norm: 2.3538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8600 loss: 2.8600 2022/08/14 06:22:27 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 7.9785e-02 eta: 2 days, 5:05:50 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.3775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9773 loss: 2.9773 2022/08/14 06:22:55 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 7.9785e-02 eta: 2 days, 5:05:22 time: 0.2828 data_time: 0.0183 memory: 6334 grad_norm: 2.3931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1615 loss: 3.1615 2022/08/14 06:23:24 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 7.9785e-02 eta: 2 days, 5:04:54 time: 0.2834 data_time: 0.0180 memory: 6334 grad_norm: 2.4566 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6937 loss: 3.6937 2022/08/14 06:23:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:23:52 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 7.9785e-02 eta: 2 days, 5:04:26 time: 0.2845 data_time: 0.0185 memory: 6334 grad_norm: 2.4356 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0940 loss: 3.0940 2022/08/14 06:24:21 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 7.9785e-02 eta: 2 days, 5:03:58 time: 0.2832 data_time: 0.0187 memory: 6334 grad_norm: 2.3717 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.9384 loss: 2.9384 2022/08/14 06:24:49 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 7.9785e-02 eta: 2 days, 5:03:30 time: 0.2819 data_time: 0.0181 memory: 6334 grad_norm: 2.3951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1056 loss: 3.1056 2022/08/14 06:25:18 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 7.9785e-02 eta: 2 days, 5:03:02 time: 0.2840 data_time: 0.0171 memory: 6334 grad_norm: 2.4043 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3778 loss: 3.3778 2022/08/14 06:25:46 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 7.9785e-02 eta: 2 days, 5:02:34 time: 0.2828 data_time: 0.0166 memory: 6334 grad_norm: 2.3609 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2125 loss: 3.2125 2022/08/14 06:26:15 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 7.9785e-02 eta: 2 days, 5:02:06 time: 0.2813 data_time: 0.0184 memory: 6334 grad_norm: 2.3830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9408 loss: 2.9408 2022/08/14 06:26:43 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 7.9785e-02 eta: 2 days, 5:01:39 time: 0.2822 data_time: 0.0173 memory: 6334 grad_norm: 2.3529 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0324 loss: 3.0324 2022/08/14 06:27:12 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 7.9785e-02 eta: 2 days, 5:01:11 time: 0.2855 data_time: 0.0185 memory: 6334 grad_norm: 2.4784 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2101 loss: 3.2101 2022/08/14 06:27:40 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 7.9785e-02 eta: 2 days, 5:00:43 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.4608 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1096 loss: 3.1096 2022/08/14 06:28:09 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 7.9785e-02 eta: 2 days, 5:00:15 time: 0.2853 data_time: 0.0196 memory: 6334 grad_norm: 2.4063 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9294 loss: 2.9294 2022/08/14 06:28:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:28:38 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 7.9785e-02 eta: 2 days, 4:59:47 time: 0.2857 data_time: 0.0180 memory: 6334 grad_norm: 2.3520 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0746 loss: 3.0746 2022/08/14 06:29:06 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 7.9785e-02 eta: 2 days, 4:59:19 time: 0.2903 data_time: 0.0181 memory: 6334 grad_norm: 2.4214 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0393 loss: 3.0393 2022/08/14 06:29:35 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 7.9785e-02 eta: 2 days, 4:58:51 time: 0.2830 data_time: 0.0176 memory: 6334 grad_norm: 2.3842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9441 loss: 2.9441 2022/08/14 06:30:03 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 7.9785e-02 eta: 2 days, 4:58:23 time: 0.2821 data_time: 0.0174 memory: 6334 grad_norm: 2.3927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1018 loss: 3.1018 2022/08/14 06:30:32 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 7.9785e-02 eta: 2 days, 4:57:56 time: 0.2846 data_time: 0.0188 memory: 6334 grad_norm: 2.3813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8010 loss: 2.8010 2022/08/14 06:31:00 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 7.9785e-02 eta: 2 days, 4:57:28 time: 0.2880 data_time: 0.0191 memory: 6334 grad_norm: 2.3829 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3451 loss: 3.3451 2022/08/14 06:31:29 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 7.9785e-02 eta: 2 days, 4:57:00 time: 0.2813 data_time: 0.0169 memory: 6334 grad_norm: 2.4334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9787 loss: 2.9787 2022/08/14 06:31:57 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 7.9785e-02 eta: 2 days, 4:56:32 time: 0.2813 data_time: 0.0184 memory: 6334 grad_norm: 2.3698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9671 loss: 2.9671 2022/08/14 06:32:26 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 7.9785e-02 eta: 2 days, 4:56:04 time: 0.2819 data_time: 0.0185 memory: 6334 grad_norm: 2.3700 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0059 loss: 3.0059 2022/08/14 06:32:54 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 7.9785e-02 eta: 2 days, 4:55:36 time: 0.2824 data_time: 0.0171 memory: 6334 grad_norm: 2.4240 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8716 loss: 2.8716 2022/08/14 06:33:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:33:23 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 7.9785e-02 eta: 2 days, 4:55:08 time: 0.2834 data_time: 0.0191 memory: 6334 grad_norm: 2.4728 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4212 loss: 3.4212 2022/08/14 06:33:51 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 7.9785e-02 eta: 2 days, 4:54:40 time: 0.2899 data_time: 0.0192 memory: 6334 grad_norm: 2.4169 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9717 loss: 2.9717 2022/08/14 06:34:20 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 7.9785e-02 eta: 2 days, 4:54:12 time: 0.2848 data_time: 0.0178 memory: 6334 grad_norm: 2.4068 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7678 loss: 2.7678 2022/08/14 06:34:49 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 7.9785e-02 eta: 2 days, 4:53:44 time: 0.2890 data_time: 0.0201 memory: 6334 grad_norm: 2.3624 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2827 loss: 3.2827 2022/08/14 06:35:17 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 7.9785e-02 eta: 2 days, 4:53:16 time: 0.2826 data_time: 0.0182 memory: 6334 grad_norm: 2.4165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.1418 loss: 3.1418 2022/08/14 06:35:45 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 7.9785e-02 eta: 2 days, 4:52:48 time: 0.2818 data_time: 0.0188 memory: 6334 grad_norm: 2.3895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2970 loss: 3.2970 2022/08/14 06:36:14 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 7.9785e-02 eta: 2 days, 4:52:20 time: 0.2832 data_time: 0.0187 memory: 6334 grad_norm: 2.3447 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3320 loss: 3.3320 2022/08/14 06:36:42 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 7.9785e-02 eta: 2 days, 4:51:52 time: 0.2821 data_time: 0.0176 memory: 6334 grad_norm: 2.4708 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1750 loss: 3.1750 2022/08/14 06:37:11 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 7.9785e-02 eta: 2 days, 4:51:24 time: 0.2852 data_time: 0.0179 memory: 6334 grad_norm: 2.3913 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7679 loss: 2.7679 2022/08/14 06:37:39 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 7.9785e-02 eta: 2 days, 4:50:56 time: 0.2830 data_time: 0.0189 memory: 6334 grad_norm: 2.4401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8086 loss: 2.8086 2022/08/14 06:37:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:38:08 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 7.9785e-02 eta: 2 days, 4:50:29 time: 0.2866 data_time: 0.0193 memory: 6334 grad_norm: 2.4053 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9609 loss: 2.9609 2022/08/14 06:38:37 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 7.9785e-02 eta: 2 days, 4:50:01 time: 0.2824 data_time: 0.0180 memory: 6334 grad_norm: 2.3700 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3009 loss: 3.3009 2022/08/14 06:39:05 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 7.9785e-02 eta: 2 days, 4:49:33 time: 0.2826 data_time: 0.0180 memory: 6334 grad_norm: 2.3804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9757 loss: 2.9757 2022/08/14 06:39:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:39:21 - mmengine - INFO - Epoch(train) [77][3757/3757] lr: 7.9785e-02 eta: 2 days, 4:49:22 time: 0.2642 data_time: 0.0153 memory: 6334 grad_norm: 2.3671 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9911 loss: 2.9911 2022/08/14 06:39:52 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 7.9290e-02 eta: 2 days, 4:48:42 time: 0.2833 data_time: 0.0186 memory: 6334 grad_norm: 2.4057 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8483 loss: 2.8483 2022/08/14 06:40:20 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 7.9290e-02 eta: 2 days, 4:48:15 time: 0.2832 data_time: 0.0197 memory: 6334 grad_norm: 2.4601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0339 loss: 3.0339 2022/08/14 06:40:49 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 7.9290e-02 eta: 2 days, 4:47:46 time: 0.2819 data_time: 0.0175 memory: 6334 grad_norm: 2.3667 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9317 loss: 2.9317 2022/08/14 06:41:17 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 7.9290e-02 eta: 2 days, 4:47:18 time: 0.2832 data_time: 0.0184 memory: 6334 grad_norm: 2.3875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8839 loss: 2.8839 2022/08/14 06:41:46 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 7.9290e-02 eta: 2 days, 4:46:50 time: 0.2844 data_time: 0.0181 memory: 6334 grad_norm: 2.3493 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2091 loss: 3.2091 2022/08/14 06:42:14 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 7.9290e-02 eta: 2 days, 4:46:23 time: 0.2845 data_time: 0.0189 memory: 6334 grad_norm: 2.4480 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1581 loss: 3.1581 2022/08/14 06:42:43 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 7.9290e-02 eta: 2 days, 4:45:55 time: 0.2825 data_time: 0.0189 memory: 6334 grad_norm: 2.4422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8351 loss: 2.8351 2022/08/14 06:42:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:43:11 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 7.9290e-02 eta: 2 days, 4:45:27 time: 0.2875 data_time: 0.0187 memory: 6334 grad_norm: 2.4133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6919 loss: 2.6919 2022/08/14 06:43:40 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 7.9290e-02 eta: 2 days, 4:44:59 time: 0.2823 data_time: 0.0184 memory: 6334 grad_norm: 2.3577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9356 loss: 2.9356 2022/08/14 06:44:08 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 7.9290e-02 eta: 2 days, 4:44:31 time: 0.2834 data_time: 0.0180 memory: 6334 grad_norm: 2.4085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9873 loss: 2.9873 2022/08/14 06:44:37 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 7.9290e-02 eta: 2 days, 4:44:03 time: 0.2810 data_time: 0.0176 memory: 6334 grad_norm: 2.3877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0754 loss: 3.0754 2022/08/14 06:45:05 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 7.9290e-02 eta: 2 days, 4:43:35 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.3900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3211 loss: 3.3211 2022/08/14 06:45:34 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 7.9290e-02 eta: 2 days, 4:43:08 time: 0.2870 data_time: 0.0185 memory: 6334 grad_norm: 2.3690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9398 loss: 2.9398 2022/08/14 06:46:03 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 7.9290e-02 eta: 2 days, 4:42:40 time: 0.2860 data_time: 0.0179 memory: 6334 grad_norm: 2.4389 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6175 loss: 2.6175 2022/08/14 06:46:31 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 7.9290e-02 eta: 2 days, 4:42:12 time: 0.2879 data_time: 0.0202 memory: 6334 grad_norm: 2.3574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0457 loss: 3.0457 2022/08/14 06:47:00 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 7.9290e-02 eta: 2 days, 4:41:44 time: 0.2827 data_time: 0.0175 memory: 6334 grad_norm: 2.3794 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0785 loss: 3.0785 2022/08/14 06:47:28 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 7.9290e-02 eta: 2 days, 4:41:16 time: 0.2835 data_time: 0.0191 memory: 6334 grad_norm: 2.4374 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1921 loss: 3.1921 2022/08/14 06:47:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:47:57 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 7.9290e-02 eta: 2 days, 4:40:48 time: 0.2835 data_time: 0.0174 memory: 6334 grad_norm: 2.4106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2651 loss: 3.2651 2022/08/14 06:48:25 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 7.9290e-02 eta: 2 days, 4:40:20 time: 0.2818 data_time: 0.0174 memory: 6334 grad_norm: 2.4193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0161 loss: 3.0161 2022/08/14 06:48:54 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 7.9290e-02 eta: 2 days, 4:39:52 time: 0.2831 data_time: 0.0196 memory: 6334 grad_norm: 2.4257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1559 loss: 3.1559 2022/08/14 06:49:22 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 7.9290e-02 eta: 2 days, 4:39:24 time: 0.2880 data_time: 0.0169 memory: 6334 grad_norm: 2.4458 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1317 loss: 3.1317 2022/08/14 06:49:51 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 7.9290e-02 eta: 2 days, 4:38:56 time: 0.2848 data_time: 0.0207 memory: 6334 grad_norm: 2.3902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1411 loss: 3.1411 2022/08/14 06:50:19 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 7.9290e-02 eta: 2 days, 4:38:28 time: 0.2833 data_time: 0.0178 memory: 6334 grad_norm: 2.4095 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3055 loss: 3.3055 2022/08/14 06:50:48 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 7.9290e-02 eta: 2 days, 4:38:00 time: 0.2824 data_time: 0.0178 memory: 6334 grad_norm: 2.4541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2492 loss: 3.2492 2022/08/14 06:51:16 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 7.9290e-02 eta: 2 days, 4:37:32 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.3700 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2385 loss: 3.2385 2022/08/14 06:51:45 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 7.9290e-02 eta: 2 days, 4:37:05 time: 0.2816 data_time: 0.0172 memory: 6334 grad_norm: 2.4148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4670 loss: 3.4670 2022/08/14 06:52:13 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 7.9290e-02 eta: 2 days, 4:36:37 time: 0.2833 data_time: 0.0192 memory: 6334 grad_norm: 2.4992 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1188 loss: 3.1188 2022/08/14 06:52:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:52:42 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 7.9290e-02 eta: 2 days, 4:36:09 time: 0.2878 data_time: 0.0174 memory: 6334 grad_norm: 2.3706 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0873 loss: 3.0873 2022/08/14 06:53:10 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 7.9290e-02 eta: 2 days, 4:35:41 time: 0.2849 data_time: 0.0188 memory: 6334 grad_norm: 2.3969 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0200 loss: 3.0200 2022/08/14 06:53:39 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 7.9290e-02 eta: 2 days, 4:35:13 time: 0.2816 data_time: 0.0184 memory: 6334 grad_norm: 2.3606 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9509 loss: 2.9509 2022/08/14 06:54:07 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 7.9290e-02 eta: 2 days, 4:34:44 time: 0.2816 data_time: 0.0191 memory: 6334 grad_norm: 2.3832 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1141 loss: 3.1141 2022/08/14 06:54:36 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 7.9290e-02 eta: 2 days, 4:34:17 time: 0.2827 data_time: 0.0181 memory: 6334 grad_norm: 2.3689 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9618 loss: 2.9618 2022/08/14 06:55:05 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 7.9290e-02 eta: 2 days, 4:33:49 time: 0.2823 data_time: 0.0176 memory: 6334 grad_norm: 2.4571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9600 loss: 2.9600 2022/08/14 06:55:33 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 7.9290e-02 eta: 2 days, 4:33:22 time: 0.2848 data_time: 0.0182 memory: 6334 grad_norm: 2.5013 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2855 loss: 3.2855 2022/08/14 06:56:02 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 7.9290e-02 eta: 2 days, 4:32:54 time: 0.2881 data_time: 0.0199 memory: 6334 grad_norm: 2.4052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1514 loss: 3.1514 2022/08/14 06:56:31 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 7.9290e-02 eta: 2 days, 4:32:26 time: 0.2832 data_time: 0.0170 memory: 6334 grad_norm: 2.3974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1439 loss: 3.1439 2022/08/14 06:56:59 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 7.9290e-02 eta: 2 days, 4:31:59 time: 0.2880 data_time: 0.0180 memory: 6334 grad_norm: 2.3745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1791 loss: 3.1791 2022/08/14 06:57:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:57:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 06:57:15 - mmengine - INFO - Epoch(train) [78][3757/3757] lr: 7.9290e-02 eta: 2 days, 4:31:48 time: 0.2604 data_time: 0.0151 memory: 6334 grad_norm: 2.4284 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.7467 loss: 2.7467 2022/08/14 06:57:46 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 7.8790e-02 eta: 2 days, 4:31:09 time: 0.2813 data_time: 0.0175 memory: 6334 grad_norm: 2.3926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8902 loss: 2.8902 2022/08/14 06:58:15 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 7.8790e-02 eta: 2 days, 4:30:41 time: 0.2826 data_time: 0.0175 memory: 6334 grad_norm: 2.4140 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0847 loss: 3.0847 2022/08/14 06:58:43 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 7.8790e-02 eta: 2 days, 4:30:14 time: 0.2843 data_time: 0.0183 memory: 6334 grad_norm: 2.4081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1663 loss: 3.1663 2022/08/14 06:59:12 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 7.8790e-02 eta: 2 days, 4:29:45 time: 0.2829 data_time: 0.0175 memory: 6334 grad_norm: 2.3891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3993 loss: 3.3993 2022/08/14 06:59:40 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 7.8790e-02 eta: 2 days, 4:29:17 time: 0.2833 data_time: 0.0180 memory: 6334 grad_norm: 2.4230 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0134 loss: 3.0134 2022/08/14 07:00:09 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 7.8790e-02 eta: 2 days, 4:28:49 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.4490 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3072 loss: 3.3072 2022/08/14 07:00:37 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 7.8790e-02 eta: 2 days, 4:28:21 time: 0.2833 data_time: 0.0181 memory: 6334 grad_norm: 2.3415 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0198 loss: 3.0198 2022/08/14 07:01:06 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 7.8790e-02 eta: 2 days, 4:27:54 time: 0.2833 data_time: 0.0181 memory: 6334 grad_norm: 2.3537 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0029 loss: 3.0029 2022/08/14 07:01:34 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 7.8790e-02 eta: 2 days, 4:27:26 time: 0.2819 data_time: 0.0182 memory: 6334 grad_norm: 2.4640 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9219 loss: 2.9219 2022/08/14 07:01:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:02:03 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 7.8790e-02 eta: 2 days, 4:26:58 time: 0.2845 data_time: 0.0176 memory: 6334 grad_norm: 2.3891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0492 loss: 3.0492 2022/08/14 07:02:31 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 7.8790e-02 eta: 2 days, 4:26:30 time: 0.2838 data_time: 0.0197 memory: 6334 grad_norm: 2.4208 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.3566 loss: 3.3566 2022/08/14 07:03:00 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 7.8790e-02 eta: 2 days, 4:26:02 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.3924 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0042 loss: 3.0042 2022/08/14 07:03:29 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 7.8790e-02 eta: 2 days, 4:25:35 time: 0.2830 data_time: 0.0178 memory: 6334 grad_norm: 2.4347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7733 loss: 2.7733 2022/08/14 07:03:57 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 7.8790e-02 eta: 2 days, 4:25:07 time: 0.2829 data_time: 0.0175 memory: 6334 grad_norm: 2.4678 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1457 loss: 3.1457 2022/08/14 07:04:26 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 7.8790e-02 eta: 2 days, 4:24:39 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.3931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1113 loss: 3.1113 2022/08/14 07:04:54 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 7.8790e-02 eta: 2 days, 4:24:11 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.4345 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1154 loss: 3.1154 2022/08/14 07:05:23 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 7.8790e-02 eta: 2 days, 4:23:43 time: 0.2884 data_time: 0.0184 memory: 6334 grad_norm: 2.3654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 3.2028 loss: 3.2028 2022/08/14 07:05:51 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 7.8790e-02 eta: 2 days, 4:23:15 time: 0.2829 data_time: 0.0189 memory: 6334 grad_norm: 2.3593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0371 loss: 3.0371 2022/08/14 07:06:20 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 7.8790e-02 eta: 2 days, 4:22:47 time: 0.2812 data_time: 0.0186 memory: 6334 grad_norm: 2.4178 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1162 loss: 3.1162 2022/08/14 07:06:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:06:48 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 7.8790e-02 eta: 2 days, 4:22:19 time: 0.2818 data_time: 0.0185 memory: 6334 grad_norm: 2.3922 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0551 loss: 3.0551 2022/08/14 07:07:17 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 7.8790e-02 eta: 2 days, 4:21:51 time: 0.2818 data_time: 0.0173 memory: 6334 grad_norm: 2.4789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1593 loss: 3.1593 2022/08/14 07:07:45 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 7.8790e-02 eta: 2 days, 4:21:23 time: 0.2811 data_time: 0.0166 memory: 6334 grad_norm: 2.4133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9552 loss: 2.9552 2022/08/14 07:08:14 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 7.8790e-02 eta: 2 days, 4:20:55 time: 0.2849 data_time: 0.0186 memory: 6334 grad_norm: 2.3974 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8733 loss: 2.8733 2022/08/14 07:08:42 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 7.8790e-02 eta: 2 days, 4:20:27 time: 0.2844 data_time: 0.0172 memory: 6334 grad_norm: 2.3784 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0082 loss: 3.0082 2022/08/14 07:09:11 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 7.8790e-02 eta: 2 days, 4:19:59 time: 0.2828 data_time: 0.0212 memory: 6334 grad_norm: 2.3934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0919 loss: 3.0919 2022/08/14 07:09:39 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 7.8790e-02 eta: 2 days, 4:19:31 time: 0.2857 data_time: 0.0179 memory: 6334 grad_norm: 2.3824 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1058 loss: 3.1058 2022/08/14 07:10:08 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 7.8790e-02 eta: 2 days, 4:19:03 time: 0.2811 data_time: 0.0172 memory: 6334 grad_norm: 2.4152 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7322 loss: 2.7322 2022/08/14 07:10:37 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 7.8790e-02 eta: 2 days, 4:18:36 time: 0.2842 data_time: 0.0185 memory: 6334 grad_norm: 2.4091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2650 loss: 3.2650 2022/08/14 07:11:05 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 7.8790e-02 eta: 2 days, 4:18:08 time: 0.2831 data_time: 0.0175 memory: 6334 grad_norm: 2.3559 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0372 loss: 3.0372 2022/08/14 07:11:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:11:34 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 7.8790e-02 eta: 2 days, 4:17:40 time: 0.2848 data_time: 0.0182 memory: 6334 grad_norm: 2.3241 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7038 loss: 2.7038 2022/08/14 07:12:02 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 7.8790e-02 eta: 2 days, 4:17:12 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.4184 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7305 loss: 2.7305 2022/08/14 07:12:31 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 7.8790e-02 eta: 2 days, 4:16:44 time: 0.2823 data_time: 0.0182 memory: 6334 grad_norm: 2.4270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1190 loss: 3.1190 2022/08/14 07:12:59 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 7.8790e-02 eta: 2 days, 4:16:16 time: 0.2832 data_time: 0.0179 memory: 6334 grad_norm: 2.4072 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1931 loss: 3.1931 2022/08/14 07:13:28 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 7.8790e-02 eta: 2 days, 4:15:48 time: 0.2838 data_time: 0.0170 memory: 6334 grad_norm: 2.4293 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0858 loss: 3.0858 2022/08/14 07:13:56 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 7.8790e-02 eta: 2 days, 4:15:20 time: 0.2856 data_time: 0.0187 memory: 6334 grad_norm: 2.3943 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4018 loss: 3.4018 2022/08/14 07:14:25 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 7.8790e-02 eta: 2 days, 4:14:53 time: 0.2839 data_time: 0.0180 memory: 6334 grad_norm: 2.4502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0803 loss: 3.0803 2022/08/14 07:14:54 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 7.8790e-02 eta: 2 days, 4:14:25 time: 0.2849 data_time: 0.0193 memory: 6334 grad_norm: 2.4240 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1237 loss: 3.1237 2022/08/14 07:15:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:15:09 - mmengine - INFO - Epoch(train) [79][3757/3757] lr: 7.8790e-02 eta: 2 days, 4:14:14 time: 0.2628 data_time: 0.0151 memory: 6334 grad_norm: 2.4054 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 3.2311 loss: 3.2311 2022/08/14 07:15:40 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 7.8287e-02 eta: 2 days, 4:13:35 time: 0.2836 data_time: 0.0182 memory: 6334 grad_norm: 2.4346 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9783 loss: 2.9783 2022/08/14 07:16:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:16:09 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 7.8287e-02 eta: 2 days, 4:13:07 time: 0.2829 data_time: 0.0176 memory: 6334 grad_norm: 2.4259 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1933 loss: 3.1933 2022/08/14 07:16:37 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 7.8287e-02 eta: 2 days, 4:12:39 time: 0.2835 data_time: 0.0173 memory: 6334 grad_norm: 2.3443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9309 loss: 2.9309 2022/08/14 07:17:06 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 7.8287e-02 eta: 2 days, 4:12:11 time: 0.2831 data_time: 0.0176 memory: 6334 grad_norm: 2.3862 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9929 loss: 2.9929 2022/08/14 07:17:34 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 7.8287e-02 eta: 2 days, 4:11:43 time: 0.2865 data_time: 0.0184 memory: 6334 grad_norm: 2.4957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9694 loss: 2.9694 2022/08/14 07:18:03 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 7.8287e-02 eta: 2 days, 4:11:15 time: 0.2829 data_time: 0.0192 memory: 6334 grad_norm: 2.4131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0295 loss: 3.0295 2022/08/14 07:18:31 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 7.8287e-02 eta: 2 days, 4:10:47 time: 0.2847 data_time: 0.0189 memory: 6334 grad_norm: 2.4153 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1759 loss: 3.1759 2022/08/14 07:19:00 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 7.8287e-02 eta: 2 days, 4:10:19 time: 0.2816 data_time: 0.0177 memory: 6334 grad_norm: 2.3911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0030 loss: 3.0030 2022/08/14 07:19:28 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 7.8287e-02 eta: 2 days, 4:09:51 time: 0.2823 data_time: 0.0187 memory: 6334 grad_norm: 2.4864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1705 loss: 3.1705 2022/08/14 07:19:57 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 7.8287e-02 eta: 2 days, 4:09:23 time: 0.2816 data_time: 0.0182 memory: 6334 grad_norm: 2.3695 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8839 loss: 2.8839 2022/08/14 07:20:25 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 7.8287e-02 eta: 2 days, 4:08:55 time: 0.2839 data_time: 0.0184 memory: 6334 grad_norm: 2.3901 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1355 loss: 3.1355 2022/08/14 07:20:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:20:54 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 7.8287e-02 eta: 2 days, 4:08:27 time: 0.2850 data_time: 0.0195 memory: 6334 grad_norm: 2.3502 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0061 loss: 3.0061 2022/08/14 07:21:22 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 7.8287e-02 eta: 2 days, 4:07:59 time: 0.2848 data_time: 0.0195 memory: 6334 grad_norm: 2.4544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1393 loss: 3.1393 2022/08/14 07:21:51 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 7.8287e-02 eta: 2 days, 4:07:31 time: 0.2832 data_time: 0.0194 memory: 6334 grad_norm: 2.4710 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0522 loss: 3.0522 2022/08/14 07:22:19 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 7.8287e-02 eta: 2 days, 4:07:03 time: 0.2818 data_time: 0.0175 memory: 6334 grad_norm: 2.4773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2577 loss: 3.2577 2022/08/14 07:22:48 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 7.8287e-02 eta: 2 days, 4:06:35 time: 0.2853 data_time: 0.0186 memory: 6334 grad_norm: 2.4309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9978 loss: 2.9978 2022/08/14 07:23:16 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 7.8287e-02 eta: 2 days, 4:06:07 time: 0.2833 data_time: 0.0190 memory: 6334 grad_norm: 2.4604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0330 loss: 3.0330 2022/08/14 07:23:45 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 7.8287e-02 eta: 2 days, 4:05:40 time: 0.2861 data_time: 0.0189 memory: 6334 grad_norm: 2.4756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7176 loss: 2.7176 2022/08/14 07:24:14 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 7.8287e-02 eta: 2 days, 4:05:12 time: 0.2819 data_time: 0.0169 memory: 6334 grad_norm: 2.4696 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0617 loss: 3.0617 2022/08/14 07:24:42 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 7.8287e-02 eta: 2 days, 4:04:44 time: 0.2856 data_time: 0.0182 memory: 6334 grad_norm: 2.4420 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0233 loss: 3.0233 2022/08/14 07:25:11 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 7.8287e-02 eta: 2 days, 4:04:16 time: 0.2816 data_time: 0.0182 memory: 6334 grad_norm: 2.4753 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9163 loss: 2.9163 2022/08/14 07:25:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:25:39 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 7.8287e-02 eta: 2 days, 4:03:48 time: 0.2817 data_time: 0.0175 memory: 6334 grad_norm: 2.4531 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4318 loss: 3.4318 2022/08/14 07:26:08 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 7.8287e-02 eta: 2 days, 4:03:20 time: 0.2837 data_time: 0.0185 memory: 6334 grad_norm: 2.3954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9869 loss: 2.9869 2022/08/14 07:26:36 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 7.8287e-02 eta: 2 days, 4:02:52 time: 0.2825 data_time: 0.0180 memory: 6334 grad_norm: 2.3416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9429 loss: 2.9429 2022/08/14 07:27:05 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 7.8287e-02 eta: 2 days, 4:02:24 time: 0.2828 data_time: 0.0191 memory: 6334 grad_norm: 2.3599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0937 loss: 3.0937 2022/08/14 07:27:33 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 7.8287e-02 eta: 2 days, 4:01:56 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.4640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/08/14 07:28:02 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 7.8287e-02 eta: 2 days, 4:01:28 time: 0.2821 data_time: 0.0188 memory: 6334 grad_norm: 2.4756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0125 loss: 3.0125 2022/08/14 07:28:30 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 7.8287e-02 eta: 2 days, 4:01:00 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.4323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9308 loss: 2.9308 2022/08/14 07:28:59 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 7.8287e-02 eta: 2 days, 4:00:32 time: 0.2817 data_time: 0.0166 memory: 6334 grad_norm: 2.5147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8348 loss: 2.8348 2022/08/14 07:29:27 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 7.8287e-02 eta: 2 days, 4:00:04 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.4429 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8280 loss: 2.8280 2022/08/14 07:29:56 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 7.8287e-02 eta: 2 days, 3:59:36 time: 0.2827 data_time: 0.0171 memory: 6334 grad_norm: 2.4876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4281 loss: 3.4281 2022/08/14 07:30:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:30:24 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 7.8287e-02 eta: 2 days, 3:59:08 time: 0.2840 data_time: 0.0193 memory: 6334 grad_norm: 2.3522 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0436 loss: 3.0436 2022/08/14 07:30:53 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 7.8287e-02 eta: 2 days, 3:58:40 time: 0.2838 data_time: 0.0189 memory: 6334 grad_norm: 2.3602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1817 loss: 3.1817 2022/08/14 07:31:21 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 7.8287e-02 eta: 2 days, 3:58:12 time: 0.2825 data_time: 0.0170 memory: 6334 grad_norm: 2.3719 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2899 loss: 3.2899 2022/08/14 07:31:50 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 7.8287e-02 eta: 2 days, 3:57:44 time: 0.2823 data_time: 0.0175 memory: 6334 grad_norm: 2.3493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0135 loss: 3.0135 2022/08/14 07:32:18 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 7.8287e-02 eta: 2 days, 3:57:16 time: 0.2839 data_time: 0.0185 memory: 6334 grad_norm: 2.3543 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1724 loss: 3.1724 2022/08/14 07:32:47 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 7.8287e-02 eta: 2 days, 3:56:48 time: 0.2826 data_time: 0.0183 memory: 6334 grad_norm: 2.3807 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6901 loss: 2.6901 2022/08/14 07:33:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:33:03 - mmengine - INFO - Epoch(train) [80][3757/3757] lr: 7.8287e-02 eta: 2 days, 3:56:37 time: 0.2639 data_time: 0.0181 memory: 6334 grad_norm: 2.4454 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.0977 loss: 3.0977 2022/08/14 07:33:03 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/14 07:33:28 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:00:45 time: 0.2145 data_time: 0.1218 memory: 1152 2022/08/14 07:33:50 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:19 time: 0.1817 data_time: 0.0847 memory: 1152 2022/08/14 07:34:10 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:01 time: 0.1540 data_time: 0.0707 memory: 1152 2022/08/14 07:34:12 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.3818 acc/top5: 0.6504 acc/mean1: 0.3816 2022/08/14 07:34:42 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 7.7779e-02 eta: 2 days, 3:55:58 time: 0.2848 data_time: 0.0197 memory: 6334 grad_norm: 2.4542 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9387 loss: 2.9387 2022/08/14 07:35:11 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 7.7779e-02 eta: 2 days, 3:55:30 time: 0.2842 data_time: 0.0181 memory: 6334 grad_norm: 2.3853 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7478 loss: 2.7478 2022/08/14 07:35:40 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 7.7779e-02 eta: 2 days, 3:55:02 time: 0.2824 data_time: 0.0171 memory: 6334 grad_norm: 2.4068 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1865 loss: 3.1865 2022/08/14 07:36:08 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 7.7779e-02 eta: 2 days, 3:54:34 time: 0.2835 data_time: 0.0205 memory: 6334 grad_norm: 2.3695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0787 loss: 3.0787 2022/08/14 07:36:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:36:37 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 7.7779e-02 eta: 2 days, 3:54:06 time: 0.2846 data_time: 0.0182 memory: 6334 grad_norm: 2.4160 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2047 loss: 3.2047 2022/08/14 07:37:05 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 7.7779e-02 eta: 2 days, 3:53:38 time: 0.2830 data_time: 0.0185 memory: 6334 grad_norm: 2.4372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2333 loss: 3.2333 2022/08/14 07:37:34 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 7.7779e-02 eta: 2 days, 3:53:10 time: 0.2846 data_time: 0.0185 memory: 6334 grad_norm: 2.4020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0781 loss: 3.0781 2022/08/14 07:38:02 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 7.7779e-02 eta: 2 days, 3:52:42 time: 0.2817 data_time: 0.0178 memory: 6334 grad_norm: 2.4415 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4438 loss: 3.4438 2022/08/14 07:38:31 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 7.7779e-02 eta: 2 days, 3:52:14 time: 0.2833 data_time: 0.0175 memory: 6334 grad_norm: 2.4230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3514 loss: 3.3514 2022/08/14 07:38:59 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 7.7779e-02 eta: 2 days, 3:51:46 time: 0.2833 data_time: 0.0180 memory: 6334 grad_norm: 2.4770 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4226 loss: 3.4226 2022/08/14 07:39:28 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 7.7779e-02 eta: 2 days, 3:51:19 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.3960 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7519 loss: 2.7519 2022/08/14 07:39:56 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 7.7779e-02 eta: 2 days, 3:50:51 time: 0.2857 data_time: 0.0189 memory: 6334 grad_norm: 2.5170 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3877 loss: 3.3877 2022/08/14 07:40:25 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 7.7779e-02 eta: 2 days, 3:50:23 time: 0.2839 data_time: 0.0182 memory: 6334 grad_norm: 2.4404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0543 loss: 3.0543 2022/08/14 07:40:53 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 7.7779e-02 eta: 2 days, 3:49:55 time: 0.2836 data_time: 0.0196 memory: 6334 grad_norm: 2.3701 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1550 loss: 3.1550 2022/08/14 07:41:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:41:22 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 7.7779e-02 eta: 2 days, 3:49:27 time: 0.2847 data_time: 0.0200 memory: 6334 grad_norm: 2.3633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0692 loss: 3.0692 2022/08/14 07:41:51 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 7.7779e-02 eta: 2 days, 3:48:59 time: 0.2812 data_time: 0.0170 memory: 6334 grad_norm: 2.4988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1983 loss: 3.1983 2022/08/14 07:42:19 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 7.7779e-02 eta: 2 days, 3:48:31 time: 0.2824 data_time: 0.0205 memory: 6334 grad_norm: 2.4508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7271 loss: 2.7271 2022/08/14 07:42:48 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 7.7779e-02 eta: 2 days, 3:48:03 time: 0.2841 data_time: 0.0182 memory: 6334 grad_norm: 2.4429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6899 loss: 2.6899 2022/08/14 07:43:16 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 7.7779e-02 eta: 2 days, 3:47:35 time: 0.2839 data_time: 0.0205 memory: 6334 grad_norm: 2.3473 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1399 loss: 3.1399 2022/08/14 07:43:45 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 7.7779e-02 eta: 2 days, 3:47:07 time: 0.2832 data_time: 0.0183 memory: 6334 grad_norm: 2.4850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9712 loss: 2.9712 2022/08/14 07:44:13 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 7.7779e-02 eta: 2 days, 3:46:39 time: 0.2838 data_time: 0.0183 memory: 6334 grad_norm: 2.4149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8861 loss: 2.8861 2022/08/14 07:44:42 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 7.7779e-02 eta: 2 days, 3:46:11 time: 0.2819 data_time: 0.0189 memory: 6334 grad_norm: 2.3741 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0697 loss: 3.0697 2022/08/14 07:45:10 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 7.7779e-02 eta: 2 days, 3:45:44 time: 0.2821 data_time: 0.0172 memory: 6334 grad_norm: 2.4026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8825 loss: 2.8825 2022/08/14 07:45:39 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 7.7779e-02 eta: 2 days, 3:45:16 time: 0.2842 data_time: 0.0180 memory: 6334 grad_norm: 2.4406 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7794 loss: 2.7794 2022/08/14 07:45:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:46:07 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 7.7779e-02 eta: 2 days, 3:44:47 time: 0.2828 data_time: 0.0190 memory: 6334 grad_norm: 2.4497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1326 loss: 3.1326 2022/08/14 07:46:36 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 7.7779e-02 eta: 2 days, 3:44:19 time: 0.2855 data_time: 0.0196 memory: 6334 grad_norm: 2.3604 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2953 loss: 3.2953 2022/08/14 07:47:04 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 7.7779e-02 eta: 2 days, 3:43:51 time: 0.2831 data_time: 0.0184 memory: 6334 grad_norm: 2.3582 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8864 loss: 2.8864 2022/08/14 07:47:33 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 7.7779e-02 eta: 2 days, 3:43:23 time: 0.2815 data_time: 0.0186 memory: 6334 grad_norm: 2.4396 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0388 loss: 3.0388 2022/08/14 07:48:01 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 7.7779e-02 eta: 2 days, 3:42:55 time: 0.2830 data_time: 0.0188 memory: 6334 grad_norm: 2.4276 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0976 loss: 3.0976 2022/08/14 07:48:30 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 7.7779e-02 eta: 2 days, 3:42:27 time: 0.2864 data_time: 0.0185 memory: 6334 grad_norm: 2.4403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8738 loss: 2.8738 2022/08/14 07:48:59 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 7.7779e-02 eta: 2 days, 3:42:00 time: 0.2835 data_time: 0.0179 memory: 6334 grad_norm: 2.5018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1000 loss: 3.1000 2022/08/14 07:49:27 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 7.7779e-02 eta: 2 days, 3:41:32 time: 0.2855 data_time: 0.0181 memory: 6334 grad_norm: 2.4175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2424 loss: 3.2424 2022/08/14 07:49:56 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 7.7779e-02 eta: 2 days, 3:41:04 time: 0.2840 data_time: 0.0181 memory: 6334 grad_norm: 2.4810 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1075 loss: 3.1075 2022/08/14 07:50:24 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 7.7779e-02 eta: 2 days, 3:40:36 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.4051 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8343 loss: 2.8343 2022/08/14 07:50:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:50:53 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 7.7779e-02 eta: 2 days, 3:40:08 time: 0.2823 data_time: 0.0179 memory: 6334 grad_norm: 2.4134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1145 loss: 3.1145 2022/08/14 07:51:21 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 7.7779e-02 eta: 2 days, 3:39:40 time: 0.2835 data_time: 0.0185 memory: 6334 grad_norm: 2.4046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0517 loss: 3.0517 2022/08/14 07:51:50 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 7.7779e-02 eta: 2 days, 3:39:12 time: 0.2830 data_time: 0.0180 memory: 6334 grad_norm: 2.4938 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0736 loss: 3.0736 2022/08/14 07:52:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:52:06 - mmengine - INFO - Epoch(train) [81][3757/3757] lr: 7.7779e-02 eta: 2 days, 3:39:01 time: 0.2622 data_time: 0.0147 memory: 6334 grad_norm: 2.3430 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.1833 loss: 3.1833 2022/08/14 07:52:36 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 7.7266e-02 eta: 2 days, 3:38:22 time: 0.2846 data_time: 0.0193 memory: 6334 grad_norm: 2.4652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1307 loss: 3.1307 2022/08/14 07:53:05 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 7.7266e-02 eta: 2 days, 3:37:54 time: 0.2839 data_time: 0.0187 memory: 6334 grad_norm: 2.4156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7814 loss: 2.7814 2022/08/14 07:53:33 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 7.7266e-02 eta: 2 days, 3:37:26 time: 0.2826 data_time: 0.0183 memory: 6334 grad_norm: 2.3856 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2447 loss: 3.2447 2022/08/14 07:54:02 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 7.7266e-02 eta: 2 days, 3:36:58 time: 0.2821 data_time: 0.0184 memory: 6334 grad_norm: 2.4925 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1572 loss: 3.1572 2022/08/14 07:54:30 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 7.7266e-02 eta: 2 days, 3:36:30 time: 0.2829 data_time: 0.0183 memory: 6334 grad_norm: 2.4574 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0802 loss: 3.0802 2022/08/14 07:54:59 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 7.7266e-02 eta: 2 days, 3:36:02 time: 0.2820 data_time: 0.0176 memory: 6334 grad_norm: 2.4167 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0649 loss: 3.0649 2022/08/14 07:55:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 07:55:27 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 7.7266e-02 eta: 2 days, 3:35:34 time: 0.2829 data_time: 0.0191 memory: 6334 grad_norm: 2.4393 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0766 loss: 3.0766 2022/08/14 07:55:56 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 7.7266e-02 eta: 2 days, 3:35:06 time: 0.2831 data_time: 0.0178 memory: 6334 grad_norm: 2.4511 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1025 loss: 3.1025 2022/08/14 07:56:24 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 7.7266e-02 eta: 2 days, 3:34:38 time: 0.2839 data_time: 0.0180 memory: 6334 grad_norm: 2.4066 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9749 loss: 2.9749 2022/08/14 07:56:53 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 7.7266e-02 eta: 2 days, 3:34:10 time: 0.2822 data_time: 0.0180 memory: 6334 grad_norm: 2.3578 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9237 loss: 2.9237 2022/08/14 07:57:21 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 7.7266e-02 eta: 2 days, 3:33:42 time: 0.2836 data_time: 0.0188 memory: 6334 grad_norm: 2.3555 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0554 loss: 3.0554 2022/08/14 07:57:50 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 7.7266e-02 eta: 2 days, 3:33:14 time: 0.2840 data_time: 0.0183 memory: 6334 grad_norm: 2.4389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9614 loss: 2.9614 2022/08/14 07:58:18 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 7.7266e-02 eta: 2 days, 3:32:46 time: 0.2881 data_time: 0.0189 memory: 6334 grad_norm: 2.4315 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1573 loss: 3.1573 2022/08/14 07:58:47 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 7.7266e-02 eta: 2 days, 3:32:18 time: 0.2838 data_time: 0.0190 memory: 6334 grad_norm: 2.3987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9644 loss: 2.9644 2022/08/14 07:59:16 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 7.7266e-02 eta: 2 days, 3:31:50 time: 0.2841 data_time: 0.0188 memory: 6334 grad_norm: 2.4238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0110 loss: 3.0110 2022/08/14 07:59:44 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 7.7266e-02 eta: 2 days, 3:31:22 time: 0.2824 data_time: 0.0176 memory: 6334 grad_norm: 2.4368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7604 loss: 2.7604 2022/08/14 08:00:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:00:12 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 7.7266e-02 eta: 2 days, 3:30:54 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.4687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4139 loss: 3.4139 2022/08/14 08:00:41 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 7.7266e-02 eta: 2 days, 3:30:26 time: 0.2843 data_time: 0.0184 memory: 6334 grad_norm: 2.4673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0196 loss: 3.0196 2022/08/14 08:01:10 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 7.7266e-02 eta: 2 days, 3:29:58 time: 0.2869 data_time: 0.0179 memory: 6334 grad_norm: 2.4201 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1555 loss: 3.1555 2022/08/14 08:01:38 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 7.7266e-02 eta: 2 days, 3:29:31 time: 0.2864 data_time: 0.0191 memory: 6334 grad_norm: 2.3998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3586 loss: 3.3586 2022/08/14 08:02:07 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 7.7266e-02 eta: 2 days, 3:29:03 time: 0.2833 data_time: 0.0175 memory: 6334 grad_norm: 2.4152 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8748 loss: 2.8748 2022/08/14 08:02:35 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 7.7266e-02 eta: 2 days, 3:28:35 time: 0.2832 data_time: 0.0188 memory: 6334 grad_norm: 2.4671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2943 loss: 3.2943 2022/08/14 08:03:04 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 7.7266e-02 eta: 2 days, 3:28:07 time: 0.2839 data_time: 0.0182 memory: 6334 grad_norm: 2.4631 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8950 loss: 2.8950 2022/08/14 08:03:33 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 7.7266e-02 eta: 2 days, 3:27:39 time: 0.2837 data_time: 0.0190 memory: 6334 grad_norm: 2.3672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1240 loss: 3.1240 2022/08/14 08:04:01 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 7.7266e-02 eta: 2 days, 3:27:11 time: 0.2822 data_time: 0.0187 memory: 6334 grad_norm: 2.4526 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2223 loss: 3.2223 2022/08/14 08:04:30 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 7.7266e-02 eta: 2 days, 3:26:43 time: 0.2839 data_time: 0.0181 memory: 6334 grad_norm: 2.4064 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9416 loss: 2.9416 2022/08/14 08:04:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:04:58 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 7.7266e-02 eta: 2 days, 3:26:15 time: 0.2832 data_time: 0.0191 memory: 6334 grad_norm: 2.3487 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8095 loss: 2.8095 2022/08/14 08:05:27 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 7.7266e-02 eta: 2 days, 3:25:47 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.4218 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9550 loss: 2.9550 2022/08/14 08:05:55 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 7.7266e-02 eta: 2 days, 3:25:19 time: 0.2831 data_time: 0.0190 memory: 6334 grad_norm: 2.4811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1912 loss: 3.1912 2022/08/14 08:06:24 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 7.7266e-02 eta: 2 days, 3:24:52 time: 0.2840 data_time: 0.0179 memory: 6334 grad_norm: 2.4312 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3893 loss: 3.3893 2022/08/14 08:06:52 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 7.7266e-02 eta: 2 days, 3:24:24 time: 0.2831 data_time: 0.0171 memory: 6334 grad_norm: 2.4351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0813 loss: 3.0813 2022/08/14 08:07:21 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 7.7266e-02 eta: 2 days, 3:23:56 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.4312 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2695 loss: 3.2695 2022/08/14 08:07:50 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 7.7266e-02 eta: 2 days, 3:23:28 time: 0.2827 data_time: 0.0198 memory: 6334 grad_norm: 2.4044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1269 loss: 3.1269 2022/08/14 08:08:18 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 7.7266e-02 eta: 2 days, 3:23:00 time: 0.2834 data_time: 0.0179 memory: 6334 grad_norm: 2.4374 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9916 loss: 2.9916 2022/08/14 08:08:47 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 7.7266e-02 eta: 2 days, 3:22:32 time: 0.2823 data_time: 0.0184 memory: 6334 grad_norm: 2.4272 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9224 loss: 2.9224 2022/08/14 08:09:15 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 7.7266e-02 eta: 2 days, 3:22:04 time: 0.2836 data_time: 0.0178 memory: 6334 grad_norm: 2.4241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9575 loss: 2.9575 2022/08/14 08:09:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:09:44 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 7.7266e-02 eta: 2 days, 3:21:36 time: 0.2824 data_time: 0.0178 memory: 6334 grad_norm: 2.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0301 loss: 3.0301 2022/08/14 08:09:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:09:59 - mmengine - INFO - Epoch(train) [82][3757/3757] lr: 7.7266e-02 eta: 2 days, 3:21:25 time: 0.2632 data_time: 0.0155 memory: 6334 grad_norm: 2.4126 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.3744 loss: 3.3744 2022/08/14 08:10:30 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 7.6750e-02 eta: 2 days, 3:20:46 time: 0.2835 data_time: 0.0170 memory: 6334 grad_norm: 2.4369 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1434 loss: 3.1434 2022/08/14 08:10:59 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 7.6750e-02 eta: 2 days, 3:20:18 time: 0.2829 data_time: 0.0174 memory: 6334 grad_norm: 2.4137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8795 loss: 2.8795 2022/08/14 08:11:27 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 7.6750e-02 eta: 2 days, 3:19:50 time: 0.2856 data_time: 0.0188 memory: 6334 grad_norm: 2.4288 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1427 loss: 3.1427 2022/08/14 08:11:56 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 7.6750e-02 eta: 2 days, 3:19:22 time: 0.2836 data_time: 0.0183 memory: 6334 grad_norm: 2.4163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1023 loss: 3.1023 2022/08/14 08:12:24 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 7.6750e-02 eta: 2 days, 3:18:54 time: 0.2818 data_time: 0.0182 memory: 6334 grad_norm: 2.4212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0073 loss: 3.0073 2022/08/14 08:12:53 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 7.6750e-02 eta: 2 days, 3:18:27 time: 0.2845 data_time: 0.0176 memory: 6334 grad_norm: 2.4255 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8942 loss: 2.8942 2022/08/14 08:13:22 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 7.6750e-02 eta: 2 days, 3:17:59 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.4376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7964 loss: 2.7964 2022/08/14 08:13:50 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 7.6750e-02 eta: 2 days, 3:17:31 time: 0.2871 data_time: 0.0185 memory: 6334 grad_norm: 2.4624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1155 loss: 3.1155 2022/08/14 08:14:19 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 7.6750e-02 eta: 2 days, 3:17:03 time: 0.2831 data_time: 0.0178 memory: 6334 grad_norm: 2.4963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2003 loss: 3.2003 2022/08/14 08:14:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:14:47 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 7.6750e-02 eta: 2 days, 3:16:35 time: 0.2854 data_time: 0.0173 memory: 6334 grad_norm: 2.4262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8763 loss: 2.8763 2022/08/14 08:15:16 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 7.6750e-02 eta: 2 days, 3:16:08 time: 0.2817 data_time: 0.0177 memory: 6334 grad_norm: 2.4007 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9698 loss: 2.9698 2022/08/14 08:15:45 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 7.6750e-02 eta: 2 days, 3:15:40 time: 0.2802 data_time: 0.0173 memory: 6334 grad_norm: 2.3648 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0367 loss: 3.0367 2022/08/14 08:16:13 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 7.6750e-02 eta: 2 days, 3:15:12 time: 0.2824 data_time: 0.0175 memory: 6334 grad_norm: 2.4069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8544 loss: 2.8544 2022/08/14 08:16:42 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 7.6750e-02 eta: 2 days, 3:14:44 time: 0.2834 data_time: 0.0191 memory: 6334 grad_norm: 2.4329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8498 loss: 2.8498 2022/08/14 08:17:11 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 7.6750e-02 eta: 2 days, 3:14:17 time: 0.2823 data_time: 0.0180 memory: 6334 grad_norm: 2.4055 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2205 loss: 3.2205 2022/08/14 08:17:39 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 7.6750e-02 eta: 2 days, 3:13:49 time: 0.2829 data_time: 0.0176 memory: 6334 grad_norm: 2.3489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0085 loss: 3.0085 2022/08/14 08:18:08 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 7.6750e-02 eta: 2 days, 3:13:21 time: 0.2869 data_time: 0.0198 memory: 6334 grad_norm: 2.4668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1737 loss: 3.1737 2022/08/14 08:18:36 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 7.6750e-02 eta: 2 days, 3:12:53 time: 0.2827 data_time: 0.0175 memory: 6334 grad_norm: 2.4667 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1669 loss: 3.1669 2022/08/14 08:19:05 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 7.6750e-02 eta: 2 days, 3:12:25 time: 0.2822 data_time: 0.0181 memory: 6334 grad_norm: 2.3590 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0820 loss: 3.0820 2022/08/14 08:19:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:19:34 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 7.6750e-02 eta: 2 days, 3:11:58 time: 0.2858 data_time: 0.0173 memory: 6334 grad_norm: 2.4140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1454 loss: 3.1454 2022/08/14 08:20:02 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 7.6750e-02 eta: 2 days, 3:11:30 time: 0.2848 data_time: 0.0182 memory: 6334 grad_norm: 2.5236 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1726 loss: 3.1726 2022/08/14 08:20:31 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 7.6750e-02 eta: 2 days, 3:11:02 time: 0.2831 data_time: 0.0188 memory: 6334 grad_norm: 2.4193 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0676 loss: 3.0676 2022/08/14 08:20:59 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 7.6750e-02 eta: 2 days, 3:10:34 time: 0.2854 data_time: 0.0195 memory: 6334 grad_norm: 2.3647 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3507 loss: 3.3507 2022/08/14 08:21:28 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 7.6750e-02 eta: 2 days, 3:10:07 time: 0.2873 data_time: 0.0211 memory: 6334 grad_norm: 2.4615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2702 loss: 3.2702 2022/08/14 08:21:57 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 7.6750e-02 eta: 2 days, 3:09:39 time: 0.2843 data_time: 0.0179 memory: 6334 grad_norm: 2.4319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0828 loss: 3.0828 2022/08/14 08:22:25 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 7.6750e-02 eta: 2 days, 3:09:11 time: 0.2844 data_time: 0.0182 memory: 6334 grad_norm: 2.4561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2769 loss: 3.2769 2022/08/14 08:22:54 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 7.6750e-02 eta: 2 days, 3:08:43 time: 0.2829 data_time: 0.0167 memory: 6334 grad_norm: 2.4668 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9281 loss: 2.9281 2022/08/14 08:23:23 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 7.6750e-02 eta: 2 days, 3:08:15 time: 0.2852 data_time: 0.0181 memory: 6334 grad_norm: 2.5537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2153 loss: 3.2153 2022/08/14 08:23:51 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 7.6750e-02 eta: 2 days, 3:07:48 time: 0.2848 data_time: 0.0191 memory: 6334 grad_norm: 2.4089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5804 loss: 2.5804 2022/08/14 08:23:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:24:20 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 7.6750e-02 eta: 2 days, 3:07:20 time: 0.2845 data_time: 0.0170 memory: 6334 grad_norm: 2.4534 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0623 loss: 3.0623 2022/08/14 08:24:49 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 7.6750e-02 eta: 2 days, 3:06:52 time: 0.2863 data_time: 0.0180 memory: 6334 grad_norm: 2.4780 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0344 loss: 3.0344 2022/08/14 08:25:17 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 7.6750e-02 eta: 2 days, 3:06:24 time: 0.2847 data_time: 0.0181 memory: 6334 grad_norm: 2.3877 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9651 loss: 2.9651 2022/08/14 08:25:46 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 7.6750e-02 eta: 2 days, 3:05:56 time: 0.2840 data_time: 0.0179 memory: 6334 grad_norm: 2.4834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3937 loss: 3.3937 2022/08/14 08:26:14 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 7.6750e-02 eta: 2 days, 3:05:28 time: 0.2818 data_time: 0.0171 memory: 6334 grad_norm: 2.4464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7472 loss: 2.7472 2022/08/14 08:26:43 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 7.6750e-02 eta: 2 days, 3:05:00 time: 0.2822 data_time: 0.0177 memory: 6334 grad_norm: 2.5019 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9721 loss: 2.9721 2022/08/14 08:27:11 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 7.6750e-02 eta: 2 days, 3:04:32 time: 0.2839 data_time: 0.0178 memory: 6334 grad_norm: 2.4559 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9096 loss: 2.9096 2022/08/14 08:27:40 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 7.6750e-02 eta: 2 days, 3:04:05 time: 0.2869 data_time: 0.0184 memory: 6334 grad_norm: 2.3856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9891 loss: 2.9891 2022/08/14 08:27:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:27:56 - mmengine - INFO - Epoch(train) [83][3757/3757] lr: 7.6750e-02 eta: 2 days, 3:03:54 time: 0.2651 data_time: 0.0154 memory: 6334 grad_norm: 2.4165 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.8520 loss: 2.8520 2022/08/14 08:28:27 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 7.6229e-02 eta: 2 days, 3:03:15 time: 0.2828 data_time: 0.0191 memory: 6334 grad_norm: 2.3883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8118 loss: 2.8118 2022/08/14 08:28:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:28:55 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 7.6229e-02 eta: 2 days, 3:02:47 time: 0.2822 data_time: 0.0200 memory: 6334 grad_norm: 2.4381 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1468 loss: 3.1468 2022/08/14 08:29:24 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 7.6229e-02 eta: 2 days, 3:02:19 time: 0.2826 data_time: 0.0176 memory: 6334 grad_norm: 2.4549 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1924 loss: 3.1924 2022/08/14 08:29:52 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 7.6229e-02 eta: 2 days, 3:01:51 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.4905 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8988 loss: 2.8988 2022/08/14 08:30:21 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 7.6229e-02 eta: 2 days, 3:01:23 time: 0.2824 data_time: 0.0180 memory: 6334 grad_norm: 2.4438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0285 loss: 3.0285 2022/08/14 08:30:49 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 7.6229e-02 eta: 2 days, 3:00:55 time: 0.2832 data_time: 0.0180 memory: 6334 grad_norm: 2.5235 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1024 loss: 3.1024 2022/08/14 08:31:18 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 7.6229e-02 eta: 2 days, 3:00:27 time: 0.2842 data_time: 0.0194 memory: 6334 grad_norm: 2.5042 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3286 loss: 3.3286 2022/08/14 08:31:46 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 7.6229e-02 eta: 2 days, 2:59:59 time: 0.2814 data_time: 0.0172 memory: 6334 grad_norm: 2.4600 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9563 loss: 2.9563 2022/08/14 08:32:15 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 7.6229e-02 eta: 2 days, 2:59:32 time: 0.2822 data_time: 0.0181 memory: 6334 grad_norm: 2.4670 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1342 loss: 3.1342 2022/08/14 08:32:44 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 7.6229e-02 eta: 2 days, 2:59:04 time: 0.2849 data_time: 0.0188 memory: 6334 grad_norm: 2.3930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9326 loss: 2.9326 2022/08/14 08:33:12 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 7.6229e-02 eta: 2 days, 2:58:36 time: 0.2867 data_time: 0.0185 memory: 6334 grad_norm: 2.5420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3880 loss: 3.3880 2022/08/14 08:33:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:33:41 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 7.6229e-02 eta: 2 days, 2:58:08 time: 0.2839 data_time: 0.0184 memory: 6334 grad_norm: 2.5075 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9124 loss: 2.9124 2022/08/14 08:34:09 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 7.6229e-02 eta: 2 days, 2:57:40 time: 0.2828 data_time: 0.0183 memory: 6334 grad_norm: 2.4229 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8747 loss: 2.8747 2022/08/14 08:34:38 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 7.6229e-02 eta: 2 days, 2:57:12 time: 0.2858 data_time: 0.0187 memory: 6334 grad_norm: 2.5028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9711 loss: 2.9711 2022/08/14 08:35:07 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 7.6229e-02 eta: 2 days, 2:56:44 time: 0.2854 data_time: 0.0174 memory: 6334 grad_norm: 2.5176 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9589 loss: 2.9589 2022/08/14 08:35:35 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 7.6229e-02 eta: 2 days, 2:56:16 time: 0.2832 data_time: 0.0196 memory: 6334 grad_norm: 2.4430 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1850 loss: 3.1850 2022/08/14 08:36:04 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 7.6229e-02 eta: 2 days, 2:55:48 time: 0.2836 data_time: 0.0205 memory: 6334 grad_norm: 2.4612 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0791 loss: 3.0791 2022/08/14 08:36:32 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 7.6229e-02 eta: 2 days, 2:55:20 time: 0.2834 data_time: 0.0181 memory: 6334 grad_norm: 2.3631 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0184 loss: 3.0184 2022/08/14 08:37:01 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 7.6229e-02 eta: 2 days, 2:54:52 time: 0.2817 data_time: 0.0183 memory: 6334 grad_norm: 2.4699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8236 loss: 2.8236 2022/08/14 08:37:29 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 7.6229e-02 eta: 2 days, 2:54:24 time: 0.2831 data_time: 0.0178 memory: 6334 grad_norm: 2.4755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9928 loss: 2.9928 2022/08/14 08:37:58 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 7.6229e-02 eta: 2 days, 2:53:56 time: 0.2838 data_time: 0.0179 memory: 6334 grad_norm: 2.3784 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0531 loss: 3.0531 2022/08/14 08:38:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:38:26 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 7.6229e-02 eta: 2 days, 2:53:29 time: 0.2829 data_time: 0.0167 memory: 6334 grad_norm: 2.4566 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3224 loss: 3.3224 2022/08/14 08:38:55 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 7.6229e-02 eta: 2 days, 2:53:01 time: 0.2836 data_time: 0.0178 memory: 6334 grad_norm: 2.4882 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8332 loss: 2.8332 2022/08/14 08:39:24 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 7.6229e-02 eta: 2 days, 2:52:33 time: 0.2857 data_time: 0.0182 memory: 6334 grad_norm: 2.4203 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1288 loss: 3.1288 2022/08/14 08:39:52 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 7.6229e-02 eta: 2 days, 2:52:05 time: 0.2858 data_time: 0.0197 memory: 6334 grad_norm: 2.4775 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8801 loss: 2.8801 2022/08/14 08:40:21 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 7.6229e-02 eta: 2 days, 2:51:38 time: 0.2834 data_time: 0.0179 memory: 6334 grad_norm: 2.4136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7546 loss: 2.7546 2022/08/14 08:40:49 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 7.6229e-02 eta: 2 days, 2:51:10 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.4340 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9086 loss: 2.9086 2022/08/14 08:41:18 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 7.6229e-02 eta: 2 days, 2:50:42 time: 0.2840 data_time: 0.0178 memory: 6334 grad_norm: 2.4078 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7031 loss: 2.7031 2022/08/14 08:41:47 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 7.6229e-02 eta: 2 days, 2:50:14 time: 0.2834 data_time: 0.0183 memory: 6334 grad_norm: 2.4481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0853 loss: 3.0853 2022/08/14 08:42:15 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 7.6229e-02 eta: 2 days, 2:49:46 time: 0.2830 data_time: 0.0177 memory: 6334 grad_norm: 2.4260 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8568 loss: 2.8568 2022/08/14 08:42:44 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 7.6229e-02 eta: 2 days, 2:49:18 time: 0.2837 data_time: 0.0190 memory: 6334 grad_norm: 2.4625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0569 loss: 3.0569 2022/08/14 08:43:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:43:12 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 7.6229e-02 eta: 2 days, 2:48:50 time: 0.2855 data_time: 0.0188 memory: 6334 grad_norm: 2.4097 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2489 loss: 3.2489 2022/08/14 08:43:41 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 7.6229e-02 eta: 2 days, 2:48:22 time: 0.2837 data_time: 0.0185 memory: 6334 grad_norm: 2.4668 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8090 loss: 2.8090 2022/08/14 08:44:10 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 7.6229e-02 eta: 2 days, 2:47:55 time: 0.2846 data_time: 0.0196 memory: 6334 grad_norm: 2.3731 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1115 loss: 3.1115 2022/08/14 08:44:38 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 7.6229e-02 eta: 2 days, 2:47:27 time: 0.2856 data_time: 0.0212 memory: 6334 grad_norm: 2.4795 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1707 loss: 3.1707 2022/08/14 08:45:07 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 7.6229e-02 eta: 2 days, 2:46:59 time: 0.2840 data_time: 0.0172 memory: 6334 grad_norm: 2.4694 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8346 loss: 2.8346 2022/08/14 08:45:35 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 7.6229e-02 eta: 2 days, 2:46:31 time: 0.2839 data_time: 0.0183 memory: 6334 grad_norm: 2.4375 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7122 loss: 2.7122 2022/08/14 08:45:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:45:51 - mmengine - INFO - Epoch(train) [84][3757/3757] lr: 7.6229e-02 eta: 2 days, 2:46:20 time: 0.2633 data_time: 0.0152 memory: 6334 grad_norm: 2.4436 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.8756 loss: 2.8756 2022/08/14 08:45:51 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/14 08:46:25 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 7.5705e-02 eta: 2 days, 2:45:39 time: 0.2828 data_time: 0.0177 memory: 6334 grad_norm: 2.3959 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7927 loss: 2.7927 2022/08/14 08:46:53 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 7.5705e-02 eta: 2 days, 2:45:11 time: 0.2845 data_time: 0.0183 memory: 6334 grad_norm: 2.4907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7311 loss: 2.7311 2022/08/14 08:47:22 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 7.5705e-02 eta: 2 days, 2:44:43 time: 0.2839 data_time: 0.0190 memory: 6334 grad_norm: 2.3971 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9959 loss: 2.9959 2022/08/14 08:47:50 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 7.5705e-02 eta: 2 days, 2:44:16 time: 0.2845 data_time: 0.0174 memory: 6334 grad_norm: 2.4816 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1309 loss: 3.1309 2022/08/14 08:47:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:48:19 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 7.5705e-02 eta: 2 days, 2:43:48 time: 0.2826 data_time: 0.0177 memory: 6334 grad_norm: 2.3886 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0247 loss: 3.0247 2022/08/14 08:48:48 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 7.5705e-02 eta: 2 days, 2:43:20 time: 0.2834 data_time: 0.0182 memory: 6334 grad_norm: 2.5130 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0829 loss: 3.0829 2022/08/14 08:49:16 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 7.5705e-02 eta: 2 days, 2:42:52 time: 0.2829 data_time: 0.0175 memory: 6334 grad_norm: 2.5260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1329 loss: 3.1329 2022/08/14 08:49:45 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 7.5705e-02 eta: 2 days, 2:42:24 time: 0.2850 data_time: 0.0178 memory: 6334 grad_norm: 2.4260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2343 loss: 3.2343 2022/08/14 08:50:13 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 7.5705e-02 eta: 2 days, 2:41:56 time: 0.2837 data_time: 0.0191 memory: 6334 grad_norm: 2.5358 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0072 loss: 3.0072 2022/08/14 08:50:42 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 7.5705e-02 eta: 2 days, 2:41:28 time: 0.2856 data_time: 0.0215 memory: 6334 grad_norm: 2.4354 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8680 loss: 2.8680 2022/08/14 08:51:10 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 7.5705e-02 eta: 2 days, 2:41:00 time: 0.2831 data_time: 0.0172 memory: 6334 grad_norm: 2.4820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1724 loss: 3.1724 2022/08/14 08:51:39 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 7.5705e-02 eta: 2 days, 2:40:32 time: 0.2823 data_time: 0.0167 memory: 6334 grad_norm: 2.3997 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9565 loss: 2.9565 2022/08/14 08:52:08 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 7.5705e-02 eta: 2 days, 2:40:04 time: 0.2839 data_time: 0.0189 memory: 6334 grad_norm: 2.4443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1676 loss: 3.1676 2022/08/14 08:52:36 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 7.5705e-02 eta: 2 days, 2:39:36 time: 0.2832 data_time: 0.0179 memory: 6334 grad_norm: 2.3979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7920 loss: 2.7920 2022/08/14 08:52:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:53:05 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 7.5705e-02 eta: 2 days, 2:39:08 time: 0.2837 data_time: 0.0181 memory: 6334 grad_norm: 2.4317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2814 loss: 3.2814 2022/08/14 08:53:33 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 7.5705e-02 eta: 2 days, 2:38:40 time: 0.2841 data_time: 0.0199 memory: 6334 grad_norm: 2.3887 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9899 loss: 2.9899 2022/08/14 08:54:02 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 7.5705e-02 eta: 2 days, 2:38:12 time: 0.2872 data_time: 0.0193 memory: 6334 grad_norm: 2.4970 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9225 loss: 2.9225 2022/08/14 08:54:30 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 7.5705e-02 eta: 2 days, 2:37:45 time: 0.2831 data_time: 0.0176 memory: 6334 grad_norm: 2.4809 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9378 loss: 2.9378 2022/08/14 08:54:59 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 7.5705e-02 eta: 2 days, 2:37:17 time: 0.2834 data_time: 0.0184 memory: 6334 grad_norm: 2.4536 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1325 loss: 3.1325 2022/08/14 08:55:28 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 7.5705e-02 eta: 2 days, 2:36:49 time: 0.2846 data_time: 0.0181 memory: 6334 grad_norm: 2.4787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2263 loss: 3.2263 2022/08/14 08:55:56 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 7.5705e-02 eta: 2 days, 2:36:21 time: 0.2826 data_time: 0.0179 memory: 6334 grad_norm: 2.4371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1085 loss: 3.1085 2022/08/14 08:56:25 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 7.5705e-02 eta: 2 days, 2:35:54 time: 0.2872 data_time: 0.0196 memory: 6334 grad_norm: 2.4973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1172 loss: 3.1172 2022/08/14 08:56:53 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 7.5705e-02 eta: 2 days, 2:35:26 time: 0.2823 data_time: 0.0174 memory: 6334 grad_norm: 2.4859 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9790 loss: 2.9790 2022/08/14 08:57:22 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 7.5705e-02 eta: 2 days, 2:34:57 time: 0.2864 data_time: 0.0184 memory: 6334 grad_norm: 2.4188 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1457 loss: 3.1457 2022/08/14 08:57:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 08:57:51 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 7.5705e-02 eta: 2 days, 2:34:30 time: 0.2901 data_time: 0.0189 memory: 6334 grad_norm: 2.4445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0416 loss: 3.0416 2022/08/14 08:58:19 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 7.5705e-02 eta: 2 days, 2:34:02 time: 0.2836 data_time: 0.0190 memory: 6334 grad_norm: 2.4678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1936 loss: 3.1936 2022/08/14 08:58:48 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 7.5705e-02 eta: 2 days, 2:33:34 time: 0.2829 data_time: 0.0181 memory: 6334 grad_norm: 2.4849 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0828 loss: 3.0828 2022/08/14 08:59:16 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 7.5705e-02 eta: 2 days, 2:33:06 time: 0.2855 data_time: 0.0179 memory: 6334 grad_norm: 2.4505 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1020 loss: 3.1020 2022/08/14 08:59:45 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 7.5705e-02 eta: 2 days, 2:32:38 time: 0.2831 data_time: 0.0190 memory: 6334 grad_norm: 2.4501 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8432 loss: 2.8432 2022/08/14 09:00:14 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 7.5705e-02 eta: 2 days, 2:32:10 time: 0.2846 data_time: 0.0193 memory: 6334 grad_norm: 2.3818 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0457 loss: 3.0457 2022/08/14 09:00:42 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 7.5705e-02 eta: 2 days, 2:31:42 time: 0.2830 data_time: 0.0180 memory: 6334 grad_norm: 2.3832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7621 loss: 2.7621 2022/08/14 09:01:10 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 7.5705e-02 eta: 2 days, 2:31:14 time: 0.2828 data_time: 0.0191 memory: 6334 grad_norm: 2.4612 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2812 loss: 3.2812 2022/08/14 09:01:39 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 7.5705e-02 eta: 2 days, 2:30:46 time: 0.2829 data_time: 0.0183 memory: 6334 grad_norm: 2.5082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1283 loss: 3.1283 2022/08/14 09:02:08 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 7.5705e-02 eta: 2 days, 2:30:18 time: 0.2812 data_time: 0.0174 memory: 6334 grad_norm: 2.4380 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9087 loss: 2.9087 2022/08/14 09:02:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:02:36 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 7.5705e-02 eta: 2 days, 2:29:50 time: 0.2830 data_time: 0.0198 memory: 6334 grad_norm: 2.4469 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0034 loss: 3.0034 2022/08/14 09:03:05 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 7.5705e-02 eta: 2 days, 2:29:22 time: 0.2841 data_time: 0.0189 memory: 6334 grad_norm: 2.3915 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0148 loss: 3.0148 2022/08/14 09:03:33 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 7.5705e-02 eta: 2 days, 2:28:54 time: 0.2832 data_time: 0.0184 memory: 6334 grad_norm: 2.4199 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1827 loss: 3.1827 2022/08/14 09:03:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:03:49 - mmengine - INFO - Epoch(train) [85][3757/3757] lr: 7.5705e-02 eta: 2 days, 2:28:43 time: 0.2618 data_time: 0.0147 memory: 6334 grad_norm: 2.5523 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.1138 loss: 3.1138 2022/08/14 09:04:11 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:00:46 time: 0.2199 data_time: 0.1225 memory: 1152 2022/08/14 09:04:32 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:00:20 time: 0.1843 data_time: 0.0881 memory: 1152 2022/08/14 09:04:53 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:02 time: 0.2201 data_time: 0.1235 memory: 1152 2022/08/14 09:04:57 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.3923 acc/top5: 0.6735 acc/mean1: 0.3922 2022/08/14 09:05:28 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 7.5177e-02 eta: 2 days, 2:28:04 time: 0.2824 data_time: 0.0172 memory: 6334 grad_norm: 2.5115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8438 loss: 2.8438 2022/08/14 09:05:56 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 7.5177e-02 eta: 2 days, 2:27:36 time: 0.2941 data_time: 0.0186 memory: 6334 grad_norm: 2.5106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9080 loss: 2.9080 2022/08/14 09:06:25 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 7.5177e-02 eta: 2 days, 2:27:08 time: 0.2883 data_time: 0.0177 memory: 6334 grad_norm: 2.5087 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2954 loss: 3.2954 2022/08/14 09:06:54 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 7.5177e-02 eta: 2 days, 2:26:40 time: 0.2836 data_time: 0.0181 memory: 6334 grad_norm: 2.4497 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8416 loss: 2.8416 2022/08/14 09:07:22 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 7.5177e-02 eta: 2 days, 2:26:13 time: 0.2858 data_time: 0.0189 memory: 6334 grad_norm: 2.5052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6445 loss: 2.6445 2022/08/14 09:07:51 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 7.5177e-02 eta: 2 days, 2:25:44 time: 0.2826 data_time: 0.0174 memory: 6334 grad_norm: 2.4188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7411 loss: 2.7411 2022/08/14 09:08:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:08:19 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 7.5177e-02 eta: 2 days, 2:25:16 time: 0.2808 data_time: 0.0169 memory: 6334 grad_norm: 2.4043 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1128 loss: 3.1128 2022/08/14 09:08:47 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 7.5177e-02 eta: 2 days, 2:24:48 time: 0.2822 data_time: 0.0183 memory: 6334 grad_norm: 2.4448 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2253 loss: 3.2253 2022/08/14 09:09:16 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 7.5177e-02 eta: 2 days, 2:24:20 time: 0.2823 data_time: 0.0173 memory: 6334 grad_norm: 2.5097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9009 loss: 2.9009 2022/08/14 09:09:45 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 7.5177e-02 eta: 2 days, 2:23:52 time: 0.2877 data_time: 0.0183 memory: 6334 grad_norm: 2.5054 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3314 loss: 3.3314 2022/08/14 09:10:13 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 7.5177e-02 eta: 2 days, 2:23:24 time: 0.2847 data_time: 0.0177 memory: 6334 grad_norm: 2.5219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9622 loss: 2.9622 2022/08/14 09:10:42 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 7.5177e-02 eta: 2 days, 2:22:56 time: 0.2829 data_time: 0.0176 memory: 6334 grad_norm: 2.5083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9896 loss: 2.9896 2022/08/14 09:11:10 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 7.5177e-02 eta: 2 days, 2:22:29 time: 0.2808 data_time: 0.0176 memory: 6334 grad_norm: 2.4437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1090 loss: 3.1090 2022/08/14 09:11:39 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 7.5177e-02 eta: 2 days, 2:22:01 time: 0.2825 data_time: 0.0168 memory: 6334 grad_norm: 2.4641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0400 loss: 3.0400 2022/08/14 09:12:08 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 7.5177e-02 eta: 2 days, 2:21:33 time: 0.2816 data_time: 0.0180 memory: 6334 grad_norm: 2.5116 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.2059 loss: 3.2059 2022/08/14 09:12:36 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 7.5177e-02 eta: 2 days, 2:21:05 time: 0.2846 data_time: 0.0174 memory: 6334 grad_norm: 2.4850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7907 loss: 2.7907 2022/08/14 09:12:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:13:05 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 7.5177e-02 eta: 2 days, 2:20:37 time: 0.2844 data_time: 0.0160 memory: 6334 grad_norm: 2.4296 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9873 loss: 2.9873 2022/08/14 09:13:33 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 7.5177e-02 eta: 2 days, 2:20:09 time: 0.2847 data_time: 0.0181 memory: 6334 grad_norm: 2.4544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9983 loss: 2.9983 2022/08/14 09:14:02 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 7.5177e-02 eta: 2 days, 2:19:41 time: 0.2834 data_time: 0.0184 memory: 6334 grad_norm: 2.4566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8922 loss: 2.8922 2022/08/14 09:14:30 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 7.5177e-02 eta: 2 days, 2:19:13 time: 0.2819 data_time: 0.0180 memory: 6334 grad_norm: 2.4846 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3815 loss: 3.3815 2022/08/14 09:14:59 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 7.5177e-02 eta: 2 days, 2:18:45 time: 0.2819 data_time: 0.0170 memory: 6334 grad_norm: 2.4814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8690 loss: 2.8690 2022/08/14 09:15:27 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 7.5177e-02 eta: 2 days, 2:18:17 time: 0.2876 data_time: 0.0225 memory: 6334 grad_norm: 2.4229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7666 loss: 2.7666 2022/08/14 09:15:56 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 7.5177e-02 eta: 2 days, 2:17:49 time: 0.2833 data_time: 0.0181 memory: 6334 grad_norm: 2.4090 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8113 loss: 2.8113 2022/08/14 09:16:25 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 7.5177e-02 eta: 2 days, 2:17:21 time: 0.2856 data_time: 0.0178 memory: 6334 grad_norm: 2.4459 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1979 loss: 3.1979 2022/08/14 09:16:53 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 7.5177e-02 eta: 2 days, 2:16:53 time: 0.2834 data_time: 0.0178 memory: 6334 grad_norm: 2.4421 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0727 loss: 3.0727 2022/08/14 09:17:22 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 7.5177e-02 eta: 2 days, 2:16:26 time: 0.2825 data_time: 0.0180 memory: 6334 grad_norm: 2.4332 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0413 loss: 3.0413 2022/08/14 09:17:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:17:50 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 7.5177e-02 eta: 2 days, 2:15:58 time: 0.2842 data_time: 0.0191 memory: 6334 grad_norm: 2.3586 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8896 loss: 2.8896 2022/08/14 09:18:19 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 7.5177e-02 eta: 2 days, 2:15:29 time: 0.2830 data_time: 0.0178 memory: 6334 grad_norm: 2.4656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1678 loss: 3.1678 2022/08/14 09:18:48 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 7.5177e-02 eta: 2 days, 2:15:02 time: 0.2894 data_time: 0.0227 memory: 6334 grad_norm: 2.4784 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8658 loss: 2.8658 2022/08/14 09:19:16 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 7.5177e-02 eta: 2 days, 2:14:34 time: 0.2838 data_time: 0.0181 memory: 6334 grad_norm: 2.4797 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8104 loss: 2.8104 2022/08/14 09:19:45 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 7.5177e-02 eta: 2 days, 2:14:06 time: 0.2878 data_time: 0.0190 memory: 6334 grad_norm: 2.4889 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1047 loss: 3.1047 2022/08/14 09:20:13 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 7.5177e-02 eta: 2 days, 2:13:38 time: 0.2829 data_time: 0.0182 memory: 6334 grad_norm: 2.3540 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0629 loss: 3.0629 2022/08/14 09:20:42 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 7.5177e-02 eta: 2 days, 2:13:10 time: 0.2844 data_time: 0.0187 memory: 6334 grad_norm: 2.4711 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1057 loss: 3.1057 2022/08/14 09:21:10 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 7.5177e-02 eta: 2 days, 2:12:42 time: 0.2834 data_time: 0.0173 memory: 6334 grad_norm: 2.4473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8394 loss: 2.8394 2022/08/14 09:21:39 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 7.5177e-02 eta: 2 days, 2:12:14 time: 0.2837 data_time: 0.0175 memory: 6334 grad_norm: 2.4711 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1369 loss: 3.1369 2022/08/14 09:22:07 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 7.5177e-02 eta: 2 days, 2:11:46 time: 0.2829 data_time: 0.0176 memory: 6334 grad_norm: 2.4733 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0203 loss: 3.0203 2022/08/14 09:22:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:22:36 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 7.5177e-02 eta: 2 days, 2:11:18 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.4133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8513 loss: 2.8513 2022/08/14 09:22:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:22:52 - mmengine - INFO - Epoch(train) [86][3757/3757] lr: 7.5177e-02 eta: 2 days, 2:11:07 time: 0.2640 data_time: 0.0155 memory: 6334 grad_norm: 2.3968 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7957 loss: 2.7957 2022/08/14 09:23:22 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 7.4645e-02 eta: 2 days, 2:10:28 time: 0.2847 data_time: 0.0183 memory: 6334 grad_norm: 2.4147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6997 loss: 2.6997 2022/08/14 09:23:51 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 7.4645e-02 eta: 2 days, 2:10:00 time: 0.2820 data_time: 0.0177 memory: 6334 grad_norm: 2.5113 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9893 loss: 2.9893 2022/08/14 09:24:20 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 7.4645e-02 eta: 2 days, 2:09:32 time: 0.2858 data_time: 0.0178 memory: 6334 grad_norm: 2.3816 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8245 loss: 2.8245 2022/08/14 09:24:48 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 7.4645e-02 eta: 2 days, 2:09:04 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.4942 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0471 loss: 3.0471 2022/08/14 09:25:17 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 7.4645e-02 eta: 2 days, 2:08:37 time: 0.2857 data_time: 0.0187 memory: 6334 grad_norm: 2.4366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9866 loss: 2.9866 2022/08/14 09:25:45 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 7.4645e-02 eta: 2 days, 2:08:09 time: 0.2831 data_time: 0.0187 memory: 6334 grad_norm: 2.4615 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0543 loss: 3.0543 2022/08/14 09:26:14 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 7.4645e-02 eta: 2 days, 2:07:41 time: 0.2884 data_time: 0.0183 memory: 6334 grad_norm: 2.4562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0399 loss: 3.0399 2022/08/14 09:26:42 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 7.4645e-02 eta: 2 days, 2:07:12 time: 0.2840 data_time: 0.0176 memory: 6334 grad_norm: 2.3955 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0609 loss: 3.0609 2022/08/14 09:27:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:27:11 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 7.4645e-02 eta: 2 days, 2:06:45 time: 0.2827 data_time: 0.0212 memory: 6334 grad_norm: 2.4807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9850 loss: 2.9850 2022/08/14 09:27:39 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 7.4645e-02 eta: 2 days, 2:06:17 time: 0.2847 data_time: 0.0188 memory: 6334 grad_norm: 2.4348 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2000 loss: 3.2000 2022/08/14 09:28:08 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 7.4645e-02 eta: 2 days, 2:05:49 time: 0.2839 data_time: 0.0194 memory: 6334 grad_norm: 2.3857 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0680 loss: 3.0680 2022/08/14 09:28:36 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 7.4645e-02 eta: 2 days, 2:05:21 time: 0.2866 data_time: 0.0187 memory: 6334 grad_norm: 2.4917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8901 loss: 2.8901 2022/08/14 09:29:05 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 7.4645e-02 eta: 2 days, 2:04:53 time: 0.2839 data_time: 0.0195 memory: 6334 grad_norm: 2.4975 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1013 loss: 3.1013 2022/08/14 09:29:34 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 7.4645e-02 eta: 2 days, 2:04:25 time: 0.2834 data_time: 0.0194 memory: 6334 grad_norm: 2.4810 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1082 loss: 3.1082 2022/08/14 09:30:02 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 7.4645e-02 eta: 2 days, 2:03:57 time: 0.2826 data_time: 0.0162 memory: 6334 grad_norm: 2.4215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0556 loss: 3.0556 2022/08/14 09:30:31 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 7.4645e-02 eta: 2 days, 2:03:30 time: 0.2818 data_time: 0.0172 memory: 6334 grad_norm: 2.4655 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1311 loss: 3.1311 2022/08/14 09:31:00 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 7.4645e-02 eta: 2 days, 2:03:02 time: 0.2865 data_time: 0.0187 memory: 6334 grad_norm: 2.4719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0080 loss: 3.0080 2022/08/14 09:31:28 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 7.4645e-02 eta: 2 days, 2:02:34 time: 0.2865 data_time: 0.0189 memory: 6334 grad_norm: 2.5155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6984 loss: 2.6984 2022/08/14 09:31:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:31:57 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 7.4645e-02 eta: 2 days, 2:02:06 time: 0.2863 data_time: 0.0192 memory: 6334 grad_norm: 2.3986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9990 loss: 2.9990 2022/08/14 09:32:26 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 7.4645e-02 eta: 2 days, 2:01:39 time: 0.2844 data_time: 0.0184 memory: 6334 grad_norm: 2.5147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0917 loss: 3.0917 2022/08/14 09:32:54 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 7.4645e-02 eta: 2 days, 2:01:11 time: 0.2847 data_time: 0.0198 memory: 6334 grad_norm: 2.4821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3065 loss: 3.3065 2022/08/14 09:33:23 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 7.4645e-02 eta: 2 days, 2:00:43 time: 0.2824 data_time: 0.0187 memory: 6334 grad_norm: 2.4360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2315 loss: 3.2315 2022/08/14 09:33:52 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 7.4645e-02 eta: 2 days, 2:00:15 time: 0.2841 data_time: 0.0192 memory: 6334 grad_norm: 2.5155 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3415 loss: 3.3415 2022/08/14 09:34:20 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 7.4645e-02 eta: 2 days, 1:59:47 time: 0.2862 data_time: 0.0167 memory: 6334 grad_norm: 2.5645 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0142 loss: 3.0142 2022/08/14 09:34:49 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 7.4645e-02 eta: 2 days, 1:59:19 time: 0.2852 data_time: 0.0179 memory: 6334 grad_norm: 2.5351 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0578 loss: 3.0578 2022/08/14 09:35:18 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 7.4645e-02 eta: 2 days, 1:58:52 time: 0.2855 data_time: 0.0180 memory: 6334 grad_norm: 2.4593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9240 loss: 2.9240 2022/08/14 09:35:46 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 7.4645e-02 eta: 2 days, 1:58:24 time: 0.2838 data_time: 0.0182 memory: 6334 grad_norm: 2.4469 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1052 loss: 3.1052 2022/08/14 09:36:15 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 7.4645e-02 eta: 2 days, 1:57:56 time: 0.2829 data_time: 0.0173 memory: 6334 grad_norm: 2.5148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3689 loss: 3.3689 2022/08/14 09:36:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:36:44 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 7.4645e-02 eta: 2 days, 1:57:28 time: 0.2844 data_time: 0.0186 memory: 6334 grad_norm: 2.4959 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7176 loss: 2.7176 2022/08/14 09:37:12 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 7.4645e-02 eta: 2 days, 1:57:01 time: 0.2846 data_time: 0.0182 memory: 6334 grad_norm: 2.4809 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8384 loss: 2.8384 2022/08/14 09:37:41 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 7.4645e-02 eta: 2 days, 1:56:33 time: 0.2835 data_time: 0.0189 memory: 6334 grad_norm: 2.4797 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1124 loss: 3.1124 2022/08/14 09:38:09 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 7.4645e-02 eta: 2 days, 1:56:05 time: 0.2854 data_time: 0.0196 memory: 6334 grad_norm: 2.4481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1254 loss: 3.1254 2022/08/14 09:38:38 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 7.4645e-02 eta: 2 days, 1:55:37 time: 0.2844 data_time: 0.0189 memory: 6334 grad_norm: 2.4729 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9447 loss: 2.9447 2022/08/14 09:39:07 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 7.4645e-02 eta: 2 days, 1:55:09 time: 0.2905 data_time: 0.0192 memory: 6334 grad_norm: 2.4798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2974 loss: 3.2974 2022/08/14 09:39:35 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 7.4645e-02 eta: 2 days, 1:54:41 time: 0.2850 data_time: 0.0186 memory: 6334 grad_norm: 2.4381 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0639 loss: 3.0639 2022/08/14 09:40:04 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 7.4645e-02 eta: 2 days, 1:54:13 time: 0.2825 data_time: 0.0188 memory: 6334 grad_norm: 2.4037 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1766 loss: 3.1766 2022/08/14 09:40:32 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 7.4645e-02 eta: 2 days, 1:53:45 time: 0.2830 data_time: 0.0177 memory: 6334 grad_norm: 2.4250 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8903 loss: 2.8903 2022/08/14 09:40:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:40:48 - mmengine - INFO - Epoch(train) [87][3757/3757] lr: 7.4645e-02 eta: 2 days, 1:53:34 time: 0.2635 data_time: 0.0162 memory: 6334 grad_norm: 2.4789 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 2.9250 loss: 2.9250 2022/08/14 09:41:19 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 7.4109e-02 eta: 2 days, 1:52:56 time: 0.2850 data_time: 0.0191 memory: 6334 grad_norm: 2.4318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9979 loss: 2.9979 2022/08/14 09:41:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:41:47 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 7.4109e-02 eta: 2 days, 1:52:28 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.5350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0185 loss: 3.0185 2022/08/14 09:42:16 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 7.4109e-02 eta: 2 days, 1:52:00 time: 0.2825 data_time: 0.0181 memory: 6334 grad_norm: 2.4443 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9153 loss: 2.9153 2022/08/14 09:42:45 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 7.4109e-02 eta: 2 days, 1:51:32 time: 0.2824 data_time: 0.0185 memory: 6334 grad_norm: 2.4743 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9453 loss: 2.9453 2022/08/14 09:43:13 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 7.4109e-02 eta: 2 days, 1:51:05 time: 0.2856 data_time: 0.0180 memory: 6334 grad_norm: 2.5364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4086 loss: 3.4086 2022/08/14 09:43:42 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 7.4109e-02 eta: 2 days, 1:50:37 time: 0.2840 data_time: 0.0199 memory: 6334 grad_norm: 2.4834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0506 loss: 3.0506 2022/08/14 09:44:11 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 7.4109e-02 eta: 2 days, 1:50:09 time: 0.2827 data_time: 0.0184 memory: 6334 grad_norm: 2.4712 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0239 loss: 3.0239 2022/08/14 09:44:39 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 7.4109e-02 eta: 2 days, 1:49:41 time: 0.2905 data_time: 0.0188 memory: 6334 grad_norm: 2.4538 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8208 loss: 2.8208 2022/08/14 09:45:08 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 7.4109e-02 eta: 2 days, 1:49:13 time: 0.2845 data_time: 0.0181 memory: 6334 grad_norm: 2.4955 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2578 loss: 3.2578 2022/08/14 09:45:37 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 7.4109e-02 eta: 2 days, 1:48:46 time: 0.2871 data_time: 0.0185 memory: 6334 grad_norm: 2.5303 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9607 loss: 2.9607 2022/08/14 09:46:05 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 7.4109e-02 eta: 2 days, 1:48:18 time: 0.2821 data_time: 0.0184 memory: 6334 grad_norm: 2.4470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0633 loss: 3.0633 2022/08/14 09:46:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:46:34 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 7.4109e-02 eta: 2 days, 1:47:50 time: 0.2813 data_time: 0.0171 memory: 6334 grad_norm: 2.4777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9947 loss: 2.9947 2022/08/14 09:47:02 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 7.4109e-02 eta: 2 days, 1:47:22 time: 0.2845 data_time: 0.0182 memory: 6334 grad_norm: 2.5039 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1727 loss: 3.1727 2022/08/14 09:47:31 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 7.4109e-02 eta: 2 days, 1:46:54 time: 0.2822 data_time: 0.0178 memory: 6334 grad_norm: 2.4792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0116 loss: 3.0116 2022/08/14 09:48:00 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 7.4109e-02 eta: 2 days, 1:46:26 time: 0.2861 data_time: 0.0204 memory: 6334 grad_norm: 2.4985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0178 loss: 3.0178 2022/08/14 09:48:28 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 7.4109e-02 eta: 2 days, 1:45:58 time: 0.2833 data_time: 0.0184 memory: 6334 grad_norm: 2.4597 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.2589 loss: 3.2589 2022/08/14 09:48:57 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 7.4109e-02 eta: 2 days, 1:45:30 time: 0.2839 data_time: 0.0189 memory: 6334 grad_norm: 2.4888 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3077 loss: 3.3077 2022/08/14 09:49:25 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 7.4109e-02 eta: 2 days, 1:45:02 time: 0.2831 data_time: 0.0180 memory: 6334 grad_norm: 2.5155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0500 loss: 3.0500 2022/08/14 09:49:54 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 7.4109e-02 eta: 2 days, 1:44:34 time: 0.2836 data_time: 0.0185 memory: 6334 grad_norm: 2.4635 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0401 loss: 3.0401 2022/08/14 09:50:23 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 7.4109e-02 eta: 2 days, 1:44:06 time: 0.2843 data_time: 0.0171 memory: 6334 grad_norm: 2.4813 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2117 loss: 3.2117 2022/08/14 09:50:51 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 7.4109e-02 eta: 2 days, 1:43:39 time: 0.2818 data_time: 0.0178 memory: 6334 grad_norm: 2.5157 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8343 loss: 2.8343 2022/08/14 09:51:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:51:20 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 7.4109e-02 eta: 2 days, 1:43:11 time: 0.2885 data_time: 0.0191 memory: 6334 grad_norm: 2.4369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7880 loss: 2.7880 2022/08/14 09:51:49 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 7.4109e-02 eta: 2 days, 1:42:43 time: 0.2843 data_time: 0.0182 memory: 6334 grad_norm: 2.5395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9512 loss: 2.9512 2022/08/14 09:52:17 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 7.4109e-02 eta: 2 days, 1:42:15 time: 0.2873 data_time: 0.0186 memory: 6334 grad_norm: 2.4739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1985 loss: 3.1985 2022/08/14 09:52:46 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 7.4109e-02 eta: 2 days, 1:41:47 time: 0.2828 data_time: 0.0173 memory: 6334 grad_norm: 2.5397 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8621 loss: 2.8621 2022/08/14 09:53:14 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 7.4109e-02 eta: 2 days, 1:41:20 time: 0.2825 data_time: 0.0187 memory: 6334 grad_norm: 2.5648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8724 loss: 2.8724 2022/08/14 09:53:43 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 7.4109e-02 eta: 2 days, 1:40:51 time: 0.2835 data_time: 0.0184 memory: 6334 grad_norm: 2.5020 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3048 loss: 3.3048 2022/08/14 09:54:11 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 7.4109e-02 eta: 2 days, 1:40:24 time: 0.2829 data_time: 0.0185 memory: 6334 grad_norm: 2.5018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9516 loss: 2.9516 2022/08/14 09:54:40 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 7.4109e-02 eta: 2 days, 1:39:56 time: 0.2880 data_time: 0.0198 memory: 6334 grad_norm: 2.4814 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8966 loss: 2.8966 2022/08/14 09:55:09 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 7.4109e-02 eta: 2 days, 1:39:28 time: 0.2841 data_time: 0.0182 memory: 6334 grad_norm: 2.4412 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0439 loss: 3.0439 2022/08/14 09:55:37 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 7.4109e-02 eta: 2 days, 1:39:00 time: 0.2948 data_time: 0.0203 memory: 6334 grad_norm: 2.5334 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9863 loss: 2.9863 2022/08/14 09:55:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:56:06 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 7.4109e-02 eta: 2 days, 1:38:32 time: 0.2856 data_time: 0.0182 memory: 6334 grad_norm: 2.4372 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4371 loss: 3.4371 2022/08/14 09:56:35 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 7.4109e-02 eta: 2 days, 1:38:05 time: 0.2863 data_time: 0.0198 memory: 6334 grad_norm: 2.4155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9086 loss: 2.9086 2022/08/14 09:57:04 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 7.4109e-02 eta: 2 days, 1:37:37 time: 0.2836 data_time: 0.0183 memory: 6334 grad_norm: 2.5167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9837 loss: 2.9837 2022/08/14 09:57:32 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 7.4109e-02 eta: 2 days, 1:37:09 time: 0.2836 data_time: 0.0193 memory: 6334 grad_norm: 2.5097 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2087 loss: 3.2087 2022/08/14 09:58:01 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 7.4109e-02 eta: 2 days, 1:36:41 time: 0.2846 data_time: 0.0190 memory: 6334 grad_norm: 2.4471 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2692 loss: 3.2692 2022/08/14 09:58:29 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 7.4109e-02 eta: 2 days, 1:36:13 time: 0.2850 data_time: 0.0219 memory: 6334 grad_norm: 2.4740 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8884 loss: 2.8884 2022/08/14 09:58:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 09:58:45 - mmengine - INFO - Epoch(train) [88][3757/3757] lr: 7.4109e-02 eta: 2 days, 1:36:02 time: 0.2614 data_time: 0.0155 memory: 6334 grad_norm: 2.4967 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.9125 loss: 2.9125 2022/08/14 09:58:45 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/14 09:59:19 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 7.3570e-02 eta: 2 days, 1:35:23 time: 0.2870 data_time: 0.0185 memory: 6334 grad_norm: 2.4677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9572 loss: 2.9572 2022/08/14 09:59:48 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 7.3570e-02 eta: 2 days, 1:34:55 time: 0.2850 data_time: 0.0188 memory: 6334 grad_norm: 2.4229 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0357 loss: 3.0357 2022/08/14 10:00:17 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 7.3570e-02 eta: 2 days, 1:34:27 time: 0.2934 data_time: 0.0169 memory: 6334 grad_norm: 2.4929 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9922 loss: 2.9922 2022/08/14 10:00:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:00:45 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 7.3570e-02 eta: 2 days, 1:34:00 time: 0.2844 data_time: 0.0185 memory: 6334 grad_norm: 2.5903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1826 loss: 3.1826 2022/08/14 10:01:14 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 7.3570e-02 eta: 2 days, 1:33:32 time: 0.2826 data_time: 0.0169 memory: 6334 grad_norm: 2.4868 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9985 loss: 2.9985 2022/08/14 10:01:43 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 7.3570e-02 eta: 2 days, 1:33:05 time: 0.2835 data_time: 0.0180 memory: 6334 grad_norm: 2.4382 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2193 loss: 3.2193 2022/08/14 10:02:12 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 7.3570e-02 eta: 2 days, 1:32:37 time: 0.2851 data_time: 0.0183 memory: 6334 grad_norm: 2.5265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.1466 loss: 3.1466 2022/08/14 10:02:40 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 7.3570e-02 eta: 2 days, 1:32:09 time: 0.2857 data_time: 0.0196 memory: 6334 grad_norm: 2.4906 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0476 loss: 3.0476 2022/08/14 10:03:09 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 7.3570e-02 eta: 2 days, 1:31:41 time: 0.2823 data_time: 0.0177 memory: 6334 grad_norm: 2.4501 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0746 loss: 3.0746 2022/08/14 10:03:37 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 7.3570e-02 eta: 2 days, 1:31:13 time: 0.2836 data_time: 0.0194 memory: 6334 grad_norm: 2.4541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9213 loss: 2.9213 2022/08/14 10:04:06 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 7.3570e-02 eta: 2 days, 1:30:45 time: 0.2829 data_time: 0.0179 memory: 6334 grad_norm: 2.4517 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0576 loss: 3.0576 2022/08/14 10:04:34 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 7.3570e-02 eta: 2 days, 1:30:17 time: 0.2832 data_time: 0.0177 memory: 6334 grad_norm: 2.4252 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9762 loss: 2.9762 2022/08/14 10:05:03 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 7.3570e-02 eta: 2 days, 1:29:50 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.5732 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8325 loss: 2.8325 2022/08/14 10:05:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:05:32 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 7.3570e-02 eta: 2 days, 1:29:22 time: 0.2838 data_time: 0.0188 memory: 6334 grad_norm: 2.5057 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7972 loss: 2.7972 2022/08/14 10:06:01 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 7.3570e-02 eta: 2 days, 1:28:54 time: 0.2870 data_time: 0.0189 memory: 6334 grad_norm: 2.5087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1582 loss: 3.1582 2022/08/14 10:06:29 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 7.3570e-02 eta: 2 days, 1:28:26 time: 0.2836 data_time: 0.0178 memory: 6334 grad_norm: 2.4916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1281 loss: 3.1281 2022/08/14 10:06:58 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 7.3570e-02 eta: 2 days, 1:27:59 time: 0.2867 data_time: 0.0179 memory: 6334 grad_norm: 2.4792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1749 loss: 3.1749 2022/08/14 10:07:27 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 7.3570e-02 eta: 2 days, 1:27:31 time: 0.2851 data_time: 0.0201 memory: 6334 grad_norm: 2.4820 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2245 loss: 3.2245 2022/08/14 10:07:55 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 7.3570e-02 eta: 2 days, 1:27:03 time: 0.2823 data_time: 0.0165 memory: 6334 grad_norm: 2.4704 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1398 loss: 3.1398 2022/08/14 10:08:24 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 7.3570e-02 eta: 2 days, 1:26:35 time: 0.2836 data_time: 0.0184 memory: 6334 grad_norm: 2.4718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0716 loss: 3.0716 2022/08/14 10:08:53 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 7.3570e-02 eta: 2 days, 1:26:08 time: 0.2857 data_time: 0.0179 memory: 6334 grad_norm: 2.5038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9575 loss: 2.9575 2022/08/14 10:09:21 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 7.3570e-02 eta: 2 days, 1:25:40 time: 0.2875 data_time: 0.0171 memory: 6334 grad_norm: 2.4543 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3648 loss: 3.3648 2022/08/14 10:09:50 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 7.3570e-02 eta: 2 days, 1:25:12 time: 0.2839 data_time: 0.0187 memory: 6334 grad_norm: 2.4501 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9289 loss: 2.9289 2022/08/14 10:10:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:10:19 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 7.3570e-02 eta: 2 days, 1:24:44 time: 0.2908 data_time: 0.0182 memory: 6334 grad_norm: 2.3642 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1715 loss: 3.1715 2022/08/14 10:10:47 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 7.3570e-02 eta: 2 days, 1:24:17 time: 0.2850 data_time: 0.0198 memory: 6334 grad_norm: 2.4380 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0287 loss: 3.0287 2022/08/14 10:11:16 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 7.3570e-02 eta: 2 days, 1:23:49 time: 0.2824 data_time: 0.0179 memory: 6334 grad_norm: 2.4475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8554 loss: 2.8554 2022/08/14 10:11:45 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 7.3570e-02 eta: 2 days, 1:23:21 time: 0.2839 data_time: 0.0185 memory: 6334 grad_norm: 2.5599 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1236 loss: 3.1236 2022/08/14 10:12:13 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 7.3570e-02 eta: 2 days, 1:22:53 time: 0.2842 data_time: 0.0196 memory: 6334 grad_norm: 2.5559 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8901 loss: 2.8901 2022/08/14 10:12:42 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 7.3570e-02 eta: 2 days, 1:22:25 time: 0.2838 data_time: 0.0194 memory: 6334 grad_norm: 2.4311 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0198 loss: 3.0198 2022/08/14 10:13:10 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 7.3570e-02 eta: 2 days, 1:21:57 time: 0.2842 data_time: 0.0180 memory: 6334 grad_norm: 2.4699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8227 loss: 2.8227 2022/08/14 10:13:39 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 7.3570e-02 eta: 2 days, 1:21:29 time: 0.2849 data_time: 0.0188 memory: 6334 grad_norm: 2.4616 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0123 loss: 3.0123 2022/08/14 10:14:08 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 7.3570e-02 eta: 2 days, 1:21:02 time: 0.2917 data_time: 0.0227 memory: 6334 grad_norm: 2.4594 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0636 loss: 3.0636 2022/08/14 10:14:36 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 7.3570e-02 eta: 2 days, 1:20:34 time: 0.2814 data_time: 0.0172 memory: 6334 grad_norm: 2.5186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0204 loss: 3.0204 2022/08/14 10:15:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:15:05 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 7.3570e-02 eta: 2 days, 1:20:06 time: 0.2850 data_time: 0.0187 memory: 6334 grad_norm: 2.4559 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1228 loss: 3.1228 2022/08/14 10:15:34 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 7.3570e-02 eta: 2 days, 1:19:38 time: 0.2835 data_time: 0.0196 memory: 6334 grad_norm: 2.5057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6306 loss: 2.6306 2022/08/14 10:16:02 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 7.3570e-02 eta: 2 days, 1:19:10 time: 0.2891 data_time: 0.0186 memory: 6334 grad_norm: 2.5556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7180 loss: 2.7180 2022/08/14 10:16:31 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 7.3570e-02 eta: 2 days, 1:18:43 time: 0.2849 data_time: 0.0189 memory: 6334 grad_norm: 2.4538 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0464 loss: 3.0464 2022/08/14 10:16:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:16:47 - mmengine - INFO - Epoch(train) [89][3757/3757] lr: 7.3570e-02 eta: 2 days, 1:18:31 time: 0.2634 data_time: 0.0161 memory: 6334 grad_norm: 2.4235 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.1127 loss: 3.1127 2022/08/14 10:17:18 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 7.3027e-02 eta: 2 days, 1:17:53 time: 0.2812 data_time: 0.0182 memory: 6334 grad_norm: 2.4825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9764 loss: 2.9764 2022/08/14 10:17:46 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 7.3027e-02 eta: 2 days, 1:17:26 time: 0.2852 data_time: 0.0169 memory: 6334 grad_norm: 2.5134 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1625 loss: 3.1625 2022/08/14 10:18:15 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 7.3027e-02 eta: 2 days, 1:16:58 time: 0.2828 data_time: 0.0177 memory: 6334 grad_norm: 2.5716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6692 loss: 2.6692 2022/08/14 10:18:43 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 7.3027e-02 eta: 2 days, 1:16:30 time: 0.2837 data_time: 0.0182 memory: 6334 grad_norm: 2.4784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0204 loss: 3.0204 2022/08/14 10:19:12 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 7.3027e-02 eta: 2 days, 1:16:02 time: 0.2873 data_time: 0.0188 memory: 6334 grad_norm: 2.5146 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4065 loss: 3.4065 2022/08/14 10:19:41 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 7.3027e-02 eta: 2 days, 1:15:34 time: 0.2860 data_time: 0.0201 memory: 6334 grad_norm: 2.5038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9975 loss: 2.9975 2022/08/14 10:19:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:20:09 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 7.3027e-02 eta: 2 days, 1:15:06 time: 0.2845 data_time: 0.0190 memory: 6334 grad_norm: 2.4242 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0547 loss: 3.0547 2022/08/14 10:20:38 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 7.3027e-02 eta: 2 days, 1:14:38 time: 0.2833 data_time: 0.0178 memory: 6334 grad_norm: 2.4215 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8377 loss: 2.8377 2022/08/14 10:21:07 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 7.3027e-02 eta: 2 days, 1:14:10 time: 0.2829 data_time: 0.0164 memory: 6334 grad_norm: 2.5242 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0061 loss: 3.0061 2022/08/14 10:21:35 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 7.3027e-02 eta: 2 days, 1:13:42 time: 0.2843 data_time: 0.0186 memory: 6334 grad_norm: 2.5547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8365 loss: 2.8365 2022/08/14 10:22:04 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 7.3027e-02 eta: 2 days, 1:13:15 time: 0.2933 data_time: 0.0191 memory: 6334 grad_norm: 2.4990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7369 loss: 2.7369 2022/08/14 10:22:33 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 7.3027e-02 eta: 2 days, 1:12:47 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.5114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0639 loss: 3.0639 2022/08/14 10:23:01 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 7.3027e-02 eta: 2 days, 1:12:19 time: 0.2846 data_time: 0.0177 memory: 6334 grad_norm: 2.5152 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0216 loss: 3.0216 2022/08/14 10:23:30 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 7.3027e-02 eta: 2 days, 1:11:51 time: 0.2855 data_time: 0.0189 memory: 6334 grad_norm: 2.4291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6747 loss: 2.6747 2022/08/14 10:23:59 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 7.3027e-02 eta: 2 days, 1:11:24 time: 0.2928 data_time: 0.0199 memory: 6334 grad_norm: 2.5189 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9599 loss: 2.9599 2022/08/14 10:24:27 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 7.3027e-02 eta: 2 days, 1:10:56 time: 0.2836 data_time: 0.0171 memory: 6334 grad_norm: 2.5104 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0535 loss: 3.0535 2022/08/14 10:24:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:24:56 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 7.3027e-02 eta: 2 days, 1:10:28 time: 0.2854 data_time: 0.0186 memory: 6334 grad_norm: 2.5077 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9067 loss: 2.9067 2022/08/14 10:25:25 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 7.3027e-02 eta: 2 days, 1:10:00 time: 0.2841 data_time: 0.0188 memory: 6334 grad_norm: 2.4846 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0585 loss: 3.0585 2022/08/14 10:25:53 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 7.3027e-02 eta: 2 days, 1:09:32 time: 0.2839 data_time: 0.0177 memory: 6334 grad_norm: 2.5600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/08/14 10:26:22 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 7.3027e-02 eta: 2 days, 1:09:05 time: 0.3040 data_time: 0.0183 memory: 6334 grad_norm: 2.5523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2243 loss: 3.2243 2022/08/14 10:26:51 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 7.3027e-02 eta: 2 days, 1:08:37 time: 0.2851 data_time: 0.0189 memory: 6334 grad_norm: 2.4478 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/08/14 10:27:19 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 7.3027e-02 eta: 2 days, 1:08:09 time: 0.2853 data_time: 0.0177 memory: 6334 grad_norm: 2.4128 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0639 loss: 3.0639 2022/08/14 10:27:48 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 7.3027e-02 eta: 2 days, 1:07:41 time: 0.2833 data_time: 0.0171 memory: 6334 grad_norm: 2.5018 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0570 loss: 3.0570 2022/08/14 10:28:17 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 7.3027e-02 eta: 2 days, 1:07:13 time: 0.2838 data_time: 0.0188 memory: 6334 grad_norm: 2.4807 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9854 loss: 2.9854 2022/08/14 10:28:45 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 7.3027e-02 eta: 2 days, 1:06:46 time: 0.2836 data_time: 0.0186 memory: 6334 grad_norm: 2.4842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0771 loss: 3.0771 2022/08/14 10:29:14 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 7.3027e-02 eta: 2 days, 1:06:18 time: 0.2841 data_time: 0.0176 memory: 6334 grad_norm: 2.5096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7913 loss: 2.7913 2022/08/14 10:29:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:29:43 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 7.3027e-02 eta: 2 days, 1:05:50 time: 0.2892 data_time: 0.0204 memory: 6334 grad_norm: 2.4857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0434 loss: 3.0434 2022/08/14 10:30:11 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 7.3027e-02 eta: 2 days, 1:05:22 time: 0.2894 data_time: 0.0165 memory: 6334 grad_norm: 2.4874 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9868 loss: 2.9868 2022/08/14 10:30:40 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 7.3027e-02 eta: 2 days, 1:04:54 time: 0.2826 data_time: 0.0188 memory: 6334 grad_norm: 2.4981 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5578 loss: 2.5578 2022/08/14 10:31:08 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 7.3027e-02 eta: 2 days, 1:04:26 time: 0.2842 data_time: 0.0190 memory: 6334 grad_norm: 2.4106 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1200 loss: 3.1200 2022/08/14 10:31:37 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 7.3027e-02 eta: 2 days, 1:03:58 time: 0.2834 data_time: 0.0178 memory: 6334 grad_norm: 2.4085 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1232 loss: 3.1232 2022/08/14 10:32:06 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 7.3027e-02 eta: 2 days, 1:03:31 time: 0.2844 data_time: 0.0180 memory: 6334 grad_norm: 2.5493 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7872 loss: 2.7872 2022/08/14 10:32:35 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 7.3027e-02 eta: 2 days, 1:03:03 time: 0.2849 data_time: 0.0183 memory: 6334 grad_norm: 2.5046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0598 loss: 3.0598 2022/08/14 10:33:03 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 7.3027e-02 eta: 2 days, 1:02:35 time: 0.2844 data_time: 0.0206 memory: 6334 grad_norm: 2.4920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8773 loss: 2.8773 2022/08/14 10:33:32 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 7.3027e-02 eta: 2 days, 1:02:07 time: 0.2836 data_time: 0.0173 memory: 6334 grad_norm: 2.4522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8508 loss: 2.8508 2022/08/14 10:34:00 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 7.3027e-02 eta: 2 days, 1:01:39 time: 0.2860 data_time: 0.0189 memory: 6334 grad_norm: 2.4654 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9523 loss: 2.9523 2022/08/14 10:34:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:34:29 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 7.3027e-02 eta: 2 days, 1:01:11 time: 0.2823 data_time: 0.0176 memory: 6334 grad_norm: 2.5216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3583 loss: 3.3583 2022/08/14 10:34:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:34:45 - mmengine - INFO - Epoch(train) [90][3757/3757] lr: 7.3027e-02 eta: 2 days, 1:01:00 time: 0.2650 data_time: 0.0156 memory: 6334 grad_norm: 2.4920 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.2333 loss: 3.2333 2022/08/14 10:35:07 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:00:43 time: 0.2074 data_time: 0.1104 memory: 1152 2022/08/14 10:35:28 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:22 time: 0.2061 data_time: 0.1105 memory: 1152 2022/08/14 10:35:49 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:02 time: 0.2025 data_time: 0.1034 memory: 1152 2022/08/14 10:35:53 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.4049 acc/top5: 0.6845 acc/mean1: 0.4048 2022/08/14 10:35:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_71.pth is removed 2022/08/14 10:35:55 - mmengine - INFO - The best checkpoint with 0.4049 acc/top1 at 91 epoch is saved to best_acc/top1_epoch_91.pth. 2022/08/14 10:36:25 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 7.2481e-02 eta: 2 days, 1:00:21 time: 0.2848 data_time: 0.0173 memory: 6334 grad_norm: 2.5246 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1851 loss: 3.1851 2022/08/14 10:36:54 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 7.2481e-02 eta: 2 days, 0:59:53 time: 0.2865 data_time: 0.0189 memory: 6334 grad_norm: 2.5195 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9549 loss: 2.9549 2022/08/14 10:37:22 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 7.2481e-02 eta: 2 days, 0:59:25 time: 0.2884 data_time: 0.0175 memory: 6334 grad_norm: 2.4864 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9047 loss: 2.9047 2022/08/14 10:37:51 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 7.2481e-02 eta: 2 days, 0:58:57 time: 0.2858 data_time: 0.0180 memory: 6334 grad_norm: 2.5105 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0616 loss: 3.0616 2022/08/14 10:38:20 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 7.2481e-02 eta: 2 days, 0:58:29 time: 0.2885 data_time: 0.0206 memory: 6334 grad_norm: 2.5136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1802 loss: 3.1802 2022/08/14 10:38:48 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 7.2481e-02 eta: 2 days, 0:58:01 time: 0.2849 data_time: 0.0190 memory: 6334 grad_norm: 2.4703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0254 loss: 3.0254 2022/08/14 10:39:17 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 7.2481e-02 eta: 2 days, 0:57:33 time: 0.2818 data_time: 0.0169 memory: 6334 grad_norm: 2.4715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8083 loss: 2.8083 2022/08/14 10:39:45 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 7.2481e-02 eta: 2 days, 0:57:05 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.5176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2674 loss: 3.2674 2022/08/14 10:40:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:40:14 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 7.2481e-02 eta: 2 days, 0:56:37 time: 0.2849 data_time: 0.0181 memory: 6334 grad_norm: 2.4953 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2122 loss: 3.2122 2022/08/14 10:40:43 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 7.2481e-02 eta: 2 days, 0:56:10 time: 0.2844 data_time: 0.0194 memory: 6334 grad_norm: 2.4577 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3704 loss: 3.3704 2022/08/14 10:41:11 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 7.2481e-02 eta: 2 days, 0:55:42 time: 0.2859 data_time: 0.0194 memory: 6334 grad_norm: 2.5263 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8644 loss: 2.8644 2022/08/14 10:41:40 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 7.2481e-02 eta: 2 days, 0:55:14 time: 0.2828 data_time: 0.0187 memory: 6334 grad_norm: 2.4639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9772 loss: 2.9772 2022/08/14 10:42:09 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 7.2481e-02 eta: 2 days, 0:54:46 time: 0.2824 data_time: 0.0184 memory: 6334 grad_norm: 2.5855 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0553 loss: 3.0553 2022/08/14 10:42:37 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 7.2481e-02 eta: 2 days, 0:54:18 time: 0.2854 data_time: 0.0194 memory: 6334 grad_norm: 2.4855 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7801 loss: 2.7801 2022/08/14 10:43:06 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 7.2481e-02 eta: 2 days, 0:53:50 time: 0.2828 data_time: 0.0166 memory: 6334 grad_norm: 2.4968 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1129 loss: 3.1129 2022/08/14 10:43:35 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 7.2481e-02 eta: 2 days, 0:53:22 time: 0.2868 data_time: 0.0198 memory: 6334 grad_norm: 2.5834 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0651 loss: 3.0651 2022/08/14 10:44:03 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 7.2481e-02 eta: 2 days, 0:52:54 time: 0.2848 data_time: 0.0186 memory: 6334 grad_norm: 2.5104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8681 loss: 2.8681 2022/08/14 10:44:32 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 7.2481e-02 eta: 2 days, 0:52:26 time: 0.2836 data_time: 0.0189 memory: 6334 grad_norm: 2.5181 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2536 loss: 3.2536 2022/08/14 10:44:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:45:00 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 7.2481e-02 eta: 2 days, 0:51:58 time: 0.2874 data_time: 0.0188 memory: 6334 grad_norm: 2.5236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0038 loss: 3.0038 2022/08/14 10:45:29 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 7.2481e-02 eta: 2 days, 0:51:31 time: 0.2817 data_time: 0.0173 memory: 6334 grad_norm: 2.4972 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7314 loss: 2.7314 2022/08/14 10:45:58 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 7.2481e-02 eta: 2 days, 0:51:03 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.4859 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0132 loss: 3.0132 2022/08/14 10:46:26 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 7.2481e-02 eta: 2 days, 0:50:35 time: 0.2845 data_time: 0.0176 memory: 6334 grad_norm: 2.5182 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8954 loss: 2.8954 2022/08/14 10:46:55 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 7.2481e-02 eta: 2 days, 0:50:07 time: 0.2847 data_time: 0.0187 memory: 6334 grad_norm: 2.4852 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8855 loss: 2.8855 2022/08/14 10:47:24 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 7.2481e-02 eta: 2 days, 0:49:40 time: 0.2893 data_time: 0.0180 memory: 6334 grad_norm: 2.4693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4858 loss: 2.4858 2022/08/14 10:47:53 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 7.2481e-02 eta: 2 days, 0:49:12 time: 0.2872 data_time: 0.0192 memory: 6334 grad_norm: 2.4743 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2117 loss: 3.2117 2022/08/14 10:48:21 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 7.2481e-02 eta: 2 days, 0:48:44 time: 0.2858 data_time: 0.0169 memory: 6334 grad_norm: 2.5289 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1627 loss: 3.1627 2022/08/14 10:48:50 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 7.2481e-02 eta: 2 days, 0:48:16 time: 0.2842 data_time: 0.0182 memory: 6334 grad_norm: 2.4475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8762 loss: 2.8762 2022/08/14 10:49:18 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 7.2481e-02 eta: 2 days, 0:47:48 time: 0.2827 data_time: 0.0176 memory: 6334 grad_norm: 2.4940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0312 loss: 3.0312 2022/08/14 10:49:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:49:47 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 7.2481e-02 eta: 2 days, 0:47:20 time: 0.2831 data_time: 0.0188 memory: 6334 grad_norm: 2.5410 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0121 loss: 3.0121 2022/08/14 10:50:16 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 7.2481e-02 eta: 2 days, 0:46:53 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1048 loss: 3.1048 2022/08/14 10:50:44 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 7.2481e-02 eta: 2 days, 0:46:25 time: 0.2822 data_time: 0.0182 memory: 6334 grad_norm: 2.4380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1243 loss: 3.1243 2022/08/14 10:51:13 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 7.2481e-02 eta: 2 days, 0:45:57 time: 0.2847 data_time: 0.0193 memory: 6334 grad_norm: 2.4899 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1036 loss: 3.1036 2022/08/14 10:51:42 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 7.2481e-02 eta: 2 days, 0:45:29 time: 0.2909 data_time: 0.0189 memory: 6334 grad_norm: 2.4323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9018 loss: 2.9018 2022/08/14 10:52:10 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 7.2481e-02 eta: 2 days, 0:45:01 time: 0.2830 data_time: 0.0179 memory: 6334 grad_norm: 2.4149 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1138 loss: 3.1138 2022/08/14 10:52:39 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 7.2481e-02 eta: 2 days, 0:44:33 time: 0.2828 data_time: 0.0177 memory: 6334 grad_norm: 2.5961 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0381 loss: 3.0381 2022/08/14 10:53:08 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 7.2481e-02 eta: 2 days, 0:44:05 time: 0.2834 data_time: 0.0182 memory: 6334 grad_norm: 2.4502 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0612 loss: 3.0612 2022/08/14 10:53:36 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 7.2481e-02 eta: 2 days, 0:43:38 time: 0.2866 data_time: 0.0197 memory: 6334 grad_norm: 2.4226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0566 loss: 3.0566 2022/08/14 10:53:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:53:52 - mmengine - INFO - Epoch(train) [91][3757/3757] lr: 7.2481e-02 eta: 2 days, 0:43:26 time: 0.2670 data_time: 0.0175 memory: 6334 grad_norm: 2.4581 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.2336 loss: 3.2336 2022/08/14 10:54:23 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 7.1931e-02 eta: 2 days, 0:42:50 time: 0.2911 data_time: 0.0188 memory: 6334 grad_norm: 2.5177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9438 loss: 2.9438 2022/08/14 10:54:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:54:52 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 7.1931e-02 eta: 2 days, 0:42:22 time: 0.2851 data_time: 0.0186 memory: 6334 grad_norm: 2.5310 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9593 loss: 2.9593 2022/08/14 10:55:21 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 7.1931e-02 eta: 2 days, 0:41:54 time: 0.2831 data_time: 0.0183 memory: 6334 grad_norm: 2.4785 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8351 loss: 2.8351 2022/08/14 10:55:49 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 7.1931e-02 eta: 2 days, 0:41:26 time: 0.2833 data_time: 0.0179 memory: 6334 grad_norm: 2.5316 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2057 loss: 3.2057 2022/08/14 10:56:18 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 7.1931e-02 eta: 2 days, 0:40:58 time: 0.2835 data_time: 0.0186 memory: 6334 grad_norm: 2.5002 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0207 loss: 3.0207 2022/08/14 10:56:47 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 7.1931e-02 eta: 2 days, 0:40:30 time: 0.2829 data_time: 0.0182 memory: 6334 grad_norm: 2.5233 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3893 loss: 3.3893 2022/08/14 10:57:15 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 7.1931e-02 eta: 2 days, 0:40:02 time: 0.2842 data_time: 0.0202 memory: 6334 grad_norm: 2.4750 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8400 loss: 2.8400 2022/08/14 10:57:44 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 7.1931e-02 eta: 2 days, 0:39:34 time: 0.2844 data_time: 0.0184 memory: 6334 grad_norm: 2.5350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1033 loss: 3.1033 2022/08/14 10:58:12 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 7.1931e-02 eta: 2 days, 0:39:06 time: 0.2861 data_time: 0.0194 memory: 6334 grad_norm: 2.4687 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0786 loss: 3.0786 2022/08/14 10:58:41 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 7.1931e-02 eta: 2 days, 0:38:38 time: 0.2840 data_time: 0.0186 memory: 6334 grad_norm: 2.5000 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8998 loss: 2.8998 2022/08/14 10:59:10 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 7.1931e-02 eta: 2 days, 0:38:11 time: 0.2845 data_time: 0.0175 memory: 6334 grad_norm: 2.5778 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0835 loss: 3.0835 2022/08/14 10:59:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 10:59:38 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 7.1931e-02 eta: 2 days, 0:37:43 time: 0.2833 data_time: 0.0195 memory: 6334 grad_norm: 2.5272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8017 loss: 2.8017 2022/08/14 11:00:07 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 7.1931e-02 eta: 2 days, 0:37:15 time: 0.2836 data_time: 0.0171 memory: 6334 grad_norm: 2.4024 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9141 loss: 2.9141 2022/08/14 11:00:36 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 7.1931e-02 eta: 2 days, 0:36:47 time: 0.2860 data_time: 0.0201 memory: 6334 grad_norm: 2.4215 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8642 loss: 2.8642 2022/08/14 11:01:04 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 7.1931e-02 eta: 2 days, 0:36:19 time: 0.2835 data_time: 0.0197 memory: 6334 grad_norm: 2.4493 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8689 loss: 2.8689 2022/08/14 11:01:33 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 7.1931e-02 eta: 2 days, 0:35:51 time: 0.2892 data_time: 0.0182 memory: 6334 grad_norm: 2.5488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9093 loss: 2.9093 2022/08/14 11:02:01 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 7.1931e-02 eta: 2 days, 0:35:23 time: 0.2822 data_time: 0.0175 memory: 6334 grad_norm: 2.5049 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2032 loss: 3.2032 2022/08/14 11:02:30 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 7.1931e-02 eta: 2 days, 0:34:55 time: 0.2855 data_time: 0.0180 memory: 6334 grad_norm: 2.4799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8608 loss: 2.8608 2022/08/14 11:02:59 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 7.1931e-02 eta: 2 days, 0:34:28 time: 0.2826 data_time: 0.0200 memory: 6334 grad_norm: 2.5240 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9361 loss: 2.9361 2022/08/14 11:03:28 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 7.1931e-02 eta: 2 days, 0:34:00 time: 0.2857 data_time: 0.0186 memory: 6334 grad_norm: 2.4977 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0163 loss: 3.0163 2022/08/14 11:03:56 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 7.1931e-02 eta: 2 days, 0:33:32 time: 0.2873 data_time: 0.0198 memory: 6334 grad_norm: 2.5597 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8812 loss: 2.8812 2022/08/14 11:04:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:04:25 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 7.1931e-02 eta: 2 days, 0:33:05 time: 0.2842 data_time: 0.0186 memory: 6334 grad_norm: 2.5111 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2875 loss: 3.2875 2022/08/14 11:04:54 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 7.1931e-02 eta: 2 days, 0:32:37 time: 0.2873 data_time: 0.0178 memory: 6334 grad_norm: 2.5308 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6981 loss: 2.6981 2022/08/14 11:05:22 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 7.1931e-02 eta: 2 days, 0:32:09 time: 0.2820 data_time: 0.0177 memory: 6334 grad_norm: 2.4727 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1106 loss: 3.1106 2022/08/14 11:05:51 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 7.1931e-02 eta: 2 days, 0:31:41 time: 0.2828 data_time: 0.0178 memory: 6334 grad_norm: 2.5279 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2467 loss: 3.2467 2022/08/14 11:06:20 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 7.1931e-02 eta: 2 days, 0:31:13 time: 0.2855 data_time: 0.0182 memory: 6334 grad_norm: 2.4564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7322 loss: 2.7322 2022/08/14 11:06:48 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 7.1931e-02 eta: 2 days, 0:30:45 time: 0.2842 data_time: 0.0178 memory: 6334 grad_norm: 2.5140 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8022 loss: 2.8022 2022/08/14 11:07:17 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 7.1931e-02 eta: 2 days, 0:30:17 time: 0.2898 data_time: 0.0192 memory: 6334 grad_norm: 2.5065 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2231 loss: 3.2231 2022/08/14 11:07:45 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 7.1931e-02 eta: 2 days, 0:29:49 time: 0.2827 data_time: 0.0176 memory: 6334 grad_norm: 2.4670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0077 loss: 3.0077 2022/08/14 11:08:14 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 7.1931e-02 eta: 2 days, 0:29:21 time: 0.2869 data_time: 0.0183 memory: 6334 grad_norm: 2.4858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6586 loss: 2.6586 2022/08/14 11:08:43 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 7.1931e-02 eta: 2 days, 0:28:53 time: 0.2873 data_time: 0.0182 memory: 6334 grad_norm: 2.5369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0312 loss: 3.0312 2022/08/14 11:08:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:09:11 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 7.1931e-02 eta: 2 days, 0:28:25 time: 0.2833 data_time: 0.0171 memory: 6334 grad_norm: 2.4932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2785 loss: 3.2785 2022/08/14 11:09:40 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 7.1931e-02 eta: 2 days, 0:27:58 time: 0.2838 data_time: 0.0187 memory: 6334 grad_norm: 2.4413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0825 loss: 3.0825 2022/08/14 11:10:09 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 7.1931e-02 eta: 2 days, 0:27:30 time: 0.2830 data_time: 0.0175 memory: 6334 grad_norm: 2.4356 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8568 loss: 2.8568 2022/08/14 11:10:37 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 7.1931e-02 eta: 2 days, 0:27:02 time: 0.2853 data_time: 0.0207 memory: 6334 grad_norm: 2.4016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8855 loss: 2.8855 2022/08/14 11:11:06 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 7.1931e-02 eta: 2 days, 0:26:34 time: 0.2868 data_time: 0.0189 memory: 6334 grad_norm: 2.5393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1034 loss: 3.1034 2022/08/14 11:11:35 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 7.1931e-02 eta: 2 days, 0:26:06 time: 0.2845 data_time: 0.0185 memory: 6334 grad_norm: 2.5056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9636 loss: 2.9636 2022/08/14 11:11:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:11:50 - mmengine - INFO - Epoch(train) [92][3757/3757] lr: 7.1931e-02 eta: 2 days, 0:25:55 time: 0.2628 data_time: 0.0151 memory: 6334 grad_norm: 2.4141 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0025 loss: 3.0025 2022/08/14 11:11:50 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/14 11:12:24 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 7.1378e-02 eta: 2 days, 0:25:15 time: 0.2838 data_time: 0.0183 memory: 6334 grad_norm: 2.5165 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0729 loss: 3.0729 2022/08/14 11:12:53 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 7.1378e-02 eta: 2 days, 0:24:47 time: 0.2837 data_time: 0.0186 memory: 6334 grad_norm: 2.5284 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7722 loss: 2.7722 2022/08/14 11:13:22 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 7.1378e-02 eta: 2 days, 0:24:20 time: 0.2832 data_time: 0.0170 memory: 6334 grad_norm: 2.5268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1167 loss: 3.1167 2022/08/14 11:13:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:13:50 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 7.1378e-02 eta: 2 days, 0:23:52 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.5419 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7726 loss: 2.7726 2022/08/14 11:14:19 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 7.1378e-02 eta: 2 days, 0:23:25 time: 0.2825 data_time: 0.0179 memory: 6334 grad_norm: 2.5637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0742 loss: 3.0742 2022/08/14 11:14:48 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 7.1378e-02 eta: 2 days, 0:22:57 time: 0.2904 data_time: 0.0193 memory: 6334 grad_norm: 2.4909 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8155 loss: 2.8155 2022/08/14 11:15:17 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 7.1378e-02 eta: 2 days, 0:22:29 time: 0.2839 data_time: 0.0188 memory: 6334 grad_norm: 2.5385 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0342 loss: 3.0342 2022/08/14 11:15:46 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 7.1378e-02 eta: 2 days, 0:22:02 time: 0.2858 data_time: 0.0188 memory: 6334 grad_norm: 2.5715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8701 loss: 2.8701 2022/08/14 11:16:14 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 7.1378e-02 eta: 2 days, 0:21:34 time: 0.2838 data_time: 0.0187 memory: 6334 grad_norm: 2.5225 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8049 loss: 2.8049 2022/08/14 11:16:43 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 7.1378e-02 eta: 2 days, 0:21:06 time: 0.2830 data_time: 0.0181 memory: 6334 grad_norm: 2.5213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3825 loss: 3.3825 2022/08/14 11:17:12 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 7.1378e-02 eta: 2 days, 0:20:38 time: 0.2857 data_time: 0.0179 memory: 6334 grad_norm: 2.5883 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7876 loss: 2.7876 2022/08/14 11:17:40 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 7.1378e-02 eta: 2 days, 0:20:10 time: 0.2858 data_time: 0.0189 memory: 6334 grad_norm: 2.5407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9021 loss: 2.9021 2022/08/14 11:18:09 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 7.1378e-02 eta: 2 days, 0:19:42 time: 0.2860 data_time: 0.0170 memory: 6334 grad_norm: 2.4952 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2751 loss: 3.2751 2022/08/14 11:18:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:18:38 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 7.1378e-02 eta: 2 days, 0:19:15 time: 0.2842 data_time: 0.0189 memory: 6334 grad_norm: 2.4763 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8119 loss: 2.8119 2022/08/14 11:19:06 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 7.1378e-02 eta: 2 days, 0:18:47 time: 0.3021 data_time: 0.0196 memory: 6334 grad_norm: 2.5319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0676 loss: 3.0676 2022/08/14 11:19:35 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 7.1378e-02 eta: 2 days, 0:18:19 time: 0.2857 data_time: 0.0191 memory: 6334 grad_norm: 2.5190 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0953 loss: 3.0953 2022/08/14 11:20:04 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 7.1378e-02 eta: 2 days, 0:17:52 time: 0.3012 data_time: 0.0193 memory: 6334 grad_norm: 2.4243 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2094 loss: 3.2094 2022/08/14 11:20:33 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 7.1378e-02 eta: 2 days, 0:17:24 time: 0.2874 data_time: 0.0182 memory: 6334 grad_norm: 2.4756 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9743 loss: 2.9743 2022/08/14 11:21:01 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 7.1378e-02 eta: 2 days, 0:16:56 time: 0.2839 data_time: 0.0169 memory: 6334 grad_norm: 2.4682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1833 loss: 3.1833 2022/08/14 11:21:30 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 7.1378e-02 eta: 2 days, 0:16:28 time: 0.2836 data_time: 0.0183 memory: 6334 grad_norm: 2.5295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1358 loss: 3.1358 2022/08/14 11:21:58 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 7.1378e-02 eta: 2 days, 0:16:00 time: 0.2832 data_time: 0.0182 memory: 6334 grad_norm: 2.4493 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1880 loss: 3.1880 2022/08/14 11:22:27 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 7.1378e-02 eta: 2 days, 0:15:32 time: 0.2839 data_time: 0.0178 memory: 6334 grad_norm: 2.5326 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1966 loss: 3.1966 2022/08/14 11:22:56 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 7.1378e-02 eta: 2 days, 0:15:04 time: 0.2847 data_time: 0.0193 memory: 6334 grad_norm: 2.5545 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3168 loss: 3.3168 2022/08/14 11:23:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:23:24 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 7.1378e-02 eta: 2 days, 0:14:36 time: 0.2841 data_time: 0.0189 memory: 6334 grad_norm: 2.4301 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1151 loss: 3.1151 2022/08/14 11:23:53 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 7.1378e-02 eta: 2 days, 0:14:08 time: 0.2833 data_time: 0.0176 memory: 6334 grad_norm: 2.5470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7786 loss: 2.7786 2022/08/14 11:24:21 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 7.1378e-02 eta: 2 days, 0:13:40 time: 0.2846 data_time: 0.0180 memory: 6334 grad_norm: 2.4940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2451 loss: 3.2451 2022/08/14 11:24:50 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 7.1378e-02 eta: 2 days, 0:13:12 time: 0.2838 data_time: 0.0189 memory: 6334 grad_norm: 2.3899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0532 loss: 3.0532 2022/08/14 11:25:19 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 7.1378e-02 eta: 2 days, 0:12:45 time: 0.2985 data_time: 0.0175 memory: 6334 grad_norm: 2.5364 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0157 loss: 3.0157 2022/08/14 11:25:47 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 7.1378e-02 eta: 2 days, 0:12:17 time: 0.2842 data_time: 0.0184 memory: 6334 grad_norm: 2.4182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6309 loss: 2.6309 2022/08/14 11:26:16 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 7.1378e-02 eta: 2 days, 0:11:49 time: 0.2866 data_time: 0.0189 memory: 6334 grad_norm: 2.5118 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0142 loss: 3.0142 2022/08/14 11:26:45 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 7.1378e-02 eta: 2 days, 0:11:21 time: 0.2847 data_time: 0.0186 memory: 6334 grad_norm: 2.5121 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0699 loss: 3.0699 2022/08/14 11:27:13 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 7.1378e-02 eta: 2 days, 0:10:53 time: 0.2821 data_time: 0.0186 memory: 6334 grad_norm: 2.4100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7282 loss: 2.7282 2022/08/14 11:27:42 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 7.1378e-02 eta: 2 days, 0:10:25 time: 0.2843 data_time: 0.0192 memory: 6334 grad_norm: 2.5095 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8723 loss: 2.8723 2022/08/14 11:27:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:28:11 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 7.1378e-02 eta: 2 days, 0:09:57 time: 0.2829 data_time: 0.0190 memory: 6334 grad_norm: 2.4723 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7783 loss: 2.7783 2022/08/14 11:28:39 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 7.1378e-02 eta: 2 days, 0:09:30 time: 0.2868 data_time: 0.0195 memory: 6334 grad_norm: 2.5659 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1993 loss: 3.1993 2022/08/14 11:29:08 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 7.1378e-02 eta: 2 days, 0:09:01 time: 0.2825 data_time: 0.0187 memory: 6334 grad_norm: 2.5583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0334 loss: 3.0334 2022/08/14 11:29:37 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 7.1378e-02 eta: 2 days, 0:08:34 time: 0.2896 data_time: 0.0196 memory: 6334 grad_norm: 2.5417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1636 loss: 3.1636 2022/08/14 11:29:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:29:52 - mmengine - INFO - Epoch(train) [93][3757/3757] lr: 7.1378e-02 eta: 2 days, 0:08:22 time: 0.2628 data_time: 0.0156 memory: 6334 grad_norm: 2.5254 top1_acc: 0.0000 top5_acc: 0.7143 loss_cls: 2.6498 loss: 2.6498 2022/08/14 11:30:23 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 7.0821e-02 eta: 2 days, 0:07:45 time: 0.2854 data_time: 0.0182 memory: 6334 grad_norm: 2.5830 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9533 loss: 2.9533 2022/08/14 11:30:52 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 7.0821e-02 eta: 2 days, 0:07:17 time: 0.2835 data_time: 0.0182 memory: 6334 grad_norm: 2.5112 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7741 loss: 2.7741 2022/08/14 11:31:21 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 7.0821e-02 eta: 2 days, 0:06:50 time: 0.2873 data_time: 0.0191 memory: 6334 grad_norm: 2.4927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9504 loss: 2.9504 2022/08/14 11:31:50 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 7.0821e-02 eta: 2 days, 0:06:22 time: 0.2853 data_time: 0.0185 memory: 6334 grad_norm: 2.5233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6290 loss: 2.6290 2022/08/14 11:32:18 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 7.0821e-02 eta: 2 days, 0:05:54 time: 0.2854 data_time: 0.0193 memory: 6334 grad_norm: 2.5149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8407 loss: 2.8407 2022/08/14 11:32:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:32:47 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 7.0821e-02 eta: 2 days, 0:05:26 time: 0.2837 data_time: 0.0186 memory: 6334 grad_norm: 2.5678 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8067 loss: 2.8067 2022/08/14 11:33:16 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 7.0821e-02 eta: 2 days, 0:04:58 time: 0.2866 data_time: 0.0192 memory: 6334 grad_norm: 2.5335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8165 loss: 2.8165 2022/08/14 11:33:44 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 7.0821e-02 eta: 2 days, 0:04:30 time: 0.2838 data_time: 0.0178 memory: 6334 grad_norm: 2.4781 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2157 loss: 3.2157 2022/08/14 11:34:13 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 7.0821e-02 eta: 2 days, 0:04:03 time: 0.2846 data_time: 0.0176 memory: 6334 grad_norm: 2.5510 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9029 loss: 2.9029 2022/08/14 11:34:41 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 7.0821e-02 eta: 2 days, 0:03:34 time: 0.2827 data_time: 0.0177 memory: 6334 grad_norm: 2.5212 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2017 loss: 3.2017 2022/08/14 11:35:10 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 7.0821e-02 eta: 2 days, 0:03:06 time: 0.2837 data_time: 0.0168 memory: 6334 grad_norm: 2.5815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8350 loss: 2.8350 2022/08/14 11:35:39 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 7.0821e-02 eta: 2 days, 0:02:39 time: 0.2860 data_time: 0.0188 memory: 6334 grad_norm: 2.5552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0683 loss: 3.0683 2022/08/14 11:36:07 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 7.0821e-02 eta: 2 days, 0:02:11 time: 0.2834 data_time: 0.0195 memory: 6334 grad_norm: 2.4940 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1231 loss: 3.1231 2022/08/14 11:36:36 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 7.0821e-02 eta: 2 days, 0:01:43 time: 0.2867 data_time: 0.0185 memory: 6334 grad_norm: 2.5470 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0360 loss: 3.0360 2022/08/14 11:37:05 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 7.0821e-02 eta: 2 days, 0:01:15 time: 0.2834 data_time: 0.0186 memory: 6334 grad_norm: 2.5764 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9815 loss: 2.9815 2022/08/14 11:37:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:37:33 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 7.0821e-02 eta: 2 days, 0:00:47 time: 0.2847 data_time: 0.0183 memory: 6334 grad_norm: 2.5136 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9119 loss: 2.9119 2022/08/14 11:38:02 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 7.0821e-02 eta: 2 days, 0:00:20 time: 0.2833 data_time: 0.0181 memory: 6334 grad_norm: 2.5346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9756 loss: 2.9756 2022/08/14 11:38:31 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 7.0821e-02 eta: 1 day, 23:59:52 time: 0.2869 data_time: 0.0182 memory: 6334 grad_norm: 2.5222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9656 loss: 2.9656 2022/08/14 11:39:00 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 7.0821e-02 eta: 1 day, 23:59:24 time: 0.2833 data_time: 0.0180 memory: 6334 grad_norm: 2.5165 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8875 loss: 2.8875 2022/08/14 11:39:28 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 7.0821e-02 eta: 1 day, 23:58:56 time: 0.2855 data_time: 0.0182 memory: 6334 grad_norm: 2.4773 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0923 loss: 3.0923 2022/08/14 11:39:57 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 7.0821e-02 eta: 1 day, 23:58:28 time: 0.2875 data_time: 0.0199 memory: 6334 grad_norm: 2.5576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9082 loss: 2.9082 2022/08/14 11:40:26 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 7.0821e-02 eta: 1 day, 23:58:01 time: 0.2853 data_time: 0.0182 memory: 6334 grad_norm: 2.5061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9228 loss: 2.9228 2022/08/14 11:40:54 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 7.0821e-02 eta: 1 day, 23:57:33 time: 0.2843 data_time: 0.0182 memory: 6334 grad_norm: 2.5917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6034 loss: 2.6034 2022/08/14 11:41:23 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 7.0821e-02 eta: 1 day, 23:57:05 time: 0.2845 data_time: 0.0184 memory: 6334 grad_norm: 2.5251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1098 loss: 3.1098 2022/08/14 11:41:51 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 7.0821e-02 eta: 1 day, 23:56:37 time: 0.2856 data_time: 0.0192 memory: 6334 grad_norm: 2.5061 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1557 loss: 3.1557 2022/08/14 11:42:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:42:20 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 7.0821e-02 eta: 1 day, 23:56:09 time: 0.2841 data_time: 0.0193 memory: 6334 grad_norm: 2.5354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0011 loss: 3.0011 2022/08/14 11:42:49 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 7.0821e-02 eta: 1 day, 23:55:41 time: 0.2852 data_time: 0.0195 memory: 6334 grad_norm: 2.5034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2925 loss: 3.2925 2022/08/14 11:43:17 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 7.0821e-02 eta: 1 day, 23:55:13 time: 0.2843 data_time: 0.0184 memory: 6334 grad_norm: 2.5548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1222 loss: 3.1222 2022/08/14 11:43:46 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 7.0821e-02 eta: 1 day, 23:54:45 time: 0.2844 data_time: 0.0178 memory: 6334 grad_norm: 2.5671 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4259 loss: 3.4259 2022/08/14 11:44:15 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 7.0821e-02 eta: 1 day, 23:54:17 time: 0.2836 data_time: 0.0182 memory: 6334 grad_norm: 2.5464 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8859 loss: 2.8859 2022/08/14 11:44:43 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 7.0821e-02 eta: 1 day, 23:53:49 time: 0.2833 data_time: 0.0182 memory: 6334 grad_norm: 2.5445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8282 loss: 2.8282 2022/08/14 11:45:12 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 7.0821e-02 eta: 1 day, 23:53:21 time: 0.2850 data_time: 0.0197 memory: 6334 grad_norm: 2.4505 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0248 loss: 3.0248 2022/08/14 11:45:40 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 7.0821e-02 eta: 1 day, 23:52:53 time: 0.2859 data_time: 0.0187 memory: 6334 grad_norm: 2.4577 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1613 loss: 3.1613 2022/08/14 11:46:09 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 7.0821e-02 eta: 1 day, 23:52:25 time: 0.2856 data_time: 0.0192 memory: 6334 grad_norm: 2.5721 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2607 loss: 3.2607 2022/08/14 11:46:38 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 7.0821e-02 eta: 1 day, 23:51:58 time: 0.2990 data_time: 0.0181 memory: 6334 grad_norm: 2.5542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9184 loss: 2.9184 2022/08/14 11:47:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:47:07 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 7.0821e-02 eta: 1 day, 23:51:30 time: 0.2839 data_time: 0.0190 memory: 6334 grad_norm: 2.4798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3918 loss: 3.3918 2022/08/14 11:47:35 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 7.0821e-02 eta: 1 day, 23:51:02 time: 0.2835 data_time: 0.0169 memory: 6334 grad_norm: 2.4696 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1085 loss: 3.1085 2022/08/14 11:47:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:47:52 - mmengine - INFO - Epoch(train) [94][3757/3757] lr: 7.0821e-02 eta: 1 day, 23:50:51 time: 0.2659 data_time: 0.0157 memory: 6334 grad_norm: 2.4681 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.6473 loss: 2.6473 2022/08/14 11:48:22 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 7.0262e-02 eta: 1 day, 23:50:14 time: 0.2835 data_time: 0.0186 memory: 6334 grad_norm: 2.5663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8535 loss: 2.8535 2022/08/14 11:48:51 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 7.0262e-02 eta: 1 day, 23:49:46 time: 0.2853 data_time: 0.0194 memory: 6334 grad_norm: 2.5026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0875 loss: 3.0875 2022/08/14 11:49:20 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 7.0262e-02 eta: 1 day, 23:49:18 time: 0.2857 data_time: 0.0194 memory: 6334 grad_norm: 2.5643 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3111 loss: 3.3111 2022/08/14 11:49:48 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 7.0262e-02 eta: 1 day, 23:48:50 time: 0.2875 data_time: 0.0186 memory: 6334 grad_norm: 2.5490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9331 loss: 2.9331 2022/08/14 11:50:17 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 7.0262e-02 eta: 1 day, 23:48:22 time: 0.2838 data_time: 0.0186 memory: 6334 grad_norm: 2.5532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9492 loss: 2.9492 2022/08/14 11:50:46 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 7.0262e-02 eta: 1 day, 23:47:54 time: 0.2846 data_time: 0.0187 memory: 6334 grad_norm: 2.5357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7807 loss: 2.7807 2022/08/14 11:51:14 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 7.0262e-02 eta: 1 day, 23:47:26 time: 0.2831 data_time: 0.0179 memory: 6334 grad_norm: 2.5961 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7362 loss: 2.7362 2022/08/14 11:51:43 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 7.0262e-02 eta: 1 day, 23:46:58 time: 0.2834 data_time: 0.0178 memory: 6334 grad_norm: 2.5097 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9129 loss: 2.9129 2022/08/14 11:51:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:52:11 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 7.0262e-02 eta: 1 day, 23:46:31 time: 0.2854 data_time: 0.0181 memory: 6334 grad_norm: 2.5227 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2849 loss: 3.2849 2022/08/14 11:52:40 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 7.0262e-02 eta: 1 day, 23:46:03 time: 0.2889 data_time: 0.0180 memory: 6334 grad_norm: 2.5565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9510 loss: 2.9510 2022/08/14 11:53:09 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 7.0262e-02 eta: 1 day, 23:45:35 time: 0.2849 data_time: 0.0219 memory: 6334 grad_norm: 2.4624 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9373 loss: 2.9373 2022/08/14 11:53:37 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 7.0262e-02 eta: 1 day, 23:45:07 time: 0.2835 data_time: 0.0175 memory: 6334 grad_norm: 2.4808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0759 loss: 3.0759 2022/08/14 11:54:06 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 7.0262e-02 eta: 1 day, 23:44:39 time: 0.2842 data_time: 0.0178 memory: 6334 grad_norm: 2.5436 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1284 loss: 3.1284 2022/08/14 11:54:35 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 7.0262e-02 eta: 1 day, 23:44:11 time: 0.2825 data_time: 0.0183 memory: 6334 grad_norm: 2.5014 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2110 loss: 3.2110 2022/08/14 11:55:03 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 7.0262e-02 eta: 1 day, 23:43:43 time: 0.2824 data_time: 0.0174 memory: 6334 grad_norm: 2.4423 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8582 loss: 2.8582 2022/08/14 11:55:32 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 7.0262e-02 eta: 1 day, 23:43:16 time: 0.2878 data_time: 0.0187 memory: 6334 grad_norm: 2.5493 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0933 loss: 3.0933 2022/08/14 11:56:01 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 7.0262e-02 eta: 1 day, 23:42:48 time: 0.2843 data_time: 0.0194 memory: 6334 grad_norm: 2.5534 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8618 loss: 2.8618 2022/08/14 11:56:29 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 7.0262e-02 eta: 1 day, 23:42:20 time: 0.2869 data_time: 0.0186 memory: 6334 grad_norm: 2.4745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9087 loss: 2.9087 2022/08/14 11:56:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 11:56:58 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 7.0262e-02 eta: 1 day, 23:41:52 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.5773 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0159 loss: 3.0159 2022/08/14 11:57:27 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 7.0262e-02 eta: 1 day, 23:41:24 time: 0.2821 data_time: 0.0176 memory: 6334 grad_norm: 2.5662 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3931 loss: 3.3931 2022/08/14 11:57:55 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 7.0262e-02 eta: 1 day, 23:40:56 time: 0.2830 data_time: 0.0174 memory: 6334 grad_norm: 2.4905 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8580 loss: 2.8580 2022/08/14 11:58:24 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 7.0262e-02 eta: 1 day, 23:40:28 time: 0.2836 data_time: 0.0181 memory: 6334 grad_norm: 2.5851 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8332 loss: 2.8332 2022/08/14 11:58:53 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 7.0262e-02 eta: 1 day, 23:40:00 time: 0.2849 data_time: 0.0186 memory: 6334 grad_norm: 2.4996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9248 loss: 2.9248 2022/08/14 11:59:21 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 7.0262e-02 eta: 1 day, 23:39:32 time: 0.2861 data_time: 0.0196 memory: 6334 grad_norm: 2.5013 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9115 loss: 2.9115 2022/08/14 11:59:50 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 7.0262e-02 eta: 1 day, 23:39:04 time: 0.2844 data_time: 0.0182 memory: 6334 grad_norm: 2.4706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2722 loss: 3.2722 2022/08/14 12:00:23 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 7.0262e-02 eta: 1 day, 23:38:44 time: 0.2855 data_time: 0.0181 memory: 6334 grad_norm: 2.6081 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0659 loss: 3.0659 2022/08/14 12:00:52 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 7.0262e-02 eta: 1 day, 23:38:16 time: 0.2868 data_time: 0.0182 memory: 6334 grad_norm: 2.5145 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1714 loss: 3.1714 2022/08/14 12:01:20 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 7.0262e-02 eta: 1 day, 23:37:48 time: 0.2856 data_time: 0.0191 memory: 6334 grad_norm: 2.5497 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0797 loss: 3.0797 2022/08/14 12:01:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:01:49 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 7.0262e-02 eta: 1 day, 23:37:20 time: 0.2861 data_time: 0.0194 memory: 6334 grad_norm: 2.5270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6929 loss: 2.6929 2022/08/14 12:02:17 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 7.0262e-02 eta: 1 day, 23:36:52 time: 0.2826 data_time: 0.0199 memory: 6334 grad_norm: 2.5115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1128 loss: 3.1128 2022/08/14 12:02:46 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 7.0262e-02 eta: 1 day, 23:36:24 time: 0.2832 data_time: 0.0182 memory: 6334 grad_norm: 2.5512 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7486 loss: 2.7486 2022/08/14 12:03:15 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 7.0262e-02 eta: 1 day, 23:35:56 time: 0.2833 data_time: 0.0174 memory: 6334 grad_norm: 2.5609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7782 loss: 2.7782 2022/08/14 12:03:44 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 7.0262e-02 eta: 1 day, 23:35:29 time: 0.2870 data_time: 0.0191 memory: 6334 grad_norm: 2.5246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2685 loss: 3.2685 2022/08/14 12:04:12 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 7.0262e-02 eta: 1 day, 23:35:01 time: 0.2840 data_time: 0.0175 memory: 6334 grad_norm: 2.5006 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8920 loss: 2.8920 2022/08/14 12:04:41 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 7.0262e-02 eta: 1 day, 23:34:33 time: 0.2865 data_time: 0.0189 memory: 6334 grad_norm: 2.5352 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2841 loss: 3.2841 2022/08/14 12:05:10 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 7.0262e-02 eta: 1 day, 23:34:05 time: 0.2874 data_time: 0.0188 memory: 6334 grad_norm: 2.5256 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9963 loss: 2.9963 2022/08/14 12:05:38 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 7.0262e-02 eta: 1 day, 23:33:37 time: 0.2848 data_time: 0.0193 memory: 6334 grad_norm: 2.4224 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1833 loss: 3.1833 2022/08/14 12:05:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:05:54 - mmengine - INFO - Epoch(train) [95][3757/3757] lr: 7.0262e-02 eta: 1 day, 23:33:26 time: 0.2627 data_time: 0.0152 memory: 6334 grad_norm: 2.5129 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.9925 loss: 2.9925 2022/08/14 12:06:16 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:00:47 time: 0.2243 data_time: 0.1280 memory: 1152 2022/08/14 12:06:37 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:00:21 time: 0.1920 data_time: 0.0984 memory: 1152 2022/08/14 12:06:59 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:02 time: 0.2194 data_time: 0.1233 memory: 1152 2022/08/14 12:07:02 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.3813 acc/top5: 0.6637 acc/mean1: 0.3811 2022/08/14 12:07:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:07:33 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 6.9700e-02 eta: 1 day, 23:32:49 time: 0.2844 data_time: 0.0201 memory: 6334 grad_norm: 2.5007 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8082 loss: 2.8082 2022/08/14 12:08:02 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 6.9700e-02 eta: 1 day, 23:32:21 time: 0.2863 data_time: 0.0201 memory: 6334 grad_norm: 2.5076 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2284 loss: 3.2284 2022/08/14 12:08:30 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 6.9700e-02 eta: 1 day, 23:31:53 time: 0.2834 data_time: 0.0181 memory: 6334 grad_norm: 2.5313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7159 loss: 2.7159 2022/08/14 12:08:59 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 6.9700e-02 eta: 1 day, 23:31:25 time: 0.2863 data_time: 0.0188 memory: 6334 grad_norm: 2.5471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9455 loss: 2.9455 2022/08/14 12:09:28 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 6.9700e-02 eta: 1 day, 23:30:57 time: 0.2829 data_time: 0.0168 memory: 6334 grad_norm: 2.5341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8880 loss: 2.8880 2022/08/14 12:09:56 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 6.9700e-02 eta: 1 day, 23:30:29 time: 0.2825 data_time: 0.0184 memory: 6334 grad_norm: 2.5544 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0080 loss: 3.0080 2022/08/14 12:10:25 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 6.9700e-02 eta: 1 day, 23:30:01 time: 0.2847 data_time: 0.0184 memory: 6334 grad_norm: 2.5757 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2711 loss: 3.2711 2022/08/14 12:10:54 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 6.9700e-02 eta: 1 day, 23:29:33 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.4922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8048 loss: 2.8048 2022/08/14 12:11:22 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 6.9700e-02 eta: 1 day, 23:29:05 time: 0.2851 data_time: 0.0193 memory: 6334 grad_norm: 2.5285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8463 loss: 2.8463 2022/08/14 12:11:51 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 6.9700e-02 eta: 1 day, 23:28:37 time: 0.2837 data_time: 0.0178 memory: 6334 grad_norm: 2.5308 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0680 loss: 3.0680 2022/08/14 12:12:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:12:20 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 6.9700e-02 eta: 1 day, 23:28:09 time: 0.2851 data_time: 0.0196 memory: 6334 grad_norm: 2.5524 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2764 loss: 3.2764 2022/08/14 12:12:48 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 6.9700e-02 eta: 1 day, 23:27:42 time: 0.2838 data_time: 0.0176 memory: 6334 grad_norm: 2.5697 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1165 loss: 3.1165 2022/08/14 12:13:17 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 6.9700e-02 eta: 1 day, 23:27:13 time: 0.2830 data_time: 0.0183 memory: 6334 grad_norm: 2.5284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9838 loss: 2.9838 2022/08/14 12:13:45 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 6.9700e-02 eta: 1 day, 23:26:46 time: 0.2833 data_time: 0.0178 memory: 6334 grad_norm: 2.4701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6505 loss: 2.6505 2022/08/14 12:14:14 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 6.9700e-02 eta: 1 day, 23:26:18 time: 0.2837 data_time: 0.0185 memory: 6334 grad_norm: 2.5203 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8945 loss: 2.8945 2022/08/14 12:14:43 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 6.9700e-02 eta: 1 day, 23:25:50 time: 0.2899 data_time: 0.0179 memory: 6334 grad_norm: 2.5299 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0017 loss: 3.0017 2022/08/14 12:15:11 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 6.9700e-02 eta: 1 day, 23:25:22 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.5131 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8725 loss: 2.8725 2022/08/14 12:15:40 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 6.9700e-02 eta: 1 day, 23:24:54 time: 0.2866 data_time: 0.0189 memory: 6334 grad_norm: 2.5066 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0854 loss: 3.0854 2022/08/14 12:16:09 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 6.9700e-02 eta: 1 day, 23:24:26 time: 0.2840 data_time: 0.0181 memory: 6334 grad_norm: 2.5487 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0462 loss: 3.0462 2022/08/14 12:16:37 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 6.9700e-02 eta: 1 day, 23:23:58 time: 0.2841 data_time: 0.0201 memory: 6334 grad_norm: 2.5257 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9709 loss: 2.9709 2022/08/14 12:17:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:17:06 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 6.9700e-02 eta: 1 day, 23:23:31 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.4443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8911 loss: 2.8911 2022/08/14 12:17:35 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 6.9700e-02 eta: 1 day, 23:23:03 time: 0.2835 data_time: 0.0179 memory: 6334 grad_norm: 2.5047 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0643 loss: 3.0643 2022/08/14 12:18:04 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 6.9700e-02 eta: 1 day, 23:22:35 time: 0.2873 data_time: 0.0185 memory: 6334 grad_norm: 2.5553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0589 loss: 3.0589 2022/08/14 12:18:32 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 6.9700e-02 eta: 1 day, 23:22:07 time: 0.2841 data_time: 0.0181 memory: 6334 grad_norm: 2.5658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8001 loss: 2.8001 2022/08/14 12:19:01 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 6.9700e-02 eta: 1 day, 23:21:39 time: 0.2827 data_time: 0.0182 memory: 6334 grad_norm: 2.5081 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0082 loss: 3.0082 2022/08/14 12:19:30 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 6.9700e-02 eta: 1 day, 23:21:11 time: 0.2852 data_time: 0.0190 memory: 6334 grad_norm: 2.4676 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9642 loss: 2.9642 2022/08/14 12:19:58 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 6.9700e-02 eta: 1 day, 23:20:43 time: 0.2835 data_time: 0.0184 memory: 6334 grad_norm: 2.5876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0730 loss: 3.0730 2022/08/14 12:20:27 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 6.9700e-02 eta: 1 day, 23:20:16 time: 0.2853 data_time: 0.0183 memory: 6334 grad_norm: 2.5320 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0779 loss: 3.0779 2022/08/14 12:20:56 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 6.9700e-02 eta: 1 day, 23:19:48 time: 0.2850 data_time: 0.0178 memory: 6334 grad_norm: 2.5408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1776 loss: 3.1776 2022/08/14 12:21:24 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 6.9700e-02 eta: 1 day, 23:19:20 time: 0.2860 data_time: 0.0205 memory: 6334 grad_norm: 2.5204 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8378 loss: 2.8378 2022/08/14 12:21:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:21:53 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 6.9700e-02 eta: 1 day, 23:18:52 time: 0.2977 data_time: 0.0172 memory: 6334 grad_norm: 2.5793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.3659 loss: 3.3659 2022/08/14 12:22:22 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 6.9700e-02 eta: 1 day, 23:18:24 time: 0.2920 data_time: 0.0211 memory: 6334 grad_norm: 2.5382 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0133 loss: 3.0133 2022/08/14 12:22:51 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 6.9700e-02 eta: 1 day, 23:17:57 time: 0.2844 data_time: 0.0179 memory: 6334 grad_norm: 2.5940 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1385 loss: 3.1385 2022/08/14 12:23:19 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 6.9700e-02 eta: 1 day, 23:17:28 time: 0.2835 data_time: 0.0181 memory: 6334 grad_norm: 2.4469 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7601 loss: 2.7601 2022/08/14 12:23:48 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 6.9700e-02 eta: 1 day, 23:17:00 time: 0.2833 data_time: 0.0173 memory: 6334 grad_norm: 2.5198 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1346 loss: 3.1346 2022/08/14 12:24:16 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 6.9700e-02 eta: 1 day, 23:16:32 time: 0.2813 data_time: 0.0184 memory: 6334 grad_norm: 2.5465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1416 loss: 3.1416 2022/08/14 12:24:45 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 6.9700e-02 eta: 1 day, 23:16:04 time: 0.2845 data_time: 0.0205 memory: 6334 grad_norm: 2.5150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5334 loss: 2.5334 2022/08/14 12:25:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:25:01 - mmengine - INFO - Epoch(train) [96][3757/3757] lr: 6.9700e-02 eta: 1 day, 23:15:53 time: 0.2729 data_time: 0.0162 memory: 6334 grad_norm: 2.5517 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 3.4246 loss: 3.4246 2022/08/14 12:25:01 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/14 12:25:34 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 6.9134e-02 eta: 1 day, 23:15:14 time: 0.2880 data_time: 0.0190 memory: 6334 grad_norm: 2.5735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9880 loss: 2.9880 2022/08/14 12:26:03 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 6.9134e-02 eta: 1 day, 23:14:47 time: 0.2974 data_time: 0.0180 memory: 6334 grad_norm: 2.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1909 loss: 3.1909 2022/08/14 12:26:32 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 6.9134e-02 eta: 1 day, 23:14:19 time: 0.2867 data_time: 0.0189 memory: 6334 grad_norm: 2.5065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7574 loss: 2.7574 2022/08/14 12:26:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:27:01 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 6.9134e-02 eta: 1 day, 23:13:51 time: 0.2842 data_time: 0.0186 memory: 6334 grad_norm: 2.5623 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9546 loss: 2.9546 2022/08/14 12:27:29 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 6.9134e-02 eta: 1 day, 23:13:23 time: 0.2836 data_time: 0.0192 memory: 6334 grad_norm: 2.5936 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9826 loss: 2.9826 2022/08/14 12:27:58 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 6.9134e-02 eta: 1 day, 23:12:55 time: 0.2834 data_time: 0.0195 memory: 6334 grad_norm: 2.4437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9429 loss: 2.9429 2022/08/14 12:28:27 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 6.9134e-02 eta: 1 day, 23:12:27 time: 0.2883 data_time: 0.0187 memory: 6334 grad_norm: 2.5446 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/08/14 12:28:56 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 6.9134e-02 eta: 1 day, 23:12:01 time: 0.3074 data_time: 0.0181 memory: 6334 grad_norm: 2.5155 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9425 loss: 2.9425 2022/08/14 12:29:25 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 6.9134e-02 eta: 1 day, 23:11:33 time: 0.2917 data_time: 0.0192 memory: 6334 grad_norm: 2.5675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9159 loss: 2.9159 2022/08/14 12:29:53 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 6.9134e-02 eta: 1 day, 23:11:05 time: 0.2834 data_time: 0.0185 memory: 6334 grad_norm: 2.5431 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1235 loss: 3.1235 2022/08/14 12:30:22 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 6.9134e-02 eta: 1 day, 23:10:37 time: 0.2835 data_time: 0.0172 memory: 6334 grad_norm: 2.4944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0429 loss: 3.0429 2022/08/14 12:30:51 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 6.9134e-02 eta: 1 day, 23:10:09 time: 0.2831 data_time: 0.0185 memory: 6334 grad_norm: 2.4955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1089 loss: 3.1089 2022/08/14 12:31:19 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 6.9134e-02 eta: 1 day, 23:09:41 time: 0.2847 data_time: 0.0186 memory: 6334 grad_norm: 2.5068 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8335 loss: 2.8335 2022/08/14 12:31:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:31:48 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 6.9134e-02 eta: 1 day, 23:09:13 time: 0.2836 data_time: 0.0181 memory: 6334 grad_norm: 2.4906 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8565 loss: 2.8565 2022/08/14 12:32:16 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 6.9134e-02 eta: 1 day, 23:08:45 time: 0.2838 data_time: 0.0179 memory: 6334 grad_norm: 2.5333 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1539 loss: 3.1539 2022/08/14 12:32:45 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 6.9134e-02 eta: 1 day, 23:08:17 time: 0.2862 data_time: 0.0185 memory: 6334 grad_norm: 2.5245 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9968 loss: 2.9968 2022/08/14 12:33:14 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 6.9134e-02 eta: 1 day, 23:07:49 time: 0.2850 data_time: 0.0188 memory: 6334 grad_norm: 2.5221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7504 loss: 2.7504 2022/08/14 12:33:42 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 6.9134e-02 eta: 1 day, 23:07:21 time: 0.2903 data_time: 0.0197 memory: 6334 grad_norm: 2.5627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9046 loss: 2.9046 2022/08/14 12:34:11 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 6.9134e-02 eta: 1 day, 23:06:53 time: 0.2833 data_time: 0.0189 memory: 6334 grad_norm: 2.5462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1010 loss: 3.1010 2022/08/14 12:34:40 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 6.9134e-02 eta: 1 day, 23:06:25 time: 0.2851 data_time: 0.0182 memory: 6334 grad_norm: 2.5790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8795 loss: 2.8795 2022/08/14 12:35:08 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 6.9134e-02 eta: 1 day, 23:05:58 time: 0.2855 data_time: 0.0176 memory: 6334 grad_norm: 2.5058 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7400 loss: 2.7400 2022/08/14 12:35:37 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 6.9134e-02 eta: 1 day, 23:05:30 time: 0.2855 data_time: 0.0185 memory: 6334 grad_norm: 2.6323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8916 loss: 2.8916 2022/08/14 12:36:06 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 6.9134e-02 eta: 1 day, 23:05:02 time: 0.2846 data_time: 0.0185 memory: 6334 grad_norm: 2.5047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7824 loss: 2.7824 2022/08/14 12:36:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:36:35 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 6.9134e-02 eta: 1 day, 23:04:34 time: 0.2848 data_time: 0.0220 memory: 6334 grad_norm: 2.5241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2655 loss: 3.2655 2022/08/14 12:37:03 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 6.9134e-02 eta: 1 day, 23:04:06 time: 0.2855 data_time: 0.0204 memory: 6334 grad_norm: 2.5101 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9581 loss: 2.9581 2022/08/14 12:37:32 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 6.9134e-02 eta: 1 day, 23:03:39 time: 0.2848 data_time: 0.0180 memory: 6334 grad_norm: 2.5516 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8956 loss: 2.8956 2022/08/14 12:38:01 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 6.9134e-02 eta: 1 day, 23:03:11 time: 0.2842 data_time: 0.0202 memory: 6334 grad_norm: 2.5225 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0431 loss: 3.0431 2022/08/14 12:38:29 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 6.9134e-02 eta: 1 day, 23:02:43 time: 0.2846 data_time: 0.0190 memory: 6334 grad_norm: 2.5358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1034 loss: 3.1034 2022/08/14 12:38:58 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 6.9134e-02 eta: 1 day, 23:02:15 time: 0.2829 data_time: 0.0181 memory: 6334 grad_norm: 2.5674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0874 loss: 3.0874 2022/08/14 12:39:27 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 6.9134e-02 eta: 1 day, 23:01:47 time: 0.2886 data_time: 0.0183 memory: 6334 grad_norm: 2.5286 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9861 loss: 2.9861 2022/08/14 12:39:56 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 6.9134e-02 eta: 1 day, 23:01:19 time: 0.2848 data_time: 0.0176 memory: 6334 grad_norm: 2.4975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6246 loss: 2.6246 2022/08/14 12:40:24 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 6.9134e-02 eta: 1 day, 23:00:51 time: 0.2849 data_time: 0.0193 memory: 6334 grad_norm: 2.5645 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9937 loss: 2.9937 2022/08/14 12:40:53 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 6.9134e-02 eta: 1 day, 23:00:23 time: 0.2862 data_time: 0.0201 memory: 6334 grad_norm: 2.5052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9985 loss: 2.9985 2022/08/14 12:41:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:41:22 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 6.9134e-02 eta: 1 day, 22:59:56 time: 0.2849 data_time: 0.0203 memory: 6334 grad_norm: 2.5160 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9483 loss: 2.9483 2022/08/14 12:41:50 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 6.9134e-02 eta: 1 day, 22:59:28 time: 0.2830 data_time: 0.0183 memory: 6334 grad_norm: 2.4745 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2378 loss: 3.2378 2022/08/14 12:42:19 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 6.9134e-02 eta: 1 day, 22:59:00 time: 0.2842 data_time: 0.0186 memory: 6334 grad_norm: 2.6041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8513 loss: 2.8513 2022/08/14 12:42:48 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 6.9134e-02 eta: 1 day, 22:58:32 time: 0.2860 data_time: 0.0200 memory: 6334 grad_norm: 2.4765 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1645 loss: 3.1645 2022/08/14 12:43:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:43:03 - mmengine - INFO - Epoch(train) [97][3757/3757] lr: 6.9134e-02 eta: 1 day, 22:58:21 time: 0.2646 data_time: 0.0156 memory: 6334 grad_norm: 2.4846 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0147 loss: 3.0147 2022/08/14 12:43:34 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 6.8566e-02 eta: 1 day, 22:57:44 time: 0.2840 data_time: 0.0178 memory: 6334 grad_norm: 2.4966 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9275 loss: 2.9275 2022/08/14 12:44:03 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 6.8566e-02 eta: 1 day, 22:57:16 time: 0.2880 data_time: 0.0192 memory: 6334 grad_norm: 2.5153 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8874 loss: 2.8874 2022/08/14 12:44:32 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 6.8566e-02 eta: 1 day, 22:56:49 time: 0.2846 data_time: 0.0181 memory: 6334 grad_norm: 2.6042 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1298 loss: 3.1298 2022/08/14 12:45:01 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 6.8566e-02 eta: 1 day, 22:56:21 time: 0.2840 data_time: 0.0180 memory: 6334 grad_norm: 2.5494 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8680 loss: 2.8680 2022/08/14 12:45:30 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 6.8566e-02 eta: 1 day, 22:55:53 time: 0.2825 data_time: 0.0177 memory: 6334 grad_norm: 2.4913 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7463 loss: 2.7463 2022/08/14 12:45:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:45:59 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 6.8566e-02 eta: 1 day, 22:55:25 time: 0.2834 data_time: 0.0183 memory: 6334 grad_norm: 2.4721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9206 loss: 2.9206 2022/08/14 12:46:27 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 6.8566e-02 eta: 1 day, 22:54:58 time: 0.2838 data_time: 0.0172 memory: 6334 grad_norm: 2.6662 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8882 loss: 2.8882 2022/08/14 12:46:56 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 6.8566e-02 eta: 1 day, 22:54:30 time: 0.2881 data_time: 0.0213 memory: 6334 grad_norm: 2.5661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2302 loss: 3.2302 2022/08/14 12:47:25 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 6.8566e-02 eta: 1 day, 22:54:02 time: 0.2836 data_time: 0.0196 memory: 6334 grad_norm: 2.5126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0795 loss: 3.0795 2022/08/14 12:47:54 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 6.8566e-02 eta: 1 day, 22:53:35 time: 0.2871 data_time: 0.0180 memory: 6334 grad_norm: 2.5829 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.1046 loss: 3.1046 2022/08/14 12:48:22 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 6.8566e-02 eta: 1 day, 22:53:07 time: 0.2861 data_time: 0.0203 memory: 6334 grad_norm: 2.4623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1487 loss: 3.1487 2022/08/14 12:48:51 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 6.8566e-02 eta: 1 day, 22:52:39 time: 0.2841 data_time: 0.0177 memory: 6334 grad_norm: 2.6407 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0372 loss: 3.0372 2022/08/14 12:49:20 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 6.8566e-02 eta: 1 day, 22:52:11 time: 0.2847 data_time: 0.0179 memory: 6334 grad_norm: 2.6260 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0044 loss: 3.0044 2022/08/14 12:49:49 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 6.8566e-02 eta: 1 day, 22:51:44 time: 0.2830 data_time: 0.0177 memory: 6334 grad_norm: 2.5618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9376 loss: 2.9376 2022/08/14 12:50:18 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 6.8566e-02 eta: 1 day, 22:51:16 time: 0.2858 data_time: 0.0190 memory: 6334 grad_norm: 2.5762 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1163 loss: 3.1163 2022/08/14 12:50:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:50:46 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 6.8566e-02 eta: 1 day, 22:50:48 time: 0.2852 data_time: 0.0178 memory: 6334 grad_norm: 2.5372 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9675 loss: 2.9675 2022/08/14 12:51:15 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 6.8566e-02 eta: 1 day, 22:50:20 time: 0.2870 data_time: 0.0198 memory: 6334 grad_norm: 2.6155 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2079 loss: 3.2079 2022/08/14 12:51:44 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 6.8566e-02 eta: 1 day, 22:49:52 time: 0.2857 data_time: 0.0190 memory: 6334 grad_norm: 2.5153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2336 loss: 3.2336 2022/08/14 12:52:13 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 6.8566e-02 eta: 1 day, 22:49:25 time: 0.2863 data_time: 0.0188 memory: 6334 grad_norm: 2.5777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8353 loss: 2.8353 2022/08/14 12:52:41 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 6.8566e-02 eta: 1 day, 22:48:56 time: 0.2835 data_time: 0.0179 memory: 6334 grad_norm: 2.6066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3989 loss: 3.3989 2022/08/14 12:53:10 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 6.8566e-02 eta: 1 day, 22:48:29 time: 0.2850 data_time: 0.0185 memory: 6334 grad_norm: 2.5715 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0309 loss: 3.0309 2022/08/14 12:53:39 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 6.8566e-02 eta: 1 day, 22:48:01 time: 0.2864 data_time: 0.0188 memory: 6334 grad_norm: 2.5519 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9180 loss: 2.9180 2022/08/14 12:54:07 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 6.8566e-02 eta: 1 day, 22:47:33 time: 0.2846 data_time: 0.0185 memory: 6334 grad_norm: 2.5575 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8750 loss: 2.8750 2022/08/14 12:54:36 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 6.8566e-02 eta: 1 day, 22:47:05 time: 0.2856 data_time: 0.0175 memory: 6334 grad_norm: 2.5347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8705 loss: 2.8705 2022/08/14 12:55:05 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 6.8566e-02 eta: 1 day, 22:46:37 time: 0.2869 data_time: 0.0191 memory: 6334 grad_norm: 2.4776 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9707 loss: 2.9707 2022/08/14 12:55:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 12:55:33 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 6.8566e-02 eta: 1 day, 22:46:09 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.5514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9739 loss: 2.9739 2022/08/14 12:56:02 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 6.8566e-02 eta: 1 day, 22:45:42 time: 0.2845 data_time: 0.0175 memory: 6334 grad_norm: 2.5094 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0262 loss: 3.0262 2022/08/14 12:56:31 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 6.8566e-02 eta: 1 day, 22:45:14 time: 0.2839 data_time: 0.0183 memory: 6334 grad_norm: 2.4810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0085 loss: 3.0085 2022/08/14 12:57:00 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 6.8566e-02 eta: 1 day, 22:44:46 time: 0.2847 data_time: 0.0183 memory: 6334 grad_norm: 2.5797 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2353 loss: 3.2353 2022/08/14 12:57:28 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 6.8566e-02 eta: 1 day, 22:44:18 time: 0.2867 data_time: 0.0188 memory: 6334 grad_norm: 2.5478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2216 loss: 3.2216 2022/08/14 12:57:57 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 6.8566e-02 eta: 1 day, 22:43:50 time: 0.2852 data_time: 0.0190 memory: 6334 grad_norm: 2.5239 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9097 loss: 2.9097 2022/08/14 12:58:26 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 6.8566e-02 eta: 1 day, 22:43:22 time: 0.2862 data_time: 0.0198 memory: 6334 grad_norm: 2.5466 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8924 loss: 2.8924 2022/08/14 12:58:55 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 6.8566e-02 eta: 1 day, 22:42:55 time: 0.2859 data_time: 0.0187 memory: 6334 grad_norm: 2.5551 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8791 loss: 2.8791 2022/08/14 12:59:23 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 6.8566e-02 eta: 1 day, 22:42:27 time: 0.2853 data_time: 0.0181 memory: 6334 grad_norm: 2.5412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7166 loss: 2.7166 2022/08/14 12:59:52 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 6.8566e-02 eta: 1 day, 22:41:59 time: 0.2839 data_time: 0.0179 memory: 6334 grad_norm: 2.5883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9770 loss: 2.9770 2022/08/14 13:00:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:00:21 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 6.8566e-02 eta: 1 day, 22:41:31 time: 0.2880 data_time: 0.0184 memory: 6334 grad_norm: 2.5249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1530 loss: 3.1530 2022/08/14 13:00:49 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 6.8566e-02 eta: 1 day, 22:41:03 time: 0.2863 data_time: 0.0188 memory: 6334 grad_norm: 2.5503 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1417 loss: 3.1417 2022/08/14 13:01:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:01:05 - mmengine - INFO - Epoch(train) [98][3757/3757] lr: 6.8566e-02 eta: 1 day, 22:40:52 time: 0.2640 data_time: 0.0152 memory: 6334 grad_norm: 2.5799 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.6220 loss: 2.6220 2022/08/14 13:01:36 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 6.7995e-02 eta: 1 day, 22:40:15 time: 0.2870 data_time: 0.0199 memory: 6334 grad_norm: 2.5566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1606 loss: 3.1606 2022/08/14 13:02:05 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 6.7995e-02 eta: 1 day, 22:39:47 time: 0.2861 data_time: 0.0192 memory: 6334 grad_norm: 2.5336 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9089 loss: 2.9089 2022/08/14 13:02:34 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 6.7995e-02 eta: 1 day, 22:39:19 time: 0.2839 data_time: 0.0174 memory: 6334 grad_norm: 2.5618 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1009 loss: 3.1009 2022/08/14 13:03:02 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 6.7995e-02 eta: 1 day, 22:38:51 time: 0.2844 data_time: 0.0181 memory: 6334 grad_norm: 2.5729 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8503 loss: 2.8503 2022/08/14 13:03:31 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 6.7995e-02 eta: 1 day, 22:38:24 time: 0.2831 data_time: 0.0177 memory: 6334 grad_norm: 2.5902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9179 loss: 2.9179 2022/08/14 13:04:00 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 6.7995e-02 eta: 1 day, 22:37:56 time: 0.2893 data_time: 0.0177 memory: 6334 grad_norm: 2.6045 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9770 loss: 2.9770 2022/08/14 13:04:29 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 6.7995e-02 eta: 1 day, 22:37:28 time: 0.2844 data_time: 0.0182 memory: 6334 grad_norm: 2.4864 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0476 loss: 3.0476 2022/08/14 13:04:57 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 6.7995e-02 eta: 1 day, 22:37:00 time: 0.2883 data_time: 0.0190 memory: 6334 grad_norm: 2.6051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1167 loss: 3.1167 2022/08/14 13:05:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:05:26 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 6.7995e-02 eta: 1 day, 22:36:32 time: 0.2861 data_time: 0.0188 memory: 6334 grad_norm: 2.5914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5618 loss: 2.5618 2022/08/14 13:05:55 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 6.7995e-02 eta: 1 day, 22:36:05 time: 0.2876 data_time: 0.0172 memory: 6334 grad_norm: 2.5435 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0928 loss: 3.0928 2022/08/14 13:06:23 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 6.7995e-02 eta: 1 day, 22:35:37 time: 0.2838 data_time: 0.0182 memory: 6334 grad_norm: 2.5967 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0076 loss: 3.0076 2022/08/14 13:06:52 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 6.7995e-02 eta: 1 day, 22:35:09 time: 0.2845 data_time: 0.0180 memory: 6334 grad_norm: 2.6117 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6567 loss: 2.6567 2022/08/14 13:07:21 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 6.7995e-02 eta: 1 day, 22:34:41 time: 0.2849 data_time: 0.0180 memory: 6334 grad_norm: 2.5665 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2236 loss: 3.2236 2022/08/14 13:07:50 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 6.7995e-02 eta: 1 day, 22:34:13 time: 0.2885 data_time: 0.0192 memory: 6334 grad_norm: 2.5295 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2493 loss: 3.2493 2022/08/14 13:08:18 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 6.7995e-02 eta: 1 day, 22:33:45 time: 0.2883 data_time: 0.0192 memory: 6334 grad_norm: 2.5586 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8539 loss: 2.8539 2022/08/14 13:08:47 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 6.7995e-02 eta: 1 day, 22:33:18 time: 0.2859 data_time: 0.0176 memory: 6334 grad_norm: 2.4850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8073 loss: 2.8073 2022/08/14 13:09:16 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 6.7995e-02 eta: 1 day, 22:32:50 time: 0.2887 data_time: 0.0188 memory: 6334 grad_norm: 2.6439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9522 loss: 2.9522 2022/08/14 13:09:45 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 6.7995e-02 eta: 1 day, 22:32:22 time: 0.2843 data_time: 0.0185 memory: 6334 grad_norm: 2.6325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7924 loss: 2.7924 2022/08/14 13:09:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:10:13 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 6.7995e-02 eta: 1 day, 22:31:54 time: 0.2845 data_time: 0.0188 memory: 6334 grad_norm: 2.5817 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9859 loss: 2.9859 2022/08/14 13:10:42 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 6.7995e-02 eta: 1 day, 22:31:27 time: 0.2848 data_time: 0.0186 memory: 6334 grad_norm: 2.6053 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0732 loss: 3.0732 2022/08/14 13:11:11 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 6.7995e-02 eta: 1 day, 22:30:59 time: 0.2860 data_time: 0.0182 memory: 6334 grad_norm: 2.5555 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7972 loss: 2.7972 2022/08/14 13:11:40 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 6.7995e-02 eta: 1 day, 22:30:31 time: 0.2900 data_time: 0.0190 memory: 6334 grad_norm: 2.5926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1474 loss: 3.1474 2022/08/14 13:12:09 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 6.7995e-02 eta: 1 day, 22:30:03 time: 0.2859 data_time: 0.0184 memory: 6334 grad_norm: 2.6251 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7211 loss: 2.7211 2022/08/14 13:12:37 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 6.7995e-02 eta: 1 day, 22:29:36 time: 0.2866 data_time: 0.0188 memory: 6334 grad_norm: 2.5602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0051 loss: 3.0051 2022/08/14 13:13:06 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 6.7995e-02 eta: 1 day, 22:29:08 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.4751 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1403 loss: 3.1403 2022/08/14 13:13:35 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 6.7995e-02 eta: 1 day, 22:28:40 time: 0.2889 data_time: 0.0187 memory: 6334 grad_norm: 2.4824 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3149 loss: 3.3149 2022/08/14 13:14:04 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 6.7995e-02 eta: 1 day, 22:28:12 time: 0.2832 data_time: 0.0192 memory: 6334 grad_norm: 2.5466 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9954 loss: 2.9954 2022/08/14 13:14:33 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 6.7995e-02 eta: 1 day, 22:27:45 time: 0.2843 data_time: 0.0192 memory: 6334 grad_norm: 2.5965 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2294 loss: 3.2294 2022/08/14 13:14:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:15:01 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 6.7995e-02 eta: 1 day, 22:27:17 time: 0.2839 data_time: 0.0186 memory: 6334 grad_norm: 2.5516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2984 loss: 3.2984 2022/08/14 13:15:30 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 6.7995e-02 eta: 1 day, 22:26:49 time: 0.2842 data_time: 0.0176 memory: 6334 grad_norm: 2.4593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8501 loss: 2.8501 2022/08/14 13:15:59 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 6.7995e-02 eta: 1 day, 22:26:22 time: 0.2971 data_time: 0.0190 memory: 6334 grad_norm: 2.5368 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9726 loss: 2.9726 2022/08/14 13:16:28 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 6.7995e-02 eta: 1 day, 22:25:54 time: 0.2845 data_time: 0.0179 memory: 6334 grad_norm: 2.5239 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5161 loss: 2.5161 2022/08/14 13:16:57 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 6.7995e-02 eta: 1 day, 22:25:26 time: 0.2850 data_time: 0.0187 memory: 6334 grad_norm: 2.5324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2332 loss: 3.2332 2022/08/14 13:17:26 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 6.7995e-02 eta: 1 day, 22:24:59 time: 0.2884 data_time: 0.0201 memory: 6334 grad_norm: 2.5409 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6925 loss: 2.6925 2022/08/14 13:17:55 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 6.7995e-02 eta: 1 day, 22:24:31 time: 0.2848 data_time: 0.0178 memory: 6334 grad_norm: 2.5827 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2580 loss: 3.2580 2022/08/14 13:18:23 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 6.7995e-02 eta: 1 day, 22:24:03 time: 0.2848 data_time: 0.0183 memory: 6334 grad_norm: 2.6048 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0019 loss: 3.0019 2022/08/14 13:18:52 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 6.7995e-02 eta: 1 day, 22:23:36 time: 0.2858 data_time: 0.0170 memory: 6334 grad_norm: 2.5666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9354 loss: 2.9354 2022/08/14 13:19:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:19:08 - mmengine - INFO - Epoch(train) [99][3757/3757] lr: 6.7995e-02 eta: 1 day, 22:23:24 time: 0.2641 data_time: 0.0157 memory: 6334 grad_norm: 2.6067 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.1125 loss: 3.1125 2022/08/14 13:19:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:19:40 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 6.7421e-02 eta: 1 day, 22:22:48 time: 0.2846 data_time: 0.0195 memory: 6334 grad_norm: 2.5820 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9684 loss: 2.9684 2022/08/14 13:20:08 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 6.7421e-02 eta: 1 day, 22:22:21 time: 0.2857 data_time: 0.0181 memory: 6334 grad_norm: 2.5325 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0374 loss: 3.0374 2022/08/14 13:20:37 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 6.7421e-02 eta: 1 day, 22:21:53 time: 0.2870 data_time: 0.0197 memory: 6334 grad_norm: 2.6215 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9749 loss: 2.9749 2022/08/14 13:21:06 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 6.7421e-02 eta: 1 day, 22:21:25 time: 0.2849 data_time: 0.0189 memory: 6334 grad_norm: 2.5434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4525 loss: 3.4525 2022/08/14 13:21:35 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 6.7421e-02 eta: 1 day, 22:20:57 time: 0.2860 data_time: 0.0192 memory: 6334 grad_norm: 2.4366 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7393 loss: 2.7393 2022/08/14 13:22:03 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 6.7421e-02 eta: 1 day, 22:20:30 time: 0.2851 data_time: 0.0174 memory: 6334 grad_norm: 2.5482 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0637 loss: 3.0637 2022/08/14 13:22:32 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 6.7421e-02 eta: 1 day, 22:20:02 time: 0.2835 data_time: 0.0176 memory: 6334 grad_norm: 2.5891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8935 loss: 2.8935 2022/08/14 13:23:01 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 6.7421e-02 eta: 1 day, 22:19:34 time: 0.2859 data_time: 0.0183 memory: 6334 grad_norm: 2.5668 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1595 loss: 3.1595 2022/08/14 13:23:30 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 6.7421e-02 eta: 1 day, 22:19:06 time: 0.2845 data_time: 0.0174 memory: 6334 grad_norm: 2.6762 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9485 loss: 2.9485 2022/08/14 13:23:58 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 6.7421e-02 eta: 1 day, 22:18:38 time: 0.2865 data_time: 0.0194 memory: 6334 grad_norm: 2.6788 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4000 loss: 3.4000 2022/08/14 13:24:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:24:27 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 6.7421e-02 eta: 1 day, 22:18:10 time: 0.2849 data_time: 0.0190 memory: 6334 grad_norm: 2.5679 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4137 loss: 3.4137 2022/08/14 13:24:56 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 6.7421e-02 eta: 1 day, 22:17:43 time: 0.2905 data_time: 0.0190 memory: 6334 grad_norm: 2.6105 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7916 loss: 2.7916 2022/08/14 13:25:25 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 6.7421e-02 eta: 1 day, 22:17:15 time: 0.2841 data_time: 0.0184 memory: 6334 grad_norm: 2.5057 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0191 loss: 3.0191 2022/08/14 13:25:53 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 6.7421e-02 eta: 1 day, 22:16:47 time: 0.2848 data_time: 0.0183 memory: 6334 grad_norm: 2.5678 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8088 loss: 2.8088 2022/08/14 13:26:22 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 6.7421e-02 eta: 1 day, 22:16:19 time: 0.2853 data_time: 0.0187 memory: 6334 grad_norm: 2.5360 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9734 loss: 2.9734 2022/08/14 13:26:51 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 6.7421e-02 eta: 1 day, 22:15:51 time: 0.2913 data_time: 0.0199 memory: 6334 grad_norm: 2.5521 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6139 loss: 2.6139 2022/08/14 13:27:20 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 6.7421e-02 eta: 1 day, 22:15:24 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.5819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7755 loss: 2.7755 2022/08/14 13:27:49 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 6.7421e-02 eta: 1 day, 22:14:56 time: 0.2872 data_time: 0.0197 memory: 6334 grad_norm: 2.5409 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8474 loss: 2.8474 2022/08/14 13:28:17 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 6.7421e-02 eta: 1 day, 22:14:28 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.5151 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7244 loss: 2.7244 2022/08/14 13:28:46 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 6.7421e-02 eta: 1 day, 22:14:01 time: 0.2875 data_time: 0.0188 memory: 6334 grad_norm: 2.5475 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6178 loss: 2.6178 2022/08/14 13:29:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:29:15 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 6.7421e-02 eta: 1 day, 22:13:33 time: 0.2841 data_time: 0.0185 memory: 6334 grad_norm: 2.6023 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8630 loss: 2.8630 2022/08/14 13:29:44 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 6.7421e-02 eta: 1 day, 22:13:05 time: 0.2836 data_time: 0.0183 memory: 6334 grad_norm: 2.5369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9552 loss: 2.9552 2022/08/14 13:30:13 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 6.7421e-02 eta: 1 day, 22:12:38 time: 0.2841 data_time: 0.0180 memory: 6334 grad_norm: 2.5309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6794 loss: 2.6794 2022/08/14 13:30:42 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 6.7421e-02 eta: 1 day, 22:12:10 time: 0.2854 data_time: 0.0199 memory: 6334 grad_norm: 2.4574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1369 loss: 3.1369 2022/08/14 13:31:11 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 6.7421e-02 eta: 1 day, 22:11:43 time: 0.2962 data_time: 0.0189 memory: 6334 grad_norm: 2.5943 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7553 loss: 2.7553 2022/08/14 13:31:40 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 6.7421e-02 eta: 1 day, 22:11:15 time: 0.2867 data_time: 0.0197 memory: 6334 grad_norm: 2.5136 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9201 loss: 2.9201 2022/08/14 13:32:08 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 6.7421e-02 eta: 1 day, 22:10:47 time: 0.2862 data_time: 0.0179 memory: 6334 grad_norm: 2.6626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9155 loss: 2.9155 2022/08/14 13:32:37 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 6.7421e-02 eta: 1 day, 22:10:20 time: 0.2849 data_time: 0.0192 memory: 6334 grad_norm: 2.6237 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1818 loss: 3.1818 2022/08/14 13:33:06 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 6.7421e-02 eta: 1 day, 22:09:52 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.5815 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9611 loss: 2.9611 2022/08/14 13:33:35 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 6.7421e-02 eta: 1 day, 22:09:24 time: 0.2844 data_time: 0.0185 memory: 6334 grad_norm: 2.5618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5718 loss: 2.5718 2022/08/14 13:33:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:34:04 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 6.7421e-02 eta: 1 day, 22:08:56 time: 0.2847 data_time: 0.0190 memory: 6334 grad_norm: 2.6276 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2326 loss: 3.2326 2022/08/14 13:34:32 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 6.7421e-02 eta: 1 day, 22:08:28 time: 0.2844 data_time: 0.0183 memory: 6334 grad_norm: 2.5550 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2192 loss: 3.2192 2022/08/14 13:35:01 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 6.7421e-02 eta: 1 day, 22:08:01 time: 0.2883 data_time: 0.0184 memory: 6334 grad_norm: 2.5730 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1338 loss: 3.1338 2022/08/14 13:35:30 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 6.7421e-02 eta: 1 day, 22:07:33 time: 0.2851 data_time: 0.0193 memory: 6334 grad_norm: 2.6540 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9561 loss: 2.9561 2022/08/14 13:35:59 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 6.7421e-02 eta: 1 day, 22:07:05 time: 0.2858 data_time: 0.0183 memory: 6334 grad_norm: 2.5268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6916 loss: 2.6916 2022/08/14 13:36:28 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 6.7421e-02 eta: 1 day, 22:06:38 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.6149 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8872 loss: 2.8872 2022/08/14 13:36:56 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 6.7421e-02 eta: 1 day, 22:06:10 time: 0.2840 data_time: 0.0184 memory: 6334 grad_norm: 2.6167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0885 loss: 3.0885 2022/08/14 13:37:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:37:12 - mmengine - INFO - Epoch(train) [100][3757/3757] lr: 6.7421e-02 eta: 1 day, 22:05:59 time: 0.2645 data_time: 0.0156 memory: 6334 grad_norm: 2.6059 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.8806 loss: 2.8806 2022/08/14 13:37:12 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/14 13:37:38 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:50 time: 0.2399 data_time: 0.1421 memory: 1152 2022/08/14 13:37:59 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:20 time: 0.1875 data_time: 0.0899 memory: 1152 2022/08/14 13:38:19 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.1576 data_time: 0.0783 memory: 1152 2022/08/14 13:38:22 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.4045 acc/top5: 0.6867 acc/mean1: 0.4044 2022/08/14 13:38:53 - mmengine - INFO - Epoch(train) [101][100/3757] lr: 6.6844e-02 eta: 1 day, 22:05:22 time: 0.2866 data_time: 0.0189 memory: 6334 grad_norm: 2.5558 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9320 loss: 2.9320 2022/08/14 13:39:22 - mmengine - INFO - Epoch(train) [101][200/3757] lr: 6.6844e-02 eta: 1 day, 22:04:54 time: 0.2861 data_time: 0.0194 memory: 6334 grad_norm: 2.5280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7270 loss: 2.7270 2022/08/14 13:39:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:39:51 - mmengine - INFO - Epoch(train) [101][300/3757] lr: 6.6844e-02 eta: 1 day, 22:04:26 time: 0.2853 data_time: 0.0181 memory: 6334 grad_norm: 2.5896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6778 loss: 2.6778 2022/08/14 13:40:19 - mmengine - INFO - Epoch(train) [101][400/3757] lr: 6.6844e-02 eta: 1 day, 22:03:59 time: 0.2866 data_time: 0.0193 memory: 6334 grad_norm: 2.6111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3900 loss: 3.3900 2022/08/14 13:40:48 - mmengine - INFO - Epoch(train) [101][500/3757] lr: 6.6844e-02 eta: 1 day, 22:03:31 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.4611 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0745 loss: 3.0745 2022/08/14 13:41:17 - mmengine - INFO - Epoch(train) [101][600/3757] lr: 6.6844e-02 eta: 1 day, 22:03:03 time: 0.2857 data_time: 0.0187 memory: 6334 grad_norm: 2.5402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8160 loss: 2.8160 2022/08/14 13:41:46 - mmengine - INFO - Epoch(train) [101][700/3757] lr: 6.6844e-02 eta: 1 day, 22:02:35 time: 0.2839 data_time: 0.0181 memory: 6334 grad_norm: 2.5639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8983 loss: 2.8983 2022/08/14 13:42:15 - mmengine - INFO - Epoch(train) [101][800/3757] lr: 6.6844e-02 eta: 1 day, 22:02:08 time: 0.2851 data_time: 0.0182 memory: 6334 grad_norm: 2.5732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9580 loss: 2.9580 2022/08/14 13:42:43 - mmengine - INFO - Epoch(train) [101][900/3757] lr: 6.6844e-02 eta: 1 day, 22:01:40 time: 0.2832 data_time: 0.0169 memory: 6334 grad_norm: 2.5789 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0253 loss: 3.0253 2022/08/14 13:43:12 - mmengine - INFO - Epoch(train) [101][1000/3757] lr: 6.6844e-02 eta: 1 day, 22:01:12 time: 0.2869 data_time: 0.0184 memory: 6334 grad_norm: 2.6075 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0212 loss: 3.0212 2022/08/14 13:43:41 - mmengine - INFO - Epoch(train) [101][1100/3757] lr: 6.6844e-02 eta: 1 day, 22:00:44 time: 0.2880 data_time: 0.0204 memory: 6334 grad_norm: 2.6216 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0831 loss: 3.0831 2022/08/14 13:44:10 - mmengine - INFO - Epoch(train) [101][1200/3757] lr: 6.6844e-02 eta: 1 day, 22:00:16 time: 0.2873 data_time: 0.0192 memory: 6334 grad_norm: 2.5728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8953 loss: 2.8953 2022/08/14 13:44:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:44:38 - mmengine - INFO - Epoch(train) [101][1300/3757] lr: 6.6844e-02 eta: 1 day, 21:59:48 time: 0.2839 data_time: 0.0190 memory: 6334 grad_norm: 2.5582 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3087 loss: 3.3087 2022/08/14 13:45:07 - mmengine - INFO - Epoch(train) [101][1400/3757] lr: 6.6844e-02 eta: 1 day, 21:59:21 time: 0.2865 data_time: 0.0171 memory: 6334 grad_norm: 2.6287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9540 loss: 2.9540 2022/08/14 13:45:36 - mmengine - INFO - Epoch(train) [101][1500/3757] lr: 6.6844e-02 eta: 1 day, 21:58:53 time: 0.2838 data_time: 0.0183 memory: 6334 grad_norm: 2.5844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8983 loss: 2.8983 2022/08/14 13:46:05 - mmengine - INFO - Epoch(train) [101][1600/3757] lr: 6.6844e-02 eta: 1 day, 21:58:26 time: 0.2853 data_time: 0.0197 memory: 6334 grad_norm: 2.5237 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0073 loss: 3.0073 2022/08/14 13:46:34 - mmengine - INFO - Epoch(train) [101][1700/3757] lr: 6.6844e-02 eta: 1 day, 21:57:58 time: 0.2826 data_time: 0.0177 memory: 6334 grad_norm: 2.5781 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0681 loss: 3.0681 2022/08/14 13:47:03 - mmengine - INFO - Epoch(train) [101][1800/3757] lr: 6.6844e-02 eta: 1 day, 21:57:30 time: 0.2893 data_time: 0.0200 memory: 6334 grad_norm: 2.5869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7973 loss: 2.7973 2022/08/14 13:47:31 - mmengine - INFO - Epoch(train) [101][1900/3757] lr: 6.6844e-02 eta: 1 day, 21:57:02 time: 0.2862 data_time: 0.0189 memory: 6334 grad_norm: 2.5225 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2026 loss: 3.2026 2022/08/14 13:48:00 - mmengine - INFO - Epoch(train) [101][2000/3757] lr: 6.6844e-02 eta: 1 day, 21:56:35 time: 0.2869 data_time: 0.0187 memory: 6334 grad_norm: 2.5590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8021 loss: 2.8021 2022/08/14 13:48:29 - mmengine - INFO - Epoch(train) [101][2100/3757] lr: 6.6844e-02 eta: 1 day, 21:56:07 time: 0.2834 data_time: 0.0170 memory: 6334 grad_norm: 2.5947 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0554 loss: 3.0554 2022/08/14 13:48:58 - mmengine - INFO - Epoch(train) [101][2200/3757] lr: 6.6844e-02 eta: 1 day, 21:55:39 time: 0.2872 data_time: 0.0193 memory: 6334 grad_norm: 2.5486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8490 loss: 2.8490 2022/08/14 13:49:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:49:27 - mmengine - INFO - Epoch(train) [101][2300/3757] lr: 6.6844e-02 eta: 1 day, 21:55:11 time: 0.2847 data_time: 0.0199 memory: 6334 grad_norm: 2.5179 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0018 loss: 3.0018 2022/08/14 13:49:55 - mmengine - INFO - Epoch(train) [101][2400/3757] lr: 6.6844e-02 eta: 1 day, 21:54:44 time: 0.2850 data_time: 0.0182 memory: 6334 grad_norm: 2.6323 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5693 loss: 2.5693 2022/08/14 13:50:24 - mmengine - INFO - Epoch(train) [101][2500/3757] lr: 6.6844e-02 eta: 1 day, 21:54:16 time: 0.2862 data_time: 0.0198 memory: 6334 grad_norm: 2.5632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8756 loss: 2.8756 2022/08/14 13:50:53 - mmengine - INFO - Epoch(train) [101][2600/3757] lr: 6.6844e-02 eta: 1 day, 21:53:48 time: 0.2856 data_time: 0.0191 memory: 6334 grad_norm: 2.5959 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0603 loss: 3.0603 2022/08/14 13:51:22 - mmengine - INFO - Epoch(train) [101][2700/3757] lr: 6.6844e-02 eta: 1 day, 21:53:20 time: 0.2898 data_time: 0.0181 memory: 6334 grad_norm: 2.6000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0376 loss: 3.0376 2022/08/14 13:51:50 - mmengine - INFO - Epoch(train) [101][2800/3757] lr: 6.6844e-02 eta: 1 day, 21:52:52 time: 0.2887 data_time: 0.0196 memory: 6334 grad_norm: 2.6097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0101 loss: 3.0101 2022/08/14 13:52:19 - mmengine - INFO - Epoch(train) [101][2900/3757] lr: 6.6844e-02 eta: 1 day, 21:52:25 time: 0.2880 data_time: 0.0194 memory: 6334 grad_norm: 2.5449 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9747 loss: 2.9747 2022/08/14 13:52:48 - mmengine - INFO - Epoch(train) [101][3000/3757] lr: 6.6844e-02 eta: 1 day, 21:51:57 time: 0.2842 data_time: 0.0184 memory: 6334 grad_norm: 2.5590 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8401 loss: 2.8401 2022/08/14 13:53:17 - mmengine - INFO - Epoch(train) [101][3100/3757] lr: 6.6844e-02 eta: 1 day, 21:51:29 time: 0.2842 data_time: 0.0188 memory: 6334 grad_norm: 2.5504 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0367 loss: 3.0367 2022/08/14 13:53:45 - mmengine - INFO - Epoch(train) [101][3200/3757] lr: 6.6844e-02 eta: 1 day, 21:51:01 time: 0.2832 data_time: 0.0176 memory: 6334 grad_norm: 2.5260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0596 loss: 3.0596 2022/08/14 13:54:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:54:14 - mmengine - INFO - Epoch(train) [101][3300/3757] lr: 6.6844e-02 eta: 1 day, 21:50:33 time: 0.2863 data_time: 0.0181 memory: 6334 grad_norm: 2.6126 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0237 loss: 3.0237 2022/08/14 13:54:43 - mmengine - INFO - Epoch(train) [101][3400/3757] lr: 6.6844e-02 eta: 1 day, 21:50:05 time: 0.2873 data_time: 0.0177 memory: 6334 grad_norm: 2.5253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8066 loss: 2.8066 2022/08/14 13:55:12 - mmengine - INFO - Epoch(train) [101][3500/3757] lr: 6.6844e-02 eta: 1 day, 21:49:38 time: 0.2911 data_time: 0.0176 memory: 6334 grad_norm: 2.5645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9335 loss: 2.9335 2022/08/14 13:55:41 - mmengine - INFO - Epoch(train) [101][3600/3757] lr: 6.6844e-02 eta: 1 day, 21:49:10 time: 0.2858 data_time: 0.0188 memory: 6334 grad_norm: 2.6375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2603 loss: 3.2603 2022/08/14 13:56:09 - mmengine - INFO - Epoch(train) [101][3700/3757] lr: 6.6844e-02 eta: 1 day, 21:48:42 time: 0.2852 data_time: 0.0182 memory: 6334 grad_norm: 2.5482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9577 loss: 2.9577 2022/08/14 13:56:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:56:25 - mmengine - INFO - Epoch(train) [101][3757/3757] lr: 6.6844e-02 eta: 1 day, 21:48:31 time: 0.2653 data_time: 0.0161 memory: 6334 grad_norm: 2.5736 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 3.0196 loss: 3.0196 2022/08/14 13:56:56 - mmengine - INFO - Epoch(train) [102][100/3757] lr: 6.6266e-02 eta: 1 day, 21:47:54 time: 0.2851 data_time: 0.0189 memory: 6334 grad_norm: 2.5091 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2144 loss: 3.2144 2022/08/14 13:57:25 - mmengine - INFO - Epoch(train) [102][200/3757] lr: 6.6266e-02 eta: 1 day, 21:47:26 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.5914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8215 loss: 2.8215 2022/08/14 13:57:54 - mmengine - INFO - Epoch(train) [102][300/3757] lr: 6.6266e-02 eta: 1 day, 21:46:58 time: 0.2856 data_time: 0.0179 memory: 6334 grad_norm: 2.6079 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0714 loss: 3.0714 2022/08/14 13:58:23 - mmengine - INFO - Epoch(train) [102][400/3757] lr: 6.6266e-02 eta: 1 day, 21:46:31 time: 0.2891 data_time: 0.0181 memory: 6334 grad_norm: 2.6273 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9159 loss: 2.9159 2022/08/14 13:58:51 - mmengine - INFO - Epoch(train) [102][500/3757] lr: 6.6266e-02 eta: 1 day, 21:46:03 time: 0.2875 data_time: 0.0197 memory: 6334 grad_norm: 2.6260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0241 loss: 3.0241 2022/08/14 13:59:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 13:59:20 - mmengine - INFO - Epoch(train) [102][600/3757] lr: 6.6266e-02 eta: 1 day, 21:45:35 time: 0.2850 data_time: 0.0178 memory: 6334 grad_norm: 2.6201 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9315 loss: 2.9315 2022/08/14 13:59:49 - mmengine - INFO - Epoch(train) [102][700/3757] lr: 6.6266e-02 eta: 1 day, 21:45:07 time: 0.2853 data_time: 0.0180 memory: 6334 grad_norm: 2.5258 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7034 loss: 2.7034 2022/08/14 14:00:18 - mmengine - INFO - Epoch(train) [102][800/3757] lr: 6.6266e-02 eta: 1 day, 21:44:40 time: 0.2886 data_time: 0.0186 memory: 6334 grad_norm: 2.5580 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6073 loss: 2.6073 2022/08/14 14:00:47 - mmengine - INFO - Epoch(train) [102][900/3757] lr: 6.6266e-02 eta: 1 day, 21:44:12 time: 0.2854 data_time: 0.0194 memory: 6334 grad_norm: 2.6024 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8285 loss: 2.8285 2022/08/14 14:01:15 - mmengine - INFO - Epoch(train) [102][1000/3757] lr: 6.6266e-02 eta: 1 day, 21:43:44 time: 0.2846 data_time: 0.0183 memory: 6334 grad_norm: 2.5650 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2114 loss: 3.2114 2022/08/14 14:01:44 - mmengine - INFO - Epoch(train) [102][1100/3757] lr: 6.6266e-02 eta: 1 day, 21:43:16 time: 0.2882 data_time: 0.0204 memory: 6334 grad_norm: 2.5856 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8273 loss: 2.8273 2022/08/14 14:02:13 - mmengine - INFO - Epoch(train) [102][1200/3757] lr: 6.6266e-02 eta: 1 day, 21:42:48 time: 0.2865 data_time: 0.0194 memory: 6334 grad_norm: 2.5043 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8258 loss: 2.8258 2022/08/14 14:02:42 - mmengine - INFO - Epoch(train) [102][1300/3757] lr: 6.6266e-02 eta: 1 day, 21:42:21 time: 0.2888 data_time: 0.0198 memory: 6334 grad_norm: 2.5580 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8199 loss: 2.8199 2022/08/14 14:03:11 - mmengine - INFO - Epoch(train) [102][1400/3757] lr: 6.6266e-02 eta: 1 day, 21:41:53 time: 0.2850 data_time: 0.0181 memory: 6334 grad_norm: 2.5536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9853 loss: 2.9853 2022/08/14 14:03:39 - mmengine - INFO - Epoch(train) [102][1500/3757] lr: 6.6266e-02 eta: 1 day, 21:41:25 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.5568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7189 loss: 2.7189 2022/08/14 14:03:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:04:08 - mmengine - INFO - Epoch(train) [102][1600/3757] lr: 6.6266e-02 eta: 1 day, 21:40:57 time: 0.2843 data_time: 0.0188 memory: 6334 grad_norm: 2.5541 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0226 loss: 3.0226 2022/08/14 14:04:37 - mmengine - INFO - Epoch(train) [102][1700/3757] lr: 6.6266e-02 eta: 1 day, 21:40:30 time: 0.2840 data_time: 0.0172 memory: 6334 grad_norm: 2.5918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9040 loss: 2.9040 2022/08/14 14:05:06 - mmengine - INFO - Epoch(train) [102][1800/3757] lr: 6.6266e-02 eta: 1 day, 21:40:02 time: 0.2845 data_time: 0.0181 memory: 6334 grad_norm: 2.6261 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2304 loss: 3.2304 2022/08/14 14:05:35 - mmengine - INFO - Epoch(train) [102][1900/3757] lr: 6.6266e-02 eta: 1 day, 21:39:34 time: 0.2855 data_time: 0.0198 memory: 6334 grad_norm: 2.6470 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7901 loss: 2.7901 2022/08/14 14:06:04 - mmengine - INFO - Epoch(train) [102][2000/3757] lr: 6.6266e-02 eta: 1 day, 21:39:06 time: 0.2881 data_time: 0.0185 memory: 6334 grad_norm: 2.5607 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0447 loss: 3.0447 2022/08/14 14:06:32 - mmengine - INFO - Epoch(train) [102][2100/3757] lr: 6.6266e-02 eta: 1 day, 21:38:38 time: 0.2841 data_time: 0.0183 memory: 6334 grad_norm: 2.6284 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1104 loss: 3.1104 2022/08/14 14:07:01 - mmengine - INFO - Epoch(train) [102][2200/3757] lr: 6.6266e-02 eta: 1 day, 21:38:11 time: 0.2883 data_time: 0.0197 memory: 6334 grad_norm: 2.5501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8298 loss: 2.8298 2022/08/14 14:07:30 - mmengine - INFO - Epoch(train) [102][2300/3757] lr: 6.6266e-02 eta: 1 day, 21:37:43 time: 0.2845 data_time: 0.0182 memory: 6334 grad_norm: 2.6220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9220 loss: 2.9220 2022/08/14 14:07:59 - mmengine - INFO - Epoch(train) [102][2400/3757] lr: 6.6266e-02 eta: 1 day, 21:37:15 time: 0.2830 data_time: 0.0180 memory: 6334 grad_norm: 2.6270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7733 loss: 2.7733 2022/08/14 14:08:28 - mmengine - INFO - Epoch(train) [102][2500/3757] lr: 6.6266e-02 eta: 1 day, 21:36:48 time: 0.2852 data_time: 0.0189 memory: 6334 grad_norm: 2.6985 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8912 loss: 2.8912 2022/08/14 14:08:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:08:56 - mmengine - INFO - Epoch(train) [102][2600/3757] lr: 6.6266e-02 eta: 1 day, 21:36:20 time: 0.2851 data_time: 0.0200 memory: 6334 grad_norm: 2.5731 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9844 loss: 2.9844 2022/08/14 14:09:25 - mmengine - INFO - Epoch(train) [102][2700/3757] lr: 6.6266e-02 eta: 1 day, 21:35:52 time: 0.2880 data_time: 0.0192 memory: 6334 grad_norm: 2.5806 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9736 loss: 2.9736 2022/08/14 14:09:54 - mmengine - INFO - Epoch(train) [102][2800/3757] lr: 6.6266e-02 eta: 1 day, 21:35:24 time: 0.2879 data_time: 0.0189 memory: 6334 grad_norm: 2.6066 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3815 loss: 3.3815 2022/08/14 14:10:23 - mmengine - INFO - Epoch(train) [102][2900/3757] lr: 6.6266e-02 eta: 1 day, 21:34:56 time: 0.2866 data_time: 0.0199 memory: 6334 grad_norm: 2.5369 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1816 loss: 3.1816 2022/08/14 14:10:51 - mmengine - INFO - Epoch(train) [102][3000/3757] lr: 6.6266e-02 eta: 1 day, 21:34:28 time: 0.2837 data_time: 0.0167 memory: 6334 grad_norm: 2.5078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9224 loss: 2.9224 2022/08/14 14:11:20 - mmengine - INFO - Epoch(train) [102][3100/3757] lr: 6.6266e-02 eta: 1 day, 21:34:00 time: 0.2859 data_time: 0.0182 memory: 6334 grad_norm: 2.5760 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0054 loss: 3.0054 2022/08/14 14:11:49 - mmengine - INFO - Epoch(train) [102][3200/3757] lr: 6.6266e-02 eta: 1 day, 21:33:33 time: 0.2845 data_time: 0.0192 memory: 6334 grad_norm: 2.5363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9636 loss: 2.9636 2022/08/14 14:12:18 - mmengine - INFO - Epoch(train) [102][3300/3757] lr: 6.6266e-02 eta: 1 day, 21:33:05 time: 0.2833 data_time: 0.0171 memory: 6334 grad_norm: 2.5111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7949 loss: 2.7949 2022/08/14 14:12:46 - mmengine - INFO - Epoch(train) [102][3400/3757] lr: 6.6266e-02 eta: 1 day, 21:32:37 time: 0.2836 data_time: 0.0178 memory: 6334 grad_norm: 2.6295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9332 loss: 2.9332 2022/08/14 14:13:15 - mmengine - INFO - Epoch(train) [102][3500/3757] lr: 6.6266e-02 eta: 1 day, 21:32:09 time: 0.2849 data_time: 0.0183 memory: 6334 grad_norm: 2.6211 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9253 loss: 2.9253 2022/08/14 14:13:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:13:44 - mmengine - INFO - Epoch(train) [102][3600/3757] lr: 6.6266e-02 eta: 1 day, 21:31:41 time: 0.2883 data_time: 0.0183 memory: 6334 grad_norm: 2.5339 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9149 loss: 2.9149 2022/08/14 14:14:13 - mmengine - INFO - Epoch(train) [102][3700/3757] lr: 6.6266e-02 eta: 1 day, 21:31:14 time: 0.2872 data_time: 0.0191 memory: 6334 grad_norm: 2.5160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1341 loss: 3.1341 2022/08/14 14:14:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:14:29 - mmengine - INFO - Epoch(train) [102][3757/3757] lr: 6.6266e-02 eta: 1 day, 21:31:03 time: 0.2625 data_time: 0.0145 memory: 6334 grad_norm: 2.6429 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 3.0718 loss: 3.0718 2022/08/14 14:15:00 - mmengine - INFO - Epoch(train) [103][100/3757] lr: 6.5684e-02 eta: 1 day, 21:30:26 time: 0.2841 data_time: 0.0177 memory: 6334 grad_norm: 2.5682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9760 loss: 2.9760 2022/08/14 14:15:29 - mmengine - INFO - Epoch(train) [103][200/3757] lr: 6.5684e-02 eta: 1 day, 21:29:58 time: 0.2849 data_time: 0.0195 memory: 6334 grad_norm: 2.5830 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1167 loss: 3.1167 2022/08/14 14:15:57 - mmengine - INFO - Epoch(train) [103][300/3757] lr: 6.5684e-02 eta: 1 day, 21:29:30 time: 0.2851 data_time: 0.0173 memory: 6334 grad_norm: 2.6175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8593 loss: 2.8593 2022/08/14 14:16:28 - mmengine - INFO - Epoch(train) [103][400/3757] lr: 6.5684e-02 eta: 1 day, 21:29:06 time: 0.2854 data_time: 0.0189 memory: 6334 grad_norm: 2.6346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7547 loss: 2.7547 2022/08/14 14:16:58 - mmengine - INFO - Epoch(train) [103][500/3757] lr: 6.5684e-02 eta: 1 day, 21:28:39 time: 0.2843 data_time: 0.0186 memory: 6334 grad_norm: 2.6389 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1776 loss: 3.1776 2022/08/14 14:17:26 - mmengine - INFO - Epoch(train) [103][600/3757] lr: 6.5684e-02 eta: 1 day, 21:28:11 time: 0.2845 data_time: 0.0177 memory: 6334 grad_norm: 2.6001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0365 loss: 3.0365 2022/08/14 14:17:55 - mmengine - INFO - Epoch(train) [103][700/3757] lr: 6.5684e-02 eta: 1 day, 21:27:43 time: 0.2854 data_time: 0.0173 memory: 6334 grad_norm: 2.6050 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9966 loss: 2.9966 2022/08/14 14:18:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:18:24 - mmengine - INFO - Epoch(train) [103][800/3757] lr: 6.5684e-02 eta: 1 day, 21:27:15 time: 0.2876 data_time: 0.0183 memory: 6334 grad_norm: 2.5582 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1414 loss: 3.1414 2022/08/14 14:18:53 - mmengine - INFO - Epoch(train) [103][900/3757] lr: 6.5684e-02 eta: 1 day, 21:26:48 time: 0.2921 data_time: 0.0194 memory: 6334 grad_norm: 2.5295 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5398 loss: 2.5398 2022/08/14 14:19:22 - mmengine - INFO - Epoch(train) [103][1000/3757] lr: 6.5684e-02 eta: 1 day, 21:26:20 time: 0.2869 data_time: 0.0194 memory: 6334 grad_norm: 2.6199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5567 loss: 2.5567 2022/08/14 14:19:51 - mmengine - INFO - Epoch(train) [103][1100/3757] lr: 6.5684e-02 eta: 1 day, 21:25:53 time: 0.2856 data_time: 0.0186 memory: 6334 grad_norm: 2.5460 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9639 loss: 2.9639 2022/08/14 14:20:20 - mmengine - INFO - Epoch(train) [103][1200/3757] lr: 6.5684e-02 eta: 1 day, 21:25:25 time: 0.2862 data_time: 0.0183 memory: 6334 grad_norm: 2.6197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7223 loss: 2.7223 2022/08/14 14:20:49 - mmengine - INFO - Epoch(train) [103][1300/3757] lr: 6.5684e-02 eta: 1 day, 21:24:57 time: 0.2850 data_time: 0.0190 memory: 6334 grad_norm: 2.6123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1254 loss: 3.1254 2022/08/14 14:21:17 - mmengine - INFO - Epoch(train) [103][1400/3757] lr: 6.5684e-02 eta: 1 day, 21:24:29 time: 0.2849 data_time: 0.0181 memory: 6334 grad_norm: 2.6312 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1340 loss: 3.1340 2022/08/14 14:21:46 - mmengine - INFO - Epoch(train) [103][1500/3757] lr: 6.5684e-02 eta: 1 day, 21:24:02 time: 0.2851 data_time: 0.0179 memory: 6334 grad_norm: 2.6201 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9114 loss: 2.9114 2022/08/14 14:22:15 - mmengine - INFO - Epoch(train) [103][1600/3757] lr: 6.5684e-02 eta: 1 day, 21:23:34 time: 0.2896 data_time: 0.0178 memory: 6334 grad_norm: 2.5948 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8643 loss: 2.8643 2022/08/14 14:22:44 - mmengine - INFO - Epoch(train) [103][1700/3757] lr: 6.5684e-02 eta: 1 day, 21:23:06 time: 0.2857 data_time: 0.0186 memory: 6334 grad_norm: 2.6703 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0486 loss: 3.0486 2022/08/14 14:23:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:23:13 - mmengine - INFO - Epoch(train) [103][1800/3757] lr: 6.5684e-02 eta: 1 day, 21:22:38 time: 0.2850 data_time: 0.0182 memory: 6334 grad_norm: 2.6528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0594 loss: 3.0594 2022/08/14 14:23:41 - mmengine - INFO - Epoch(train) [103][1900/3757] lr: 6.5684e-02 eta: 1 day, 21:22:10 time: 0.2860 data_time: 0.0181 memory: 6334 grad_norm: 2.6259 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1698 loss: 3.1698 2022/08/14 14:24:10 - mmengine - INFO - Epoch(train) [103][2000/3757] lr: 6.5684e-02 eta: 1 day, 21:21:43 time: 0.2853 data_time: 0.0177 memory: 6334 grad_norm: 2.4704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8663 loss: 2.8663 2022/08/14 14:24:39 - mmengine - INFO - Epoch(train) [103][2100/3757] lr: 6.5684e-02 eta: 1 day, 21:21:15 time: 0.2856 data_time: 0.0184 memory: 6334 grad_norm: 2.6790 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3966 loss: 3.3966 2022/08/14 14:25:08 - mmengine - INFO - Epoch(train) [103][2200/3757] lr: 6.5684e-02 eta: 1 day, 21:20:48 time: 0.2881 data_time: 0.0185 memory: 6334 grad_norm: 2.5552 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8725 loss: 2.8725 2022/08/14 14:25:37 - mmengine - INFO - Epoch(train) [103][2300/3757] lr: 6.5684e-02 eta: 1 day, 21:20:20 time: 0.2861 data_time: 0.0190 memory: 6334 grad_norm: 2.5900 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9486 loss: 2.9486 2022/08/14 14:26:06 - mmengine - INFO - Epoch(train) [103][2400/3757] lr: 6.5684e-02 eta: 1 day, 21:19:52 time: 0.2866 data_time: 0.0202 memory: 6334 grad_norm: 2.6125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9032 loss: 2.9032 2022/08/14 14:26:35 - mmengine - INFO - Epoch(train) [103][2500/3757] lr: 6.5684e-02 eta: 1 day, 21:19:24 time: 0.2847 data_time: 0.0179 memory: 6334 grad_norm: 2.5152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7971 loss: 2.7971 2022/08/14 14:27:03 - mmengine - INFO - Epoch(train) [103][2600/3757] lr: 6.5684e-02 eta: 1 day, 21:18:56 time: 0.2855 data_time: 0.0189 memory: 6334 grad_norm: 2.5858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8011 loss: 2.8011 2022/08/14 14:27:32 - mmengine - INFO - Epoch(train) [103][2700/3757] lr: 6.5684e-02 eta: 1 day, 21:18:29 time: 0.2869 data_time: 0.0187 memory: 6334 grad_norm: 2.4742 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7213 loss: 2.7213 2022/08/14 14:27:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:28:01 - mmengine - INFO - Epoch(train) [103][2800/3757] lr: 6.5684e-02 eta: 1 day, 21:18:01 time: 0.2858 data_time: 0.0194 memory: 6334 grad_norm: 2.5026 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8518 loss: 2.8518 2022/08/14 14:28:30 - mmengine - INFO - Epoch(train) [103][2900/3757] lr: 6.5684e-02 eta: 1 day, 21:17:33 time: 0.2860 data_time: 0.0196 memory: 6334 grad_norm: 2.5350 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7512 loss: 2.7512 2022/08/14 14:28:59 - mmengine - INFO - Epoch(train) [103][3000/3757] lr: 6.5684e-02 eta: 1 day, 21:17:06 time: 0.2854 data_time: 0.0187 memory: 6334 grad_norm: 2.5132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7502 loss: 2.7502 2022/08/14 14:29:27 - mmengine - INFO - Epoch(train) [103][3100/3757] lr: 6.5684e-02 eta: 1 day, 21:16:38 time: 0.2857 data_time: 0.0175 memory: 6334 grad_norm: 2.6454 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8607 loss: 2.8607 2022/08/14 14:29:56 - mmengine - INFO - Epoch(train) [103][3200/3757] lr: 6.5684e-02 eta: 1 day, 21:16:10 time: 0.2915 data_time: 0.0197 memory: 6334 grad_norm: 2.6428 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9932 loss: 2.9932 2022/08/14 14:30:25 - mmengine - INFO - Epoch(train) [103][3300/3757] lr: 6.5684e-02 eta: 1 day, 21:15:42 time: 0.2872 data_time: 0.0187 memory: 6334 grad_norm: 2.5367 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.2204 loss: 3.2204 2022/08/14 14:30:54 - mmengine - INFO - Epoch(train) [103][3400/3757] lr: 6.5684e-02 eta: 1 day, 21:15:14 time: 0.2849 data_time: 0.0172 memory: 6334 grad_norm: 2.5230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9266 loss: 2.9266 2022/08/14 14:31:23 - mmengine - INFO - Epoch(train) [103][3500/3757] lr: 6.5684e-02 eta: 1 day, 21:14:47 time: 0.2863 data_time: 0.0182 memory: 6334 grad_norm: 2.5474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1697 loss: 3.1697 2022/08/14 14:31:52 - mmengine - INFO - Epoch(train) [103][3600/3757] lr: 6.5684e-02 eta: 1 day, 21:14:19 time: 0.2850 data_time: 0.0185 memory: 6334 grad_norm: 2.6076 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1727 loss: 3.1727 2022/08/14 14:32:20 - mmengine - INFO - Epoch(train) [103][3700/3757] lr: 6.5684e-02 eta: 1 day, 21:13:51 time: 0.2849 data_time: 0.0176 memory: 6334 grad_norm: 2.6186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1301 loss: 3.1301 2022/08/14 14:32:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:32:36 - mmengine - INFO - Epoch(train) [103][3757/3757] lr: 6.5684e-02 eta: 1 day, 21:13:40 time: 0.2641 data_time: 0.0148 memory: 6334 grad_norm: 2.6315 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.4019 loss: 3.4019 2022/08/14 14:32:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:33:07 - mmengine - INFO - Epoch(train) [104][100/3757] lr: 6.5100e-02 eta: 1 day, 21:13:03 time: 0.2868 data_time: 0.0198 memory: 6334 grad_norm: 2.5606 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2282 loss: 3.2282 2022/08/14 14:33:36 - mmengine - INFO - Epoch(train) [104][200/3757] lr: 6.5100e-02 eta: 1 day, 21:12:35 time: 0.2878 data_time: 0.0193 memory: 6334 grad_norm: 2.6185 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8335 loss: 2.8335 2022/08/14 14:34:05 - mmengine - INFO - Epoch(train) [104][300/3757] lr: 6.5100e-02 eta: 1 day, 21:12:08 time: 0.2863 data_time: 0.0185 memory: 6334 grad_norm: 2.5898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6863 loss: 2.6863 2022/08/14 14:34:34 - mmengine - INFO - Epoch(train) [104][400/3757] lr: 6.5100e-02 eta: 1 day, 21:11:40 time: 0.2863 data_time: 0.0184 memory: 6334 grad_norm: 2.6064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6370 loss: 2.6370 2022/08/14 14:35:03 - mmengine - INFO - Epoch(train) [104][500/3757] lr: 6.5100e-02 eta: 1 day, 21:11:12 time: 0.2862 data_time: 0.0167 memory: 6334 grad_norm: 2.6074 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6687 loss: 2.6687 2022/08/14 14:35:31 - mmengine - INFO - Epoch(train) [104][600/3757] lr: 6.5100e-02 eta: 1 day, 21:10:44 time: 0.2858 data_time: 0.0176 memory: 6334 grad_norm: 2.6729 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7754 loss: 2.7754 2022/08/14 14:36:00 - mmengine - INFO - Epoch(train) [104][700/3757] lr: 6.5100e-02 eta: 1 day, 21:10:16 time: 0.2851 data_time: 0.0181 memory: 6334 grad_norm: 2.5954 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8200 loss: 2.8200 2022/08/14 14:36:29 - mmengine - INFO - Epoch(train) [104][800/3757] lr: 6.5100e-02 eta: 1 day, 21:09:49 time: 0.2842 data_time: 0.0183 memory: 6334 grad_norm: 2.5240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5780 loss: 2.5780 2022/08/14 14:36:58 - mmengine - INFO - Epoch(train) [104][900/3757] lr: 6.5100e-02 eta: 1 day, 21:09:21 time: 0.2873 data_time: 0.0175 memory: 6334 grad_norm: 2.6278 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7946 loss: 2.7946 2022/08/14 14:37:27 - mmengine - INFO - Epoch(train) [104][1000/3757] lr: 6.5100e-02 eta: 1 day, 21:08:53 time: 0.2904 data_time: 0.0194 memory: 6334 grad_norm: 2.5867 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9119 loss: 2.9119 2022/08/14 14:37:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:37:55 - mmengine - INFO - Epoch(train) [104][1100/3757] lr: 6.5100e-02 eta: 1 day, 21:08:25 time: 0.2868 data_time: 0.0191 memory: 6334 grad_norm: 2.5488 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0118 loss: 3.0118 2022/08/14 14:38:24 - mmengine - INFO - Epoch(train) [104][1200/3757] lr: 6.5100e-02 eta: 1 day, 21:07:58 time: 0.2898 data_time: 0.0175 memory: 6334 grad_norm: 2.6396 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0813 loss: 3.0813 2022/08/14 14:38:53 - mmengine - INFO - Epoch(train) [104][1300/3757] lr: 6.5100e-02 eta: 1 day, 21:07:30 time: 0.2869 data_time: 0.0182 memory: 6334 grad_norm: 2.7318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6653 loss: 2.6653 2022/08/14 14:39:22 - mmengine - INFO - Epoch(train) [104][1400/3757] lr: 6.5100e-02 eta: 1 day, 21:07:02 time: 0.2862 data_time: 0.0189 memory: 6334 grad_norm: 2.6189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7621 loss: 2.7621 2022/08/14 14:39:51 - mmengine - INFO - Epoch(train) [104][1500/3757] lr: 6.5100e-02 eta: 1 day, 21:06:34 time: 0.2842 data_time: 0.0180 memory: 6334 grad_norm: 2.6363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1257 loss: 3.1257 2022/08/14 14:40:20 - mmengine - INFO - Epoch(train) [104][1600/3757] lr: 6.5100e-02 eta: 1 day, 21:06:07 time: 0.2850 data_time: 0.0181 memory: 6334 grad_norm: 2.5548 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9030 loss: 2.9030 2022/08/14 14:40:49 - mmengine - INFO - Epoch(train) [104][1700/3757] lr: 6.5100e-02 eta: 1 day, 21:05:39 time: 0.2879 data_time: 0.0191 memory: 6334 grad_norm: 2.5710 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8175 loss: 2.8175 2022/08/14 14:41:17 - mmengine - INFO - Epoch(train) [104][1800/3757] lr: 6.5100e-02 eta: 1 day, 21:05:11 time: 0.2846 data_time: 0.0188 memory: 6334 grad_norm: 2.6236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7889 loss: 2.7889 2022/08/14 14:41:46 - mmengine - INFO - Epoch(train) [104][1900/3757] lr: 6.5100e-02 eta: 1 day, 21:04:43 time: 0.2873 data_time: 0.0199 memory: 6334 grad_norm: 2.6168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6950 loss: 2.6950 2022/08/14 14:42:15 - mmengine - INFO - Epoch(train) [104][2000/3757] lr: 6.5100e-02 eta: 1 day, 21:04:15 time: 0.2873 data_time: 0.0184 memory: 6334 grad_norm: 2.6628 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0898 loss: 3.0898 2022/08/14 14:42:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:42:44 - mmengine - INFO - Epoch(train) [104][2100/3757] lr: 6.5100e-02 eta: 1 day, 21:03:48 time: 0.2845 data_time: 0.0184 memory: 6334 grad_norm: 2.5787 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1202 loss: 3.1202 2022/08/14 14:43:13 - mmengine - INFO - Epoch(train) [104][2200/3757] lr: 6.5100e-02 eta: 1 day, 21:03:20 time: 0.2830 data_time: 0.0184 memory: 6334 grad_norm: 2.6609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9448 loss: 2.9448 2022/08/14 14:43:41 - mmengine - INFO - Epoch(train) [104][2300/3757] lr: 6.5100e-02 eta: 1 day, 21:02:52 time: 0.2855 data_time: 0.0184 memory: 6334 grad_norm: 2.5311 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7076 loss: 2.7076 2022/08/14 14:44:10 - mmengine - INFO - Epoch(train) [104][2400/3757] lr: 6.5100e-02 eta: 1 day, 21:02:24 time: 0.2839 data_time: 0.0183 memory: 6334 grad_norm: 2.6086 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9806 loss: 2.9806 2022/08/14 14:44:39 - mmengine - INFO - Epoch(train) [104][2500/3757] lr: 6.5100e-02 eta: 1 day, 21:01:56 time: 0.2869 data_time: 0.0185 memory: 6334 grad_norm: 2.6026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7024 loss: 2.7024 2022/08/14 14:45:08 - mmengine - INFO - Epoch(train) [104][2600/3757] lr: 6.5100e-02 eta: 1 day, 21:01:28 time: 0.2845 data_time: 0.0178 memory: 6334 grad_norm: 2.6661 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6734 loss: 2.6734 2022/08/14 14:45:36 - mmengine - INFO - Epoch(train) [104][2700/3757] lr: 6.5100e-02 eta: 1 day, 21:01:01 time: 0.2886 data_time: 0.0186 memory: 6334 grad_norm: 2.5554 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7246 loss: 2.7246 2022/08/14 14:46:05 - mmengine - INFO - Epoch(train) [104][2800/3757] lr: 6.5100e-02 eta: 1 day, 21:00:32 time: 0.2840 data_time: 0.0180 memory: 6334 grad_norm: 2.6280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7653 loss: 2.7653 2022/08/14 14:46:34 - mmengine - INFO - Epoch(train) [104][2900/3757] lr: 6.5100e-02 eta: 1 day, 21:00:05 time: 0.2902 data_time: 0.0199 memory: 6334 grad_norm: 2.6354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4716 loss: 3.4716 2022/08/14 14:47:03 - mmengine - INFO - Epoch(train) [104][3000/3757] lr: 6.5100e-02 eta: 1 day, 20:59:37 time: 0.2839 data_time: 0.0176 memory: 6334 grad_norm: 2.6527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0582 loss: 3.0582 2022/08/14 14:47:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:47:32 - mmengine - INFO - Epoch(train) [104][3100/3757] lr: 6.5100e-02 eta: 1 day, 20:59:09 time: 0.2853 data_time: 0.0184 memory: 6334 grad_norm: 2.6284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8298 loss: 2.8298 2022/08/14 14:48:00 - mmengine - INFO - Epoch(train) [104][3200/3757] lr: 6.5100e-02 eta: 1 day, 20:58:41 time: 0.2861 data_time: 0.0182 memory: 6334 grad_norm: 2.5772 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8355 loss: 2.8355 2022/08/14 14:48:29 - mmengine - INFO - Epoch(train) [104][3300/3757] lr: 6.5100e-02 eta: 1 day, 20:58:13 time: 0.2860 data_time: 0.0198 memory: 6334 grad_norm: 2.5907 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0080 loss: 3.0080 2022/08/14 14:48:58 - mmengine - INFO - Epoch(train) [104][3400/3757] lr: 6.5100e-02 eta: 1 day, 20:57:46 time: 0.2870 data_time: 0.0185 memory: 6334 grad_norm: 2.6062 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0201 loss: 3.0201 2022/08/14 14:49:27 - mmengine - INFO - Epoch(train) [104][3500/3757] lr: 6.5100e-02 eta: 1 day, 20:57:18 time: 0.2857 data_time: 0.0190 memory: 6334 grad_norm: 2.5809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1071 loss: 3.1071 2022/08/14 14:49:56 - mmengine - INFO - Epoch(train) [104][3600/3757] lr: 6.5100e-02 eta: 1 day, 20:56:50 time: 0.2895 data_time: 0.0188 memory: 6334 grad_norm: 2.5815 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8777 loss: 2.8777 2022/08/14 14:50:25 - mmengine - INFO - Epoch(train) [104][3700/3757] lr: 6.5100e-02 eta: 1 day, 20:56:22 time: 0.2851 data_time: 0.0194 memory: 6334 grad_norm: 2.5816 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1995 loss: 3.1995 2022/08/14 14:50:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:50:41 - mmengine - INFO - Epoch(train) [104][3757/3757] lr: 6.5100e-02 eta: 1 day, 20:56:11 time: 0.2647 data_time: 0.0158 memory: 6334 grad_norm: 2.6751 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.7481 loss: 2.7481 2022/08/14 14:50:41 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/14 14:51:14 - mmengine - INFO - Epoch(train) [105][100/3757] lr: 6.4514e-02 eta: 1 day, 20:55:33 time: 0.2836 data_time: 0.0172 memory: 6334 grad_norm: 2.6686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0713 loss: 3.0713 2022/08/14 14:51:42 - mmengine - INFO - Epoch(train) [105][200/3757] lr: 6.4514e-02 eta: 1 day, 20:55:05 time: 0.2856 data_time: 0.0182 memory: 6334 grad_norm: 2.6465 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8344 loss: 2.8344 2022/08/14 14:52:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:52:11 - mmengine - INFO - Epoch(train) [105][300/3757] lr: 6.4514e-02 eta: 1 day, 20:54:37 time: 0.2856 data_time: 0.0181 memory: 6334 grad_norm: 2.6589 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8583 loss: 2.8583 2022/08/14 14:52:40 - mmengine - INFO - Epoch(train) [105][400/3757] lr: 6.4514e-02 eta: 1 day, 20:54:10 time: 0.2866 data_time: 0.0189 memory: 6334 grad_norm: 2.6108 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0716 loss: 3.0716 2022/08/14 14:53:09 - mmengine - INFO - Epoch(train) [105][500/3757] lr: 6.4514e-02 eta: 1 day, 20:53:42 time: 0.2873 data_time: 0.0193 memory: 6334 grad_norm: 2.5829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9685 loss: 2.9685 2022/08/14 14:53:38 - mmengine - INFO - Epoch(train) [105][600/3757] lr: 6.4514e-02 eta: 1 day, 20:53:14 time: 0.2861 data_time: 0.0199 memory: 6334 grad_norm: 2.5898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8734 loss: 2.8734 2022/08/14 14:54:07 - mmengine - INFO - Epoch(train) [105][700/3757] lr: 6.4514e-02 eta: 1 day, 20:52:47 time: 0.2897 data_time: 0.0202 memory: 6334 grad_norm: 2.6780 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2064 loss: 3.2064 2022/08/14 14:54:36 - mmengine - INFO - Epoch(train) [105][800/3757] lr: 6.4514e-02 eta: 1 day, 20:52:19 time: 0.2849 data_time: 0.0187 memory: 6334 grad_norm: 2.5814 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9067 loss: 2.9067 2022/08/14 14:55:04 - mmengine - INFO - Epoch(train) [105][900/3757] lr: 6.4514e-02 eta: 1 day, 20:51:51 time: 0.2880 data_time: 0.0182 memory: 6334 grad_norm: 2.6127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7969 loss: 2.7969 2022/08/14 14:55:33 - mmengine - INFO - Epoch(train) [105][1000/3757] lr: 6.4514e-02 eta: 1 day, 20:51:23 time: 0.2844 data_time: 0.0185 memory: 6334 grad_norm: 2.5760 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9004 loss: 2.9004 2022/08/14 14:56:02 - mmengine - INFO - Epoch(train) [105][1100/3757] lr: 6.4514e-02 eta: 1 day, 20:50:56 time: 0.2854 data_time: 0.0182 memory: 6334 grad_norm: 2.5951 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7327 loss: 2.7327 2022/08/14 14:56:31 - mmengine - INFO - Epoch(train) [105][1200/3757] lr: 6.4514e-02 eta: 1 day, 20:50:28 time: 0.2850 data_time: 0.0189 memory: 6334 grad_norm: 2.5946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9837 loss: 2.9837 2022/08/14 14:56:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 14:57:00 - mmengine - INFO - Epoch(train) [105][1300/3757] lr: 6.4514e-02 eta: 1 day, 20:50:00 time: 0.2871 data_time: 0.0187 memory: 6334 grad_norm: 2.6549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9857 loss: 2.9857 2022/08/14 14:57:29 - mmengine - INFO - Epoch(train) [105][1400/3757] lr: 6.4514e-02 eta: 1 day, 20:49:32 time: 0.2863 data_time: 0.0190 memory: 6334 grad_norm: 2.6037 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9528 loss: 2.9528 2022/08/14 14:57:58 - mmengine - INFO - Epoch(train) [105][1500/3757] lr: 6.4514e-02 eta: 1 day, 20:49:05 time: 0.2877 data_time: 0.0187 memory: 6334 grad_norm: 2.6136 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0224 loss: 3.0224 2022/08/14 14:58:27 - mmengine - INFO - Epoch(train) [105][1600/3757] lr: 6.4514e-02 eta: 1 day, 20:48:37 time: 0.2861 data_time: 0.0190 memory: 6334 grad_norm: 2.5135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6853 loss: 2.6853 2022/08/14 14:58:55 - mmengine - INFO - Epoch(train) [105][1700/3757] lr: 6.4514e-02 eta: 1 day, 20:48:09 time: 0.2837 data_time: 0.0177 memory: 6334 grad_norm: 2.6088 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9435 loss: 2.9435 2022/08/14 14:59:24 - mmengine - INFO - Epoch(train) [105][1800/3757] lr: 6.4514e-02 eta: 1 day, 20:47:41 time: 0.2847 data_time: 0.0198 memory: 6334 grad_norm: 2.6074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8553 loss: 2.8553 2022/08/14 14:59:53 - mmengine - INFO - Epoch(train) [105][1900/3757] lr: 6.4514e-02 eta: 1 day, 20:47:14 time: 0.2859 data_time: 0.0203 memory: 6334 grad_norm: 2.6367 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8987 loss: 2.8987 2022/08/14 15:00:22 - mmengine - INFO - Epoch(train) [105][2000/3757] lr: 6.4514e-02 eta: 1 day, 20:46:46 time: 0.2850 data_time: 0.0193 memory: 6334 grad_norm: 2.5620 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9348 loss: 2.9348 2022/08/14 15:00:51 - mmengine - INFO - Epoch(train) [105][2100/3757] lr: 6.4514e-02 eta: 1 day, 20:46:18 time: 0.2862 data_time: 0.0198 memory: 6334 grad_norm: 2.5963 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0657 loss: 3.0657 2022/08/14 15:01:19 - mmengine - INFO - Epoch(train) [105][2200/3757] lr: 6.4514e-02 eta: 1 day, 20:45:50 time: 0.2848 data_time: 0.0190 memory: 6334 grad_norm: 2.6450 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0799 loss: 3.0799 2022/08/14 15:01:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:01:48 - mmengine - INFO - Epoch(train) [105][2300/3757] lr: 6.4514e-02 eta: 1 day, 20:45:22 time: 0.2871 data_time: 0.0186 memory: 6334 grad_norm: 2.5952 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9063 loss: 2.9063 2022/08/14 15:02:17 - mmengine - INFO - Epoch(train) [105][2400/3757] lr: 6.4514e-02 eta: 1 day, 20:44:54 time: 0.2860 data_time: 0.0173 memory: 6334 grad_norm: 2.6455 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0879 loss: 3.0879 2022/08/14 15:02:46 - mmengine - INFO - Epoch(train) [105][2500/3757] lr: 6.4514e-02 eta: 1 day, 20:44:26 time: 0.2856 data_time: 0.0193 memory: 6334 grad_norm: 2.6054 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4617 loss: 2.4617 2022/08/14 15:03:14 - mmengine - INFO - Epoch(train) [105][2600/3757] lr: 6.4514e-02 eta: 1 day, 20:43:58 time: 0.2853 data_time: 0.0188 memory: 6334 grad_norm: 2.5294 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0231 loss: 3.0231 2022/08/14 15:03:43 - mmengine - INFO - Epoch(train) [105][2700/3757] lr: 6.4514e-02 eta: 1 day, 20:43:31 time: 0.2845 data_time: 0.0182 memory: 6334 grad_norm: 2.5207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9743 loss: 2.9743 2022/08/14 15:04:12 - mmengine - INFO - Epoch(train) [105][2800/3757] lr: 6.4514e-02 eta: 1 day, 20:43:03 time: 0.2956 data_time: 0.0203 memory: 6334 grad_norm: 2.6583 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1433 loss: 3.1433 2022/08/14 15:04:41 - mmengine - INFO - Epoch(train) [105][2900/3757] lr: 6.4514e-02 eta: 1 day, 20:42:35 time: 0.2872 data_time: 0.0187 memory: 6334 grad_norm: 2.6669 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9132 loss: 2.9132 2022/08/14 15:05:10 - mmengine - INFO - Epoch(train) [105][3000/3757] lr: 6.4514e-02 eta: 1 day, 20:42:07 time: 0.2869 data_time: 0.0204 memory: 6334 grad_norm: 2.6344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9005 loss: 2.9005 2022/08/14 15:05:39 - mmengine - INFO - Epoch(train) [105][3100/3757] lr: 6.4514e-02 eta: 1 day, 20:41:39 time: 0.2867 data_time: 0.0186 memory: 6334 grad_norm: 2.5571 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6315 loss: 2.6315 2022/08/14 15:06:07 - mmengine - INFO - Epoch(train) [105][3200/3757] lr: 6.4514e-02 eta: 1 day, 20:41:12 time: 0.2860 data_time: 0.0184 memory: 6334 grad_norm: 2.6170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9628 loss: 2.9628 2022/08/14 15:06:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:06:36 - mmengine - INFO - Epoch(train) [105][3300/3757] lr: 6.4514e-02 eta: 1 day, 20:40:44 time: 0.2855 data_time: 0.0185 memory: 6334 grad_norm: 2.6190 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1470 loss: 3.1470 2022/08/14 15:07:05 - mmengine - INFO - Epoch(train) [105][3400/3757] lr: 6.4514e-02 eta: 1 day, 20:40:16 time: 0.2845 data_time: 0.0196 memory: 6334 grad_norm: 2.5701 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1910 loss: 3.1910 2022/08/14 15:07:34 - mmengine - INFO - Epoch(train) [105][3500/3757] lr: 6.4514e-02 eta: 1 day, 20:39:48 time: 0.2849 data_time: 0.0177 memory: 6334 grad_norm: 2.5254 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9438 loss: 2.9438 2022/08/14 15:08:03 - mmengine - INFO - Epoch(train) [105][3600/3757] lr: 6.4514e-02 eta: 1 day, 20:39:20 time: 0.2846 data_time: 0.0186 memory: 6334 grad_norm: 2.5880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7344 loss: 2.7344 2022/08/14 15:08:31 - mmengine - INFO - Epoch(train) [105][3700/3757] lr: 6.4514e-02 eta: 1 day, 20:38:52 time: 0.2850 data_time: 0.0191 memory: 6334 grad_norm: 2.6314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6557 loss: 2.6557 2022/08/14 15:08:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:08:47 - mmengine - INFO - Epoch(train) [105][3757/3757] lr: 6.4514e-02 eta: 1 day, 20:38:41 time: 0.2651 data_time: 0.0157 memory: 6334 grad_norm: 2.6147 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.9855 loss: 2.9855 2022/08/14 15:09:10 - mmengine - INFO - Epoch(val) [105][100/310] eta: 0:00:46 time: 0.2206 data_time: 0.1205 memory: 1152 2022/08/14 15:09:31 - mmengine - INFO - Epoch(val) [105][200/310] eta: 0:00:20 time: 0.1877 data_time: 0.0901 memory: 1152 2022/08/14 15:09:52 - mmengine - INFO - Epoch(val) [105][300/310] eta: 0:00:02 time: 0.2085 data_time: 0.1128 memory: 1152 2022/08/14 15:09:56 - mmengine - INFO - Epoch(val) [105][310/310] acc/top1: 0.4244 acc/top5: 0.7029 acc/mean1: 0.4243 2022/08/14 15:09:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_91.pth is removed 2022/08/14 15:09:59 - mmengine - INFO - The best checkpoint with 0.4244 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/14 15:10:29 - mmengine - INFO - Epoch(train) [106][100/3757] lr: 6.3926e-02 eta: 1 day, 20:38:03 time: 0.2866 data_time: 0.0189 memory: 6334 grad_norm: 2.6344 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0177 loss: 3.0177 2022/08/14 15:10:58 - mmengine - INFO - Epoch(train) [106][200/3757] lr: 6.3926e-02 eta: 1 day, 20:37:36 time: 0.2885 data_time: 0.0195 memory: 6334 grad_norm: 2.5888 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8004 loss: 2.8004 2022/08/14 15:11:27 - mmengine - INFO - Epoch(train) [106][300/3757] lr: 6.3926e-02 eta: 1 day, 20:37:08 time: 0.2837 data_time: 0.0193 memory: 6334 grad_norm: 2.6053 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7947 loss: 2.7947 2022/08/14 15:11:56 - mmengine - INFO - Epoch(train) [106][400/3757] lr: 6.3926e-02 eta: 1 day, 20:36:40 time: 0.2845 data_time: 0.0182 memory: 6334 grad_norm: 2.6610 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9579 loss: 2.9579 2022/08/14 15:12:24 - mmengine - INFO - Epoch(train) [106][500/3757] lr: 6.3926e-02 eta: 1 day, 20:36:12 time: 0.2861 data_time: 0.0214 memory: 6334 grad_norm: 2.5943 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0349 loss: 3.0349 2022/08/14 15:12:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:12:53 - mmengine - INFO - Epoch(train) [106][600/3757] lr: 6.3926e-02 eta: 1 day, 20:35:44 time: 0.2860 data_time: 0.0194 memory: 6334 grad_norm: 2.5417 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0119 loss: 3.0119 2022/08/14 15:13:22 - mmengine - INFO - Epoch(train) [106][700/3757] lr: 6.3926e-02 eta: 1 day, 20:35:16 time: 0.2855 data_time: 0.0186 memory: 6334 grad_norm: 2.6603 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9479 loss: 2.9479 2022/08/14 15:13:51 - mmengine - INFO - Epoch(train) [106][800/3757] lr: 6.3926e-02 eta: 1 day, 20:34:48 time: 0.2851 data_time: 0.0185 memory: 6334 grad_norm: 2.6478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9191 loss: 2.9191 2022/08/14 15:14:20 - mmengine - INFO - Epoch(train) [106][900/3757] lr: 6.3926e-02 eta: 1 day, 20:34:21 time: 0.2847 data_time: 0.0194 memory: 6334 grad_norm: 2.7353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8023 loss: 2.8023 2022/08/14 15:14:48 - mmengine - INFO - Epoch(train) [106][1000/3757] lr: 6.3926e-02 eta: 1 day, 20:33:53 time: 0.2844 data_time: 0.0169 memory: 6334 grad_norm: 2.5659 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9622 loss: 2.9622 2022/08/14 15:15:17 - mmengine - INFO - Epoch(train) [106][1100/3757] lr: 6.3926e-02 eta: 1 day, 20:33:25 time: 0.2851 data_time: 0.0173 memory: 6334 grad_norm: 2.6383 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8989 loss: 2.8989 2022/08/14 15:15:46 - mmengine - INFO - Epoch(train) [106][1200/3757] lr: 6.3926e-02 eta: 1 day, 20:32:57 time: 0.2854 data_time: 0.0190 memory: 6334 grad_norm: 2.6374 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1120 loss: 3.1120 2022/08/14 15:16:15 - mmengine - INFO - Epoch(train) [106][1300/3757] lr: 6.3926e-02 eta: 1 day, 20:32:29 time: 0.2856 data_time: 0.0173 memory: 6334 grad_norm: 2.5888 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9600 loss: 2.9600 2022/08/14 15:16:44 - mmengine - INFO - Epoch(train) [106][1400/3757] lr: 6.3926e-02 eta: 1 day, 20:32:01 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.5276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9657 loss: 2.9657 2022/08/14 15:17:13 - mmengine - INFO - Epoch(train) [106][1500/3757] lr: 6.3926e-02 eta: 1 day, 20:31:34 time: 0.2872 data_time: 0.0196 memory: 6334 grad_norm: 2.5706 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0498 loss: 3.0498 2022/08/14 15:17:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:17:42 - mmengine - INFO - Epoch(train) [106][1600/3757] lr: 6.3926e-02 eta: 1 day, 20:31:06 time: 0.2848 data_time: 0.0182 memory: 6334 grad_norm: 2.5328 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6549 loss: 2.6549 2022/08/14 15:18:10 - mmengine - INFO - Epoch(train) [106][1700/3757] lr: 6.3926e-02 eta: 1 day, 20:30:38 time: 0.2893 data_time: 0.0200 memory: 6334 grad_norm: 2.6039 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2011 loss: 3.2011 2022/08/14 15:18:39 - mmengine - INFO - Epoch(train) [106][1800/3757] lr: 6.3926e-02 eta: 1 day, 20:30:11 time: 0.2878 data_time: 0.0180 memory: 6334 grad_norm: 2.6058 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7267 loss: 2.7267 2022/08/14 15:19:08 - mmengine - INFO - Epoch(train) [106][1900/3757] lr: 6.3926e-02 eta: 1 day, 20:29:43 time: 0.2893 data_time: 0.0179 memory: 6334 grad_norm: 2.5983 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9572 loss: 2.9572 2022/08/14 15:19:37 - mmengine - INFO - Epoch(train) [106][2000/3757] lr: 6.3926e-02 eta: 1 day, 20:29:15 time: 0.2847 data_time: 0.0187 memory: 6334 grad_norm: 2.5261 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7316 loss: 2.7316 2022/08/14 15:20:06 - mmengine - INFO - Epoch(train) [106][2100/3757] lr: 6.3926e-02 eta: 1 day, 20:28:47 time: 0.2837 data_time: 0.0172 memory: 6334 grad_norm: 2.6349 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8932 loss: 2.8932 2022/08/14 15:20:34 - mmengine - INFO - Epoch(train) [106][2200/3757] lr: 6.3926e-02 eta: 1 day, 20:28:19 time: 0.2854 data_time: 0.0190 memory: 6334 grad_norm: 2.6313 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2790 loss: 3.2790 2022/08/14 15:21:03 - mmengine - INFO - Epoch(train) [106][2300/3757] lr: 6.3926e-02 eta: 1 day, 20:27:51 time: 0.2875 data_time: 0.0186 memory: 6334 grad_norm: 2.5774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8681 loss: 2.8681 2022/08/14 15:21:32 - mmengine - INFO - Epoch(train) [106][2400/3757] lr: 6.3926e-02 eta: 1 day, 20:27:24 time: 0.2853 data_time: 0.0187 memory: 6334 grad_norm: 2.6469 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9315 loss: 2.9315 2022/08/14 15:22:01 - mmengine - INFO - Epoch(train) [106][2500/3757] lr: 6.3926e-02 eta: 1 day, 20:26:56 time: 0.2855 data_time: 0.0180 memory: 6334 grad_norm: 2.6389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6974 loss: 2.6974 2022/08/14 15:22:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:22:30 - mmengine - INFO - Epoch(train) [106][2600/3757] lr: 6.3926e-02 eta: 1 day, 20:26:28 time: 0.2860 data_time: 0.0183 memory: 6334 grad_norm: 2.7000 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9216 loss: 2.9216 2022/08/14 15:22:59 - mmengine - INFO - Epoch(train) [106][2700/3757] lr: 6.3926e-02 eta: 1 day, 20:26:00 time: 0.2893 data_time: 0.0195 memory: 6334 grad_norm: 2.5980 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8817 loss: 2.8817 2022/08/14 15:23:27 - mmengine - INFO - Epoch(train) [106][2800/3757] lr: 6.3926e-02 eta: 1 day, 20:25:32 time: 0.2848 data_time: 0.0181 memory: 6334 grad_norm: 2.5876 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0068 loss: 3.0068 2022/08/14 15:23:56 - mmengine - INFO - Epoch(train) [106][2900/3757] lr: 6.3926e-02 eta: 1 day, 20:25:04 time: 0.2836 data_time: 0.0179 memory: 6334 grad_norm: 2.6344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8482 loss: 2.8482 2022/08/14 15:24:25 - mmengine - INFO - Epoch(train) [106][3000/3757] lr: 6.3926e-02 eta: 1 day, 20:24:37 time: 0.2860 data_time: 0.0203 memory: 6334 grad_norm: 2.6566 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0121 loss: 3.0121 2022/08/14 15:24:54 - mmengine - INFO - Epoch(train) [106][3100/3757] lr: 6.3926e-02 eta: 1 day, 20:24:09 time: 0.2850 data_time: 0.0168 memory: 6334 grad_norm: 2.6726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5584 loss: 2.5584 2022/08/14 15:25:23 - mmengine - INFO - Epoch(train) [106][3200/3757] lr: 6.3926e-02 eta: 1 day, 20:23:41 time: 0.2896 data_time: 0.0186 memory: 6334 grad_norm: 2.5884 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0395 loss: 3.0395 2022/08/14 15:25:52 - mmengine - INFO - Epoch(train) [106][3300/3757] lr: 6.3926e-02 eta: 1 day, 20:23:13 time: 0.2850 data_time: 0.0190 memory: 6334 grad_norm: 2.5791 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1198 loss: 3.1198 2022/08/14 15:26:20 - mmengine - INFO - Epoch(train) [106][3400/3757] lr: 6.3926e-02 eta: 1 day, 20:22:45 time: 0.2877 data_time: 0.0193 memory: 6334 grad_norm: 2.5875 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0597 loss: 3.0597 2022/08/14 15:26:49 - mmengine - INFO - Epoch(train) [106][3500/3757] lr: 6.3926e-02 eta: 1 day, 20:22:18 time: 0.2847 data_time: 0.0175 memory: 6334 grad_norm: 2.6163 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0753 loss: 3.0753 2022/08/14 15:26:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:27:18 - mmengine - INFO - Epoch(train) [106][3600/3757] lr: 6.3926e-02 eta: 1 day, 20:21:50 time: 0.2856 data_time: 0.0186 memory: 6334 grad_norm: 2.6570 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9687 loss: 2.9687 2022/08/14 15:27:47 - mmengine - INFO - Epoch(train) [106][3700/3757] lr: 6.3926e-02 eta: 1 day, 20:21:22 time: 0.2849 data_time: 0.0182 memory: 6334 grad_norm: 2.7119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8634 loss: 2.8634 2022/08/14 15:28:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:28:03 - mmengine - INFO - Epoch(train) [106][3757/3757] lr: 6.3926e-02 eta: 1 day, 20:21:11 time: 0.2643 data_time: 0.0145 memory: 6334 grad_norm: 2.6260 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.1955 loss: 3.1955 2022/08/14 15:28:34 - mmengine - INFO - Epoch(train) [107][100/3757] lr: 6.3336e-02 eta: 1 day, 20:20:35 time: 0.2876 data_time: 0.0186 memory: 6334 grad_norm: 2.5842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9049 loss: 2.9049 2022/08/14 15:29:03 - mmengine - INFO - Epoch(train) [107][200/3757] lr: 6.3336e-02 eta: 1 day, 20:20:07 time: 0.2846 data_time: 0.0188 memory: 6334 grad_norm: 2.6960 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7652 loss: 2.7652 2022/08/14 15:29:32 - mmengine - INFO - Epoch(train) [107][300/3757] lr: 6.3336e-02 eta: 1 day, 20:19:39 time: 0.2838 data_time: 0.0185 memory: 6334 grad_norm: 2.6750 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0738 loss: 3.0738 2022/08/14 15:30:01 - mmengine - INFO - Epoch(train) [107][400/3757] lr: 6.3336e-02 eta: 1 day, 20:19:12 time: 0.2883 data_time: 0.0201 memory: 6334 grad_norm: 2.6078 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8291 loss: 2.8291 2022/08/14 15:30:30 - mmengine - INFO - Epoch(train) [107][500/3757] lr: 6.3336e-02 eta: 1 day, 20:18:44 time: 0.2845 data_time: 0.0183 memory: 6334 grad_norm: 2.6191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0436 loss: 3.0436 2022/08/14 15:30:59 - mmengine - INFO - Epoch(train) [107][600/3757] lr: 6.3336e-02 eta: 1 day, 20:18:16 time: 0.2865 data_time: 0.0193 memory: 6334 grad_norm: 2.6633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1434 loss: 3.1434 2022/08/14 15:31:27 - mmengine - INFO - Epoch(train) [107][700/3757] lr: 6.3336e-02 eta: 1 day, 20:17:48 time: 0.2862 data_time: 0.0184 memory: 6334 grad_norm: 2.5819 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9672 loss: 2.9672 2022/08/14 15:31:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:31:56 - mmengine - INFO - Epoch(train) [107][800/3757] lr: 6.3336e-02 eta: 1 day, 20:17:20 time: 0.2838 data_time: 0.0183 memory: 6334 grad_norm: 2.6186 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8919 loss: 2.8919 2022/08/14 15:32:25 - mmengine - INFO - Epoch(train) [107][900/3757] lr: 6.3336e-02 eta: 1 day, 20:16:53 time: 0.2858 data_time: 0.0194 memory: 6334 grad_norm: 2.6009 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8792 loss: 2.8792 2022/08/14 15:32:54 - mmengine - INFO - Epoch(train) [107][1000/3757] lr: 6.3336e-02 eta: 1 day, 20:16:25 time: 0.2857 data_time: 0.0195 memory: 6334 grad_norm: 2.5729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0076 loss: 3.0076 2022/08/14 15:33:23 - mmengine - INFO - Epoch(train) [107][1100/3757] lr: 6.3336e-02 eta: 1 day, 20:15:57 time: 0.2899 data_time: 0.0201 memory: 6334 grad_norm: 2.5986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9921 loss: 2.9921 2022/08/14 15:33:52 - mmengine - INFO - Epoch(train) [107][1200/3757] lr: 6.3336e-02 eta: 1 day, 20:15:29 time: 0.2880 data_time: 0.0187 memory: 6334 grad_norm: 2.6338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2647 loss: 3.2647 2022/08/14 15:34:20 - mmengine - INFO - Epoch(train) [107][1300/3757] lr: 6.3336e-02 eta: 1 day, 20:15:02 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.6667 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9912 loss: 2.9912 2022/08/14 15:34:49 - mmengine - INFO - Epoch(train) [107][1400/3757] lr: 6.3336e-02 eta: 1 day, 20:14:34 time: 0.2914 data_time: 0.0206 memory: 6334 grad_norm: 2.6145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5460 loss: 2.5460 2022/08/14 15:35:18 - mmengine - INFO - Epoch(train) [107][1500/3757] lr: 6.3336e-02 eta: 1 day, 20:14:06 time: 0.2852 data_time: 0.0184 memory: 6334 grad_norm: 2.6026 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8563 loss: 2.8563 2022/08/14 15:35:47 - mmengine - INFO - Epoch(train) [107][1600/3757] lr: 6.3336e-02 eta: 1 day, 20:13:38 time: 0.2852 data_time: 0.0190 memory: 6334 grad_norm: 2.6147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0896 loss: 3.0896 2022/08/14 15:36:16 - mmengine - INFO - Epoch(train) [107][1700/3757] lr: 6.3336e-02 eta: 1 day, 20:13:10 time: 0.2837 data_time: 0.0187 memory: 6334 grad_norm: 2.6630 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9773 loss: 2.9773 2022/08/14 15:36:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:36:45 - mmengine - INFO - Epoch(train) [107][1800/3757] lr: 6.3336e-02 eta: 1 day, 20:12:43 time: 0.2895 data_time: 0.0184 memory: 6334 grad_norm: 2.6191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0391 loss: 3.0391 2022/08/14 15:37:13 - mmengine - INFO - Epoch(train) [107][1900/3757] lr: 6.3336e-02 eta: 1 day, 20:12:15 time: 0.2866 data_time: 0.0183 memory: 6334 grad_norm: 2.5859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8814 loss: 2.8814 2022/08/14 15:37:42 - mmengine - INFO - Epoch(train) [107][2000/3757] lr: 6.3336e-02 eta: 1 day, 20:11:47 time: 0.2881 data_time: 0.0196 memory: 6334 grad_norm: 2.5968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8666 loss: 2.8666 2022/08/14 15:38:11 - mmengine - INFO - Epoch(train) [107][2100/3757] lr: 6.3336e-02 eta: 1 day, 20:11:19 time: 0.2896 data_time: 0.0185 memory: 6334 grad_norm: 2.5655 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9246 loss: 2.9246 2022/08/14 15:38:40 - mmengine - INFO - Epoch(train) [107][2200/3757] lr: 6.3336e-02 eta: 1 day, 20:10:51 time: 0.2847 data_time: 0.0199 memory: 6334 grad_norm: 2.5702 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3457 loss: 3.3457 2022/08/14 15:39:09 - mmengine - INFO - Epoch(train) [107][2300/3757] lr: 6.3336e-02 eta: 1 day, 20:10:23 time: 0.2861 data_time: 0.0182 memory: 6334 grad_norm: 2.6150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6832 loss: 2.6832 2022/08/14 15:39:37 - mmengine - INFO - Epoch(train) [107][2400/3757] lr: 6.3336e-02 eta: 1 day, 20:09:55 time: 0.2845 data_time: 0.0192 memory: 6334 grad_norm: 2.6236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5117 loss: 2.5117 2022/08/14 15:40:06 - mmengine - INFO - Epoch(train) [107][2500/3757] lr: 6.3336e-02 eta: 1 day, 20:09:28 time: 0.2869 data_time: 0.0181 memory: 6334 grad_norm: 2.6410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8616 loss: 2.8616 2022/08/14 15:40:35 - mmengine - INFO - Epoch(train) [107][2600/3757] lr: 6.3336e-02 eta: 1 day, 20:09:00 time: 0.2854 data_time: 0.0194 memory: 6334 grad_norm: 2.6073 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9941 loss: 2.9941 2022/08/14 15:41:04 - mmengine - INFO - Epoch(train) [107][2700/3757] lr: 6.3336e-02 eta: 1 day, 20:08:32 time: 0.2857 data_time: 0.0193 memory: 6334 grad_norm: 2.6513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6776 loss: 2.6776 2022/08/14 15:41:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:41:33 - mmengine - INFO - Epoch(train) [107][2800/3757] lr: 6.3336e-02 eta: 1 day, 20:08:04 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.7019 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8579 loss: 2.8579 2022/08/14 15:42:01 - mmengine - INFO - Epoch(train) [107][2900/3757] lr: 6.3336e-02 eta: 1 day, 20:07:36 time: 0.2832 data_time: 0.0177 memory: 6334 grad_norm: 2.5951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9273 loss: 2.9273 2022/08/14 15:42:30 - mmengine - INFO - Epoch(train) [107][3000/3757] lr: 6.3336e-02 eta: 1 day, 20:07:08 time: 0.2903 data_time: 0.0195 memory: 6334 grad_norm: 2.6691 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8790 loss: 2.8790 2022/08/14 15:42:59 - mmengine - INFO - Epoch(train) [107][3100/3757] lr: 6.3336e-02 eta: 1 day, 20:06:40 time: 0.2868 data_time: 0.0183 memory: 6334 grad_norm: 2.6226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9116 loss: 2.9116 2022/08/14 15:43:28 - mmengine - INFO - Epoch(train) [107][3200/3757] lr: 6.3336e-02 eta: 1 day, 20:06:13 time: 0.2833 data_time: 0.0181 memory: 6334 grad_norm: 2.6146 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9481 loss: 2.9481 2022/08/14 15:43:57 - mmengine - INFO - Epoch(train) [107][3300/3757] lr: 6.3336e-02 eta: 1 day, 20:05:45 time: 0.2860 data_time: 0.0190 memory: 6334 grad_norm: 2.6180 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9212 loss: 2.9212 2022/08/14 15:44:26 - mmengine - INFO - Epoch(train) [107][3400/3757] lr: 6.3336e-02 eta: 1 day, 20:05:18 time: 0.2845 data_time: 0.0167 memory: 6334 grad_norm: 2.6355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8671 loss: 2.8671 2022/08/14 15:44:55 - mmengine - INFO - Epoch(train) [107][3500/3757] lr: 6.3336e-02 eta: 1 day, 20:04:50 time: 0.2867 data_time: 0.0196 memory: 6334 grad_norm: 2.6221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8106 loss: 2.8106 2022/08/14 15:45:24 - mmengine - INFO - Epoch(train) [107][3600/3757] lr: 6.3336e-02 eta: 1 day, 20:04:22 time: 0.2895 data_time: 0.0177 memory: 6334 grad_norm: 2.6515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1076 loss: 3.1076 2022/08/14 15:45:53 - mmengine - INFO - Epoch(train) [107][3700/3757] lr: 6.3336e-02 eta: 1 day, 20:03:54 time: 0.2876 data_time: 0.0176 memory: 6334 grad_norm: 2.6076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8874 loss: 2.8874 2022/08/14 15:46:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:46:09 - mmengine - INFO - Epoch(train) [107][3757/3757] lr: 6.3336e-02 eta: 1 day, 20:03:43 time: 0.2638 data_time: 0.0150 memory: 6334 grad_norm: 2.6107 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.9267 loss: 2.9267 2022/08/14 15:46:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:46:40 - mmengine - INFO - Epoch(train) [108][100/3757] lr: 6.2743e-02 eta: 1 day, 20:03:07 time: 0.2864 data_time: 0.0190 memory: 6334 grad_norm: 2.6401 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1257 loss: 3.1257 2022/08/14 15:47:08 - mmengine - INFO - Epoch(train) [108][200/3757] lr: 6.2743e-02 eta: 1 day, 20:02:39 time: 0.2850 data_time: 0.0173 memory: 6334 grad_norm: 2.6368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1514 loss: 3.1514 2022/08/14 15:47:37 - mmengine - INFO - Epoch(train) [108][300/3757] lr: 6.2743e-02 eta: 1 day, 20:02:11 time: 0.2858 data_time: 0.0185 memory: 6334 grad_norm: 2.6606 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8014 loss: 2.8014 2022/08/14 15:48:06 - mmengine - INFO - Epoch(train) [108][400/3757] lr: 6.2743e-02 eta: 1 day, 20:01:43 time: 0.2860 data_time: 0.0190 memory: 6334 grad_norm: 2.6390 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1906 loss: 3.1906 2022/08/14 15:48:35 - mmengine - INFO - Epoch(train) [108][500/3757] lr: 6.2743e-02 eta: 1 day, 20:01:15 time: 0.2921 data_time: 0.0196 memory: 6334 grad_norm: 2.6385 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8997 loss: 2.8997 2022/08/14 15:49:04 - mmengine - INFO - Epoch(train) [108][600/3757] lr: 6.2743e-02 eta: 1 day, 20:00:48 time: 0.2854 data_time: 0.0188 memory: 6334 grad_norm: 2.6529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8256 loss: 2.8256 2022/08/14 15:49:33 - mmengine - INFO - Epoch(train) [108][700/3757] lr: 6.2743e-02 eta: 1 day, 20:00:20 time: 0.2898 data_time: 0.0203 memory: 6334 grad_norm: 2.5714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6408 loss: 2.6408 2022/08/14 15:50:02 - mmengine - INFO - Epoch(train) [108][800/3757] lr: 6.2743e-02 eta: 1 day, 19:59:52 time: 0.2846 data_time: 0.0191 memory: 6334 grad_norm: 2.5927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9700 loss: 2.9700 2022/08/14 15:50:30 - mmengine - INFO - Epoch(train) [108][900/3757] lr: 6.2743e-02 eta: 1 day, 19:59:24 time: 0.2861 data_time: 0.0192 memory: 6334 grad_norm: 2.6435 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4537 loss: 2.4537 2022/08/14 15:50:59 - mmengine - INFO - Epoch(train) [108][1000/3757] lr: 6.2743e-02 eta: 1 day, 19:58:56 time: 0.2848 data_time: 0.0173 memory: 6334 grad_norm: 2.5856 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9396 loss: 2.9396 2022/08/14 15:51:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:51:28 - mmengine - INFO - Epoch(train) [108][1100/3757] lr: 6.2743e-02 eta: 1 day, 19:58:28 time: 0.2840 data_time: 0.0171 memory: 6334 grad_norm: 2.6277 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1061 loss: 3.1061 2022/08/14 15:51:57 - mmengine - INFO - Epoch(train) [108][1200/3757] lr: 6.2743e-02 eta: 1 day, 19:58:01 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.6383 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7179 loss: 2.7179 2022/08/14 15:52:26 - mmengine - INFO - Epoch(train) [108][1300/3757] lr: 6.2743e-02 eta: 1 day, 19:57:33 time: 0.2873 data_time: 0.0200 memory: 6334 grad_norm: 2.6294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8902 loss: 2.8902 2022/08/14 15:52:55 - mmengine - INFO - Epoch(train) [108][1400/3757] lr: 6.2743e-02 eta: 1 day, 19:57:05 time: 0.2868 data_time: 0.0189 memory: 6334 grad_norm: 2.6301 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8379 loss: 2.8379 2022/08/14 15:53:23 - mmengine - INFO - Epoch(train) [108][1500/3757] lr: 6.2743e-02 eta: 1 day, 19:56:37 time: 0.2866 data_time: 0.0190 memory: 6334 grad_norm: 2.7812 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1180 loss: 3.1180 2022/08/14 15:53:52 - mmengine - INFO - Epoch(train) [108][1600/3757] lr: 6.2743e-02 eta: 1 day, 19:56:09 time: 0.2864 data_time: 0.0194 memory: 6334 grad_norm: 2.6572 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7596 loss: 2.7596 2022/08/14 15:54:21 - mmengine - INFO - Epoch(train) [108][1700/3757] lr: 6.2743e-02 eta: 1 day, 19:55:41 time: 0.2858 data_time: 0.0175 memory: 6334 grad_norm: 2.5583 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9358 loss: 2.9358 2022/08/14 15:54:50 - mmengine - INFO - Epoch(train) [108][1800/3757] lr: 6.2743e-02 eta: 1 day, 19:55:14 time: 0.2870 data_time: 0.0194 memory: 6334 grad_norm: 2.6050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6212 loss: 2.6212 2022/08/14 15:55:19 - mmengine - INFO - Epoch(train) [108][1900/3757] lr: 6.2743e-02 eta: 1 day, 19:54:46 time: 0.2847 data_time: 0.0182 memory: 6334 grad_norm: 2.6602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8493 loss: 2.8493 2022/08/14 15:55:47 - mmengine - INFO - Epoch(train) [108][2000/3757] lr: 6.2743e-02 eta: 1 day, 19:54:18 time: 0.2864 data_time: 0.0168 memory: 6334 grad_norm: 2.6541 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4553 loss: 3.4553 2022/08/14 15:55:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 15:56:16 - mmengine - INFO - Epoch(train) [108][2100/3757] lr: 6.2743e-02 eta: 1 day, 19:53:50 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.6051 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0696 loss: 3.0696 2022/08/14 15:56:45 - mmengine - INFO - Epoch(train) [108][2200/3757] lr: 6.2743e-02 eta: 1 day, 19:53:22 time: 0.2862 data_time: 0.0181 memory: 6334 grad_norm: 2.6483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8954 loss: 2.8954 2022/08/14 15:57:14 - mmengine - INFO - Epoch(train) [108][2300/3757] lr: 6.2743e-02 eta: 1 day, 19:52:54 time: 0.2876 data_time: 0.0190 memory: 6334 grad_norm: 2.6757 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8264 loss: 2.8264 2022/08/14 15:57:43 - mmengine - INFO - Epoch(train) [108][2400/3757] lr: 6.2743e-02 eta: 1 day, 19:52:26 time: 0.2871 data_time: 0.0184 memory: 6334 grad_norm: 2.6719 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9946 loss: 2.9946 2022/08/14 15:58:11 - mmengine - INFO - Epoch(train) [108][2500/3757] lr: 6.2743e-02 eta: 1 day, 19:51:58 time: 0.2859 data_time: 0.0204 memory: 6334 grad_norm: 2.6576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9220 loss: 2.9220 2022/08/14 15:58:40 - mmengine - INFO - Epoch(train) [108][2600/3757] lr: 6.2743e-02 eta: 1 day, 19:51:30 time: 0.2863 data_time: 0.0189 memory: 6334 grad_norm: 2.6826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9619 loss: 2.9619 2022/08/14 15:59:09 - mmengine - INFO - Epoch(train) [108][2700/3757] lr: 6.2743e-02 eta: 1 day, 19:51:03 time: 0.2855 data_time: 0.0192 memory: 6334 grad_norm: 2.5107 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7258 loss: 2.7258 2022/08/14 15:59:38 - mmengine - INFO - Epoch(train) [108][2800/3757] lr: 6.2743e-02 eta: 1 day, 19:50:35 time: 0.2850 data_time: 0.0186 memory: 6334 grad_norm: 2.6928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9493 loss: 2.9493 2022/08/14 16:00:07 - mmengine - INFO - Epoch(train) [108][2900/3757] lr: 6.2743e-02 eta: 1 day, 19:50:07 time: 0.2873 data_time: 0.0203 memory: 6334 grad_norm: 2.7127 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0042 loss: 3.0042 2022/08/14 16:00:36 - mmengine - INFO - Epoch(train) [108][3000/3757] lr: 6.2743e-02 eta: 1 day, 19:49:39 time: 0.2845 data_time: 0.0193 memory: 6334 grad_norm: 2.6087 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9918 loss: 2.9918 2022/08/14 16:00:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:01:04 - mmengine - INFO - Epoch(train) [108][3100/3757] lr: 6.2743e-02 eta: 1 day, 19:49:12 time: 0.2890 data_time: 0.0191 memory: 6334 grad_norm: 2.6177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9135 loss: 2.9135 2022/08/14 16:01:33 - mmengine - INFO - Epoch(train) [108][3200/3757] lr: 6.2743e-02 eta: 1 day, 19:48:44 time: 0.2905 data_time: 0.0172 memory: 6334 grad_norm: 2.5876 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9968 loss: 2.9968 2022/08/14 16:02:02 - mmengine - INFO - Epoch(train) [108][3300/3757] lr: 6.2743e-02 eta: 1 day, 19:48:16 time: 0.2864 data_time: 0.0209 memory: 6334 grad_norm: 2.6580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1438 loss: 3.1438 2022/08/14 16:02:31 - mmengine - INFO - Epoch(train) [108][3400/3757] lr: 6.2743e-02 eta: 1 day, 19:47:48 time: 0.2881 data_time: 0.0183 memory: 6334 grad_norm: 2.6682 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0042 loss: 3.0042 2022/08/14 16:03:00 - mmengine - INFO - Epoch(train) [108][3500/3757] lr: 6.2743e-02 eta: 1 day, 19:47:21 time: 0.2867 data_time: 0.0194 memory: 6334 grad_norm: 2.6381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4923 loss: 2.4923 2022/08/14 16:03:29 - mmengine - INFO - Epoch(train) [108][3600/3757] lr: 6.2743e-02 eta: 1 day, 19:46:53 time: 0.2844 data_time: 0.0174 memory: 6334 grad_norm: 2.6589 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8564 loss: 2.8564 2022/08/14 16:03:58 - mmengine - INFO - Epoch(train) [108][3700/3757] lr: 6.2743e-02 eta: 1 day, 19:46:25 time: 0.2873 data_time: 0.0187 memory: 6334 grad_norm: 2.5573 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0804 loss: 3.0804 2022/08/14 16:04:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:04:14 - mmengine - INFO - Epoch(train) [108][3757/3757] lr: 6.2743e-02 eta: 1 day, 19:46:14 time: 0.2658 data_time: 0.0159 memory: 6334 grad_norm: 2.7246 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.9149 loss: 2.9149 2022/08/14 16:04:14 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/14 16:04:47 - mmengine - INFO - Epoch(train) [109][100/3757] lr: 6.2149e-02 eta: 1 day, 19:45:36 time: 0.2857 data_time: 0.0180 memory: 6334 grad_norm: 2.6614 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8293 loss: 2.8293 2022/08/14 16:05:16 - mmengine - INFO - Epoch(train) [109][200/3757] lr: 6.2149e-02 eta: 1 day, 19:45:09 time: 0.2887 data_time: 0.0195 memory: 6334 grad_norm: 2.6519 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5808 loss: 2.5808 2022/08/14 16:05:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:05:45 - mmengine - INFO - Epoch(train) [109][300/3757] lr: 6.2149e-02 eta: 1 day, 19:44:41 time: 0.2854 data_time: 0.0190 memory: 6334 grad_norm: 2.6088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7229 loss: 2.7229 2022/08/14 16:06:14 - mmengine - INFO - Epoch(train) [109][400/3757] lr: 6.2149e-02 eta: 1 day, 19:44:13 time: 0.2908 data_time: 0.0217 memory: 6334 grad_norm: 2.6296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8988 loss: 2.8988 2022/08/14 16:06:43 - mmengine - INFO - Epoch(train) [109][500/3757] lr: 6.2149e-02 eta: 1 day, 19:43:45 time: 0.2923 data_time: 0.0186 memory: 6334 grad_norm: 2.6692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8329 loss: 2.8329 2022/08/14 16:07:12 - mmengine - INFO - Epoch(train) [109][600/3757] lr: 6.2149e-02 eta: 1 day, 19:43:18 time: 0.2839 data_time: 0.0192 memory: 6334 grad_norm: 2.6519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9570 loss: 2.9570 2022/08/14 16:07:41 - mmengine - INFO - Epoch(train) [109][700/3757] lr: 6.2149e-02 eta: 1 day, 19:42:50 time: 0.2860 data_time: 0.0178 memory: 6334 grad_norm: 2.6007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8379 loss: 2.8379 2022/08/14 16:08:10 - mmengine - INFO - Epoch(train) [109][800/3757] lr: 6.2149e-02 eta: 1 day, 19:42:22 time: 0.2843 data_time: 0.0181 memory: 6334 grad_norm: 2.6388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0431 loss: 3.0431 2022/08/14 16:08:38 - mmengine - INFO - Epoch(train) [109][900/3757] lr: 6.2149e-02 eta: 1 day, 19:41:54 time: 0.2844 data_time: 0.0172 memory: 6334 grad_norm: 2.6206 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9881 loss: 2.9881 2022/08/14 16:09:07 - mmengine - INFO - Epoch(train) [109][1000/3757] lr: 6.2149e-02 eta: 1 day, 19:41:26 time: 0.2856 data_time: 0.0193 memory: 6334 grad_norm: 2.7054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9054 loss: 2.9054 2022/08/14 16:09:36 - mmengine - INFO - Epoch(train) [109][1100/3757] lr: 6.2149e-02 eta: 1 day, 19:40:58 time: 0.2865 data_time: 0.0198 memory: 6334 grad_norm: 2.6705 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9850 loss: 2.9850 2022/08/14 16:10:05 - mmengine - INFO - Epoch(train) [109][1200/3757] lr: 6.2149e-02 eta: 1 day, 19:40:30 time: 0.2848 data_time: 0.0187 memory: 6334 grad_norm: 2.7020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8472 loss: 2.8472 2022/08/14 16:10:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:10:34 - mmengine - INFO - Epoch(train) [109][1300/3757] lr: 6.2149e-02 eta: 1 day, 19:40:03 time: 0.3048 data_time: 0.0190 memory: 6334 grad_norm: 2.6228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9351 loss: 2.9351 2022/08/14 16:11:03 - mmengine - INFO - Epoch(train) [109][1400/3757] lr: 6.2149e-02 eta: 1 day, 19:39:35 time: 0.2909 data_time: 0.0182 memory: 6334 grad_norm: 2.6279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0587 loss: 3.0587 2022/08/14 16:11:32 - mmengine - INFO - Epoch(train) [109][1500/3757] lr: 6.2149e-02 eta: 1 day, 19:39:08 time: 0.2878 data_time: 0.0186 memory: 6334 grad_norm: 2.6472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9063 loss: 2.9063 2022/08/14 16:12:01 - mmengine - INFO - Epoch(train) [109][1600/3757] lr: 6.2149e-02 eta: 1 day, 19:38:40 time: 0.2847 data_time: 0.0179 memory: 6334 grad_norm: 2.6747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9404 loss: 2.9404 2022/08/14 16:12:30 - mmengine - INFO - Epoch(train) [109][1700/3757] lr: 6.2149e-02 eta: 1 day, 19:38:12 time: 0.2852 data_time: 0.0175 memory: 6334 grad_norm: 2.7281 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7420 loss: 2.7420 2022/08/14 16:12:58 - mmengine - INFO - Epoch(train) [109][1800/3757] lr: 6.2149e-02 eta: 1 day, 19:37:44 time: 0.2853 data_time: 0.0182 memory: 6334 grad_norm: 2.6774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7272 loss: 2.7272 2022/08/14 16:13:27 - mmengine - INFO - Epoch(train) [109][1900/3757] lr: 6.2149e-02 eta: 1 day, 19:37:16 time: 0.2856 data_time: 0.0187 memory: 6334 grad_norm: 2.5606 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7085 loss: 2.7085 2022/08/14 16:13:56 - mmengine - INFO - Epoch(train) [109][2000/3757] lr: 6.2149e-02 eta: 1 day, 19:36:48 time: 0.2874 data_time: 0.0199 memory: 6334 grad_norm: 2.6814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1134 loss: 3.1134 2022/08/14 16:14:25 - mmengine - INFO - Epoch(train) [109][2100/3757] lr: 6.2149e-02 eta: 1 day, 19:36:21 time: 0.2863 data_time: 0.0185 memory: 6334 grad_norm: 2.7223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0076 loss: 3.0076 2022/08/14 16:14:54 - mmengine - INFO - Epoch(train) [109][2200/3757] lr: 6.2149e-02 eta: 1 day, 19:35:53 time: 0.2891 data_time: 0.0194 memory: 6334 grad_norm: 2.6055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9190 loss: 2.9190 2022/08/14 16:15:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:15:23 - mmengine - INFO - Epoch(train) [109][2300/3757] lr: 6.2149e-02 eta: 1 day, 19:35:25 time: 0.2854 data_time: 0.0190 memory: 6334 grad_norm: 2.6771 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8545 loss: 2.8545 2022/08/14 16:15:52 - mmengine - INFO - Epoch(train) [109][2400/3757] lr: 6.2149e-02 eta: 1 day, 19:34:57 time: 0.2856 data_time: 0.0181 memory: 6334 grad_norm: 2.6857 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9563 loss: 2.9563 2022/08/14 16:16:21 - mmengine - INFO - Epoch(train) [109][2500/3757] lr: 6.2149e-02 eta: 1 day, 19:34:30 time: 0.2851 data_time: 0.0184 memory: 6334 grad_norm: 2.6732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9638 loss: 2.9638 2022/08/14 16:16:50 - mmengine - INFO - Epoch(train) [109][2600/3757] lr: 6.2149e-02 eta: 1 day, 19:34:02 time: 0.2851 data_time: 0.0185 memory: 6334 grad_norm: 2.6255 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4240 loss: 2.4240 2022/08/14 16:17:18 - mmengine - INFO - Epoch(train) [109][2700/3757] lr: 6.2149e-02 eta: 1 day, 19:33:34 time: 0.2846 data_time: 0.0177 memory: 6334 grad_norm: 2.6321 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8011 loss: 2.8011 2022/08/14 16:17:47 - mmengine - INFO - Epoch(train) [109][2800/3757] lr: 6.2149e-02 eta: 1 day, 19:33:06 time: 0.2889 data_time: 0.0185 memory: 6334 grad_norm: 2.6484 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7472 loss: 2.7472 2022/08/14 16:18:16 - mmengine - INFO - Epoch(train) [109][2900/3757] lr: 6.2149e-02 eta: 1 day, 19:32:39 time: 0.2859 data_time: 0.0179 memory: 6334 grad_norm: 2.6716 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9255 loss: 2.9255 2022/08/14 16:18:45 - mmengine - INFO - Epoch(train) [109][3000/3757] lr: 6.2149e-02 eta: 1 day, 19:32:11 time: 0.2928 data_time: 0.0188 memory: 6334 grad_norm: 2.6129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7575 loss: 2.7575 2022/08/14 16:19:14 - mmengine - INFO - Epoch(train) [109][3100/3757] lr: 6.2149e-02 eta: 1 day, 19:31:43 time: 0.2859 data_time: 0.0189 memory: 6334 grad_norm: 2.5732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9649 loss: 2.9649 2022/08/14 16:19:43 - mmengine - INFO - Epoch(train) [109][3200/3757] lr: 6.2149e-02 eta: 1 day, 19:31:15 time: 0.2880 data_time: 0.0184 memory: 6334 grad_norm: 2.6957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0042 loss: 3.0042 2022/08/14 16:19:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:20:12 - mmengine - INFO - Epoch(train) [109][3300/3757] lr: 6.2149e-02 eta: 1 day, 19:30:47 time: 0.2864 data_time: 0.0190 memory: 6334 grad_norm: 2.6392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7701 loss: 2.7701 2022/08/14 16:20:40 - mmengine - INFO - Epoch(train) [109][3400/3757] lr: 6.2149e-02 eta: 1 day, 19:30:19 time: 0.2866 data_time: 0.0190 memory: 6334 grad_norm: 2.5309 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9628 loss: 2.9628 2022/08/14 16:21:09 - mmengine - INFO - Epoch(train) [109][3500/3757] lr: 6.2149e-02 eta: 1 day, 19:29:52 time: 0.2854 data_time: 0.0185 memory: 6334 grad_norm: 2.6170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7587 loss: 2.7587 2022/08/14 16:21:38 - mmengine - INFO - Epoch(train) [109][3600/3757] lr: 6.2149e-02 eta: 1 day, 19:29:24 time: 0.2869 data_time: 0.0177 memory: 6334 grad_norm: 2.6738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0124 loss: 3.0124 2022/08/14 16:22:07 - mmengine - INFO - Epoch(train) [109][3700/3757] lr: 6.2149e-02 eta: 1 day, 19:28:56 time: 0.2877 data_time: 0.0187 memory: 6334 grad_norm: 2.7496 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9876 loss: 2.9876 2022/08/14 16:22:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:22:23 - mmengine - INFO - Epoch(train) [109][3757/3757] lr: 6.2149e-02 eta: 1 day, 19:28:45 time: 0.2664 data_time: 0.0164 memory: 6334 grad_norm: 2.6354 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.8689 loss: 2.8689 2022/08/14 16:22:54 - mmengine - INFO - Epoch(train) [110][100/3757] lr: 6.1553e-02 eta: 1 day, 19:28:09 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.6666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9537 loss: 2.9537 2022/08/14 16:23:23 - mmengine - INFO - Epoch(train) [110][200/3757] lr: 6.1553e-02 eta: 1 day, 19:27:41 time: 0.2872 data_time: 0.0186 memory: 6334 grad_norm: 2.6452 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7094 loss: 2.7094 2022/08/14 16:23:52 - mmengine - INFO - Epoch(train) [110][300/3757] lr: 6.1553e-02 eta: 1 day, 19:27:13 time: 0.2853 data_time: 0.0179 memory: 6334 grad_norm: 2.5840 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0626 loss: 3.0626 2022/08/14 16:24:21 - mmengine - INFO - Epoch(train) [110][400/3757] lr: 6.1553e-02 eta: 1 day, 19:26:46 time: 0.2869 data_time: 0.0189 memory: 6334 grad_norm: 2.6659 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9037 loss: 2.9037 2022/08/14 16:24:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:24:50 - mmengine - INFO - Epoch(train) [110][500/3757] lr: 6.1553e-02 eta: 1 day, 19:26:18 time: 0.2868 data_time: 0.0194 memory: 6334 grad_norm: 2.7054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8290 loss: 2.8290 2022/08/14 16:25:19 - mmengine - INFO - Epoch(train) [110][600/3757] lr: 6.1553e-02 eta: 1 day, 19:25:50 time: 0.2879 data_time: 0.0203 memory: 6334 grad_norm: 2.7076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8057 loss: 2.8057 2022/08/14 16:25:48 - mmengine - INFO - Epoch(train) [110][700/3757] lr: 6.1553e-02 eta: 1 day, 19:25:22 time: 0.2846 data_time: 0.0183 memory: 6334 grad_norm: 2.7106 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0504 loss: 3.0504 2022/08/14 16:26:17 - mmengine - INFO - Epoch(train) [110][800/3757] lr: 6.1553e-02 eta: 1 day, 19:24:54 time: 0.2871 data_time: 0.0190 memory: 6334 grad_norm: 2.6099 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8845 loss: 2.8845 2022/08/14 16:26:46 - mmengine - INFO - Epoch(train) [110][900/3757] lr: 6.1553e-02 eta: 1 day, 19:24:27 time: 0.2909 data_time: 0.0215 memory: 6334 grad_norm: 2.6306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9212 loss: 2.9212 2022/08/14 16:27:15 - mmengine - INFO - Epoch(train) [110][1000/3757] lr: 6.1553e-02 eta: 1 day, 19:23:59 time: 0.2871 data_time: 0.0178 memory: 6334 grad_norm: 2.6865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7273 loss: 2.7273 2022/08/14 16:27:44 - mmengine - INFO - Epoch(train) [110][1100/3757] lr: 6.1553e-02 eta: 1 day, 19:23:31 time: 0.2858 data_time: 0.0186 memory: 6334 grad_norm: 2.6131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0588 loss: 3.0588 2022/08/14 16:28:12 - mmengine - INFO - Epoch(train) [110][1200/3757] lr: 6.1553e-02 eta: 1 day, 19:23:04 time: 0.2838 data_time: 0.0167 memory: 6334 grad_norm: 2.6281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0103 loss: 3.0103 2022/08/14 16:28:41 - mmengine - INFO - Epoch(train) [110][1300/3757] lr: 6.1553e-02 eta: 1 day, 19:22:36 time: 0.2927 data_time: 0.0193 memory: 6334 grad_norm: 2.6639 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9051 loss: 2.9051 2022/08/14 16:29:10 - mmengine - INFO - Epoch(train) [110][1400/3757] lr: 6.1553e-02 eta: 1 day, 19:22:08 time: 0.2862 data_time: 0.0189 memory: 6334 grad_norm: 2.7269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0074 loss: 3.0074 2022/08/14 16:29:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:29:39 - mmengine - INFO - Epoch(train) [110][1500/3757] lr: 6.1553e-02 eta: 1 day, 19:21:41 time: 0.2849 data_time: 0.0190 memory: 6334 grad_norm: 2.5685 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8611 loss: 2.8611 2022/08/14 16:30:08 - mmengine - INFO - Epoch(train) [110][1600/3757] lr: 6.1553e-02 eta: 1 day, 19:21:13 time: 0.2905 data_time: 0.0200 memory: 6334 grad_norm: 2.7344 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0998 loss: 3.0998 2022/08/14 16:30:37 - mmengine - INFO - Epoch(train) [110][1700/3757] lr: 6.1553e-02 eta: 1 day, 19:20:45 time: 0.2892 data_time: 0.0192 memory: 6334 grad_norm: 2.6532 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9875 loss: 2.9875 2022/08/14 16:31:06 - mmengine - INFO - Epoch(train) [110][1800/3757] lr: 6.1553e-02 eta: 1 day, 19:20:17 time: 0.2891 data_time: 0.0201 memory: 6334 grad_norm: 2.6931 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7295 loss: 2.7295 2022/08/14 16:31:35 - mmengine - INFO - Epoch(train) [110][1900/3757] lr: 6.1553e-02 eta: 1 day, 19:19:50 time: 0.2880 data_time: 0.0178 memory: 6334 grad_norm: 2.6242 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1034 loss: 3.1034 2022/08/14 16:32:04 - mmengine - INFO - Epoch(train) [110][2000/3757] lr: 6.1553e-02 eta: 1 day, 19:19:22 time: 0.2841 data_time: 0.0180 memory: 6334 grad_norm: 2.6029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6912 loss: 2.6912 2022/08/14 16:32:33 - mmengine - INFO - Epoch(train) [110][2100/3757] lr: 6.1553e-02 eta: 1 day, 19:18:54 time: 0.2849 data_time: 0.0176 memory: 6334 grad_norm: 2.6729 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.1813 loss: 3.1813 2022/08/14 16:33:02 - mmengine - INFO - Epoch(train) [110][2200/3757] lr: 6.1553e-02 eta: 1 day, 19:18:26 time: 0.2831 data_time: 0.0168 memory: 6334 grad_norm: 2.7181 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7966 loss: 2.7966 2022/08/14 16:33:31 - mmengine - INFO - Epoch(train) [110][2300/3757] lr: 6.1553e-02 eta: 1 day, 19:17:58 time: 0.2845 data_time: 0.0184 memory: 6334 grad_norm: 2.6910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8326 loss: 2.8326 2022/08/14 16:34:00 - mmengine - INFO - Epoch(train) [110][2400/3757] lr: 6.1553e-02 eta: 1 day, 19:17:31 time: 0.2892 data_time: 0.0179 memory: 6334 grad_norm: 2.7249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8825 loss: 2.8825 2022/08/14 16:34:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:34:28 - mmengine - INFO - Epoch(train) [110][2500/3757] lr: 6.1553e-02 eta: 1 day, 19:17:03 time: 0.2860 data_time: 0.0201 memory: 6334 grad_norm: 2.6034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6689 loss: 2.6689 2022/08/14 16:34:57 - mmengine - INFO - Epoch(train) [110][2600/3757] lr: 6.1553e-02 eta: 1 day, 19:16:35 time: 0.2879 data_time: 0.0193 memory: 6334 grad_norm: 2.6785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0041 loss: 3.0041 2022/08/14 16:35:26 - mmengine - INFO - Epoch(train) [110][2700/3757] lr: 6.1553e-02 eta: 1 day, 19:16:07 time: 0.2854 data_time: 0.0187 memory: 6334 grad_norm: 2.6373 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8866 loss: 2.8866 2022/08/14 16:35:55 - mmengine - INFO - Epoch(train) [110][2800/3757] lr: 6.1553e-02 eta: 1 day, 19:15:39 time: 0.2876 data_time: 0.0200 memory: 6334 grad_norm: 2.6777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9426 loss: 2.9426 2022/08/14 16:36:24 - mmengine - INFO - Epoch(train) [110][2900/3757] lr: 6.1553e-02 eta: 1 day, 19:15:11 time: 0.2857 data_time: 0.0185 memory: 6334 grad_norm: 2.6206 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4123 loss: 3.4123 2022/08/14 16:36:53 - mmengine - INFO - Epoch(train) [110][3000/3757] lr: 6.1553e-02 eta: 1 day, 19:14:43 time: 0.2857 data_time: 0.0180 memory: 6334 grad_norm: 2.6750 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9623 loss: 2.9623 2022/08/14 16:37:21 - mmengine - INFO - Epoch(train) [110][3100/3757] lr: 6.1553e-02 eta: 1 day, 19:14:15 time: 0.2844 data_time: 0.0185 memory: 6334 grad_norm: 2.6423 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1230 loss: 3.1230 2022/08/14 16:37:50 - mmengine - INFO - Epoch(train) [110][3200/3757] lr: 6.1553e-02 eta: 1 day, 19:13:48 time: 0.2867 data_time: 0.0174 memory: 6334 grad_norm: 2.6351 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8518 loss: 2.8518 2022/08/14 16:38:19 - mmengine - INFO - Epoch(train) [110][3300/3757] lr: 6.1553e-02 eta: 1 day, 19:13:20 time: 0.2903 data_time: 0.0197 memory: 6334 grad_norm: 2.6938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4725 loss: 2.4725 2022/08/14 16:38:48 - mmengine - INFO - Epoch(train) [110][3400/3757] lr: 6.1553e-02 eta: 1 day, 19:12:52 time: 0.2872 data_time: 0.0205 memory: 6334 grad_norm: 2.6287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1076 loss: 3.1076 2022/08/14 16:39:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:39:17 - mmengine - INFO - Epoch(train) [110][3500/3757] lr: 6.1553e-02 eta: 1 day, 19:12:24 time: 0.2863 data_time: 0.0180 memory: 6334 grad_norm: 2.6887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7683 loss: 2.7683 2022/08/14 16:39:46 - mmengine - INFO - Epoch(train) [110][3600/3757] lr: 6.1553e-02 eta: 1 day, 19:11:56 time: 0.2876 data_time: 0.0187 memory: 6334 grad_norm: 2.7224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7373 loss: 2.7373 2022/08/14 16:40:14 - mmengine - INFO - Epoch(train) [110][3700/3757] lr: 6.1553e-02 eta: 1 day, 19:11:28 time: 0.2860 data_time: 0.0175 memory: 6334 grad_norm: 2.7057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8631 loss: 2.8631 2022/08/14 16:40:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:40:30 - mmengine - INFO - Epoch(train) [110][3757/3757] lr: 6.1553e-02 eta: 1 day, 19:11:17 time: 0.2642 data_time: 0.0151 memory: 6334 grad_norm: 2.6434 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.1794 loss: 3.1794 2022/08/14 16:40:53 - mmengine - INFO - Epoch(val) [110][100/310] eta: 0:00:48 time: 0.2304 data_time: 0.1325 memory: 1152 2022/08/14 16:41:14 - mmengine - INFO - Epoch(val) [110][200/310] eta: 0:00:20 time: 0.1882 data_time: 0.0905 memory: 1152 2022/08/14 16:41:35 - mmengine - INFO - Epoch(val) [110][300/310] eta: 0:00:02 time: 0.2157 data_time: 0.1205 memory: 1152 2022/08/14 16:41:39 - mmengine - INFO - Epoch(val) [110][310/310] acc/top1: 0.4292 acc/top5: 0.7025 acc/mean1: 0.4292 2022/08/14 16:41:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/14 16:41:42 - mmengine - INFO - The best checkpoint with 0.4292 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/14 16:42:11 - mmengine - INFO - Epoch(train) [111][100/3757] lr: 6.0955e-02 eta: 1 day, 19:10:39 time: 0.2858 data_time: 0.0194 memory: 6334 grad_norm: 2.6013 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7167 loss: 2.7167 2022/08/14 16:42:40 - mmengine - INFO - Epoch(train) [111][200/3757] lr: 6.0955e-02 eta: 1 day, 19:10:11 time: 0.2877 data_time: 0.0191 memory: 6334 grad_norm: 2.6167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5983 loss: 2.5983 2022/08/14 16:43:09 - mmengine - INFO - Epoch(train) [111][300/3757] lr: 6.0955e-02 eta: 1 day, 19:09:44 time: 0.2867 data_time: 0.0175 memory: 6334 grad_norm: 2.6374 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0284 loss: 3.0284 2022/08/14 16:43:38 - mmengine - INFO - Epoch(train) [111][400/3757] lr: 6.0955e-02 eta: 1 day, 19:09:16 time: 0.2885 data_time: 0.0187 memory: 6334 grad_norm: 2.7253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8466 loss: 2.8466 2022/08/14 16:44:07 - mmengine - INFO - Epoch(train) [111][500/3757] lr: 6.0955e-02 eta: 1 day, 19:08:48 time: 0.2854 data_time: 0.0183 memory: 6334 grad_norm: 2.6919 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8157 loss: 2.8157 2022/08/14 16:44:36 - mmengine - INFO - Epoch(train) [111][600/3757] lr: 6.0955e-02 eta: 1 day, 19:08:21 time: 0.2870 data_time: 0.0196 memory: 6334 grad_norm: 2.7377 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6525 loss: 2.6525 2022/08/14 16:45:05 - mmengine - INFO - Epoch(train) [111][700/3757] lr: 6.0955e-02 eta: 1 day, 19:07:53 time: 0.2857 data_time: 0.0184 memory: 6334 grad_norm: 2.6803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8322 loss: 2.8322 2022/08/14 16:45:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:45:34 - mmengine - INFO - Epoch(train) [111][800/3757] lr: 6.0955e-02 eta: 1 day, 19:07:25 time: 0.2844 data_time: 0.0187 memory: 6334 grad_norm: 2.6936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0311 loss: 3.0311 2022/08/14 16:46:03 - mmengine - INFO - Epoch(train) [111][900/3757] lr: 6.0955e-02 eta: 1 day, 19:06:57 time: 0.2869 data_time: 0.0185 memory: 6334 grad_norm: 2.7040 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8022 loss: 2.8022 2022/08/14 16:46:32 - mmengine - INFO - Epoch(train) [111][1000/3757] lr: 6.0955e-02 eta: 1 day, 19:06:29 time: 0.2850 data_time: 0.0184 memory: 6334 grad_norm: 2.5479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6555 loss: 2.6555 2022/08/14 16:47:00 - mmengine - INFO - Epoch(train) [111][1100/3757] lr: 6.0955e-02 eta: 1 day, 19:06:01 time: 0.2869 data_time: 0.0217 memory: 6334 grad_norm: 2.6627 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5799 loss: 2.5799 2022/08/14 16:47:29 - mmengine - INFO - Epoch(train) [111][1200/3757] lr: 6.0955e-02 eta: 1 day, 19:05:34 time: 0.2884 data_time: 0.0176 memory: 6334 grad_norm: 2.7354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9354 loss: 2.9354 2022/08/14 16:47:58 - mmengine - INFO - Epoch(train) [111][1300/3757] lr: 6.0955e-02 eta: 1 day, 19:05:06 time: 0.2848 data_time: 0.0178 memory: 6334 grad_norm: 2.6375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6401 loss: 2.6401 2022/08/14 16:48:28 - mmengine - INFO - Epoch(train) [111][1400/3757] lr: 6.0955e-02 eta: 1 day, 19:04:39 time: 0.2923 data_time: 0.0196 memory: 6334 grad_norm: 2.7363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6808 loss: 2.6808 2022/08/14 16:48:56 - mmengine - INFO - Epoch(train) [111][1500/3757] lr: 6.0955e-02 eta: 1 day, 19:04:11 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.6475 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9332 loss: 2.9332 2022/08/14 16:49:25 - mmengine - INFO - Epoch(train) [111][1600/3757] lr: 6.0955e-02 eta: 1 day, 19:03:43 time: 0.2861 data_time: 0.0178 memory: 6334 grad_norm: 2.6681 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8166 loss: 2.8166 2022/08/14 16:49:54 - mmengine - INFO - Epoch(train) [111][1700/3757] lr: 6.0955e-02 eta: 1 day, 19:03:15 time: 0.2869 data_time: 0.0181 memory: 6334 grad_norm: 2.6222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7835 loss: 2.7835 2022/08/14 16:50:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:50:23 - mmengine - INFO - Epoch(train) [111][1800/3757] lr: 6.0955e-02 eta: 1 day, 19:02:47 time: 0.2849 data_time: 0.0177 memory: 6334 grad_norm: 2.6148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9426 loss: 2.9426 2022/08/14 16:50:52 - mmengine - INFO - Epoch(train) [111][1900/3757] lr: 6.0955e-02 eta: 1 day, 19:02:19 time: 0.2861 data_time: 0.0180 memory: 6334 grad_norm: 2.6188 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6924 loss: 2.6924 2022/08/14 16:51:21 - mmengine - INFO - Epoch(train) [111][2000/3757] lr: 6.0955e-02 eta: 1 day, 19:01:51 time: 0.2861 data_time: 0.0189 memory: 6334 grad_norm: 2.5827 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9853 loss: 2.9853 2022/08/14 16:51:50 - mmengine - INFO - Epoch(train) [111][2100/3757] lr: 6.0955e-02 eta: 1 day, 19:01:24 time: 0.2868 data_time: 0.0178 memory: 6334 grad_norm: 2.6312 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9426 loss: 2.9426 2022/08/14 16:52:18 - mmengine - INFO - Epoch(train) [111][2200/3757] lr: 6.0955e-02 eta: 1 day, 19:00:56 time: 0.2865 data_time: 0.0196 memory: 6334 grad_norm: 2.7051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9282 loss: 2.9282 2022/08/14 16:52:47 - mmengine - INFO - Epoch(train) [111][2300/3757] lr: 6.0955e-02 eta: 1 day, 19:00:28 time: 0.2903 data_time: 0.0193 memory: 6334 grad_norm: 2.7205 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9650 loss: 2.9650 2022/08/14 16:53:16 - mmengine - INFO - Epoch(train) [111][2400/3757] lr: 6.0955e-02 eta: 1 day, 19:00:00 time: 0.2849 data_time: 0.0183 memory: 6334 grad_norm: 2.6359 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0269 loss: 3.0269 2022/08/14 16:53:45 - mmengine - INFO - Epoch(train) [111][2500/3757] lr: 6.0955e-02 eta: 1 day, 18:59:33 time: 0.2847 data_time: 0.0186 memory: 6334 grad_norm: 2.6057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8583 loss: 2.8583 2022/08/14 16:54:14 - mmengine - INFO - Epoch(train) [111][2600/3757] lr: 6.0955e-02 eta: 1 day, 18:59:05 time: 0.2847 data_time: 0.0177 memory: 6334 grad_norm: 2.5738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7363 loss: 2.7363 2022/08/14 16:54:43 - mmengine - INFO - Epoch(train) [111][2700/3757] lr: 6.0955e-02 eta: 1 day, 18:58:37 time: 0.2862 data_time: 0.0203 memory: 6334 grad_norm: 2.6425 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.7001 loss: 2.7001 2022/08/14 16:54:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:55:12 - mmengine - INFO - Epoch(train) [111][2800/3757] lr: 6.0955e-02 eta: 1 day, 18:58:09 time: 0.2864 data_time: 0.0181 memory: 6334 grad_norm: 2.6953 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8458 loss: 2.8458 2022/08/14 16:55:40 - mmengine - INFO - Epoch(train) [111][2900/3757] lr: 6.0955e-02 eta: 1 day, 18:57:41 time: 0.2904 data_time: 0.0192 memory: 6334 grad_norm: 2.7019 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3524 loss: 3.3524 2022/08/14 16:56:09 - mmengine - INFO - Epoch(train) [111][3000/3757] lr: 6.0955e-02 eta: 1 day, 18:57:13 time: 0.2860 data_time: 0.0186 memory: 6334 grad_norm: 2.6911 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1819 loss: 3.1819 2022/08/14 16:56:38 - mmengine - INFO - Epoch(train) [111][3100/3757] lr: 6.0955e-02 eta: 1 day, 18:56:45 time: 0.2873 data_time: 0.0182 memory: 6334 grad_norm: 2.7026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7796 loss: 2.7796 2022/08/14 16:57:07 - mmengine - INFO - Epoch(train) [111][3200/3757] lr: 6.0955e-02 eta: 1 day, 18:56:18 time: 0.3001 data_time: 0.0182 memory: 6334 grad_norm: 2.6869 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1457 loss: 3.1457 2022/08/14 16:57:36 - mmengine - INFO - Epoch(train) [111][3300/3757] lr: 6.0955e-02 eta: 1 day, 18:55:50 time: 0.2837 data_time: 0.0180 memory: 6334 grad_norm: 2.6157 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7138 loss: 2.7138 2022/08/14 16:58:05 - mmengine - INFO - Epoch(train) [111][3400/3757] lr: 6.0955e-02 eta: 1 day, 18:55:22 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.6379 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0677 loss: 3.0677 2022/08/14 16:58:34 - mmengine - INFO - Epoch(train) [111][3500/3757] lr: 6.0955e-02 eta: 1 day, 18:54:54 time: 0.2860 data_time: 0.0181 memory: 6334 grad_norm: 2.6890 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7726 loss: 2.7726 2022/08/14 16:59:03 - mmengine - INFO - Epoch(train) [111][3600/3757] lr: 6.0955e-02 eta: 1 day, 18:54:26 time: 0.2835 data_time: 0.0179 memory: 6334 grad_norm: 2.6422 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7625 loss: 2.7625 2022/08/14 16:59:32 - mmengine - INFO - Epoch(train) [111][3700/3757] lr: 6.0955e-02 eta: 1 day, 18:53:58 time: 0.2851 data_time: 0.0186 memory: 6334 grad_norm: 2.6147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7701 loss: 2.7701 2022/08/14 16:59:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:59:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 16:59:48 - mmengine - INFO - Epoch(train) [111][3757/3757] lr: 6.0955e-02 eta: 1 day, 18:53:47 time: 0.2650 data_time: 0.0159 memory: 6334 grad_norm: 2.7164 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.1196 loss: 3.1196 2022/08/14 17:00:19 - mmengine - INFO - Epoch(train) [112][100/3757] lr: 6.0356e-02 eta: 1 day, 18:53:11 time: 0.2861 data_time: 0.0185 memory: 6334 grad_norm: 2.7513 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6688 loss: 2.6688 2022/08/14 17:00:48 - mmengine - INFO - Epoch(train) [112][200/3757] lr: 6.0356e-02 eta: 1 day, 18:52:43 time: 0.2873 data_time: 0.0186 memory: 6334 grad_norm: 2.5656 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5835 loss: 2.5835 2022/08/14 17:01:16 - mmengine - INFO - Epoch(train) [112][300/3757] lr: 6.0356e-02 eta: 1 day, 18:52:15 time: 0.2820 data_time: 0.0176 memory: 6334 grad_norm: 2.6204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9005 loss: 2.9005 2022/08/14 17:01:45 - mmengine - INFO - Epoch(train) [112][400/3757] lr: 6.0356e-02 eta: 1 day, 18:51:47 time: 0.2847 data_time: 0.0186 memory: 6334 grad_norm: 2.6593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9029 loss: 2.9029 2022/08/14 17:02:14 - mmengine - INFO - Epoch(train) [112][500/3757] lr: 6.0356e-02 eta: 1 day, 18:51:20 time: 0.2859 data_time: 0.0185 memory: 6334 grad_norm: 2.6700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9747 loss: 2.9747 2022/08/14 17:02:43 - mmengine - INFO - Epoch(train) [112][600/3757] lr: 6.0356e-02 eta: 1 day, 18:50:52 time: 0.2858 data_time: 0.0180 memory: 6334 grad_norm: 2.6822 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6484 loss: 2.6484 2022/08/14 17:03:12 - mmengine - INFO - Epoch(train) [112][700/3757] lr: 6.0356e-02 eta: 1 day, 18:50:24 time: 0.2918 data_time: 0.0167 memory: 6334 grad_norm: 2.6826 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1604 loss: 3.1604 2022/08/14 17:03:41 - mmengine - INFO - Epoch(train) [112][800/3757] lr: 6.0356e-02 eta: 1 day, 18:49:56 time: 0.2866 data_time: 0.0212 memory: 6334 grad_norm: 2.7374 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9937 loss: 2.9937 2022/08/14 17:04:10 - mmengine - INFO - Epoch(train) [112][900/3757] lr: 6.0356e-02 eta: 1 day, 18:49:28 time: 0.2869 data_time: 0.0184 memory: 6334 grad_norm: 2.7005 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8392 loss: 2.8392 2022/08/14 17:04:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:04:38 - mmengine - INFO - Epoch(train) [112][1000/3757] lr: 6.0356e-02 eta: 1 day, 18:49:00 time: 0.2883 data_time: 0.0193 memory: 6334 grad_norm: 2.6727 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.9557 loss: 2.9557 2022/08/14 17:05:07 - mmengine - INFO - Epoch(train) [112][1100/3757] lr: 6.0356e-02 eta: 1 day, 18:48:32 time: 0.2881 data_time: 0.0191 memory: 6334 grad_norm: 2.6859 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1674 loss: 3.1674 2022/08/14 17:05:36 - mmengine - INFO - Epoch(train) [112][1200/3757] lr: 6.0356e-02 eta: 1 day, 18:48:05 time: 0.2852 data_time: 0.0176 memory: 6334 grad_norm: 2.7091 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8820 loss: 2.8820 2022/08/14 17:06:05 - mmengine - INFO - Epoch(train) [112][1300/3757] lr: 6.0356e-02 eta: 1 day, 18:47:37 time: 0.2851 data_time: 0.0185 memory: 6334 grad_norm: 2.6970 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7854 loss: 2.7854 2022/08/14 17:06:34 - mmengine - INFO - Epoch(train) [112][1400/3757] lr: 6.0356e-02 eta: 1 day, 18:47:09 time: 0.2846 data_time: 0.0181 memory: 6334 grad_norm: 2.7167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9433 loss: 2.9433 2022/08/14 17:07:02 - mmengine - INFO - Epoch(train) [112][1500/3757] lr: 6.0356e-02 eta: 1 day, 18:46:41 time: 0.2870 data_time: 0.0197 memory: 6334 grad_norm: 2.6902 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1492 loss: 3.1492 2022/08/14 17:07:31 - mmengine - INFO - Epoch(train) [112][1600/3757] lr: 6.0356e-02 eta: 1 day, 18:46:13 time: 0.2858 data_time: 0.0179 memory: 6334 grad_norm: 2.7056 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1625 loss: 3.1625 2022/08/14 17:08:00 - mmengine - INFO - Epoch(train) [112][1700/3757] lr: 6.0356e-02 eta: 1 day, 18:45:45 time: 0.2871 data_time: 0.0183 memory: 6334 grad_norm: 2.6749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1173 loss: 3.1173 2022/08/14 17:08:30 - mmengine - INFO - Epoch(train) [112][1800/3757] lr: 6.0356e-02 eta: 1 day, 18:45:18 time: 0.3057 data_time: 0.0193 memory: 6334 grad_norm: 2.7351 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8065 loss: 2.8065 2022/08/14 17:08:59 - mmengine - INFO - Epoch(train) [112][1900/3757] lr: 6.0356e-02 eta: 1 day, 18:44:50 time: 0.2852 data_time: 0.0189 memory: 6334 grad_norm: 2.5899 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0855 loss: 3.0855 2022/08/14 17:09:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:09:28 - mmengine - INFO - Epoch(train) [112][2000/3757] lr: 6.0356e-02 eta: 1 day, 18:44:23 time: 0.2874 data_time: 0.0195 memory: 6334 grad_norm: 2.6428 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6837 loss: 2.6837 2022/08/14 17:09:57 - mmengine - INFO - Epoch(train) [112][2100/3757] lr: 6.0356e-02 eta: 1 day, 18:43:55 time: 0.2859 data_time: 0.0189 memory: 6334 grad_norm: 2.6470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8226 loss: 2.8226 2022/08/14 17:10:26 - mmengine - INFO - Epoch(train) [112][2200/3757] lr: 6.0356e-02 eta: 1 day, 18:43:27 time: 0.2849 data_time: 0.0189 memory: 6334 grad_norm: 2.7407 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0581 loss: 3.0581 2022/08/14 17:10:55 - mmengine - INFO - Epoch(train) [112][2300/3757] lr: 6.0356e-02 eta: 1 day, 18:42:59 time: 0.2865 data_time: 0.0180 memory: 6334 grad_norm: 2.5948 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1086 loss: 3.1086 2022/08/14 17:11:23 - mmengine - INFO - Epoch(train) [112][2400/3757] lr: 6.0356e-02 eta: 1 day, 18:42:31 time: 0.2857 data_time: 0.0197 memory: 6334 grad_norm: 2.6822 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8738 loss: 2.8738 2022/08/14 17:11:52 - mmengine - INFO - Epoch(train) [112][2500/3757] lr: 6.0356e-02 eta: 1 day, 18:42:04 time: 0.2892 data_time: 0.0193 memory: 6334 grad_norm: 2.6862 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0596 loss: 3.0596 2022/08/14 17:12:21 - mmengine - INFO - Epoch(train) [112][2600/3757] lr: 6.0356e-02 eta: 1 day, 18:41:36 time: 0.2848 data_time: 0.0189 memory: 6334 grad_norm: 2.5904 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4747 loss: 2.4747 2022/08/14 17:12:50 - mmengine - INFO - Epoch(train) [112][2700/3757] lr: 6.0356e-02 eta: 1 day, 18:41:08 time: 0.2913 data_time: 0.0211 memory: 6334 grad_norm: 2.6706 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1815 loss: 3.1815 2022/08/14 17:13:19 - mmengine - INFO - Epoch(train) [112][2800/3757] lr: 6.0356e-02 eta: 1 day, 18:40:40 time: 0.2866 data_time: 0.0209 memory: 6334 grad_norm: 2.7196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9064 loss: 2.9064 2022/08/14 17:13:48 - mmengine - INFO - Epoch(train) [112][2900/3757] lr: 6.0356e-02 eta: 1 day, 18:40:13 time: 0.2981 data_time: 0.0185 memory: 6334 grad_norm: 2.6644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9278 loss: 2.9278 2022/08/14 17:14:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:14:17 - mmengine - INFO - Epoch(train) [112][3000/3757] lr: 6.0356e-02 eta: 1 day, 18:39:45 time: 0.2847 data_time: 0.0187 memory: 6334 grad_norm: 2.6700 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8741 loss: 2.8741 2022/08/14 17:14:46 - mmengine - INFO - Epoch(train) [112][3100/3757] lr: 6.0356e-02 eta: 1 day, 18:39:17 time: 0.2847 data_time: 0.0188 memory: 6334 grad_norm: 2.6418 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6921 loss: 2.6921 2022/08/14 17:15:15 - mmengine - INFO - Epoch(train) [112][3200/3757] lr: 6.0356e-02 eta: 1 day, 18:38:49 time: 0.2858 data_time: 0.0189 memory: 6334 grad_norm: 2.7087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8856 loss: 2.8856 2022/08/14 17:15:44 - mmengine - INFO - Epoch(train) [112][3300/3757] lr: 6.0356e-02 eta: 1 day, 18:38:21 time: 0.2861 data_time: 0.0187 memory: 6334 grad_norm: 2.7065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9098 loss: 2.9098 2022/08/14 17:16:13 - mmengine - INFO - Epoch(train) [112][3400/3757] lr: 6.0356e-02 eta: 1 day, 18:37:54 time: 0.2920 data_time: 0.0183 memory: 6334 grad_norm: 2.6455 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8976 loss: 2.8976 2022/08/14 17:16:42 - mmengine - INFO - Epoch(train) [112][3500/3757] lr: 6.0356e-02 eta: 1 day, 18:37:26 time: 0.2870 data_time: 0.0187 memory: 6334 grad_norm: 2.7294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6743 loss: 2.6743 2022/08/14 17:17:11 - mmengine - INFO - Epoch(train) [112][3600/3757] lr: 6.0356e-02 eta: 1 day, 18:36:58 time: 0.2927 data_time: 0.0203 memory: 6334 grad_norm: 2.7707 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0046 loss: 3.0046 2022/08/14 17:17:39 - mmengine - INFO - Epoch(train) [112][3700/3757] lr: 6.0356e-02 eta: 1 day, 18:36:30 time: 0.2849 data_time: 0.0180 memory: 6334 grad_norm: 2.6598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8160 loss: 2.8160 2022/08/14 17:17:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:17:56 - mmengine - INFO - Epoch(train) [112][3757/3757] lr: 6.0356e-02 eta: 1 day, 18:36:20 time: 0.2655 data_time: 0.0155 memory: 6334 grad_norm: 2.7595 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0446 loss: 3.0446 2022/08/14 17:17:56 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/14 17:18:31 - mmengine - INFO - Epoch(train) [113][100/3757] lr: 5.9755e-02 eta: 1 day, 18:35:42 time: 0.2901 data_time: 0.0190 memory: 6334 grad_norm: 2.6198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6515 loss: 2.6515 2022/08/14 17:19:00 - mmengine - INFO - Epoch(train) [113][200/3757] lr: 5.9755e-02 eta: 1 day, 18:35:14 time: 0.2864 data_time: 0.0187 memory: 6334 grad_norm: 2.6887 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6979 loss: 2.6979 2022/08/14 17:19:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:19:29 - mmengine - INFO - Epoch(train) [113][300/3757] lr: 5.9755e-02 eta: 1 day, 18:34:46 time: 0.2885 data_time: 0.0192 memory: 6334 grad_norm: 2.6708 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5761 loss: 2.5761 2022/08/14 17:19:58 - mmengine - INFO - Epoch(train) [113][400/3757] lr: 5.9755e-02 eta: 1 day, 18:34:18 time: 0.2872 data_time: 0.0201 memory: 6334 grad_norm: 2.6673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8466 loss: 2.8466 2022/08/14 17:20:27 - mmengine - INFO - Epoch(train) [113][500/3757] lr: 5.9755e-02 eta: 1 day, 18:33:51 time: 0.2881 data_time: 0.0174 memory: 6334 grad_norm: 2.6973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6961 loss: 2.6961 2022/08/14 17:20:56 - mmengine - INFO - Epoch(train) [113][600/3757] lr: 5.9755e-02 eta: 1 day, 18:33:23 time: 0.2868 data_time: 0.0193 memory: 6334 grad_norm: 2.6456 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9430 loss: 2.9430 2022/08/14 17:21:25 - mmengine - INFO - Epoch(train) [113][700/3757] lr: 5.9755e-02 eta: 1 day, 18:32:55 time: 0.2872 data_time: 0.0212 memory: 6334 grad_norm: 2.6468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9148 loss: 2.9148 2022/08/14 17:21:54 - mmengine - INFO - Epoch(train) [113][800/3757] lr: 5.9755e-02 eta: 1 day, 18:32:27 time: 0.2860 data_time: 0.0182 memory: 6334 grad_norm: 2.8007 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7227 loss: 2.7227 2022/08/14 17:22:23 - mmengine - INFO - Epoch(train) [113][900/3757] lr: 5.9755e-02 eta: 1 day, 18:31:59 time: 0.2865 data_time: 0.0180 memory: 6334 grad_norm: 2.7474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8259 loss: 2.8259 2022/08/14 17:22:51 - mmengine - INFO - Epoch(train) [113][1000/3757] lr: 5.9755e-02 eta: 1 day, 18:31:31 time: 0.2865 data_time: 0.0190 memory: 6334 grad_norm: 2.6553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7676 loss: 2.7676 2022/08/14 17:23:20 - mmengine - INFO - Epoch(train) [113][1100/3757] lr: 5.9755e-02 eta: 1 day, 18:31:04 time: 0.2874 data_time: 0.0194 memory: 6334 grad_norm: 2.6538 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8598 loss: 2.8598 2022/08/14 17:23:49 - mmengine - INFO - Epoch(train) [113][1200/3757] lr: 5.9755e-02 eta: 1 day, 18:30:36 time: 0.2860 data_time: 0.0191 memory: 6334 grad_norm: 2.6759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7454 loss: 2.7454 2022/08/14 17:23:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:24:18 - mmengine - INFO - Epoch(train) [113][1300/3757] lr: 5.9755e-02 eta: 1 day, 18:30:08 time: 0.2831 data_time: 0.0173 memory: 6334 grad_norm: 2.6525 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6926 loss: 2.6926 2022/08/14 17:24:47 - mmengine - INFO - Epoch(train) [113][1400/3757] lr: 5.9755e-02 eta: 1 day, 18:29:40 time: 0.2855 data_time: 0.0185 memory: 6334 grad_norm: 2.6801 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9579 loss: 2.9579 2022/08/14 17:25:16 - mmengine - INFO - Epoch(train) [113][1500/3757] lr: 5.9755e-02 eta: 1 day, 18:29:12 time: 0.2845 data_time: 0.0181 memory: 6334 grad_norm: 2.7546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8945 loss: 2.8945 2022/08/14 17:25:45 - mmengine - INFO - Epoch(train) [113][1600/3757] lr: 5.9755e-02 eta: 1 day, 18:28:44 time: 0.2865 data_time: 0.0195 memory: 6334 grad_norm: 2.6973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3223 loss: 3.3223 2022/08/14 17:26:14 - mmengine - INFO - Epoch(train) [113][1700/3757] lr: 5.9755e-02 eta: 1 day, 18:28:16 time: 0.2878 data_time: 0.0178 memory: 6334 grad_norm: 2.6885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7002 loss: 2.7002 2022/08/14 17:26:42 - mmengine - INFO - Epoch(train) [113][1800/3757] lr: 5.9755e-02 eta: 1 day, 18:27:48 time: 0.2854 data_time: 0.0191 memory: 6334 grad_norm: 2.7530 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9167 loss: 2.9167 2022/08/14 17:27:11 - mmengine - INFO - Epoch(train) [113][1900/3757] lr: 5.9755e-02 eta: 1 day, 18:27:21 time: 0.2951 data_time: 0.0199 memory: 6334 grad_norm: 2.6423 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0949 loss: 3.0949 2022/08/14 17:27:40 - mmengine - INFO - Epoch(train) [113][2000/3757] lr: 5.9755e-02 eta: 1 day, 18:26:53 time: 0.2847 data_time: 0.0182 memory: 6334 grad_norm: 2.6548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6858 loss: 2.6858 2022/08/14 17:28:09 - mmengine - INFO - Epoch(train) [113][2100/3757] lr: 5.9755e-02 eta: 1 day, 18:26:25 time: 0.2867 data_time: 0.0182 memory: 6334 grad_norm: 2.6822 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0373 loss: 3.0373 2022/08/14 17:28:38 - mmengine - INFO - Epoch(train) [113][2200/3757] lr: 5.9755e-02 eta: 1 day, 18:25:57 time: 0.2880 data_time: 0.0186 memory: 6334 grad_norm: 2.7110 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9786 loss: 2.9786 2022/08/14 17:28:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:29:07 - mmengine - INFO - Epoch(train) [113][2300/3757] lr: 5.9755e-02 eta: 1 day, 18:25:29 time: 0.2862 data_time: 0.0190 memory: 6334 grad_norm: 2.7822 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8817 loss: 2.8817 2022/08/14 17:29:36 - mmengine - INFO - Epoch(train) [113][2400/3757] lr: 5.9755e-02 eta: 1 day, 18:25:02 time: 0.2870 data_time: 0.0203 memory: 6334 grad_norm: 2.6071 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2320 loss: 3.2320 2022/08/14 17:30:05 - mmengine - INFO - Epoch(train) [113][2500/3757] lr: 5.9755e-02 eta: 1 day, 18:24:34 time: 0.2868 data_time: 0.0178 memory: 6334 grad_norm: 2.5704 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7496 loss: 2.7496 2022/08/14 17:30:34 - mmengine - INFO - Epoch(train) [113][2600/3757] lr: 5.9755e-02 eta: 1 day, 18:24:06 time: 0.2941 data_time: 0.0194 memory: 6334 grad_norm: 2.6820 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6670 loss: 2.6670 2022/08/14 17:31:03 - mmengine - INFO - Epoch(train) [113][2700/3757] lr: 5.9755e-02 eta: 1 day, 18:23:38 time: 0.2850 data_time: 0.0177 memory: 6334 grad_norm: 2.6948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9550 loss: 2.9550 2022/08/14 17:31:32 - mmengine - INFO - Epoch(train) [113][2800/3757] lr: 5.9755e-02 eta: 1 day, 18:23:11 time: 0.2894 data_time: 0.0199 memory: 6334 grad_norm: 2.6906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8783 loss: 2.8783 2022/08/14 17:32:00 - mmengine - INFO - Epoch(train) [113][2900/3757] lr: 5.9755e-02 eta: 1 day, 18:22:43 time: 0.2865 data_time: 0.0177 memory: 6334 grad_norm: 2.5633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6743 loss: 2.6743 2022/08/14 17:32:29 - mmengine - INFO - Epoch(train) [113][3000/3757] lr: 5.9755e-02 eta: 1 day, 18:22:15 time: 0.2863 data_time: 0.0193 memory: 6334 grad_norm: 2.6733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8208 loss: 2.8208 2022/08/14 17:32:58 - mmengine - INFO - Epoch(train) [113][3100/3757] lr: 5.9755e-02 eta: 1 day, 18:21:47 time: 0.2855 data_time: 0.0186 memory: 6334 grad_norm: 2.6880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6967 loss: 2.6967 2022/08/14 17:33:27 - mmengine - INFO - Epoch(train) [113][3200/3757] lr: 5.9755e-02 eta: 1 day, 18:21:19 time: 0.2846 data_time: 0.0187 memory: 6334 grad_norm: 2.5991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7913 loss: 2.7913 2022/08/14 17:33:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:33:56 - mmengine - INFO - Epoch(train) [113][3300/3757] lr: 5.9755e-02 eta: 1 day, 18:20:51 time: 0.2870 data_time: 0.0194 memory: 6334 grad_norm: 2.7455 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6675 loss: 2.6675 2022/08/14 17:34:25 - mmengine - INFO - Epoch(train) [113][3400/3757] lr: 5.9755e-02 eta: 1 day, 18:20:23 time: 0.2858 data_time: 0.0182 memory: 6334 grad_norm: 2.6129 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7147 loss: 2.7147 2022/08/14 17:34:54 - mmengine - INFO - Epoch(train) [113][3500/3757] lr: 5.9755e-02 eta: 1 day, 18:19:56 time: 0.2881 data_time: 0.0197 memory: 6334 grad_norm: 2.7361 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8492 loss: 2.8492 2022/08/14 17:35:23 - mmengine - INFO - Epoch(train) [113][3600/3757] lr: 5.9755e-02 eta: 1 day, 18:19:28 time: 0.2860 data_time: 0.0173 memory: 6334 grad_norm: 2.6426 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8638 loss: 2.8638 2022/08/14 17:35:52 - mmengine - INFO - Epoch(train) [113][3700/3757] lr: 5.9755e-02 eta: 1 day, 18:19:00 time: 0.2874 data_time: 0.0192 memory: 6334 grad_norm: 2.6837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0588 loss: 3.0588 2022/08/14 17:36:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:36:08 - mmengine - INFO - Epoch(train) [113][3757/3757] lr: 5.9755e-02 eta: 1 day, 18:18:49 time: 0.2646 data_time: 0.0152 memory: 6334 grad_norm: 2.6768 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8542 loss: 2.8542 2022/08/14 17:36:39 - mmengine - INFO - Epoch(train) [114][100/3757] lr: 5.9152e-02 eta: 1 day, 18:18:13 time: 0.2860 data_time: 0.0189 memory: 6334 grad_norm: 2.7647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6499 loss: 2.6499 2022/08/14 17:37:08 - mmengine - INFO - Epoch(train) [114][200/3757] lr: 5.9152e-02 eta: 1 day, 18:17:45 time: 0.2848 data_time: 0.0195 memory: 6334 grad_norm: 2.6370 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5995 loss: 2.5995 2022/08/14 17:37:37 - mmengine - INFO - Epoch(train) [114][300/3757] lr: 5.9152e-02 eta: 1 day, 18:17:17 time: 0.2854 data_time: 0.0187 memory: 6334 grad_norm: 2.6353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8307 loss: 2.8307 2022/08/14 17:38:06 - mmengine - INFO - Epoch(train) [114][400/3757] lr: 5.9152e-02 eta: 1 day, 18:16:50 time: 0.2872 data_time: 0.0180 memory: 6334 grad_norm: 2.6282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8852 loss: 2.8852 2022/08/14 17:38:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:38:35 - mmengine - INFO - Epoch(train) [114][500/3757] lr: 5.9152e-02 eta: 1 day, 18:16:22 time: 0.2875 data_time: 0.0205 memory: 6334 grad_norm: 2.7175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9246 loss: 2.9246 2022/08/14 17:39:04 - mmengine - INFO - Epoch(train) [114][600/3757] lr: 5.9152e-02 eta: 1 day, 18:15:54 time: 0.2875 data_time: 0.0178 memory: 6334 grad_norm: 2.6845 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8180 loss: 2.8180 2022/08/14 17:39:33 - mmengine - INFO - Epoch(train) [114][700/3757] lr: 5.9152e-02 eta: 1 day, 18:15:26 time: 0.2875 data_time: 0.0187 memory: 6334 grad_norm: 2.7487 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9994 loss: 2.9994 2022/08/14 17:40:02 - mmengine - INFO - Epoch(train) [114][800/3757] lr: 5.9152e-02 eta: 1 day, 18:14:58 time: 0.2859 data_time: 0.0187 memory: 6334 grad_norm: 2.6167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5953 loss: 2.5953 2022/08/14 17:40:30 - mmengine - INFO - Epoch(train) [114][900/3757] lr: 5.9152e-02 eta: 1 day, 18:14:31 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.7164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7159 loss: 2.7159 2022/08/14 17:40:59 - mmengine - INFO - Epoch(train) [114][1000/3757] lr: 5.9152e-02 eta: 1 day, 18:14:03 time: 0.2855 data_time: 0.0186 memory: 6334 grad_norm: 2.7684 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7799 loss: 2.7799 2022/08/14 17:41:28 - mmengine - INFO - Epoch(train) [114][1100/3757] lr: 5.9152e-02 eta: 1 day, 18:13:35 time: 0.2853 data_time: 0.0176 memory: 6334 grad_norm: 2.6806 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7523 loss: 2.7523 2022/08/14 17:41:57 - mmengine - INFO - Epoch(train) [114][1200/3757] lr: 5.9152e-02 eta: 1 day, 18:13:07 time: 0.2868 data_time: 0.0195 memory: 6334 grad_norm: 2.6840 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6475 loss: 2.6475 2022/08/14 17:42:26 - mmengine - INFO - Epoch(train) [114][1300/3757] lr: 5.9152e-02 eta: 1 day, 18:12:39 time: 0.2876 data_time: 0.0186 memory: 6334 grad_norm: 2.6643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0162 loss: 3.0162 2022/08/14 17:42:55 - mmengine - INFO - Epoch(train) [114][1400/3757] lr: 5.9152e-02 eta: 1 day, 18:12:11 time: 0.2885 data_time: 0.0188 memory: 6334 grad_norm: 2.7533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9402 loss: 2.9402 2022/08/14 17:43:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:43:24 - mmengine - INFO - Epoch(train) [114][1500/3757] lr: 5.9152e-02 eta: 1 day, 18:11:44 time: 0.2862 data_time: 0.0191 memory: 6334 grad_norm: 2.7163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8773 loss: 2.8773 2022/08/14 17:43:53 - mmengine - INFO - Epoch(train) [114][1600/3757] lr: 5.9152e-02 eta: 1 day, 18:11:16 time: 0.2890 data_time: 0.0191 memory: 6334 grad_norm: 2.7168 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0802 loss: 3.0802 2022/08/14 17:44:21 - mmengine - INFO - Epoch(train) [114][1700/3757] lr: 5.9152e-02 eta: 1 day, 18:10:48 time: 0.2852 data_time: 0.0185 memory: 6334 grad_norm: 2.6389 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0931 loss: 3.0931 2022/08/14 17:44:50 - mmengine - INFO - Epoch(train) [114][1800/3757] lr: 5.9152e-02 eta: 1 day, 18:10:20 time: 0.2851 data_time: 0.0190 memory: 6334 grad_norm: 2.6779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7399 loss: 2.7399 2022/08/14 17:45:19 - mmengine - INFO - Epoch(train) [114][1900/3757] lr: 5.9152e-02 eta: 1 day, 18:09:52 time: 0.2866 data_time: 0.0199 memory: 6334 grad_norm: 2.6811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6995 loss: 2.6995 2022/08/14 17:45:48 - mmengine - INFO - Epoch(train) [114][2000/3757] lr: 5.9152e-02 eta: 1 day, 18:09:25 time: 0.2867 data_time: 0.0197 memory: 6334 grad_norm: 2.6779 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1351 loss: 3.1351 2022/08/14 17:46:17 - mmengine - INFO - Epoch(train) [114][2100/3757] lr: 5.9152e-02 eta: 1 day, 18:08:57 time: 0.2861 data_time: 0.0174 memory: 6334 grad_norm: 2.6737 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0098 loss: 3.0098 2022/08/14 17:46:46 - mmengine - INFO - Epoch(train) [114][2200/3757] lr: 5.9152e-02 eta: 1 day, 18:08:29 time: 0.2886 data_time: 0.0184 memory: 6334 grad_norm: 2.6251 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6485 loss: 2.6485 2022/08/14 17:47:15 - mmengine - INFO - Epoch(train) [114][2300/3757] lr: 5.9152e-02 eta: 1 day, 18:08:01 time: 0.2848 data_time: 0.0184 memory: 6334 grad_norm: 2.7603 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8326 loss: 2.8326 2022/08/14 17:47:44 - mmengine - INFO - Epoch(train) [114][2400/3757] lr: 5.9152e-02 eta: 1 day, 18:07:33 time: 0.2873 data_time: 0.0177 memory: 6334 grad_norm: 2.7509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8869 loss: 2.8869 2022/08/14 17:48:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:48:13 - mmengine - INFO - Epoch(train) [114][2500/3757] lr: 5.9152e-02 eta: 1 day, 18:07:05 time: 0.2854 data_time: 0.0191 memory: 6334 grad_norm: 2.6698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8038 loss: 2.8038 2022/08/14 17:48:42 - mmengine - INFO - Epoch(train) [114][2600/3757] lr: 5.9152e-02 eta: 1 day, 18:06:38 time: 0.2883 data_time: 0.0188 memory: 6334 grad_norm: 2.6191 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9866 loss: 2.9866 2022/08/14 17:49:11 - mmengine - INFO - Epoch(train) [114][2700/3757] lr: 5.9152e-02 eta: 1 day, 18:06:10 time: 0.2870 data_time: 0.0191 memory: 6334 grad_norm: 2.6769 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6595 loss: 2.6595 2022/08/14 17:49:40 - mmengine - INFO - Epoch(train) [114][2800/3757] lr: 5.9152e-02 eta: 1 day, 18:05:42 time: 0.2856 data_time: 0.0190 memory: 6334 grad_norm: 2.7110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6016 loss: 2.6016 2022/08/14 17:50:09 - mmengine - INFO - Epoch(train) [114][2900/3757] lr: 5.9152e-02 eta: 1 day, 18:05:15 time: 0.2844 data_time: 0.0184 memory: 6334 grad_norm: 2.7219 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1130 loss: 3.1130 2022/08/14 17:50:38 - mmengine - INFO - Epoch(train) [114][3000/3757] lr: 5.9152e-02 eta: 1 day, 18:04:47 time: 0.2857 data_time: 0.0179 memory: 6334 grad_norm: 2.7435 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1172 loss: 3.1172 2022/08/14 17:51:07 - mmengine - INFO - Epoch(train) [114][3100/3757] lr: 5.9152e-02 eta: 1 day, 18:04:19 time: 0.2916 data_time: 0.0189 memory: 6334 grad_norm: 2.6910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7793 loss: 2.7793 2022/08/14 17:51:36 - mmengine - INFO - Epoch(train) [114][3200/3757] lr: 5.9152e-02 eta: 1 day, 18:03:51 time: 0.2924 data_time: 0.0192 memory: 6334 grad_norm: 2.7230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6814 loss: 2.6814 2022/08/14 17:52:05 - mmengine - INFO - Epoch(train) [114][3300/3757] lr: 5.9152e-02 eta: 1 day, 18:03:24 time: 0.2908 data_time: 0.0202 memory: 6334 grad_norm: 2.6582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9295 loss: 2.9295 2022/08/14 17:52:34 - mmengine - INFO - Epoch(train) [114][3400/3757] lr: 5.9152e-02 eta: 1 day, 18:02:56 time: 0.2876 data_time: 0.0179 memory: 6334 grad_norm: 2.7405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0050 loss: 3.0050 2022/08/14 17:52:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:53:03 - mmengine - INFO - Epoch(train) [114][3500/3757] lr: 5.9152e-02 eta: 1 day, 18:02:28 time: 0.2882 data_time: 0.0197 memory: 6334 grad_norm: 2.6622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7887 loss: 2.7887 2022/08/14 17:53:32 - mmengine - INFO - Epoch(train) [114][3600/3757] lr: 5.9152e-02 eta: 1 day, 18:02:01 time: 0.2891 data_time: 0.0199 memory: 6334 grad_norm: 2.7138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7579 loss: 2.7579 2022/08/14 17:54:01 - mmengine - INFO - Epoch(train) [114][3700/3757] lr: 5.9152e-02 eta: 1 day, 18:01:33 time: 0.2860 data_time: 0.0180 memory: 6334 grad_norm: 2.7737 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8914 loss: 2.8914 2022/08/14 17:54:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:54:17 - mmengine - INFO - Epoch(train) [114][3757/3757] lr: 5.9152e-02 eta: 1 day, 18:01:22 time: 0.2661 data_time: 0.0164 memory: 6334 grad_norm: 2.7755 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.1102 loss: 3.1102 2022/08/14 17:54:48 - mmengine - INFO - Epoch(train) [115][100/3757] lr: 5.8548e-02 eta: 1 day, 18:00:46 time: 0.2866 data_time: 0.0187 memory: 6334 grad_norm: 2.7903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8001 loss: 2.8001 2022/08/14 17:55:17 - mmengine - INFO - Epoch(train) [115][200/3757] lr: 5.8548e-02 eta: 1 day, 18:00:18 time: 0.2888 data_time: 0.0174 memory: 6334 grad_norm: 2.6914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9386 loss: 2.9386 2022/08/14 17:55:46 - mmengine - INFO - Epoch(train) [115][300/3757] lr: 5.8548e-02 eta: 1 day, 17:59:50 time: 0.2870 data_time: 0.0183 memory: 6334 grad_norm: 2.7360 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9832 loss: 2.9832 2022/08/14 17:56:15 - mmengine - INFO - Epoch(train) [115][400/3757] lr: 5.8548e-02 eta: 1 day, 17:59:22 time: 0.2856 data_time: 0.0186 memory: 6334 grad_norm: 2.7989 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7625 loss: 2.7625 2022/08/14 17:56:44 - mmengine - INFO - Epoch(train) [115][500/3757] lr: 5.8548e-02 eta: 1 day, 17:58:54 time: 0.2888 data_time: 0.0200 memory: 6334 grad_norm: 2.7193 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0046 loss: 3.0046 2022/08/14 17:57:13 - mmengine - INFO - Epoch(train) [115][600/3757] lr: 5.8548e-02 eta: 1 day, 17:58:27 time: 0.2883 data_time: 0.0186 memory: 6334 grad_norm: 2.7587 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7219 loss: 2.7219 2022/08/14 17:57:42 - mmengine - INFO - Epoch(train) [115][700/3757] lr: 5.8548e-02 eta: 1 day, 17:57:59 time: 0.2861 data_time: 0.0170 memory: 6334 grad_norm: 2.7064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9116 loss: 2.9116 2022/08/14 17:57:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 17:58:11 - mmengine - INFO - Epoch(train) [115][800/3757] lr: 5.8548e-02 eta: 1 day, 17:57:31 time: 0.2850 data_time: 0.0191 memory: 6334 grad_norm: 2.7311 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7455 loss: 2.7455 2022/08/14 17:58:40 - mmengine - INFO - Epoch(train) [115][900/3757] lr: 5.8548e-02 eta: 1 day, 17:57:03 time: 0.2851 data_time: 0.0183 memory: 6334 grad_norm: 2.7398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8515 loss: 2.8515 2022/08/14 17:59:09 - mmengine - INFO - Epoch(train) [115][1000/3757] lr: 5.8548e-02 eta: 1 day, 17:56:35 time: 0.2881 data_time: 0.0197 memory: 6334 grad_norm: 2.6626 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6860 loss: 2.6860 2022/08/14 17:59:37 - mmengine - INFO - Epoch(train) [115][1100/3757] lr: 5.8548e-02 eta: 1 day, 17:56:07 time: 0.2876 data_time: 0.0194 memory: 6334 grad_norm: 2.7216 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8858 loss: 2.8858 2022/08/14 18:00:11 - mmengine - INFO - Epoch(train) [115][1200/3757] lr: 5.8548e-02 eta: 1 day, 17:55:45 time: 0.5182 data_time: 0.0178 memory: 6334 grad_norm: 2.7612 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6811 loss: 2.6811 2022/08/14 18:00:40 - mmengine - INFO - Epoch(train) [115][1300/3757] lr: 5.8548e-02 eta: 1 day, 17:55:17 time: 0.2861 data_time: 0.0190 memory: 6334 grad_norm: 2.6416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8752 loss: 2.8752 2022/08/14 18:01:09 - mmengine - INFO - Epoch(train) [115][1400/3757] lr: 5.8548e-02 eta: 1 day, 17:54:50 time: 0.2862 data_time: 0.0182 memory: 6334 grad_norm: 2.6695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9426 loss: 2.9426 2022/08/14 18:01:38 - mmengine - INFO - Epoch(train) [115][1500/3757] lr: 5.8548e-02 eta: 1 day, 17:54:22 time: 0.2891 data_time: 0.0183 memory: 6334 grad_norm: 2.6539 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8926 loss: 2.8926 2022/08/14 18:02:07 - mmengine - INFO - Epoch(train) [115][1600/3757] lr: 5.8548e-02 eta: 1 day, 17:53:54 time: 0.2873 data_time: 0.0196 memory: 6334 grad_norm: 2.6660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7907 loss: 2.7907 2022/08/14 18:02:36 - mmengine - INFO - Epoch(train) [115][1700/3757] lr: 5.8548e-02 eta: 1 day, 17:53:26 time: 0.2889 data_time: 0.0198 memory: 6334 grad_norm: 2.7303 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7852 loss: 2.7852 2022/08/14 18:02:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:03:05 - mmengine - INFO - Epoch(train) [115][1800/3757] lr: 5.8548e-02 eta: 1 day, 17:52:58 time: 0.2873 data_time: 0.0218 memory: 6334 grad_norm: 2.7361 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8994 loss: 2.8994 2022/08/14 18:03:33 - mmengine - INFO - Epoch(train) [115][1900/3757] lr: 5.8548e-02 eta: 1 day, 17:52:30 time: 0.2868 data_time: 0.0181 memory: 6334 grad_norm: 2.7825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5717 loss: 2.5717 2022/08/14 18:04:02 - mmengine - INFO - Epoch(train) [115][2000/3757] lr: 5.8548e-02 eta: 1 day, 17:52:03 time: 0.2874 data_time: 0.0196 memory: 6334 grad_norm: 2.7053 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7335 loss: 2.7335 2022/08/14 18:04:31 - mmengine - INFO - Epoch(train) [115][2100/3757] lr: 5.8548e-02 eta: 1 day, 17:51:35 time: 0.2863 data_time: 0.0181 memory: 6334 grad_norm: 2.7129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6709 loss: 2.6709 2022/08/14 18:05:00 - mmengine - INFO - Epoch(train) [115][2200/3757] lr: 5.8548e-02 eta: 1 day, 17:51:07 time: 0.2858 data_time: 0.0189 memory: 6334 grad_norm: 2.6815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0799 loss: 3.0799 2022/08/14 18:05:29 - mmengine - INFO - Epoch(train) [115][2300/3757] lr: 5.8548e-02 eta: 1 day, 17:50:39 time: 0.2861 data_time: 0.0187 memory: 6334 grad_norm: 2.7106 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8492 loss: 2.8492 2022/08/14 18:05:58 - mmengine - INFO - Epoch(train) [115][2400/3757] lr: 5.8548e-02 eta: 1 day, 17:50:11 time: 0.2872 data_time: 0.0194 memory: 6334 grad_norm: 2.7114 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5983 loss: 2.5983 2022/08/14 18:06:27 - mmengine - INFO - Epoch(train) [115][2500/3757] lr: 5.8548e-02 eta: 1 day, 17:49:43 time: 0.2844 data_time: 0.0170 memory: 6334 grad_norm: 2.7392 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8825 loss: 2.8825 2022/08/14 18:06:55 - mmengine - INFO - Epoch(train) [115][2600/3757] lr: 5.8548e-02 eta: 1 day, 17:49:15 time: 0.2861 data_time: 0.0175 memory: 6334 grad_norm: 2.7775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7808 loss: 2.7808 2022/08/14 18:07:24 - mmengine - INFO - Epoch(train) [115][2700/3757] lr: 5.8548e-02 eta: 1 day, 17:48:47 time: 0.2848 data_time: 0.0188 memory: 6334 grad_norm: 2.6993 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8815 loss: 2.8815 2022/08/14 18:07:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:07:53 - mmengine - INFO - Epoch(train) [115][2800/3757] lr: 5.8548e-02 eta: 1 day, 17:48:19 time: 0.2866 data_time: 0.0184 memory: 6334 grad_norm: 2.7473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6327 loss: 2.6327 2022/08/14 18:08:22 - mmengine - INFO - Epoch(train) [115][2900/3757] lr: 5.8548e-02 eta: 1 day, 17:47:51 time: 0.2844 data_time: 0.0182 memory: 6334 grad_norm: 2.7205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8956 loss: 2.8956 2022/08/14 18:08:51 - mmengine - INFO - Epoch(train) [115][3000/3757] lr: 5.8548e-02 eta: 1 day, 17:47:23 time: 0.2849 data_time: 0.0168 memory: 6334 grad_norm: 2.6906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9720 loss: 2.9720 2022/08/14 18:09:20 - mmengine - INFO - Epoch(train) [115][3100/3757] lr: 5.8548e-02 eta: 1 day, 17:46:55 time: 0.2848 data_time: 0.0175 memory: 6334 grad_norm: 2.7664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8626 loss: 2.8626 2022/08/14 18:09:49 - mmengine - INFO - Epoch(train) [115][3200/3757] lr: 5.8548e-02 eta: 1 day, 17:46:28 time: 0.2888 data_time: 0.0199 memory: 6334 grad_norm: 2.6416 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8241 loss: 2.8241 2022/08/14 18:10:18 - mmengine - INFO - Epoch(train) [115][3300/3757] lr: 5.8548e-02 eta: 1 day, 17:46:00 time: 0.2902 data_time: 0.0192 memory: 6334 grad_norm: 2.6707 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1489 loss: 3.1489 2022/08/14 18:10:47 - mmengine - INFO - Epoch(train) [115][3400/3757] lr: 5.8548e-02 eta: 1 day, 17:45:32 time: 0.2881 data_time: 0.0205 memory: 6334 grad_norm: 2.6136 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7563 loss: 2.7563 2022/08/14 18:11:15 - mmengine - INFO - Epoch(train) [115][3500/3757] lr: 5.8548e-02 eta: 1 day, 17:45:04 time: 0.2867 data_time: 0.0188 memory: 6334 grad_norm: 2.7641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5861 loss: 2.5861 2022/08/14 18:11:44 - mmengine - INFO - Epoch(train) [115][3600/3757] lr: 5.8548e-02 eta: 1 day, 17:44:36 time: 0.2860 data_time: 0.0204 memory: 6334 grad_norm: 2.7533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9398 loss: 2.9398 2022/08/14 18:12:13 - mmengine - INFO - Epoch(train) [115][3700/3757] lr: 5.8548e-02 eta: 1 day, 17:44:08 time: 0.2858 data_time: 0.0188 memory: 6334 grad_norm: 2.7124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6654 loss: 2.6654 2022/08/14 18:12:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:12:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:12:29 - mmengine - INFO - Epoch(train) [115][3757/3757] lr: 5.8548e-02 eta: 1 day, 17:43:57 time: 0.2646 data_time: 0.0160 memory: 6334 grad_norm: 2.7291 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0991 loss: 3.0991 2022/08/14 18:12:51 - mmengine - INFO - Epoch(val) [115][100/310] eta: 0:00:46 time: 0.2201 data_time: 0.1219 memory: 1152 2022/08/14 18:13:13 - mmengine - INFO - Epoch(val) [115][200/310] eta: 0:00:22 time: 0.2021 data_time: 0.1063 memory: 1152 2022/08/14 18:13:33 - mmengine - INFO - Epoch(val) [115][300/310] eta: 0:00:02 time: 0.2071 data_time: 0.1126 memory: 1152 2022/08/14 18:13:37 - mmengine - INFO - Epoch(val) [115][310/310] acc/top1: 0.4300 acc/top5: 0.7040 acc/mean1: 0.4299 2022/08/14 18:13:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_111.pth is removed 2022/08/14 18:13:40 - mmengine - INFO - The best checkpoint with 0.4300 acc/top1 at 116 epoch is saved to best_acc/top1_epoch_116.pth. 2022/08/14 18:14:10 - mmengine - INFO - Epoch(train) [116][100/3757] lr: 5.7943e-02 eta: 1 day, 17:43:20 time: 0.2877 data_time: 0.0188 memory: 6334 grad_norm: 2.6808 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7541 loss: 2.7541 2022/08/14 18:14:39 - mmengine - INFO - Epoch(train) [116][200/3757] lr: 5.7943e-02 eta: 1 day, 17:42:52 time: 0.2865 data_time: 0.0191 memory: 6334 grad_norm: 2.6948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0643 loss: 3.0643 2022/08/14 18:15:07 - mmengine - INFO - Epoch(train) [116][300/3757] lr: 5.7943e-02 eta: 1 day, 17:42:24 time: 0.2895 data_time: 0.0189 memory: 6334 grad_norm: 2.8032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0433 loss: 3.0433 2022/08/14 18:15:36 - mmengine - INFO - Epoch(train) [116][400/3757] lr: 5.7943e-02 eta: 1 day, 17:41:56 time: 0.2916 data_time: 0.0197 memory: 6334 grad_norm: 2.7765 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9238 loss: 2.9238 2022/08/14 18:16:05 - mmengine - INFO - Epoch(train) [116][500/3757] lr: 5.7943e-02 eta: 1 day, 17:41:28 time: 0.2881 data_time: 0.0194 memory: 6334 grad_norm: 2.7762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7921 loss: 2.7921 2022/08/14 18:16:34 - mmengine - INFO - Epoch(train) [116][600/3757] lr: 5.7943e-02 eta: 1 day, 17:41:00 time: 0.2864 data_time: 0.0189 memory: 6334 grad_norm: 2.7222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0685 loss: 3.0685 2022/08/14 18:17:03 - mmengine - INFO - Epoch(train) [116][700/3757] lr: 5.7943e-02 eta: 1 day, 17:40:32 time: 0.2870 data_time: 0.0181 memory: 6334 grad_norm: 2.8035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8690 loss: 2.8690 2022/08/14 18:17:32 - mmengine - INFO - Epoch(train) [116][800/3757] lr: 5.7943e-02 eta: 1 day, 17:40:05 time: 0.2877 data_time: 0.0199 memory: 6334 grad_norm: 2.6908 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6822 loss: 2.6822 2022/08/14 18:18:01 - mmengine - INFO - Epoch(train) [116][900/3757] lr: 5.7943e-02 eta: 1 day, 17:39:37 time: 0.2862 data_time: 0.0192 memory: 6334 grad_norm: 2.6693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8831 loss: 2.8831 2022/08/14 18:18:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:18:30 - mmengine - INFO - Epoch(train) [116][1000/3757] lr: 5.7943e-02 eta: 1 day, 17:39:09 time: 0.2865 data_time: 0.0184 memory: 6334 grad_norm: 2.6899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0061 loss: 3.0061 2022/08/14 18:18:59 - mmengine - INFO - Epoch(train) [116][1100/3757] lr: 5.7943e-02 eta: 1 day, 17:38:41 time: 0.2892 data_time: 0.0182 memory: 6334 grad_norm: 2.6934 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8181 loss: 2.8181 2022/08/14 18:19:28 - mmengine - INFO - Epoch(train) [116][1200/3757] lr: 5.7943e-02 eta: 1 day, 17:38:13 time: 0.2877 data_time: 0.0191 memory: 6334 grad_norm: 2.7540 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9426 loss: 2.9426 2022/08/14 18:19:57 - mmengine - INFO - Epoch(train) [116][1300/3757] lr: 5.7943e-02 eta: 1 day, 17:37:45 time: 0.2892 data_time: 0.0196 memory: 6334 grad_norm: 2.6763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8347 loss: 2.8347 2022/08/14 18:20:26 - mmengine - INFO - Epoch(train) [116][1400/3757] lr: 5.7943e-02 eta: 1 day, 17:37:17 time: 0.2883 data_time: 0.0192 memory: 6334 grad_norm: 2.7733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6063 loss: 2.6063 2022/08/14 18:20:55 - mmengine - INFO - Epoch(train) [116][1500/3757] lr: 5.7943e-02 eta: 1 day, 17:36:50 time: 0.2915 data_time: 0.0169 memory: 6334 grad_norm: 2.7004 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9385 loss: 2.9385 2022/08/14 18:21:23 - mmengine - INFO - Epoch(train) [116][1600/3757] lr: 5.7943e-02 eta: 1 day, 17:36:22 time: 0.2872 data_time: 0.0182 memory: 6334 grad_norm: 2.7662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7861 loss: 2.7861 2022/08/14 18:21:52 - mmengine - INFO - Epoch(train) [116][1700/3757] lr: 5.7943e-02 eta: 1 day, 17:35:54 time: 0.2855 data_time: 0.0184 memory: 6334 grad_norm: 2.7661 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6731 loss: 2.6731 2022/08/14 18:22:21 - mmengine - INFO - Epoch(train) [116][1800/3757] lr: 5.7943e-02 eta: 1 day, 17:35:26 time: 0.2872 data_time: 0.0187 memory: 6334 grad_norm: 2.7720 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9535 loss: 2.9535 2022/08/14 18:22:50 - mmengine - INFO - Epoch(train) [116][1900/3757] lr: 5.7943e-02 eta: 1 day, 17:34:58 time: 0.2894 data_time: 0.0192 memory: 6334 grad_norm: 2.7738 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9045 loss: 2.9045 2022/08/14 18:23:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:23:19 - mmengine - INFO - Epoch(train) [116][2000/3757] lr: 5.7943e-02 eta: 1 day, 17:34:30 time: 0.2863 data_time: 0.0181 memory: 6334 grad_norm: 2.6471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0039 loss: 3.0039 2022/08/14 18:23:48 - mmengine - INFO - Epoch(train) [116][2100/3757] lr: 5.7943e-02 eta: 1 day, 17:34:02 time: 0.2845 data_time: 0.0160 memory: 6334 grad_norm: 2.7224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8785 loss: 2.8785 2022/08/14 18:24:17 - mmengine - INFO - Epoch(train) [116][2200/3757] lr: 5.7943e-02 eta: 1 day, 17:33:34 time: 0.2867 data_time: 0.0206 memory: 6334 grad_norm: 2.8115 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9317 loss: 2.9317 2022/08/14 18:24:46 - mmengine - INFO - Epoch(train) [116][2300/3757] lr: 5.7943e-02 eta: 1 day, 17:33:06 time: 0.2853 data_time: 0.0178 memory: 6334 grad_norm: 2.7896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8734 loss: 2.8734 2022/08/14 18:25:15 - mmengine - INFO - Epoch(train) [116][2400/3757] lr: 5.7943e-02 eta: 1 day, 17:32:39 time: 0.2871 data_time: 0.0197 memory: 6334 grad_norm: 2.7059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8251 loss: 2.8251 2022/08/14 18:25:43 - mmengine - INFO - Epoch(train) [116][2500/3757] lr: 5.7943e-02 eta: 1 day, 17:32:11 time: 0.2854 data_time: 0.0191 memory: 6334 grad_norm: 2.6563 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8359 loss: 2.8359 2022/08/14 18:26:12 - mmengine - INFO - Epoch(train) [116][2600/3757] lr: 5.7943e-02 eta: 1 day, 17:31:43 time: 0.2864 data_time: 0.0183 memory: 6334 grad_norm: 2.6903 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9662 loss: 2.9662 2022/08/14 18:26:41 - mmengine - INFO - Epoch(train) [116][2700/3757] lr: 5.7943e-02 eta: 1 day, 17:31:15 time: 0.2904 data_time: 0.0204 memory: 6334 grad_norm: 2.6816 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9211 loss: 2.9211 2022/08/14 18:27:10 - mmengine - INFO - Epoch(train) [116][2800/3757] lr: 5.7943e-02 eta: 1 day, 17:30:47 time: 0.2859 data_time: 0.0180 memory: 6334 grad_norm: 2.6918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9902 loss: 2.9902 2022/08/14 18:27:39 - mmengine - INFO - Epoch(train) [116][2900/3757] lr: 5.7943e-02 eta: 1 day, 17:30:19 time: 0.2887 data_time: 0.0197 memory: 6334 grad_norm: 2.6770 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0524 loss: 3.0524 2022/08/14 18:27:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:28:08 - mmengine - INFO - Epoch(train) [116][3000/3757] lr: 5.7943e-02 eta: 1 day, 17:29:51 time: 0.2867 data_time: 0.0187 memory: 6334 grad_norm: 2.6522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0928 loss: 3.0928 2022/08/14 18:28:37 - mmengine - INFO - Epoch(train) [116][3100/3757] lr: 5.7943e-02 eta: 1 day, 17:29:23 time: 0.2860 data_time: 0.0185 memory: 6334 grad_norm: 2.6954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8000 loss: 2.8000 2022/08/14 18:29:06 - mmengine - INFO - Epoch(train) [116][3200/3757] lr: 5.7943e-02 eta: 1 day, 17:28:55 time: 0.2895 data_time: 0.0199 memory: 6334 grad_norm: 2.6250 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8489 loss: 2.8489 2022/08/14 18:29:34 - mmengine - INFO - Epoch(train) [116][3300/3757] lr: 5.7943e-02 eta: 1 day, 17:28:27 time: 0.2870 data_time: 0.0184 memory: 6334 grad_norm: 2.7332 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8546 loss: 2.8546 2022/08/14 18:30:03 - mmengine - INFO - Epoch(train) [116][3400/3757] lr: 5.7943e-02 eta: 1 day, 17:27:59 time: 0.2893 data_time: 0.0182 memory: 6334 grad_norm: 2.7216 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1559 loss: 3.1559 2022/08/14 18:30:32 - mmengine - INFO - Epoch(train) [116][3500/3757] lr: 5.7943e-02 eta: 1 day, 17:27:32 time: 0.2861 data_time: 0.0182 memory: 6334 grad_norm: 2.7634 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8877 loss: 2.8877 2022/08/14 18:31:01 - mmengine - INFO - Epoch(train) [116][3600/3757] lr: 5.7943e-02 eta: 1 day, 17:27:04 time: 0.2866 data_time: 0.0196 memory: 6334 grad_norm: 2.6513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8275 loss: 2.8275 2022/08/14 18:31:30 - mmengine - INFO - Epoch(train) [116][3700/3757] lr: 5.7943e-02 eta: 1 day, 17:26:36 time: 0.2863 data_time: 0.0191 memory: 6334 grad_norm: 2.7735 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9071 loss: 2.9071 2022/08/14 18:31:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:31:46 - mmengine - INFO - Epoch(train) [116][3757/3757] lr: 5.7943e-02 eta: 1 day, 17:26:25 time: 0.2657 data_time: 0.0162 memory: 6334 grad_norm: 2.7575 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.0217 loss: 3.0217 2022/08/14 18:31:46 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/14 18:32:20 - mmengine - INFO - Epoch(train) [117][100/3757] lr: 5.7337e-02 eta: 1 day, 17:25:47 time: 0.2878 data_time: 0.0185 memory: 6334 grad_norm: 2.7041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8958 loss: 2.8958 2022/08/14 18:32:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:32:49 - mmengine - INFO - Epoch(train) [117][200/3757] lr: 5.7337e-02 eta: 1 day, 17:25:19 time: 0.2866 data_time: 0.0187 memory: 6334 grad_norm: 2.7814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9719 loss: 2.9719 2022/08/14 18:33:18 - mmengine - INFO - Epoch(train) [117][300/3757] lr: 5.7337e-02 eta: 1 day, 17:24:52 time: 0.2903 data_time: 0.0227 memory: 6334 grad_norm: 2.7264 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0389 loss: 3.0389 2022/08/14 18:33:47 - mmengine - INFO - Epoch(train) [117][400/3757] lr: 5.7337e-02 eta: 1 day, 17:24:24 time: 0.2855 data_time: 0.0191 memory: 6334 grad_norm: 2.6834 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0101 loss: 3.0101 2022/08/14 18:34:16 - mmengine - INFO - Epoch(train) [117][500/3757] lr: 5.7337e-02 eta: 1 day, 17:23:56 time: 0.2842 data_time: 0.0178 memory: 6334 grad_norm: 2.7588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7823 loss: 2.7823 2022/08/14 18:34:45 - mmengine - INFO - Epoch(train) [117][600/3757] lr: 5.7337e-02 eta: 1 day, 17:23:28 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.6899 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9512 loss: 2.9512 2022/08/14 18:35:14 - mmengine - INFO - Epoch(train) [117][700/3757] lr: 5.7337e-02 eta: 1 day, 17:23:00 time: 0.2873 data_time: 0.0181 memory: 6334 grad_norm: 2.7601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7488 loss: 2.7488 2022/08/14 18:35:42 - mmengine - INFO - Epoch(train) [117][800/3757] lr: 5.7337e-02 eta: 1 day, 17:22:32 time: 0.2848 data_time: 0.0180 memory: 6334 grad_norm: 2.6695 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8527 loss: 2.8527 2022/08/14 18:36:12 - mmengine - INFO - Epoch(train) [117][900/3757] lr: 5.7337e-02 eta: 1 day, 17:22:04 time: 0.2873 data_time: 0.0171 memory: 6334 grad_norm: 2.7054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8249 loss: 2.8249 2022/08/14 18:36:41 - mmengine - INFO - Epoch(train) [117][1000/3757] lr: 5.7337e-02 eta: 1 day, 17:21:37 time: 0.2874 data_time: 0.0193 memory: 6334 grad_norm: 2.7066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8909 loss: 2.8909 2022/08/14 18:37:09 - mmengine - INFO - Epoch(train) [117][1100/3757] lr: 5.7337e-02 eta: 1 day, 17:21:09 time: 0.2858 data_time: 0.0185 memory: 6334 grad_norm: 2.8201 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7915 loss: 2.7915 2022/08/14 18:37:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:37:38 - mmengine - INFO - Epoch(train) [117][1200/3757] lr: 5.7337e-02 eta: 1 day, 17:20:41 time: 0.2888 data_time: 0.0199 memory: 6334 grad_norm: 2.6792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4810 loss: 2.4810 2022/08/14 18:38:07 - mmengine - INFO - Epoch(train) [117][1300/3757] lr: 5.7337e-02 eta: 1 day, 17:20:13 time: 0.2875 data_time: 0.0190 memory: 6334 grad_norm: 2.7699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6844 loss: 2.6844 2022/08/14 18:38:36 - mmengine - INFO - Epoch(train) [117][1400/3757] lr: 5.7337e-02 eta: 1 day, 17:19:45 time: 0.2865 data_time: 0.0180 memory: 6334 grad_norm: 2.6990 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8770 loss: 2.8770 2022/08/14 18:39:06 - mmengine - INFO - Epoch(train) [117][1500/3757] lr: 5.7337e-02 eta: 1 day, 17:19:18 time: 0.2861 data_time: 0.0185 memory: 6334 grad_norm: 2.6473 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9097 loss: 2.9097 2022/08/14 18:39:34 - mmengine - INFO - Epoch(train) [117][1600/3757] lr: 5.7337e-02 eta: 1 day, 17:18:50 time: 0.2874 data_time: 0.0193 memory: 6334 grad_norm: 2.6509 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0504 loss: 3.0504 2022/08/14 18:40:03 - mmengine - INFO - Epoch(train) [117][1700/3757] lr: 5.7337e-02 eta: 1 day, 17:18:22 time: 0.2880 data_time: 0.0185 memory: 6334 grad_norm: 2.7309 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8724 loss: 2.8724 2022/08/14 18:40:32 - mmengine - INFO - Epoch(train) [117][1800/3757] lr: 5.7337e-02 eta: 1 day, 17:17:54 time: 0.2841 data_time: 0.0186 memory: 6334 grad_norm: 2.6757 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1020 loss: 3.1020 2022/08/14 18:41:01 - mmengine - INFO - Epoch(train) [117][1900/3757] lr: 5.7337e-02 eta: 1 day, 17:17:26 time: 0.2864 data_time: 0.0198 memory: 6334 grad_norm: 2.7712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9598 loss: 2.9598 2022/08/14 18:41:30 - mmengine - INFO - Epoch(train) [117][2000/3757] lr: 5.7337e-02 eta: 1 day, 17:16:58 time: 0.2857 data_time: 0.0188 memory: 6334 grad_norm: 2.7248 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9025 loss: 2.9025 2022/08/14 18:41:59 - mmengine - INFO - Epoch(train) [117][2100/3757] lr: 5.7337e-02 eta: 1 day, 17:16:31 time: 0.2992 data_time: 0.0187 memory: 6334 grad_norm: 2.6903 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7954 loss: 2.7954 2022/08/14 18:42:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:42:28 - mmengine - INFO - Epoch(train) [117][2200/3757] lr: 5.7337e-02 eta: 1 day, 17:16:03 time: 0.2865 data_time: 0.0208 memory: 6334 grad_norm: 2.7244 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7622 loss: 2.7622 2022/08/14 18:42:57 - mmengine - INFO - Epoch(train) [117][2300/3757] lr: 5.7337e-02 eta: 1 day, 17:15:35 time: 0.2953 data_time: 0.0198 memory: 6334 grad_norm: 2.6917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7766 loss: 2.7766 2022/08/14 18:43:27 - mmengine - INFO - Epoch(train) [117][2400/3757] lr: 5.7337e-02 eta: 1 day, 17:15:08 time: 0.2866 data_time: 0.0193 memory: 6334 grad_norm: 2.7215 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1007 loss: 3.1007 2022/08/14 18:43:56 - mmengine - INFO - Epoch(train) [117][2500/3757] lr: 5.7337e-02 eta: 1 day, 17:14:40 time: 0.2887 data_time: 0.0196 memory: 6334 grad_norm: 2.6263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2606 loss: 3.2606 2022/08/14 18:44:25 - mmengine - INFO - Epoch(train) [117][2600/3757] lr: 5.7337e-02 eta: 1 day, 17:14:13 time: 0.2875 data_time: 0.0180 memory: 6334 grad_norm: 2.6515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5656 loss: 2.5656 2022/08/14 18:44:54 - mmengine - INFO - Epoch(train) [117][2700/3757] lr: 5.7337e-02 eta: 1 day, 17:13:45 time: 0.2869 data_time: 0.0187 memory: 6334 grad_norm: 2.7923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9071 loss: 2.9071 2022/08/14 18:45:23 - mmengine - INFO - Epoch(train) [117][2800/3757] lr: 5.7337e-02 eta: 1 day, 17:13:17 time: 0.2890 data_time: 0.0187 memory: 6334 grad_norm: 2.6713 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6942 loss: 2.6942 2022/08/14 18:45:52 - mmengine - INFO - Epoch(train) [117][2900/3757] lr: 5.7337e-02 eta: 1 day, 17:12:49 time: 0.2854 data_time: 0.0181 memory: 6334 grad_norm: 2.6986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7871 loss: 2.7871 2022/08/14 18:46:21 - mmengine - INFO - Epoch(train) [117][3000/3757] lr: 5.7337e-02 eta: 1 day, 17:12:21 time: 0.2882 data_time: 0.0198 memory: 6334 grad_norm: 2.7191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8366 loss: 2.8366 2022/08/14 18:46:50 - mmengine - INFO - Epoch(train) [117][3100/3757] lr: 5.7337e-02 eta: 1 day, 17:11:53 time: 0.2860 data_time: 0.0179 memory: 6334 grad_norm: 2.7398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5747 loss: 2.5747 2022/08/14 18:47:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:47:18 - mmengine - INFO - Epoch(train) [117][3200/3757] lr: 5.7337e-02 eta: 1 day, 17:11:26 time: 0.2871 data_time: 0.0194 memory: 6334 grad_norm: 2.7327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8382 loss: 2.8382 2022/08/14 18:47:47 - mmengine - INFO - Epoch(train) [117][3300/3757] lr: 5.7337e-02 eta: 1 day, 17:10:58 time: 0.2882 data_time: 0.0191 memory: 6334 grad_norm: 2.6833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7599 loss: 2.7599 2022/08/14 18:48:16 - mmengine - INFO - Epoch(train) [117][3400/3757] lr: 5.7337e-02 eta: 1 day, 17:10:30 time: 0.2863 data_time: 0.0192 memory: 6334 grad_norm: 2.7730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7479 loss: 2.7479 2022/08/14 18:48:45 - mmengine - INFO - Epoch(train) [117][3500/3757] lr: 5.7337e-02 eta: 1 day, 17:10:02 time: 0.2867 data_time: 0.0181 memory: 6334 grad_norm: 2.6826 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4901 loss: 2.4901 2022/08/14 18:49:14 - mmengine - INFO - Epoch(train) [117][3600/3757] lr: 5.7337e-02 eta: 1 day, 17:09:34 time: 0.2884 data_time: 0.0185 memory: 6334 grad_norm: 2.7873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5693 loss: 2.5693 2022/08/14 18:49:43 - mmengine - INFO - Epoch(train) [117][3700/3757] lr: 5.7337e-02 eta: 1 day, 17:09:06 time: 0.2883 data_time: 0.0215 memory: 6334 grad_norm: 2.8000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8499 loss: 2.8499 2022/08/14 18:49:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:49:59 - mmengine - INFO - Epoch(train) [117][3757/3757] lr: 5.7337e-02 eta: 1 day, 17:08:55 time: 0.2694 data_time: 0.0171 memory: 6334 grad_norm: 2.7026 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.7569 loss: 2.7569 2022/08/14 18:50:31 - mmengine - INFO - Epoch(train) [118][100/3757] lr: 5.6729e-02 eta: 1 day, 17:08:19 time: 0.2857 data_time: 0.0181 memory: 6334 grad_norm: 2.6997 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8185 loss: 2.8185 2022/08/14 18:50:59 - mmengine - INFO - Epoch(train) [118][200/3757] lr: 5.6729e-02 eta: 1 day, 17:07:52 time: 0.2909 data_time: 0.0187 memory: 6334 grad_norm: 2.7009 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0553 loss: 3.0553 2022/08/14 18:51:28 - mmengine - INFO - Epoch(train) [118][300/3757] lr: 5.6729e-02 eta: 1 day, 17:07:24 time: 0.2871 data_time: 0.0183 memory: 6334 grad_norm: 2.7407 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6950 loss: 2.6950 2022/08/14 18:51:57 - mmengine - INFO - Epoch(train) [118][400/3757] lr: 5.6729e-02 eta: 1 day, 17:06:56 time: 0.2867 data_time: 0.0197 memory: 6334 grad_norm: 2.7007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8327 loss: 2.8327 2022/08/14 18:52:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:52:26 - mmengine - INFO - Epoch(train) [118][500/3757] lr: 5.6729e-02 eta: 1 day, 17:06:28 time: 0.2852 data_time: 0.0181 memory: 6334 grad_norm: 2.8726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9532 loss: 2.9532 2022/08/14 18:52:55 - mmengine - INFO - Epoch(train) [118][600/3757] lr: 5.6729e-02 eta: 1 day, 17:06:00 time: 0.2844 data_time: 0.0170 memory: 6334 grad_norm: 2.7928 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6838 loss: 2.6838 2022/08/14 18:53:24 - mmengine - INFO - Epoch(train) [118][700/3757] lr: 5.6729e-02 eta: 1 day, 17:05:32 time: 0.2866 data_time: 0.0191 memory: 6334 grad_norm: 2.7263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7210 loss: 2.7210 2022/08/14 18:53:53 - mmengine - INFO - Epoch(train) [118][800/3757] lr: 5.6729e-02 eta: 1 day, 17:05:04 time: 0.2892 data_time: 0.0194 memory: 6334 grad_norm: 2.7594 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0225 loss: 3.0225 2022/08/14 18:54:22 - mmengine - INFO - Epoch(train) [118][900/3757] lr: 5.6729e-02 eta: 1 day, 17:04:36 time: 0.2855 data_time: 0.0188 memory: 6334 grad_norm: 2.7459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4969 loss: 2.4969 2022/08/14 18:54:51 - mmengine - INFO - Epoch(train) [118][1000/3757] lr: 5.6729e-02 eta: 1 day, 17:04:09 time: 0.2871 data_time: 0.0189 memory: 6334 grad_norm: 2.7313 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9193 loss: 2.9193 2022/08/14 18:55:20 - mmengine - INFO - Epoch(train) [118][1100/3757] lr: 5.6729e-02 eta: 1 day, 17:03:41 time: 0.2866 data_time: 0.0180 memory: 6334 grad_norm: 2.6641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6851 loss: 2.6851 2022/08/14 18:55:49 - mmengine - INFO - Epoch(train) [118][1200/3757] lr: 5.6729e-02 eta: 1 day, 17:03:13 time: 0.2892 data_time: 0.0177 memory: 6334 grad_norm: 2.8248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6222 loss: 2.6222 2022/08/14 18:56:18 - mmengine - INFO - Epoch(train) [118][1300/3757] lr: 5.6729e-02 eta: 1 day, 17:02:45 time: 0.2869 data_time: 0.0188 memory: 6334 grad_norm: 2.7982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1606 loss: 3.1606 2022/08/14 18:56:47 - mmengine - INFO - Epoch(train) [118][1400/3757] lr: 5.6729e-02 eta: 1 day, 17:02:17 time: 0.2874 data_time: 0.0193 memory: 6334 grad_norm: 2.6953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2671 loss: 3.2671 2022/08/14 18:56:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 18:57:15 - mmengine - INFO - Epoch(train) [118][1500/3757] lr: 5.6729e-02 eta: 1 day, 17:01:49 time: 0.2860 data_time: 0.0184 memory: 6334 grad_norm: 2.7776 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0170 loss: 3.0170 2022/08/14 18:57:44 - mmengine - INFO - Epoch(train) [118][1600/3757] lr: 5.6729e-02 eta: 1 day, 17:01:21 time: 0.2865 data_time: 0.0185 memory: 6334 grad_norm: 2.7313 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6816 loss: 2.6816 2022/08/14 18:58:13 - mmengine - INFO - Epoch(train) [118][1700/3757] lr: 5.6729e-02 eta: 1 day, 17:00:54 time: 0.2856 data_time: 0.0185 memory: 6334 grad_norm: 2.7132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7451 loss: 2.7451 2022/08/14 18:58:42 - mmengine - INFO - Epoch(train) [118][1800/3757] lr: 5.6729e-02 eta: 1 day, 17:00:26 time: 0.2888 data_time: 0.0192 memory: 6334 grad_norm: 2.7823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7859 loss: 2.7859 2022/08/14 18:59:11 - mmengine - INFO - Epoch(train) [118][1900/3757] lr: 5.6729e-02 eta: 1 day, 16:59:58 time: 0.2890 data_time: 0.0193 memory: 6334 grad_norm: 2.7767 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7986 loss: 2.7986 2022/08/14 18:59:41 - mmengine - INFO - Epoch(train) [118][2000/3757] lr: 5.6729e-02 eta: 1 day, 16:59:30 time: 0.2875 data_time: 0.0179 memory: 6334 grad_norm: 2.7978 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9343 loss: 2.9343 2022/08/14 19:00:09 - mmengine - INFO - Epoch(train) [118][2100/3757] lr: 5.6729e-02 eta: 1 day, 16:59:02 time: 0.2885 data_time: 0.0193 memory: 6334 grad_norm: 2.8168 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6724 loss: 2.6724 2022/08/14 19:00:38 - mmengine - INFO - Epoch(train) [118][2200/3757] lr: 5.6729e-02 eta: 1 day, 16:58:35 time: 0.2864 data_time: 0.0189 memory: 6334 grad_norm: 2.7203 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7446 loss: 2.7446 2022/08/14 19:01:07 - mmengine - INFO - Epoch(train) [118][2300/3757] lr: 5.6729e-02 eta: 1 day, 16:58:07 time: 0.2843 data_time: 0.0183 memory: 6334 grad_norm: 2.6999 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7456 loss: 2.7456 2022/08/14 19:01:36 - mmengine - INFO - Epoch(train) [118][2400/3757] lr: 5.6729e-02 eta: 1 day, 16:57:39 time: 0.2867 data_time: 0.0184 memory: 6334 grad_norm: 2.7437 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6858 loss: 2.6858 2022/08/14 19:01:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:02:05 - mmengine - INFO - Epoch(train) [118][2500/3757] lr: 5.6729e-02 eta: 1 day, 16:57:11 time: 0.2879 data_time: 0.0210 memory: 6334 grad_norm: 2.7196 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0776 loss: 3.0776 2022/08/14 19:02:34 - mmengine - INFO - Epoch(train) [118][2600/3757] lr: 5.6729e-02 eta: 1 day, 16:56:43 time: 0.2875 data_time: 0.0203 memory: 6334 grad_norm: 2.5960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0512 loss: 3.0512 2022/08/14 19:03:03 - mmengine - INFO - Epoch(train) [118][2700/3757] lr: 5.6729e-02 eta: 1 day, 16:56:15 time: 0.2880 data_time: 0.0188 memory: 6334 grad_norm: 2.7423 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9845 loss: 2.9845 2022/08/14 19:03:32 - mmengine - INFO - Epoch(train) [118][2800/3757] lr: 5.6729e-02 eta: 1 day, 16:55:47 time: 0.2895 data_time: 0.0204 memory: 6334 grad_norm: 2.8337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8358 loss: 2.8358 2022/08/14 19:04:01 - mmengine - INFO - Epoch(train) [118][2900/3757] lr: 5.6729e-02 eta: 1 day, 16:55:19 time: 0.2859 data_time: 0.0192 memory: 6334 grad_norm: 2.8096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6169 loss: 2.6169 2022/08/14 19:04:30 - mmengine - INFO - Epoch(train) [118][3000/3757] lr: 5.6729e-02 eta: 1 day, 16:54:52 time: 0.2864 data_time: 0.0202 memory: 6334 grad_norm: 2.7590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0570 loss: 3.0570 2022/08/14 19:04:59 - mmengine - INFO - Epoch(train) [118][3100/3757] lr: 5.6729e-02 eta: 1 day, 16:54:24 time: 0.2844 data_time: 0.0186 memory: 6334 grad_norm: 2.7099 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0493 loss: 3.0493 2022/08/14 19:05:27 - mmengine - INFO - Epoch(train) [118][3200/3757] lr: 5.6729e-02 eta: 1 day, 16:53:56 time: 0.2861 data_time: 0.0191 memory: 6334 grad_norm: 2.7195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8441 loss: 2.8441 2022/08/14 19:05:56 - mmengine - INFO - Epoch(train) [118][3300/3757] lr: 5.6729e-02 eta: 1 day, 16:53:28 time: 0.2863 data_time: 0.0191 memory: 6334 grad_norm: 2.6624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0406 loss: 3.0406 2022/08/14 19:06:25 - mmengine - INFO - Epoch(train) [118][3400/3757] lr: 5.6729e-02 eta: 1 day, 16:53:00 time: 0.2869 data_time: 0.0186 memory: 6334 grad_norm: 2.6982 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7620 loss: 2.7620 2022/08/14 19:06:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:06:54 - mmengine - INFO - Epoch(train) [118][3500/3757] lr: 5.6729e-02 eta: 1 day, 16:52:32 time: 0.2883 data_time: 0.0181 memory: 6334 grad_norm: 2.6847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0268 loss: 3.0268 2022/08/14 19:07:23 - mmengine - INFO - Epoch(train) [118][3600/3757] lr: 5.6729e-02 eta: 1 day, 16:52:04 time: 0.2866 data_time: 0.0184 memory: 6334 grad_norm: 2.7222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6696 loss: 2.6696 2022/08/14 19:07:52 - mmengine - INFO - Epoch(train) [118][3700/3757] lr: 5.6729e-02 eta: 1 day, 16:51:36 time: 0.2923 data_time: 0.0178 memory: 6334 grad_norm: 2.7002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7364 loss: 2.7364 2022/08/14 19:08:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:08:08 - mmengine - INFO - Epoch(train) [118][3757/3757] lr: 5.6729e-02 eta: 1 day, 16:51:25 time: 0.2643 data_time: 0.0149 memory: 6334 grad_norm: 2.6877 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.9982 loss: 2.9982 2022/08/14 19:08:40 - mmengine - INFO - Epoch(train) [119][100/3757] lr: 5.6121e-02 eta: 1 day, 16:50:50 time: 0.2855 data_time: 0.0184 memory: 6334 grad_norm: 2.6594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4169 loss: 2.4169 2022/08/14 19:09:08 - mmengine - INFO - Epoch(train) [119][200/3757] lr: 5.6121e-02 eta: 1 day, 16:50:22 time: 0.2843 data_time: 0.0185 memory: 6334 grad_norm: 2.8046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6750 loss: 2.6750 2022/08/14 19:09:37 - mmengine - INFO - Epoch(train) [119][300/3757] lr: 5.6121e-02 eta: 1 day, 16:49:54 time: 0.2853 data_time: 0.0186 memory: 6334 grad_norm: 2.7490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6915 loss: 2.6915 2022/08/14 19:10:06 - mmengine - INFO - Epoch(train) [119][400/3757] lr: 5.6121e-02 eta: 1 day, 16:49:26 time: 0.2867 data_time: 0.0191 memory: 6334 grad_norm: 2.7970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7666 loss: 2.7666 2022/08/14 19:10:35 - mmengine - INFO - Epoch(train) [119][500/3757] lr: 5.6121e-02 eta: 1 day, 16:48:58 time: 0.2859 data_time: 0.0184 memory: 6334 grad_norm: 2.7780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9512 loss: 2.9512 2022/08/14 19:11:04 - mmengine - INFO - Epoch(train) [119][600/3757] lr: 5.6121e-02 eta: 1 day, 16:48:30 time: 0.3017 data_time: 0.0200 memory: 6334 grad_norm: 2.7716 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6754 loss: 2.6754 2022/08/14 19:11:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:11:33 - mmengine - INFO - Epoch(train) [119][700/3757] lr: 5.6121e-02 eta: 1 day, 16:48:02 time: 0.2858 data_time: 0.0186 memory: 6334 grad_norm: 2.7459 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0674 loss: 3.0674 2022/08/14 19:12:02 - mmengine - INFO - Epoch(train) [119][800/3757] lr: 5.6121e-02 eta: 1 day, 16:47:34 time: 0.2876 data_time: 0.0193 memory: 6334 grad_norm: 2.7052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7369 loss: 2.7369 2022/08/14 19:12:31 - mmengine - INFO - Epoch(train) [119][900/3757] lr: 5.6121e-02 eta: 1 day, 16:47:06 time: 0.2845 data_time: 0.0185 memory: 6334 grad_norm: 2.7125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7981 loss: 2.7981 2022/08/14 19:13:00 - mmengine - INFO - Epoch(train) [119][1000/3757] lr: 5.6121e-02 eta: 1 day, 16:46:39 time: 0.2969 data_time: 0.0198 memory: 6334 grad_norm: 2.8215 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8746 loss: 2.8746 2022/08/14 19:13:29 - mmengine - INFO - Epoch(train) [119][1100/3757] lr: 5.6121e-02 eta: 1 day, 16:46:11 time: 0.2853 data_time: 0.0177 memory: 6334 grad_norm: 2.7489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9943 loss: 2.9943 2022/08/14 19:13:58 - mmengine - INFO - Epoch(train) [119][1200/3757] lr: 5.6121e-02 eta: 1 day, 16:45:43 time: 0.2866 data_time: 0.0188 memory: 6334 grad_norm: 2.7494 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6353 loss: 2.6353 2022/08/14 19:14:26 - mmengine - INFO - Epoch(train) [119][1300/3757] lr: 5.6121e-02 eta: 1 day, 16:45:15 time: 0.2859 data_time: 0.0191 memory: 6334 grad_norm: 2.7461 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8431 loss: 2.8431 2022/08/14 19:14:55 - mmengine - INFO - Epoch(train) [119][1400/3757] lr: 5.6121e-02 eta: 1 day, 16:44:47 time: 0.2854 data_time: 0.0177 memory: 6334 grad_norm: 2.7707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6190 loss: 2.6190 2022/08/14 19:15:24 - mmengine - INFO - Epoch(train) [119][1500/3757] lr: 5.6121e-02 eta: 1 day, 16:44:19 time: 0.2883 data_time: 0.0182 memory: 6334 grad_norm: 2.7576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7554 loss: 2.7554 2022/08/14 19:15:53 - mmengine - INFO - Epoch(train) [119][1600/3757] lr: 5.6121e-02 eta: 1 day, 16:43:51 time: 0.2847 data_time: 0.0185 memory: 6334 grad_norm: 2.7147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7319 loss: 2.7319 2022/08/14 19:16:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:16:22 - mmengine - INFO - Epoch(train) [119][1700/3757] lr: 5.6121e-02 eta: 1 day, 16:43:23 time: 0.2895 data_time: 0.0188 memory: 6334 grad_norm: 2.7736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8759 loss: 2.8759 2022/08/14 19:16:51 - mmengine - INFO - Epoch(train) [119][1800/3757] lr: 5.6121e-02 eta: 1 day, 16:42:55 time: 0.2865 data_time: 0.0185 memory: 6334 grad_norm: 2.7729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6795 loss: 2.6795 2022/08/14 19:17:20 - mmengine - INFO - Epoch(train) [119][1900/3757] lr: 5.6121e-02 eta: 1 day, 16:42:27 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.7600 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9534 loss: 2.9534 2022/08/14 19:17:49 - mmengine - INFO - Epoch(train) [119][2000/3757] lr: 5.6121e-02 eta: 1 day, 16:41:59 time: 0.2857 data_time: 0.0186 memory: 6334 grad_norm: 2.8513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7264 loss: 2.7264 2022/08/14 19:18:17 - mmengine - INFO - Epoch(train) [119][2100/3757] lr: 5.6121e-02 eta: 1 day, 16:41:31 time: 0.2853 data_time: 0.0179 memory: 6334 grad_norm: 2.8706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9332 loss: 2.9332 2022/08/14 19:18:46 - mmengine - INFO - Epoch(train) [119][2200/3757] lr: 5.6121e-02 eta: 1 day, 16:41:03 time: 0.2881 data_time: 0.0193 memory: 6334 grad_norm: 2.6452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0249 loss: 3.0249 2022/08/14 19:19:15 - mmengine - INFO - Epoch(train) [119][2300/3757] lr: 5.6121e-02 eta: 1 day, 16:40:35 time: 0.2873 data_time: 0.0200 memory: 6334 grad_norm: 2.7692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8275 loss: 2.8275 2022/08/14 19:19:44 - mmengine - INFO - Epoch(train) [119][2400/3757] lr: 5.6121e-02 eta: 1 day, 16:40:07 time: 0.2915 data_time: 0.0191 memory: 6334 grad_norm: 2.8327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0768 loss: 3.0768 2022/08/14 19:20:13 - mmengine - INFO - Epoch(train) [119][2500/3757] lr: 5.6121e-02 eta: 1 day, 16:39:39 time: 0.2852 data_time: 0.0187 memory: 6334 grad_norm: 2.8345 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1113 loss: 3.1113 2022/08/14 19:20:42 - mmengine - INFO - Epoch(train) [119][2600/3757] lr: 5.6121e-02 eta: 1 day, 16:39:12 time: 0.2909 data_time: 0.0190 memory: 6334 grad_norm: 2.7942 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2361 loss: 3.2361 2022/08/14 19:21:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:21:11 - mmengine - INFO - Epoch(train) [119][2700/3757] lr: 5.6121e-02 eta: 1 day, 16:38:44 time: 0.2859 data_time: 0.0188 memory: 6334 grad_norm: 2.6848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7624 loss: 2.7624 2022/08/14 19:21:39 - mmengine - INFO - Epoch(train) [119][2800/3757] lr: 5.6121e-02 eta: 1 day, 16:38:16 time: 0.2848 data_time: 0.0188 memory: 6334 grad_norm: 2.7886 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1401 loss: 3.1401 2022/08/14 19:22:08 - mmengine - INFO - Epoch(train) [119][2900/3757] lr: 5.6121e-02 eta: 1 day, 16:37:48 time: 0.2858 data_time: 0.0176 memory: 6334 grad_norm: 2.7180 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6942 loss: 2.6942 2022/08/14 19:22:37 - mmengine - INFO - Epoch(train) [119][3000/3757] lr: 5.6121e-02 eta: 1 day, 16:37:20 time: 0.2844 data_time: 0.0180 memory: 6334 grad_norm: 2.7228 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0017 loss: 3.0017 2022/08/14 19:23:06 - mmengine - INFO - Epoch(train) [119][3100/3757] lr: 5.6121e-02 eta: 1 day, 16:36:52 time: 0.2868 data_time: 0.0193 memory: 6334 grad_norm: 2.8212 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1506 loss: 3.1506 2022/08/14 19:23:35 - mmengine - INFO - Epoch(train) [119][3200/3757] lr: 5.6121e-02 eta: 1 day, 16:36:24 time: 0.2862 data_time: 0.0176 memory: 6334 grad_norm: 2.6962 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9090 loss: 2.9090 2022/08/14 19:24:04 - mmengine - INFO - Epoch(train) [119][3300/3757] lr: 5.6121e-02 eta: 1 day, 16:35:57 time: 0.2860 data_time: 0.0191 memory: 6334 grad_norm: 2.7052 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8393 loss: 2.8393 2022/08/14 19:24:33 - mmengine - INFO - Epoch(train) [119][3400/3757] lr: 5.6121e-02 eta: 1 day, 16:35:29 time: 0.2866 data_time: 0.0199 memory: 6334 grad_norm: 2.7759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7550 loss: 2.7550 2022/08/14 19:25:02 - mmengine - INFO - Epoch(train) [119][3500/3757] lr: 5.6121e-02 eta: 1 day, 16:35:00 time: 0.2862 data_time: 0.0200 memory: 6334 grad_norm: 2.7560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0603 loss: 3.0603 2022/08/14 19:25:31 - mmengine - INFO - Epoch(train) [119][3600/3757] lr: 5.6121e-02 eta: 1 day, 16:34:33 time: 0.3004 data_time: 0.0199 memory: 6334 grad_norm: 2.6724 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6182 loss: 2.6182 2022/08/14 19:25:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:26:00 - mmengine - INFO - Epoch(train) [119][3700/3757] lr: 5.6121e-02 eta: 1 day, 16:34:05 time: 0.2862 data_time: 0.0190 memory: 6334 grad_norm: 2.7439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8626 loss: 2.8626 2022/08/14 19:26:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:26:16 - mmengine - INFO - Epoch(train) [119][3757/3757] lr: 5.6121e-02 eta: 1 day, 16:33:54 time: 0.2647 data_time: 0.0154 memory: 6334 grad_norm: 2.7665 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.0141 loss: 3.0141 2022/08/14 19:26:47 - mmengine - INFO - Epoch(train) [120][100/3757] lr: 5.5511e-02 eta: 1 day, 16:33:18 time: 0.2855 data_time: 0.0185 memory: 6334 grad_norm: 2.6913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8042 loss: 2.8042 2022/08/14 19:27:16 - mmengine - INFO - Epoch(train) [120][200/3757] lr: 5.5511e-02 eta: 1 day, 16:32:50 time: 0.2842 data_time: 0.0172 memory: 6334 grad_norm: 2.7260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6647 loss: 2.6647 2022/08/14 19:27:45 - mmengine - INFO - Epoch(train) [120][300/3757] lr: 5.5511e-02 eta: 1 day, 16:32:22 time: 0.2918 data_time: 0.0199 memory: 6334 grad_norm: 2.7572 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9127 loss: 2.9127 2022/08/14 19:28:14 - mmengine - INFO - Epoch(train) [120][400/3757] lr: 5.5511e-02 eta: 1 day, 16:31:54 time: 0.2895 data_time: 0.0185 memory: 6334 grad_norm: 2.7693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0201 loss: 3.0201 2022/08/14 19:28:42 - mmengine - INFO - Epoch(train) [120][500/3757] lr: 5.5511e-02 eta: 1 day, 16:31:26 time: 0.2860 data_time: 0.0176 memory: 6334 grad_norm: 2.7689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9660 loss: 2.9660 2022/08/14 19:29:11 - mmengine - INFO - Epoch(train) [120][600/3757] lr: 5.5511e-02 eta: 1 day, 16:30:58 time: 0.2850 data_time: 0.0184 memory: 6334 grad_norm: 2.8335 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8899 loss: 2.8899 2022/08/14 19:29:40 - mmengine - INFO - Epoch(train) [120][700/3757] lr: 5.5511e-02 eta: 1 day, 16:30:30 time: 0.2877 data_time: 0.0185 memory: 6334 grad_norm: 2.7464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7974 loss: 2.7974 2022/08/14 19:30:09 - mmengine - INFO - Epoch(train) [120][800/3757] lr: 5.5511e-02 eta: 1 day, 16:30:02 time: 0.2872 data_time: 0.0181 memory: 6334 grad_norm: 2.7299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5659 loss: 2.5659 2022/08/14 19:30:38 - mmengine - INFO - Epoch(train) [120][900/3757] lr: 5.5511e-02 eta: 1 day, 16:29:34 time: 0.2847 data_time: 0.0182 memory: 6334 grad_norm: 2.6939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8890 loss: 2.8890 2022/08/14 19:30:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:31:07 - mmengine - INFO - Epoch(train) [120][1000/3757] lr: 5.5511e-02 eta: 1 day, 16:29:06 time: 0.2892 data_time: 0.0194 memory: 6334 grad_norm: 2.7619 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2644 loss: 3.2644 2022/08/14 19:31:36 - mmengine - INFO - Epoch(train) [120][1100/3757] lr: 5.5511e-02 eta: 1 day, 16:28:38 time: 0.2873 data_time: 0.0185 memory: 6334 grad_norm: 2.7352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9384 loss: 2.9384 2022/08/14 19:32:05 - mmengine - INFO - Epoch(train) [120][1200/3757] lr: 5.5511e-02 eta: 1 day, 16:28:10 time: 0.2866 data_time: 0.0180 memory: 6334 grad_norm: 2.7329 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6874 loss: 2.6874 2022/08/14 19:32:33 - mmengine - INFO - Epoch(train) [120][1300/3757] lr: 5.5511e-02 eta: 1 day, 16:27:42 time: 0.2865 data_time: 0.0182 memory: 6334 grad_norm: 2.7127 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9106 loss: 2.9106 2022/08/14 19:33:02 - mmengine - INFO - Epoch(train) [120][1400/3757] lr: 5.5511e-02 eta: 1 day, 16:27:14 time: 0.2863 data_time: 0.0194 memory: 6334 grad_norm: 2.7682 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8884 loss: 2.8884 2022/08/14 19:33:31 - mmengine - INFO - Epoch(train) [120][1500/3757] lr: 5.5511e-02 eta: 1 day, 16:26:46 time: 0.2838 data_time: 0.0180 memory: 6334 grad_norm: 2.7779 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9250 loss: 2.9250 2022/08/14 19:34:00 - mmengine - INFO - Epoch(train) [120][1600/3757] lr: 5.5511e-02 eta: 1 day, 16:26:18 time: 0.2844 data_time: 0.0183 memory: 6334 grad_norm: 2.7578 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7727 loss: 2.7727 2022/08/14 19:34:29 - mmengine - INFO - Epoch(train) [120][1700/3757] lr: 5.5511e-02 eta: 1 day, 16:25:50 time: 0.2839 data_time: 0.0177 memory: 6334 grad_norm: 2.7770 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9597 loss: 2.9597 2022/08/14 19:34:58 - mmengine - INFO - Epoch(train) [120][1800/3757] lr: 5.5511e-02 eta: 1 day, 16:25:22 time: 0.2857 data_time: 0.0184 memory: 6334 grad_norm: 2.7069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9954 loss: 2.9954 2022/08/14 19:35:26 - mmengine - INFO - Epoch(train) [120][1900/3757] lr: 5.5511e-02 eta: 1 day, 16:24:54 time: 0.2870 data_time: 0.0200 memory: 6334 grad_norm: 2.8506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7587 loss: 2.7587 2022/08/14 19:35:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:35:55 - mmengine - INFO - Epoch(train) [120][2000/3757] lr: 5.5511e-02 eta: 1 day, 16:24:26 time: 0.2853 data_time: 0.0183 memory: 6334 grad_norm: 2.6747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7472 loss: 2.7472 2022/08/14 19:36:24 - mmengine - INFO - Epoch(train) [120][2100/3757] lr: 5.5511e-02 eta: 1 day, 16:23:58 time: 0.2872 data_time: 0.0192 memory: 6334 grad_norm: 2.6696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8981 loss: 2.8981 2022/08/14 19:36:53 - mmengine - INFO - Epoch(train) [120][2200/3757] lr: 5.5511e-02 eta: 1 day, 16:23:31 time: 0.2883 data_time: 0.0185 memory: 6334 grad_norm: 2.7162 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8673 loss: 2.8673 2022/08/14 19:37:22 - mmengine - INFO - Epoch(train) [120][2300/3757] lr: 5.5511e-02 eta: 1 day, 16:23:03 time: 0.2868 data_time: 0.0198 memory: 6334 grad_norm: 2.7937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9017 loss: 2.9017 2022/08/14 19:37:51 - mmengine - INFO - Epoch(train) [120][2400/3757] lr: 5.5511e-02 eta: 1 day, 16:22:35 time: 0.2857 data_time: 0.0177 memory: 6334 grad_norm: 2.8011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7162 loss: 2.7162 2022/08/14 19:38:19 - mmengine - INFO - Epoch(train) [120][2500/3757] lr: 5.5511e-02 eta: 1 day, 16:22:06 time: 0.2851 data_time: 0.0177 memory: 6334 grad_norm: 2.6250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8127 loss: 2.8127 2022/08/14 19:38:48 - mmengine - INFO - Epoch(train) [120][2600/3757] lr: 5.5511e-02 eta: 1 day, 16:21:38 time: 0.2868 data_time: 0.0184 memory: 6334 grad_norm: 2.7771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0071 loss: 3.0071 2022/08/14 19:39:17 - mmengine - INFO - Epoch(train) [120][2700/3757] lr: 5.5511e-02 eta: 1 day, 16:21:10 time: 0.2842 data_time: 0.0179 memory: 6334 grad_norm: 2.7697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8623 loss: 2.8623 2022/08/14 19:39:46 - mmengine - INFO - Epoch(train) [120][2800/3757] lr: 5.5511e-02 eta: 1 day, 16:20:42 time: 0.2884 data_time: 0.0185 memory: 6334 grad_norm: 2.7716 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9711 loss: 2.9711 2022/08/14 19:40:15 - mmengine - INFO - Epoch(train) [120][2900/3757] lr: 5.5511e-02 eta: 1 day, 16:20:14 time: 0.2867 data_time: 0.0192 memory: 6334 grad_norm: 2.8018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7990 loss: 2.7990 2022/08/14 19:40:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:40:44 - mmengine - INFO - Epoch(train) [120][3000/3757] lr: 5.5511e-02 eta: 1 day, 16:19:46 time: 0.2869 data_time: 0.0178 memory: 6334 grad_norm: 2.7616 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7388 loss: 2.7388 2022/08/14 19:41:12 - mmengine - INFO - Epoch(train) [120][3100/3757] lr: 5.5511e-02 eta: 1 day, 16:19:18 time: 0.2857 data_time: 0.0193 memory: 6334 grad_norm: 2.7868 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6312 loss: 2.6312 2022/08/14 19:41:41 - mmengine - INFO - Epoch(train) [120][3200/3757] lr: 5.5511e-02 eta: 1 day, 16:18:50 time: 0.2854 data_time: 0.0170 memory: 6334 grad_norm: 2.7095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8341 loss: 2.8341 2022/08/14 19:42:10 - mmengine - INFO - Epoch(train) [120][3300/3757] lr: 5.5511e-02 eta: 1 day, 16:18:22 time: 0.2869 data_time: 0.0184 memory: 6334 grad_norm: 2.8000 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0436 loss: 3.0436 2022/08/14 19:42:39 - mmengine - INFO - Epoch(train) [120][3400/3757] lr: 5.5511e-02 eta: 1 day, 16:17:54 time: 0.2842 data_time: 0.0173 memory: 6334 grad_norm: 2.7374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9427 loss: 2.9427 2022/08/14 19:43:08 - mmengine - INFO - Epoch(train) [120][3500/3757] lr: 5.5511e-02 eta: 1 day, 16:17:26 time: 0.2868 data_time: 0.0194 memory: 6334 grad_norm: 2.7921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8458 loss: 2.8458 2022/08/14 19:43:37 - mmengine - INFO - Epoch(train) [120][3600/3757] lr: 5.5511e-02 eta: 1 day, 16:16:58 time: 0.2878 data_time: 0.0182 memory: 6334 grad_norm: 2.8302 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6508 loss: 2.6508 2022/08/14 19:44:05 - mmengine - INFO - Epoch(train) [120][3700/3757] lr: 5.5511e-02 eta: 1 day, 16:16:30 time: 0.2879 data_time: 0.0183 memory: 6334 grad_norm: 2.7728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8453 loss: 2.8453 2022/08/14 19:44:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:44:22 - mmengine - INFO - Epoch(train) [120][3757/3757] lr: 5.5511e-02 eta: 1 day, 16:16:19 time: 0.2660 data_time: 0.0158 memory: 6334 grad_norm: 2.7690 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8860 loss: 2.8860 2022/08/14 19:44:22 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/14 19:44:48 - mmengine - INFO - Epoch(val) [120][100/310] eta: 0:00:46 time: 0.2192 data_time: 0.1200 memory: 1152 2022/08/14 19:45:09 - mmengine - INFO - Epoch(val) [120][200/310] eta: 0:00:20 time: 0.1875 data_time: 0.0893 memory: 1152 2022/08/14 19:45:28 - mmengine - INFO - Epoch(val) [120][300/310] eta: 0:00:01 time: 0.1457 data_time: 0.0666 memory: 1152 2022/08/14 19:45:31 - mmengine - INFO - Epoch(val) [120][310/310] acc/top1: 0.4102 acc/top5: 0.6875 acc/mean1: 0.4101 2022/08/14 19:46:02 - mmengine - INFO - Epoch(train) [121][100/3757] lr: 5.4901e-02 eta: 1 day, 16:15:43 time: 0.2854 data_time: 0.0182 memory: 6334 grad_norm: 2.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8107 loss: 2.8107 2022/08/14 19:46:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:46:31 - mmengine - INFO - Epoch(train) [121][200/3757] lr: 5.4901e-02 eta: 1 day, 16:15:15 time: 0.2850 data_time: 0.0180 memory: 6334 grad_norm: 2.7707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6565 loss: 2.6565 2022/08/14 19:46:59 - mmengine - INFO - Epoch(train) [121][300/3757] lr: 5.4901e-02 eta: 1 day, 16:14:47 time: 0.2842 data_time: 0.0182 memory: 6334 grad_norm: 2.7582 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8698 loss: 2.8698 2022/08/14 19:47:28 - mmengine - INFO - Epoch(train) [121][400/3757] lr: 5.4901e-02 eta: 1 day, 16:14:20 time: 0.2885 data_time: 0.0190 memory: 6334 grad_norm: 2.7188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7825 loss: 2.7825 2022/08/14 19:47:57 - mmengine - INFO - Epoch(train) [121][500/3757] lr: 5.4901e-02 eta: 1 day, 16:13:52 time: 0.2855 data_time: 0.0193 memory: 6334 grad_norm: 2.7444 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9339 loss: 2.9339 2022/08/14 19:48:26 - mmengine - INFO - Epoch(train) [121][600/3757] lr: 5.4901e-02 eta: 1 day, 16:13:24 time: 0.2929 data_time: 0.0178 memory: 6334 grad_norm: 2.8095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8643 loss: 2.8643 2022/08/14 19:48:55 - mmengine - INFO - Epoch(train) [121][700/3757] lr: 5.4901e-02 eta: 1 day, 16:12:56 time: 0.2877 data_time: 0.0191 memory: 6334 grad_norm: 2.7943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9101 loss: 2.9101 2022/08/14 19:49:24 - mmengine - INFO - Epoch(train) [121][800/3757] lr: 5.4901e-02 eta: 1 day, 16:12:28 time: 0.2873 data_time: 0.0182 memory: 6334 grad_norm: 2.7832 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7921 loss: 2.7921 2022/08/14 19:49:53 - mmengine - INFO - Epoch(train) [121][900/3757] lr: 5.4901e-02 eta: 1 day, 16:12:00 time: 0.2838 data_time: 0.0177 memory: 6334 grad_norm: 2.7779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6065 loss: 2.6065 2022/08/14 19:50:22 - mmengine - INFO - Epoch(train) [121][1000/3757] lr: 5.4901e-02 eta: 1 day, 16:11:32 time: 0.2863 data_time: 0.0188 memory: 6334 grad_norm: 2.8532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6565 loss: 2.6565 2022/08/14 19:50:51 - mmengine - INFO - Epoch(train) [121][1100/3757] lr: 5.4901e-02 eta: 1 day, 16:11:04 time: 0.2860 data_time: 0.0190 memory: 6334 grad_norm: 2.8832 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9891 loss: 2.9891 2022/08/14 19:51:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:51:20 - mmengine - INFO - Epoch(train) [121][1200/3757] lr: 5.4901e-02 eta: 1 day, 16:10:36 time: 0.2865 data_time: 0.0194 memory: 6334 grad_norm: 2.7689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8429 loss: 2.8429 2022/08/14 19:51:49 - mmengine - INFO - Epoch(train) [121][1300/3757] lr: 5.4901e-02 eta: 1 day, 16:10:08 time: 0.2857 data_time: 0.0208 memory: 6334 grad_norm: 2.7798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7236 loss: 2.7236 2022/08/14 19:52:18 - mmengine - INFO - Epoch(train) [121][1400/3757] lr: 5.4901e-02 eta: 1 day, 16:09:41 time: 0.2894 data_time: 0.0205 memory: 6334 grad_norm: 2.7146 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8951 loss: 2.8951 2022/08/14 19:52:47 - mmengine - INFO - Epoch(train) [121][1500/3757] lr: 5.4901e-02 eta: 1 day, 16:09:13 time: 0.2884 data_time: 0.0188 memory: 6334 grad_norm: 2.6952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7784 loss: 2.7784 2022/08/14 19:53:16 - mmengine - INFO - Epoch(train) [121][1600/3757] lr: 5.4901e-02 eta: 1 day, 16:08:45 time: 0.2909 data_time: 0.0208 memory: 6334 grad_norm: 2.7700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9420 loss: 2.9420 2022/08/14 19:53:44 - mmengine - INFO - Epoch(train) [121][1700/3757] lr: 5.4901e-02 eta: 1 day, 16:08:17 time: 0.2874 data_time: 0.0204 memory: 6334 grad_norm: 2.7926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7457 loss: 2.7457 2022/08/14 19:54:13 - mmengine - INFO - Epoch(train) [121][1800/3757] lr: 5.4901e-02 eta: 1 day, 16:07:49 time: 0.2850 data_time: 0.0171 memory: 6334 grad_norm: 2.7028 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7781 loss: 2.7781 2022/08/14 19:54:42 - mmengine - INFO - Epoch(train) [121][1900/3757] lr: 5.4901e-02 eta: 1 day, 16:07:21 time: 0.2856 data_time: 0.0182 memory: 6334 grad_norm: 2.7533 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7736 loss: 2.7736 2022/08/14 19:55:11 - mmengine - INFO - Epoch(train) [121][2000/3757] lr: 5.4901e-02 eta: 1 day, 16:06:53 time: 0.2857 data_time: 0.0192 memory: 6334 grad_norm: 2.7116 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6506 loss: 2.6506 2022/08/14 19:55:40 - mmengine - INFO - Epoch(train) [121][2100/3757] lr: 5.4901e-02 eta: 1 day, 16:06:25 time: 0.2852 data_time: 0.0172 memory: 6334 grad_norm: 2.8285 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9119 loss: 2.9119 2022/08/14 19:55:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 19:56:09 - mmengine - INFO - Epoch(train) [121][2200/3757] lr: 5.4901e-02 eta: 1 day, 16:05:57 time: 0.2883 data_time: 0.0185 memory: 6334 grad_norm: 2.7329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0402 loss: 3.0402 2022/08/14 19:56:38 - mmengine - INFO - Epoch(train) [121][2300/3757] lr: 5.4901e-02 eta: 1 day, 16:05:29 time: 0.2874 data_time: 0.0196 memory: 6334 grad_norm: 2.8967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8307 loss: 2.8307 2022/08/14 19:57:07 - mmengine - INFO - Epoch(train) [121][2400/3757] lr: 5.4901e-02 eta: 1 day, 16:05:01 time: 0.2846 data_time: 0.0184 memory: 6334 grad_norm: 2.7580 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9324 loss: 2.9324 2022/08/14 19:57:36 - mmengine - INFO - Epoch(train) [121][2500/3757] lr: 5.4901e-02 eta: 1 day, 16:04:33 time: 0.2870 data_time: 0.0200 memory: 6334 grad_norm: 2.7492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0544 loss: 3.0544 2022/08/14 19:58:05 - mmengine - INFO - Epoch(train) [121][2600/3757] lr: 5.4901e-02 eta: 1 day, 16:04:05 time: 0.2868 data_time: 0.0186 memory: 6334 grad_norm: 2.8792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8468 loss: 2.8468 2022/08/14 19:58:33 - mmengine - INFO - Epoch(train) [121][2700/3757] lr: 5.4901e-02 eta: 1 day, 16:03:37 time: 0.2852 data_time: 0.0190 memory: 6334 grad_norm: 2.7161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7460 loss: 2.7460 2022/08/14 19:59:02 - mmengine - INFO - Epoch(train) [121][2800/3757] lr: 5.4901e-02 eta: 1 day, 16:03:09 time: 0.2842 data_time: 0.0175 memory: 6334 grad_norm: 2.6757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6914 loss: 2.6914 2022/08/14 19:59:31 - mmengine - INFO - Epoch(train) [121][2900/3757] lr: 5.4901e-02 eta: 1 day, 16:02:41 time: 0.2844 data_time: 0.0177 memory: 6334 grad_norm: 2.8088 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9420 loss: 2.9420 2022/08/14 20:00:00 - mmengine - INFO - Epoch(train) [121][3000/3757] lr: 5.4901e-02 eta: 1 day, 16:02:13 time: 0.2888 data_time: 0.0216 memory: 6334 grad_norm: 2.7449 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5567 loss: 2.5567 2022/08/14 20:00:29 - mmengine - INFO - Epoch(train) [121][3100/3757] lr: 5.4901e-02 eta: 1 day, 16:01:45 time: 0.2874 data_time: 0.0181 memory: 6334 grad_norm: 2.7978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8789 loss: 2.8789 2022/08/14 20:00:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:00:57 - mmengine - INFO - Epoch(train) [121][3200/3757] lr: 5.4901e-02 eta: 1 day, 16:01:17 time: 0.2870 data_time: 0.0197 memory: 6334 grad_norm: 2.8761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6534 loss: 2.6534 2022/08/14 20:01:26 - mmengine - INFO - Epoch(train) [121][3300/3757] lr: 5.4901e-02 eta: 1 day, 16:00:49 time: 0.2875 data_time: 0.0195 memory: 6334 grad_norm: 2.8467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6586 loss: 2.6586 2022/08/14 20:01:55 - mmengine - INFO - Epoch(train) [121][3400/3757] lr: 5.4901e-02 eta: 1 day, 16:00:21 time: 0.2872 data_time: 0.0192 memory: 6334 grad_norm: 2.6941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6612 loss: 2.6612 2022/08/14 20:02:24 - mmengine - INFO - Epoch(train) [121][3500/3757] lr: 5.4901e-02 eta: 1 day, 15:59:53 time: 0.2841 data_time: 0.0187 memory: 6334 grad_norm: 2.7677 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7795 loss: 2.7795 2022/08/14 20:02:53 - mmengine - INFO - Epoch(train) [121][3600/3757] lr: 5.4901e-02 eta: 1 day, 15:59:25 time: 0.2864 data_time: 0.0171 memory: 6334 grad_norm: 2.7678 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0443 loss: 3.0443 2022/08/14 20:03:22 - mmengine - INFO - Epoch(train) [121][3700/3757] lr: 5.4901e-02 eta: 1 day, 15:58:57 time: 0.2875 data_time: 0.0190 memory: 6334 grad_norm: 2.7697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7661 loss: 2.7661 2022/08/14 20:03:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:03:38 - mmengine - INFO - Epoch(train) [121][3757/3757] lr: 5.4901e-02 eta: 1 day, 15:58:46 time: 0.2661 data_time: 0.0179 memory: 6334 grad_norm: 2.7859 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.9038 loss: 2.9038 2022/08/14 20:04:09 - mmengine - INFO - Epoch(train) [122][100/3757] lr: 5.4290e-02 eta: 1 day, 15:58:10 time: 0.2882 data_time: 0.0198 memory: 6334 grad_norm: 2.6836 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4958 loss: 2.4958 2022/08/14 20:04:38 - mmengine - INFO - Epoch(train) [122][200/3757] lr: 5.4290e-02 eta: 1 day, 15:57:42 time: 0.2858 data_time: 0.0194 memory: 6334 grad_norm: 2.7498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8185 loss: 2.8185 2022/08/14 20:05:06 - mmengine - INFO - Epoch(train) [122][300/3757] lr: 5.4290e-02 eta: 1 day, 15:57:14 time: 0.2865 data_time: 0.0188 memory: 6334 grad_norm: 2.8587 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5693 loss: 2.5693 2022/08/14 20:05:35 - mmengine - INFO - Epoch(train) [122][400/3757] lr: 5.4290e-02 eta: 1 day, 15:56:46 time: 0.2857 data_time: 0.0183 memory: 6334 grad_norm: 2.7837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9378 loss: 2.9378 2022/08/14 20:05:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:06:04 - mmengine - INFO - Epoch(train) [122][500/3757] lr: 5.4290e-02 eta: 1 day, 15:56:18 time: 0.2869 data_time: 0.0186 memory: 6334 grad_norm: 2.8921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7157 loss: 2.7157 2022/08/14 20:06:33 - mmengine - INFO - Epoch(train) [122][600/3757] lr: 5.4290e-02 eta: 1 day, 15:55:50 time: 0.2842 data_time: 0.0183 memory: 6334 grad_norm: 2.8027 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8280 loss: 2.8280 2022/08/14 20:07:02 - mmengine - INFO - Epoch(train) [122][700/3757] lr: 5.4290e-02 eta: 1 day, 15:55:22 time: 0.2878 data_time: 0.0191 memory: 6334 grad_norm: 2.7802 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7098 loss: 2.7098 2022/08/14 20:07:31 - mmengine - INFO - Epoch(train) [122][800/3757] lr: 5.4290e-02 eta: 1 day, 15:54:54 time: 0.2857 data_time: 0.0183 memory: 6334 grad_norm: 2.6812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5550 loss: 2.5550 2022/08/14 20:08:00 - mmengine - INFO - Epoch(train) [122][900/3757] lr: 5.4290e-02 eta: 1 day, 15:54:27 time: 0.2903 data_time: 0.0181 memory: 6334 grad_norm: 2.8059 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9979 loss: 2.9979 2022/08/14 20:08:29 - mmengine - INFO - Epoch(train) [122][1000/3757] lr: 5.4290e-02 eta: 1 day, 15:53:59 time: 0.2866 data_time: 0.0187 memory: 6334 grad_norm: 2.7701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9151 loss: 2.9151 2022/08/14 20:08:58 - mmengine - INFO - Epoch(train) [122][1100/3757] lr: 5.4290e-02 eta: 1 day, 15:53:31 time: 0.2933 data_time: 0.0178 memory: 6334 grad_norm: 2.8714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8969 loss: 2.8969 2022/08/14 20:09:27 - mmengine - INFO - Epoch(train) [122][1200/3757] lr: 5.4290e-02 eta: 1 day, 15:53:03 time: 0.2877 data_time: 0.0183 memory: 6334 grad_norm: 2.7825 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7143 loss: 2.7143 2022/08/14 20:09:56 - mmengine - INFO - Epoch(train) [122][1300/3757] lr: 5.4290e-02 eta: 1 day, 15:52:35 time: 0.2922 data_time: 0.0176 memory: 6334 grad_norm: 2.8490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5977 loss: 2.5977 2022/08/14 20:10:25 - mmengine - INFO - Epoch(train) [122][1400/3757] lr: 5.4290e-02 eta: 1 day, 15:52:07 time: 0.2865 data_time: 0.0180 memory: 6334 grad_norm: 2.8056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7774 loss: 2.7774 2022/08/14 20:10:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:10:53 - mmengine - INFO - Epoch(train) [122][1500/3757] lr: 5.4290e-02 eta: 1 day, 15:51:39 time: 0.2854 data_time: 0.0197 memory: 6334 grad_norm: 2.8267 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9711 loss: 2.9711 2022/08/14 20:11:22 - mmengine - INFO - Epoch(train) [122][1600/3757] lr: 5.4290e-02 eta: 1 day, 15:51:11 time: 0.2850 data_time: 0.0183 memory: 6334 grad_norm: 2.6984 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8589 loss: 2.8589 2022/08/14 20:11:51 - mmengine - INFO - Epoch(train) [122][1700/3757] lr: 5.4290e-02 eta: 1 day, 15:50:43 time: 0.2845 data_time: 0.0186 memory: 6334 grad_norm: 2.8271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0439 loss: 3.0439 2022/08/14 20:12:20 - mmengine - INFO - Epoch(train) [122][1800/3757] lr: 5.4290e-02 eta: 1 day, 15:50:15 time: 0.2902 data_time: 0.0206 memory: 6334 grad_norm: 2.7265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6425 loss: 2.6425 2022/08/14 20:12:49 - mmengine - INFO - Epoch(train) [122][1900/3757] lr: 5.4290e-02 eta: 1 day, 15:49:47 time: 0.2877 data_time: 0.0197 memory: 6334 grad_norm: 2.8002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8189 loss: 2.8189 2022/08/14 20:13:18 - mmengine - INFO - Epoch(train) [122][2000/3757] lr: 5.4290e-02 eta: 1 day, 15:49:19 time: 0.2906 data_time: 0.0203 memory: 6334 grad_norm: 2.7438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8153 loss: 2.8153 2022/08/14 20:13:47 - mmengine - INFO - Epoch(train) [122][2100/3757] lr: 5.4290e-02 eta: 1 day, 15:48:51 time: 0.2885 data_time: 0.0180 memory: 6334 grad_norm: 2.8254 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9409 loss: 2.9409 2022/08/14 20:14:16 - mmengine - INFO - Epoch(train) [122][2200/3757] lr: 5.4290e-02 eta: 1 day, 15:48:23 time: 0.2872 data_time: 0.0183 memory: 6334 grad_norm: 2.8182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9357 loss: 2.9357 2022/08/14 20:14:45 - mmengine - INFO - Epoch(train) [122][2300/3757] lr: 5.4290e-02 eta: 1 day, 15:47:55 time: 0.2840 data_time: 0.0170 memory: 6334 grad_norm: 2.8043 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9164 loss: 2.9164 2022/08/14 20:15:13 - mmengine - INFO - Epoch(train) [122][2400/3757] lr: 5.4290e-02 eta: 1 day, 15:47:27 time: 0.2857 data_time: 0.0185 memory: 6334 grad_norm: 2.8230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8103 loss: 2.8103 2022/08/14 20:15:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:15:42 - mmengine - INFO - Epoch(train) [122][2500/3757] lr: 5.4290e-02 eta: 1 day, 15:46:59 time: 0.2857 data_time: 0.0191 memory: 6334 grad_norm: 2.8221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3390 loss: 3.3390 2022/08/14 20:16:11 - mmengine - INFO - Epoch(train) [122][2600/3757] lr: 5.4290e-02 eta: 1 day, 15:46:31 time: 0.2861 data_time: 0.0182 memory: 6334 grad_norm: 2.7465 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9267 loss: 2.9267 2022/08/14 20:16:40 - mmengine - INFO - Epoch(train) [122][2700/3757] lr: 5.4290e-02 eta: 1 day, 15:46:04 time: 0.2916 data_time: 0.0207 memory: 6334 grad_norm: 2.7760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9740 loss: 2.9740 2022/08/14 20:17:10 - mmengine - INFO - Epoch(train) [122][2800/3757] lr: 5.4290e-02 eta: 1 day, 15:45:36 time: 0.2875 data_time: 0.0188 memory: 6334 grad_norm: 2.8354 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2058 loss: 3.2058 2022/08/14 20:17:38 - mmengine - INFO - Epoch(train) [122][2900/3757] lr: 5.4290e-02 eta: 1 day, 15:45:08 time: 0.2894 data_time: 0.0202 memory: 6334 grad_norm: 2.7527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8626 loss: 2.8626 2022/08/14 20:18:07 - mmengine - INFO - Epoch(train) [122][3000/3757] lr: 5.4290e-02 eta: 1 day, 15:44:40 time: 0.2882 data_time: 0.0192 memory: 6334 grad_norm: 2.7769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8431 loss: 2.8431 2022/08/14 20:18:36 - mmengine - INFO - Epoch(train) [122][3100/3757] lr: 5.4290e-02 eta: 1 day, 15:44:12 time: 0.2886 data_time: 0.0192 memory: 6334 grad_norm: 2.7599 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7997 loss: 2.7997 2022/08/14 20:19:05 - mmengine - INFO - Epoch(train) [122][3200/3757] lr: 5.4290e-02 eta: 1 day, 15:43:45 time: 0.2853 data_time: 0.0182 memory: 6334 grad_norm: 2.8241 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9349 loss: 2.9349 2022/08/14 20:19:34 - mmengine - INFO - Epoch(train) [122][3300/3757] lr: 5.4290e-02 eta: 1 day, 15:43:17 time: 0.2870 data_time: 0.0192 memory: 6334 grad_norm: 2.7480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5717 loss: 2.5717 2022/08/14 20:20:03 - mmengine - INFO - Epoch(train) [122][3400/3757] lr: 5.4290e-02 eta: 1 day, 15:42:49 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.8221 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8101 loss: 2.8101 2022/08/14 20:20:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:20:32 - mmengine - INFO - Epoch(train) [122][3500/3757] lr: 5.4290e-02 eta: 1 day, 15:42:21 time: 0.2867 data_time: 0.0177 memory: 6334 grad_norm: 2.7991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8980 loss: 2.8980 2022/08/14 20:21:01 - mmengine - INFO - Epoch(train) [122][3600/3757] lr: 5.4290e-02 eta: 1 day, 15:41:53 time: 0.2866 data_time: 0.0193 memory: 6334 grad_norm: 2.7442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7334 loss: 2.7334 2022/08/14 20:21:30 - mmengine - INFO - Epoch(train) [122][3700/3757] lr: 5.4290e-02 eta: 1 day, 15:41:25 time: 0.2896 data_time: 0.0201 memory: 6334 grad_norm: 2.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7927 loss: 2.7927 2022/08/14 20:21:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:21:46 - mmengine - INFO - Epoch(train) [122][3757/3757] lr: 5.4290e-02 eta: 1 day, 15:41:14 time: 0.2635 data_time: 0.0150 memory: 6334 grad_norm: 2.8342 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.0703 loss: 3.0703 2022/08/14 20:22:17 - mmengine - INFO - Epoch(train) [123][100/3757] lr: 5.3678e-02 eta: 1 day, 15:40:38 time: 0.2862 data_time: 0.0196 memory: 6334 grad_norm: 2.8327 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9299 loss: 2.9299 2022/08/14 20:22:46 - mmengine - INFO - Epoch(train) [123][200/3757] lr: 5.3678e-02 eta: 1 day, 15:40:10 time: 0.2849 data_time: 0.0194 memory: 6334 grad_norm: 2.8165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7947 loss: 2.7947 2022/08/14 20:23:15 - mmengine - INFO - Epoch(train) [123][300/3757] lr: 5.3678e-02 eta: 1 day, 15:39:42 time: 0.2844 data_time: 0.0184 memory: 6334 grad_norm: 2.7150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6752 loss: 2.6752 2022/08/14 20:23:44 - mmengine - INFO - Epoch(train) [123][400/3757] lr: 5.3678e-02 eta: 1 day, 15:39:14 time: 0.2866 data_time: 0.0194 memory: 6334 grad_norm: 2.8060 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1451 loss: 3.1451 2022/08/14 20:24:12 - mmengine - INFO - Epoch(train) [123][500/3757] lr: 5.3678e-02 eta: 1 day, 15:38:46 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.8089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7066 loss: 2.7066 2022/08/14 20:24:41 - mmengine - INFO - Epoch(train) [123][600/3757] lr: 5.3678e-02 eta: 1 day, 15:38:18 time: 0.2891 data_time: 0.0198 memory: 6334 grad_norm: 2.7928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7995 loss: 2.7995 2022/08/14 20:24:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:25:10 - mmengine - INFO - Epoch(train) [123][700/3757] lr: 5.3678e-02 eta: 1 day, 15:37:50 time: 0.2910 data_time: 0.0198 memory: 6334 grad_norm: 2.6456 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0105 loss: 3.0105 2022/08/14 20:25:39 - mmengine - INFO - Epoch(train) [123][800/3757] lr: 5.3678e-02 eta: 1 day, 15:37:22 time: 0.2875 data_time: 0.0199 memory: 6334 grad_norm: 2.7905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6684 loss: 2.6684 2022/08/14 20:26:08 - mmengine - INFO - Epoch(train) [123][900/3757] lr: 5.3678e-02 eta: 1 day, 15:36:54 time: 0.2879 data_time: 0.0174 memory: 6334 grad_norm: 2.9188 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7055 loss: 2.7055 2022/08/14 20:26:37 - mmengine - INFO - Epoch(train) [123][1000/3757] lr: 5.3678e-02 eta: 1 day, 15:36:26 time: 0.2872 data_time: 0.0187 memory: 6334 grad_norm: 2.8049 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7147 loss: 2.7147 2022/08/14 20:27:06 - mmengine - INFO - Epoch(train) [123][1100/3757] lr: 5.3678e-02 eta: 1 day, 15:35:58 time: 0.2862 data_time: 0.0186 memory: 6334 grad_norm: 2.7762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6961 loss: 2.6961 2022/08/14 20:27:35 - mmengine - INFO - Epoch(train) [123][1200/3757] lr: 5.3678e-02 eta: 1 day, 15:35:30 time: 0.2838 data_time: 0.0188 memory: 6334 grad_norm: 2.7569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5631 loss: 2.5631 2022/08/14 20:28:04 - mmengine - INFO - Epoch(train) [123][1300/3757] lr: 5.3678e-02 eta: 1 day, 15:35:02 time: 0.2865 data_time: 0.0187 memory: 6334 grad_norm: 2.8205 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8092 loss: 2.8092 2022/08/14 20:28:32 - mmengine - INFO - Epoch(train) [123][1400/3757] lr: 5.3678e-02 eta: 1 day, 15:34:34 time: 0.2875 data_time: 0.0186 memory: 6334 grad_norm: 2.8277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7964 loss: 2.7964 2022/08/14 20:29:01 - mmengine - INFO - Epoch(train) [123][1500/3757] lr: 5.3678e-02 eta: 1 day, 15:34:06 time: 0.2889 data_time: 0.0188 memory: 6334 grad_norm: 2.7159 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7714 loss: 2.7714 2022/08/14 20:29:30 - mmengine - INFO - Epoch(train) [123][1600/3757] lr: 5.3678e-02 eta: 1 day, 15:33:38 time: 0.2858 data_time: 0.0184 memory: 6334 grad_norm: 2.7732 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5220 loss: 2.5220 2022/08/14 20:29:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:29:59 - mmengine - INFO - Epoch(train) [123][1700/3757] lr: 5.3678e-02 eta: 1 day, 15:33:10 time: 0.2869 data_time: 0.0183 memory: 6334 grad_norm: 2.7232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0373 loss: 3.0373 2022/08/14 20:30:28 - mmengine - INFO - Epoch(train) [123][1800/3757] lr: 5.3678e-02 eta: 1 day, 15:32:42 time: 0.2892 data_time: 0.0171 memory: 6334 grad_norm: 2.7809 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7328 loss: 2.7328 2022/08/14 20:30:57 - mmengine - INFO - Epoch(train) [123][1900/3757] lr: 5.3678e-02 eta: 1 day, 15:32:14 time: 0.2849 data_time: 0.0186 memory: 6334 grad_norm: 2.7815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9483 loss: 2.9483 2022/08/14 20:31:26 - mmengine - INFO - Epoch(train) [123][2000/3757] lr: 5.3678e-02 eta: 1 day, 15:31:46 time: 0.2861 data_time: 0.0179 memory: 6334 grad_norm: 2.7271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6703 loss: 2.6703 2022/08/14 20:31:55 - mmengine - INFO - Epoch(train) [123][2100/3757] lr: 5.3678e-02 eta: 1 day, 15:31:18 time: 0.2862 data_time: 0.0186 memory: 6334 grad_norm: 2.9016 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9700 loss: 2.9700 2022/08/14 20:32:24 - mmengine - INFO - Epoch(train) [123][2200/3757] lr: 5.3678e-02 eta: 1 day, 15:30:50 time: 0.2879 data_time: 0.0193 memory: 6334 grad_norm: 2.7644 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8365 loss: 2.8365 2022/08/14 20:32:52 - mmengine - INFO - Epoch(train) [123][2300/3757] lr: 5.3678e-02 eta: 1 day, 15:30:22 time: 0.2874 data_time: 0.0188 memory: 6334 grad_norm: 2.7863 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0100 loss: 3.0100 2022/08/14 20:33:21 - mmengine - INFO - Epoch(train) [123][2400/3757] lr: 5.3678e-02 eta: 1 day, 15:29:54 time: 0.2890 data_time: 0.0202 memory: 6334 grad_norm: 2.7847 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2031 loss: 3.2031 2022/08/14 20:33:50 - mmengine - INFO - Epoch(train) [123][2500/3757] lr: 5.3678e-02 eta: 1 day, 15:29:26 time: 0.2853 data_time: 0.0179 memory: 6334 grad_norm: 2.7634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8865 loss: 2.8865 2022/08/14 20:34:19 - mmengine - INFO - Epoch(train) [123][2600/3757] lr: 5.3678e-02 eta: 1 day, 15:28:58 time: 0.2868 data_time: 0.0195 memory: 6334 grad_norm: 2.8090 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9197 loss: 2.9197 2022/08/14 20:34:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:34:48 - mmengine - INFO - Epoch(train) [123][2700/3757] lr: 5.3678e-02 eta: 1 day, 15:28:30 time: 0.2862 data_time: 0.0173 memory: 6334 grad_norm: 2.7991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6601 loss: 2.6601 2022/08/14 20:35:16 - mmengine - INFO - Epoch(train) [123][2800/3757] lr: 5.3678e-02 eta: 1 day, 15:28:02 time: 0.2852 data_time: 0.0190 memory: 6334 grad_norm: 2.7312 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6926 loss: 2.6926 2022/08/14 20:35:45 - mmengine - INFO - Epoch(train) [123][2900/3757] lr: 5.3678e-02 eta: 1 day, 15:27:34 time: 0.2863 data_time: 0.0187 memory: 6334 grad_norm: 2.7666 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3116 loss: 2.3116 2022/08/14 20:36:14 - mmengine - INFO - Epoch(train) [123][3000/3757] lr: 5.3678e-02 eta: 1 day, 15:27:06 time: 0.2864 data_time: 0.0181 memory: 6334 grad_norm: 2.8606 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8479 loss: 2.8479 2022/08/14 20:36:43 - mmengine - INFO - Epoch(train) [123][3100/3757] lr: 5.3678e-02 eta: 1 day, 15:26:38 time: 0.2876 data_time: 0.0193 memory: 6334 grad_norm: 2.8607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1128 loss: 3.1128 2022/08/14 20:37:12 - mmengine - INFO - Epoch(train) [123][3200/3757] lr: 5.3678e-02 eta: 1 day, 15:26:10 time: 0.2864 data_time: 0.0174 memory: 6334 grad_norm: 2.7965 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8735 loss: 2.8735 2022/08/14 20:37:41 - mmengine - INFO - Epoch(train) [123][3300/3757] lr: 5.3678e-02 eta: 1 day, 15:25:42 time: 0.2894 data_time: 0.0186 memory: 6334 grad_norm: 2.8346 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1643 loss: 3.1643 2022/08/14 20:38:10 - mmengine - INFO - Epoch(train) [123][3400/3757] lr: 5.3678e-02 eta: 1 day, 15:25:14 time: 0.2860 data_time: 0.0195 memory: 6334 grad_norm: 2.8102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7592 loss: 2.7592 2022/08/14 20:38:39 - mmengine - INFO - Epoch(train) [123][3500/3757] lr: 5.3678e-02 eta: 1 day, 15:24:46 time: 0.2881 data_time: 0.0192 memory: 6334 grad_norm: 2.8747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7616 loss: 2.7616 2022/08/14 20:39:08 - mmengine - INFO - Epoch(train) [123][3600/3757] lr: 5.3678e-02 eta: 1 day, 15:24:18 time: 0.2874 data_time: 0.0194 memory: 6334 grad_norm: 2.8815 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8956 loss: 2.8956 2022/08/14 20:39:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:39:37 - mmengine - INFO - Epoch(train) [123][3700/3757] lr: 5.3678e-02 eta: 1 day, 15:23:50 time: 0.2857 data_time: 0.0179 memory: 6334 grad_norm: 2.7756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7962 loss: 2.7962 2022/08/14 20:39:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:39:53 - mmengine - INFO - Epoch(train) [123][3757/3757] lr: 5.3678e-02 eta: 1 day, 15:23:40 time: 0.2651 data_time: 0.0156 memory: 6334 grad_norm: 2.7811 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9455 loss: 2.9455 2022/08/14 20:40:24 - mmengine - INFO - Epoch(train) [124][100/3757] lr: 5.3066e-02 eta: 1 day, 15:23:04 time: 0.2858 data_time: 0.0175 memory: 6334 grad_norm: 2.8147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4764 loss: 2.4764 2022/08/14 20:40:53 - mmengine - INFO - Epoch(train) [124][200/3757] lr: 5.3066e-02 eta: 1 day, 15:22:36 time: 0.2896 data_time: 0.0188 memory: 6334 grad_norm: 2.8354 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8216 loss: 2.8216 2022/08/14 20:41:22 - mmengine - INFO - Epoch(train) [124][300/3757] lr: 5.3066e-02 eta: 1 day, 15:22:08 time: 0.2888 data_time: 0.0191 memory: 6334 grad_norm: 2.7613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7844 loss: 2.7844 2022/08/14 20:41:50 - mmengine - INFO - Epoch(train) [124][400/3757] lr: 5.3066e-02 eta: 1 day, 15:21:40 time: 0.2857 data_time: 0.0188 memory: 6334 grad_norm: 2.7997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0371 loss: 3.0371 2022/08/14 20:42:20 - mmengine - INFO - Epoch(train) [124][500/3757] lr: 5.3066e-02 eta: 1 day, 15:21:12 time: 0.3103 data_time: 0.0183 memory: 6334 grad_norm: 2.7989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7236 loss: 2.7236 2022/08/14 20:42:49 - mmengine - INFO - Epoch(train) [124][600/3757] lr: 5.3066e-02 eta: 1 day, 15:20:44 time: 0.2884 data_time: 0.0204 memory: 6334 grad_norm: 2.7683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6364 loss: 2.6364 2022/08/14 20:43:18 - mmengine - INFO - Epoch(train) [124][700/3757] lr: 5.3066e-02 eta: 1 day, 15:20:16 time: 0.2851 data_time: 0.0184 memory: 6334 grad_norm: 2.7998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7354 loss: 2.7354 2022/08/14 20:43:46 - mmengine - INFO - Epoch(train) [124][800/3757] lr: 5.3066e-02 eta: 1 day, 15:19:48 time: 0.2857 data_time: 0.0169 memory: 6334 grad_norm: 2.8204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8304 loss: 2.8304 2022/08/14 20:44:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:44:15 - mmengine - INFO - Epoch(train) [124][900/3757] lr: 5.3066e-02 eta: 1 day, 15:19:20 time: 0.2854 data_time: 0.0181 memory: 6334 grad_norm: 2.7863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6606 loss: 2.6606 2022/08/14 20:44:44 - mmengine - INFO - Epoch(train) [124][1000/3757] lr: 5.3066e-02 eta: 1 day, 15:18:52 time: 0.2851 data_time: 0.0189 memory: 6334 grad_norm: 2.7701 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1120 loss: 3.1120 2022/08/14 20:45:13 - mmengine - INFO - Epoch(train) [124][1100/3757] lr: 5.3066e-02 eta: 1 day, 15:18:24 time: 0.2862 data_time: 0.0179 memory: 6334 grad_norm: 2.7755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8466 loss: 2.8466 2022/08/14 20:45:42 - mmengine - INFO - Epoch(train) [124][1200/3757] lr: 5.3066e-02 eta: 1 day, 15:17:56 time: 0.2931 data_time: 0.0193 memory: 6334 grad_norm: 2.8484 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5857 loss: 2.5857 2022/08/14 20:46:11 - mmengine - INFO - Epoch(train) [124][1300/3757] lr: 5.3066e-02 eta: 1 day, 15:17:28 time: 0.2854 data_time: 0.0182 memory: 6334 grad_norm: 2.7711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9510 loss: 2.9510 2022/08/14 20:46:40 - mmengine - INFO - Epoch(train) [124][1400/3757] lr: 5.3066e-02 eta: 1 day, 15:17:00 time: 0.2873 data_time: 0.0176 memory: 6334 grad_norm: 2.7911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7848 loss: 2.7848 2022/08/14 20:47:09 - mmengine - INFO - Epoch(train) [124][1500/3757] lr: 5.3066e-02 eta: 1 day, 15:16:32 time: 0.2857 data_time: 0.0190 memory: 6334 grad_norm: 2.7973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8105 loss: 2.8105 2022/08/14 20:47:37 - mmengine - INFO - Epoch(train) [124][1600/3757] lr: 5.3066e-02 eta: 1 day, 15:16:04 time: 0.2855 data_time: 0.0200 memory: 6334 grad_norm: 2.8824 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9381 loss: 2.9381 2022/08/14 20:48:06 - mmengine - INFO - Epoch(train) [124][1700/3757] lr: 5.3066e-02 eta: 1 day, 15:15:36 time: 0.2858 data_time: 0.0181 memory: 6334 grad_norm: 2.7445 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8825 loss: 2.8825 2022/08/14 20:48:35 - mmengine - INFO - Epoch(train) [124][1800/3757] lr: 5.3066e-02 eta: 1 day, 15:15:08 time: 0.2848 data_time: 0.0186 memory: 6334 grad_norm: 2.8599 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0270 loss: 3.0270 2022/08/14 20:49:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:49:04 - mmengine - INFO - Epoch(train) [124][1900/3757] lr: 5.3066e-02 eta: 1 day, 15:14:40 time: 0.2894 data_time: 0.0187 memory: 6334 grad_norm: 2.8792 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9954 loss: 2.9954 2022/08/14 20:49:33 - mmengine - INFO - Epoch(train) [124][2000/3757] lr: 5.3066e-02 eta: 1 day, 15:14:12 time: 0.2862 data_time: 0.0178 memory: 6334 grad_norm: 2.8329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7931 loss: 2.7931 2022/08/14 20:50:02 - mmengine - INFO - Epoch(train) [124][2100/3757] lr: 5.3066e-02 eta: 1 day, 15:13:44 time: 0.2891 data_time: 0.0193 memory: 6334 grad_norm: 2.8156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7332 loss: 2.7332 2022/08/14 20:50:31 - mmengine - INFO - Epoch(train) [124][2200/3757] lr: 5.3066e-02 eta: 1 day, 15:13:16 time: 0.2858 data_time: 0.0178 memory: 6334 grad_norm: 2.7416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9950 loss: 2.9950 2022/08/14 20:51:00 - mmengine - INFO - Epoch(train) [124][2300/3757] lr: 5.3066e-02 eta: 1 day, 15:12:48 time: 0.2863 data_time: 0.0183 memory: 6334 grad_norm: 2.8102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6869 loss: 2.6869 2022/08/14 20:51:29 - mmengine - INFO - Epoch(train) [124][2400/3757] lr: 5.3066e-02 eta: 1 day, 15:12:20 time: 0.2846 data_time: 0.0179 memory: 6334 grad_norm: 2.8619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0581 loss: 3.0581 2022/08/14 20:51:57 - mmengine - INFO - Epoch(train) [124][2500/3757] lr: 5.3066e-02 eta: 1 day, 15:11:52 time: 0.2878 data_time: 0.0188 memory: 6334 grad_norm: 2.8931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8183 loss: 2.8183 2022/08/14 20:52:26 - mmengine - INFO - Epoch(train) [124][2600/3757] lr: 5.3066e-02 eta: 1 day, 15:11:24 time: 0.2855 data_time: 0.0182 memory: 6334 grad_norm: 2.7264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6626 loss: 2.6626 2022/08/14 20:52:55 - mmengine - INFO - Epoch(train) [124][2700/3757] lr: 5.3066e-02 eta: 1 day, 15:10:56 time: 0.2861 data_time: 0.0188 memory: 6334 grad_norm: 2.7629 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8998 loss: 2.8998 2022/08/14 20:53:24 - mmengine - INFO - Epoch(train) [124][2800/3757] lr: 5.3066e-02 eta: 1 day, 15:10:28 time: 0.2861 data_time: 0.0196 memory: 6334 grad_norm: 2.7957 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9226 loss: 2.9226 2022/08/14 20:53:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:53:53 - mmengine - INFO - Epoch(train) [124][2900/3757] lr: 5.3066e-02 eta: 1 day, 15:10:00 time: 0.2874 data_time: 0.0190 memory: 6334 grad_norm: 2.7567 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7370 loss: 2.7370 2022/08/14 20:54:22 - mmengine - INFO - Epoch(train) [124][3000/3757] lr: 5.3066e-02 eta: 1 day, 15:09:32 time: 0.2872 data_time: 0.0191 memory: 6334 grad_norm: 2.8058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6396 loss: 2.6396 2022/08/14 20:54:51 - mmengine - INFO - Epoch(train) [124][3100/3757] lr: 5.3066e-02 eta: 1 day, 15:09:04 time: 0.2900 data_time: 0.0205 memory: 6334 grad_norm: 2.8179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2051 loss: 3.2051 2022/08/14 20:55:20 - mmengine - INFO - Epoch(train) [124][3200/3757] lr: 5.3066e-02 eta: 1 day, 15:08:36 time: 0.2861 data_time: 0.0181 memory: 6334 grad_norm: 2.7873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8515 loss: 2.8515 2022/08/14 20:55:49 - mmengine - INFO - Epoch(train) [124][3300/3757] lr: 5.3066e-02 eta: 1 day, 15:08:08 time: 0.2855 data_time: 0.0187 memory: 6334 grad_norm: 2.8302 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7038 loss: 2.7038 2022/08/14 20:56:17 - mmengine - INFO - Epoch(train) [124][3400/3757] lr: 5.3066e-02 eta: 1 day, 15:07:40 time: 0.2851 data_time: 0.0183 memory: 6334 grad_norm: 2.7725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/08/14 20:56:46 - mmengine - INFO - Epoch(train) [124][3500/3757] lr: 5.3066e-02 eta: 1 day, 15:07:12 time: 0.2860 data_time: 0.0187 memory: 6334 grad_norm: 2.8057 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0240 loss: 3.0240 2022/08/14 20:57:15 - mmengine - INFO - Epoch(train) [124][3600/3757] lr: 5.3066e-02 eta: 1 day, 15:06:44 time: 0.2907 data_time: 0.0192 memory: 6334 grad_norm: 2.7338 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8102 loss: 2.8102 2022/08/14 20:57:44 - mmengine - INFO - Epoch(train) [124][3700/3757] lr: 5.3066e-02 eta: 1 day, 15:06:16 time: 0.2891 data_time: 0.0194 memory: 6334 grad_norm: 2.7535 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8528 loss: 2.8528 2022/08/14 20:58:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:58:00 - mmengine - INFO - Epoch(train) [124][3757/3757] lr: 5.3066e-02 eta: 1 day, 15:06:05 time: 0.2657 data_time: 0.0151 memory: 6334 grad_norm: 2.7903 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.8748 loss: 2.8748 2022/08/14 20:58:00 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/14 20:58:34 - mmengine - INFO - Epoch(train) [125][100/3757] lr: 5.2453e-02 eta: 1 day, 15:05:28 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.7978 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9130 loss: 2.9130 2022/08/14 20:58:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 20:59:03 - mmengine - INFO - Epoch(train) [125][200/3757] lr: 5.2453e-02 eta: 1 day, 15:05:00 time: 0.2857 data_time: 0.0191 memory: 6334 grad_norm: 2.7808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7032 loss: 2.7032 2022/08/14 20:59:32 - mmengine - INFO - Epoch(train) [125][300/3757] lr: 5.2453e-02 eta: 1 day, 15:04:32 time: 0.2860 data_time: 0.0187 memory: 6334 grad_norm: 2.7753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7952 loss: 2.7952 2022/08/14 21:00:00 - mmengine - INFO - Epoch(train) [125][400/3757] lr: 5.2453e-02 eta: 1 day, 15:04:04 time: 0.2850 data_time: 0.0184 memory: 6334 grad_norm: 2.8560 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6525 loss: 2.6525 2022/08/14 21:00:29 - mmengine - INFO - Epoch(train) [125][500/3757] lr: 5.2453e-02 eta: 1 day, 15:03:36 time: 0.2863 data_time: 0.0187 memory: 6334 grad_norm: 2.7842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5946 loss: 2.5946 2022/08/14 21:00:58 - mmengine - INFO - Epoch(train) [125][600/3757] lr: 5.2453e-02 eta: 1 day, 15:03:08 time: 0.2887 data_time: 0.0186 memory: 6334 grad_norm: 2.7626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8651 loss: 2.8651 2022/08/14 21:01:27 - mmengine - INFO - Epoch(train) [125][700/3757] lr: 5.2453e-02 eta: 1 day, 15:02:40 time: 0.2872 data_time: 0.0194 memory: 6334 grad_norm: 2.8514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7555 loss: 2.7555 2022/08/14 21:01:56 - mmengine - INFO - Epoch(train) [125][800/3757] lr: 5.2453e-02 eta: 1 day, 15:02:12 time: 0.2853 data_time: 0.0180 memory: 6334 grad_norm: 2.7868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7791 loss: 2.7791 2022/08/14 21:02:25 - mmengine - INFO - Epoch(train) [125][900/3757] lr: 5.2453e-02 eta: 1 day, 15:01:44 time: 0.2843 data_time: 0.0181 memory: 6334 grad_norm: 2.7629 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7569 loss: 2.7569 2022/08/14 21:02:54 - mmengine - INFO - Epoch(train) [125][1000/3757] lr: 5.2453e-02 eta: 1 day, 15:01:16 time: 0.2879 data_time: 0.0193 memory: 6334 grad_norm: 2.7975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7958 loss: 2.7958 2022/08/14 21:03:23 - mmengine - INFO - Epoch(train) [125][1100/3757] lr: 5.2453e-02 eta: 1 day, 15:00:48 time: 0.2868 data_time: 0.0180 memory: 6334 grad_norm: 2.7241 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8383 loss: 2.8383 2022/08/14 21:03:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:03:52 - mmengine - INFO - Epoch(train) [125][1200/3757] lr: 5.2453e-02 eta: 1 day, 15:00:20 time: 0.2885 data_time: 0.0192 memory: 6334 grad_norm: 2.8278 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8422 loss: 2.8422 2022/08/14 21:04:20 - mmengine - INFO - Epoch(train) [125][1300/3757] lr: 5.2453e-02 eta: 1 day, 14:59:52 time: 0.2847 data_time: 0.0186 memory: 6334 grad_norm: 2.8546 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8874 loss: 2.8874 2022/08/14 21:04:49 - mmengine - INFO - Epoch(train) [125][1400/3757] lr: 5.2453e-02 eta: 1 day, 14:59:24 time: 0.2867 data_time: 0.0188 memory: 6334 grad_norm: 2.8557 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7484 loss: 2.7484 2022/08/14 21:05:18 - mmengine - INFO - Epoch(train) [125][1500/3757] lr: 5.2453e-02 eta: 1 day, 14:58:56 time: 0.2856 data_time: 0.0191 memory: 6334 grad_norm: 2.8231 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6342 loss: 2.6342 2022/08/14 21:05:47 - mmengine - INFO - Epoch(train) [125][1600/3757] lr: 5.2453e-02 eta: 1 day, 14:58:28 time: 0.2845 data_time: 0.0181 memory: 6334 grad_norm: 2.9085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6100 loss: 2.6100 2022/08/14 21:06:16 - mmengine - INFO - Epoch(train) [125][1700/3757] lr: 5.2453e-02 eta: 1 day, 14:58:00 time: 0.2880 data_time: 0.0205 memory: 6334 grad_norm: 2.7942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7970 loss: 2.7970 2022/08/14 21:06:45 - mmengine - INFO - Epoch(train) [125][1800/3757] lr: 5.2453e-02 eta: 1 day, 14:57:32 time: 0.2879 data_time: 0.0197 memory: 6334 grad_norm: 2.9099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1460 loss: 3.1460 2022/08/14 21:07:14 - mmengine - INFO - Epoch(train) [125][1900/3757] lr: 5.2453e-02 eta: 1 day, 14:57:04 time: 0.2847 data_time: 0.0180 memory: 6334 grad_norm: 2.7732 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9730 loss: 2.9730 2022/08/14 21:07:43 - mmengine - INFO - Epoch(train) [125][2000/3757] lr: 5.2453e-02 eta: 1 day, 14:56:36 time: 0.2905 data_time: 0.0197 memory: 6334 grad_norm: 2.8479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8648 loss: 2.8648 2022/08/14 21:08:12 - mmengine - INFO - Epoch(train) [125][2100/3757] lr: 5.2453e-02 eta: 1 day, 14:56:08 time: 0.2854 data_time: 0.0175 memory: 6334 grad_norm: 2.7419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6627 loss: 2.6627 2022/08/14 21:08:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:08:41 - mmengine - INFO - Epoch(train) [125][2200/3757] lr: 5.2453e-02 eta: 1 day, 14:55:41 time: 0.2888 data_time: 0.0183 memory: 6334 grad_norm: 2.7485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8169 loss: 2.8169 2022/08/14 21:09:10 - mmengine - INFO - Epoch(train) [125][2300/3757] lr: 5.2453e-02 eta: 1 day, 14:55:13 time: 0.2866 data_time: 0.0205 memory: 6334 grad_norm: 2.8250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9794 loss: 2.9794 2022/08/14 21:09:39 - mmengine - INFO - Epoch(train) [125][2400/3757] lr: 5.2453e-02 eta: 1 day, 14:54:45 time: 0.2859 data_time: 0.0183 memory: 6334 grad_norm: 2.7599 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9139 loss: 2.9139 2022/08/14 21:10:08 - mmengine - INFO - Epoch(train) [125][2500/3757] lr: 5.2453e-02 eta: 1 day, 14:54:17 time: 0.2895 data_time: 0.0202 memory: 6334 grad_norm: 2.8161 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.8601 loss: 2.8601 2022/08/14 21:10:36 - mmengine - INFO - Epoch(train) [125][2600/3757] lr: 5.2453e-02 eta: 1 day, 14:53:48 time: 0.2864 data_time: 0.0185 memory: 6334 grad_norm: 2.9536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9819 loss: 2.9819 2022/08/14 21:11:05 - mmengine - INFO - Epoch(train) [125][2700/3757] lr: 5.2453e-02 eta: 1 day, 14:53:21 time: 0.2933 data_time: 0.0185 memory: 6334 grad_norm: 2.7605 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8297 loss: 2.8297 2022/08/14 21:11:34 - mmengine - INFO - Epoch(train) [125][2800/3757] lr: 5.2453e-02 eta: 1 day, 14:52:53 time: 0.2869 data_time: 0.0199 memory: 6334 grad_norm: 2.8415 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6977 loss: 2.6977 2022/08/14 21:12:03 - mmengine - INFO - Epoch(train) [125][2900/3757] lr: 5.2453e-02 eta: 1 day, 14:52:25 time: 0.2880 data_time: 0.0177 memory: 6334 grad_norm: 2.7238 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7471 loss: 2.7471 2022/08/14 21:12:32 - mmengine - INFO - Epoch(train) [125][3000/3757] lr: 5.2453e-02 eta: 1 day, 14:51:57 time: 0.2871 data_time: 0.0211 memory: 6334 grad_norm: 2.8439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1455 loss: 3.1455 2022/08/14 21:13:01 - mmengine - INFO - Epoch(train) [125][3100/3757] lr: 5.2453e-02 eta: 1 day, 14:51:29 time: 0.2870 data_time: 0.0181 memory: 6334 grad_norm: 2.9732 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9525 loss: 2.9525 2022/08/14 21:13:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:13:30 - mmengine - INFO - Epoch(train) [125][3200/3757] lr: 5.2453e-02 eta: 1 day, 14:51:01 time: 0.2858 data_time: 0.0176 memory: 6334 grad_norm: 2.8444 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7176 loss: 2.7176 2022/08/14 21:13:59 - mmengine - INFO - Epoch(train) [125][3300/3757] lr: 5.2453e-02 eta: 1 day, 14:50:33 time: 0.2844 data_time: 0.0191 memory: 6334 grad_norm: 2.8798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5961 loss: 2.5961 2022/08/14 21:14:28 - mmengine - INFO - Epoch(train) [125][3400/3757] lr: 5.2453e-02 eta: 1 day, 14:50:05 time: 0.2897 data_time: 0.0196 memory: 6334 grad_norm: 2.8117 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6973 loss: 2.6973 2022/08/14 21:14:57 - mmengine - INFO - Epoch(train) [125][3500/3757] lr: 5.2453e-02 eta: 1 day, 14:49:37 time: 0.2879 data_time: 0.0187 memory: 6334 grad_norm: 2.8381 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7450 loss: 2.7450 2022/08/14 21:15:25 - mmengine - INFO - Epoch(train) [125][3600/3757] lr: 5.2453e-02 eta: 1 day, 14:49:09 time: 0.2876 data_time: 0.0189 memory: 6334 grad_norm: 2.8200 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9948 loss: 2.9948 2022/08/14 21:15:54 - mmengine - INFO - Epoch(train) [125][3700/3757] lr: 5.2453e-02 eta: 1 day, 14:48:41 time: 0.2855 data_time: 0.0177 memory: 6334 grad_norm: 2.7932 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7817 loss: 2.7817 2022/08/14 21:16:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:16:10 - mmengine - INFO - Epoch(train) [125][3757/3757] lr: 5.2453e-02 eta: 1 day, 14:48:30 time: 0.2638 data_time: 0.0156 memory: 6334 grad_norm: 2.7857 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.8127 loss: 2.8127 2022/08/14 21:16:33 - mmengine - INFO - Epoch(val) [125][100/310] eta: 0:00:49 time: 0.2340 data_time: 0.1401 memory: 1152 2022/08/14 21:16:54 - mmengine - INFO - Epoch(val) [125][200/310] eta: 0:00:19 time: 0.1760 data_time: 0.0765 memory: 1152 2022/08/14 21:17:15 - mmengine - INFO - Epoch(val) [125][300/310] eta: 0:00:02 time: 0.2086 data_time: 0.1101 memory: 1152 2022/08/14 21:17:19 - mmengine - INFO - Epoch(val) [125][310/310] acc/top1: 0.4450 acc/top5: 0.7248 acc/mean1: 0.4449 2022/08/14 21:17:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_116.pth is removed 2022/08/14 21:17:22 - mmengine - INFO - The best checkpoint with 0.4450 acc/top1 at 126 epoch is saved to best_acc/top1_epoch_126.pth. 2022/08/14 21:17:52 - mmengine - INFO - Epoch(train) [126][100/3757] lr: 5.1840e-02 eta: 1 day, 14:47:53 time: 0.2883 data_time: 0.0184 memory: 6334 grad_norm: 2.8750 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9150 loss: 2.9150 2022/08/14 21:18:21 - mmengine - INFO - Epoch(train) [126][200/3757] lr: 5.1840e-02 eta: 1 day, 14:47:25 time: 0.2878 data_time: 0.0181 memory: 6334 grad_norm: 2.8144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7123 loss: 2.7123 2022/08/14 21:18:50 - mmengine - INFO - Epoch(train) [126][300/3757] lr: 5.1840e-02 eta: 1 day, 14:46:57 time: 0.2849 data_time: 0.0185 memory: 6334 grad_norm: 2.8486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7411 loss: 2.7411 2022/08/14 21:19:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:19:19 - mmengine - INFO - Epoch(train) [126][400/3757] lr: 5.1840e-02 eta: 1 day, 14:46:29 time: 0.2853 data_time: 0.0186 memory: 6334 grad_norm: 2.8741 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4336 loss: 2.4336 2022/08/14 21:19:48 - mmengine - INFO - Epoch(train) [126][500/3757] lr: 5.1840e-02 eta: 1 day, 14:46:01 time: 0.2890 data_time: 0.0182 memory: 6334 grad_norm: 2.9414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1886 loss: 3.1886 2022/08/14 21:20:16 - mmengine - INFO - Epoch(train) [126][600/3757] lr: 5.1840e-02 eta: 1 day, 14:45:33 time: 0.2854 data_time: 0.0181 memory: 6334 grad_norm: 2.8318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8546 loss: 2.8546 2022/08/14 21:20:45 - mmengine - INFO - Epoch(train) [126][700/3757] lr: 5.1840e-02 eta: 1 day, 14:45:05 time: 0.2919 data_time: 0.0177 memory: 6334 grad_norm: 2.7772 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9171 loss: 2.9171 2022/08/14 21:21:14 - mmengine - INFO - Epoch(train) [126][800/3757] lr: 5.1840e-02 eta: 1 day, 14:44:37 time: 0.2857 data_time: 0.0176 memory: 6334 grad_norm: 2.8183 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5765 loss: 2.5765 2022/08/14 21:21:43 - mmengine - INFO - Epoch(train) [126][900/3757] lr: 5.1840e-02 eta: 1 day, 14:44:09 time: 0.2857 data_time: 0.0186 memory: 6334 grad_norm: 2.8378 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8780 loss: 2.8780 2022/08/14 21:22:12 - mmengine - INFO - Epoch(train) [126][1000/3757] lr: 5.1840e-02 eta: 1 day, 14:43:41 time: 0.2868 data_time: 0.0196 memory: 6334 grad_norm: 2.8535 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5717 loss: 2.5717 2022/08/14 21:22:41 - mmengine - INFO - Epoch(train) [126][1100/3757] lr: 5.1840e-02 eta: 1 day, 14:43:13 time: 0.2884 data_time: 0.0183 memory: 6334 grad_norm: 2.7952 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7291 loss: 2.7291 2022/08/14 21:23:10 - mmengine - INFO - Epoch(train) [126][1200/3757] lr: 5.1840e-02 eta: 1 day, 14:42:45 time: 0.2871 data_time: 0.0190 memory: 6334 grad_norm: 2.8522 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0807 loss: 3.0807 2022/08/14 21:23:39 - mmengine - INFO - Epoch(train) [126][1300/3757] lr: 5.1840e-02 eta: 1 day, 14:42:17 time: 0.2850 data_time: 0.0189 memory: 6334 grad_norm: 2.8730 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7775 loss: 2.7775 2022/08/14 21:24:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:24:07 - mmengine - INFO - Epoch(train) [126][1400/3757] lr: 5.1840e-02 eta: 1 day, 14:41:49 time: 0.2859 data_time: 0.0193 memory: 6334 grad_norm: 2.8427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9551 loss: 2.9551 2022/08/14 21:24:36 - mmengine - INFO - Epoch(train) [126][1500/3757] lr: 5.1840e-02 eta: 1 day, 14:41:21 time: 0.2874 data_time: 0.0186 memory: 6334 grad_norm: 2.8298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2201 loss: 3.2201 2022/08/14 21:25:05 - mmengine - INFO - Epoch(train) [126][1600/3757] lr: 5.1840e-02 eta: 1 day, 14:40:53 time: 0.2865 data_time: 0.0200 memory: 6334 grad_norm: 2.8082 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6932 loss: 2.6932 2022/08/14 21:25:34 - mmengine - INFO - Epoch(train) [126][1700/3757] lr: 5.1840e-02 eta: 1 day, 14:40:25 time: 0.2876 data_time: 0.0189 memory: 6334 grad_norm: 2.7394 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5271 loss: 2.5271 2022/08/14 21:26:03 - mmengine - INFO - Epoch(train) [126][1800/3757] lr: 5.1840e-02 eta: 1 day, 14:39:57 time: 0.2938 data_time: 0.0186 memory: 6334 grad_norm: 2.8460 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5949 loss: 2.5949 2022/08/14 21:26:32 - mmengine - INFO - Epoch(train) [126][1900/3757] lr: 5.1840e-02 eta: 1 day, 14:39:29 time: 0.2850 data_time: 0.0184 memory: 6334 grad_norm: 2.9188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9002 loss: 2.9002 2022/08/14 21:27:01 - mmengine - INFO - Epoch(train) [126][2000/3757] lr: 5.1840e-02 eta: 1 day, 14:39:01 time: 0.2859 data_time: 0.0191 memory: 6334 grad_norm: 2.8211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7689 loss: 2.7689 2022/08/14 21:27:30 - mmengine - INFO - Epoch(train) [126][2100/3757] lr: 5.1840e-02 eta: 1 day, 14:38:33 time: 0.2857 data_time: 0.0191 memory: 6334 grad_norm: 2.8131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8940 loss: 2.8940 2022/08/14 21:27:59 - mmengine - INFO - Epoch(train) [126][2200/3757] lr: 5.1840e-02 eta: 1 day, 14:38:05 time: 0.2864 data_time: 0.0187 memory: 6334 grad_norm: 2.9060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8346 loss: 2.8346 2022/08/14 21:28:28 - mmengine - INFO - Epoch(train) [126][2300/3757] lr: 5.1840e-02 eta: 1 day, 14:37:37 time: 0.2864 data_time: 0.0191 memory: 6334 grad_norm: 2.8745 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7393 loss: 2.7393 2022/08/14 21:28:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:28:57 - mmengine - INFO - Epoch(train) [126][2400/3757] lr: 5.1840e-02 eta: 1 day, 14:37:09 time: 0.2874 data_time: 0.0181 memory: 6334 grad_norm: 2.8346 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8748 loss: 2.8748 2022/08/14 21:29:26 - mmengine - INFO - Epoch(train) [126][2500/3757] lr: 5.1840e-02 eta: 1 day, 14:36:41 time: 0.2876 data_time: 0.0186 memory: 6334 grad_norm: 2.7913 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1688 loss: 3.1688 2022/08/14 21:29:54 - mmengine - INFO - Epoch(train) [126][2600/3757] lr: 5.1840e-02 eta: 1 day, 14:36:13 time: 0.2864 data_time: 0.0166 memory: 6334 grad_norm: 2.7891 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8243 loss: 2.8243 2022/08/14 21:30:23 - mmengine - INFO - Epoch(train) [126][2700/3757] lr: 5.1840e-02 eta: 1 day, 14:35:45 time: 0.2874 data_time: 0.0196 memory: 6334 grad_norm: 2.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8323 loss: 2.8323 2022/08/14 21:30:52 - mmengine - INFO - Epoch(train) [126][2800/3757] lr: 5.1840e-02 eta: 1 day, 14:35:17 time: 0.2857 data_time: 0.0183 memory: 6334 grad_norm: 2.8767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8052 loss: 2.8052 2022/08/14 21:31:21 - mmengine - INFO - Epoch(train) [126][2900/3757] lr: 5.1840e-02 eta: 1 day, 14:34:49 time: 0.2852 data_time: 0.0182 memory: 6334 grad_norm: 2.8109 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7824 loss: 2.7824 2022/08/14 21:31:50 - mmengine - INFO - Epoch(train) [126][3000/3757] lr: 5.1840e-02 eta: 1 day, 14:34:21 time: 0.2867 data_time: 0.0184 memory: 6334 grad_norm: 2.8443 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6749 loss: 2.6749 2022/08/14 21:32:19 - mmengine - INFO - Epoch(train) [126][3100/3757] lr: 5.1840e-02 eta: 1 day, 14:33:53 time: 0.2846 data_time: 0.0191 memory: 6334 grad_norm: 2.8519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5949 loss: 2.5949 2022/08/14 21:32:47 - mmengine - INFO - Epoch(train) [126][3200/3757] lr: 5.1840e-02 eta: 1 day, 14:33:25 time: 0.2854 data_time: 0.0190 memory: 6334 grad_norm: 2.8495 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6284 loss: 2.6284 2022/08/14 21:33:16 - mmengine - INFO - Epoch(train) [126][3300/3757] lr: 5.1840e-02 eta: 1 day, 14:32:57 time: 0.2869 data_time: 0.0202 memory: 6334 grad_norm: 2.7706 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8078 loss: 2.8078 2022/08/14 21:33:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:33:45 - mmengine - INFO - Epoch(train) [126][3400/3757] lr: 5.1840e-02 eta: 1 day, 14:32:29 time: 0.2877 data_time: 0.0186 memory: 6334 grad_norm: 2.8554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5860 loss: 2.5860 2022/08/14 21:34:14 - mmengine - INFO - Epoch(train) [126][3500/3757] lr: 5.1840e-02 eta: 1 day, 14:32:01 time: 0.2857 data_time: 0.0184 memory: 6334 grad_norm: 2.8491 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6261 loss: 2.6261 2022/08/14 21:34:43 - mmengine - INFO - Epoch(train) [126][3600/3757] lr: 5.1840e-02 eta: 1 day, 14:31:33 time: 0.2851 data_time: 0.0183 memory: 6334 grad_norm: 2.8266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7499 loss: 2.7499 2022/08/14 21:35:12 - mmengine - INFO - Epoch(train) [126][3700/3757] lr: 5.1840e-02 eta: 1 day, 14:31:05 time: 0.2867 data_time: 0.0196 memory: 6334 grad_norm: 2.8171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7011 loss: 2.7011 2022/08/14 21:35:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:35:28 - mmengine - INFO - Epoch(train) [126][3757/3757] lr: 5.1840e-02 eta: 1 day, 14:30:53 time: 0.2672 data_time: 0.0155 memory: 6334 grad_norm: 2.8618 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.8098 loss: 2.8098 2022/08/14 21:35:59 - mmengine - INFO - Epoch(train) [127][100/3757] lr: 5.1227e-02 eta: 1 day, 14:30:18 time: 0.2874 data_time: 0.0181 memory: 6334 grad_norm: 2.8024 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6209 loss: 2.6209 2022/08/14 21:36:28 - mmengine - INFO - Epoch(train) [127][200/3757] lr: 5.1227e-02 eta: 1 day, 14:29:50 time: 0.2863 data_time: 0.0197 memory: 6334 grad_norm: 2.8441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1478 loss: 3.1478 2022/08/14 21:36:57 - mmengine - INFO - Epoch(train) [127][300/3757] lr: 5.1227e-02 eta: 1 day, 14:29:22 time: 0.2880 data_time: 0.0193 memory: 6334 grad_norm: 2.9026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8262 loss: 2.8262 2022/08/14 21:37:25 - mmengine - INFO - Epoch(train) [127][400/3757] lr: 5.1227e-02 eta: 1 day, 14:28:53 time: 0.2868 data_time: 0.0195 memory: 6334 grad_norm: 2.8309 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9206 loss: 2.9206 2022/08/14 21:37:54 - mmengine - INFO - Epoch(train) [127][500/3757] lr: 5.1227e-02 eta: 1 day, 14:28:25 time: 0.2876 data_time: 0.0194 memory: 6334 grad_norm: 2.8896 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4782 loss: 2.4782 2022/08/14 21:38:23 - mmengine - INFO - Epoch(train) [127][600/3757] lr: 5.1227e-02 eta: 1 day, 14:27:57 time: 0.2861 data_time: 0.0176 memory: 6334 grad_norm: 2.9268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7646 loss: 2.7646 2022/08/14 21:38:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:38:52 - mmengine - INFO - Epoch(train) [127][700/3757] lr: 5.1227e-02 eta: 1 day, 14:27:29 time: 0.2864 data_time: 0.0181 memory: 6334 grad_norm: 2.8170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6331 loss: 2.6331 2022/08/14 21:39:21 - mmengine - INFO - Epoch(train) [127][800/3757] lr: 5.1227e-02 eta: 1 day, 14:27:01 time: 0.2862 data_time: 0.0183 memory: 6334 grad_norm: 2.8508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8010 loss: 2.8010 2022/08/14 21:39:50 - mmengine - INFO - Epoch(train) [127][900/3757] lr: 5.1227e-02 eta: 1 day, 14:26:33 time: 0.2865 data_time: 0.0205 memory: 6334 grad_norm: 2.7843 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8401 loss: 2.8401 2022/08/14 21:40:19 - mmengine - INFO - Epoch(train) [127][1000/3757] lr: 5.1227e-02 eta: 1 day, 14:26:05 time: 0.2895 data_time: 0.0198 memory: 6334 grad_norm: 2.8472 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8605 loss: 2.8605 2022/08/14 21:40:48 - mmengine - INFO - Epoch(train) [127][1100/3757] lr: 5.1227e-02 eta: 1 day, 14:25:37 time: 0.2878 data_time: 0.0202 memory: 6334 grad_norm: 2.8091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3831 loss: 2.3831 2022/08/14 21:41:17 - mmengine - INFO - Epoch(train) [127][1200/3757] lr: 5.1227e-02 eta: 1 day, 14:25:09 time: 0.2874 data_time: 0.0190 memory: 6334 grad_norm: 2.7142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8928 loss: 2.8928 2022/08/14 21:41:45 - mmengine - INFO - Epoch(train) [127][1300/3757] lr: 5.1227e-02 eta: 1 day, 14:24:41 time: 0.2849 data_time: 0.0179 memory: 6334 grad_norm: 2.8677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5495 loss: 2.5495 2022/08/14 21:42:14 - mmengine - INFO - Epoch(train) [127][1400/3757] lr: 5.1227e-02 eta: 1 day, 14:24:13 time: 0.2843 data_time: 0.0186 memory: 6334 grad_norm: 2.8145 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8214 loss: 2.8214 2022/08/14 21:42:43 - mmengine - INFO - Epoch(train) [127][1500/3757] lr: 5.1227e-02 eta: 1 day, 14:23:45 time: 0.2857 data_time: 0.0180 memory: 6334 grad_norm: 2.9216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7658 loss: 2.7658 2022/08/14 21:43:12 - mmengine - INFO - Epoch(train) [127][1600/3757] lr: 5.1227e-02 eta: 1 day, 14:23:17 time: 0.2866 data_time: 0.0193 memory: 6334 grad_norm: 2.7971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5087 loss: 2.5087 2022/08/14 21:43:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:43:41 - mmengine - INFO - Epoch(train) [127][1700/3757] lr: 5.1227e-02 eta: 1 day, 14:22:49 time: 0.2866 data_time: 0.0180 memory: 6334 grad_norm: 2.8736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7356 loss: 2.7356 2022/08/14 21:44:10 - mmengine - INFO - Epoch(train) [127][1800/3757] lr: 5.1227e-02 eta: 1 day, 14:22:21 time: 0.2856 data_time: 0.0188 memory: 6334 grad_norm: 2.8880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1336 loss: 3.1336 2022/08/14 21:44:39 - mmengine - INFO - Epoch(train) [127][1900/3757] lr: 5.1227e-02 eta: 1 day, 14:21:53 time: 0.2890 data_time: 0.0189 memory: 6334 grad_norm: 2.8645 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8921 loss: 2.8921 2022/08/14 21:45:08 - mmengine - INFO - Epoch(train) [127][2000/3757] lr: 5.1227e-02 eta: 1 day, 14:21:25 time: 0.2856 data_time: 0.0184 memory: 6334 grad_norm: 2.8120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5802 loss: 2.5802 2022/08/14 21:45:37 - mmengine - INFO - Epoch(train) [127][2100/3757] lr: 5.1227e-02 eta: 1 day, 14:20:57 time: 0.2866 data_time: 0.0190 memory: 6334 grad_norm: 2.7805 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8497 loss: 2.8497 2022/08/14 21:46:06 - mmengine - INFO - Epoch(train) [127][2200/3757] lr: 5.1227e-02 eta: 1 day, 14:20:29 time: 0.2925 data_time: 0.0177 memory: 6334 grad_norm: 2.8095 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9571 loss: 2.9571 2022/08/14 21:46:35 - mmengine - INFO - Epoch(train) [127][2300/3757] lr: 5.1227e-02 eta: 1 day, 14:20:02 time: 0.2938 data_time: 0.0191 memory: 6334 grad_norm: 2.7603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6508 loss: 2.6508 2022/08/14 21:47:04 - mmengine - INFO - Epoch(train) [127][2400/3757] lr: 5.1227e-02 eta: 1 day, 14:19:34 time: 0.2892 data_time: 0.0196 memory: 6334 grad_norm: 2.8893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9698 loss: 2.9698 2022/08/14 21:47:32 - mmengine - INFO - Epoch(train) [127][2500/3757] lr: 5.1227e-02 eta: 1 day, 14:19:05 time: 0.2842 data_time: 0.0188 memory: 6334 grad_norm: 2.8217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5457 loss: 2.5457 2022/08/14 21:48:01 - mmengine - INFO - Epoch(train) [127][2600/3757] lr: 5.1227e-02 eta: 1 day, 14:18:37 time: 0.2871 data_time: 0.0191 memory: 6334 grad_norm: 2.8188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8081 loss: 2.8081 2022/08/14 21:48:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:48:30 - mmengine - INFO - Epoch(train) [127][2700/3757] lr: 5.1227e-02 eta: 1 day, 14:18:09 time: 0.2877 data_time: 0.0189 memory: 6334 grad_norm: 2.8924 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6568 loss: 2.6568 2022/08/14 21:48:59 - mmengine - INFO - Epoch(train) [127][2800/3757] lr: 5.1227e-02 eta: 1 day, 14:17:41 time: 0.2926 data_time: 0.0190 memory: 6334 grad_norm: 2.8638 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6807 loss: 2.6807 2022/08/14 21:49:28 - mmengine - INFO - Epoch(train) [127][2900/3757] lr: 5.1227e-02 eta: 1 day, 14:17:13 time: 0.2876 data_time: 0.0195 memory: 6334 grad_norm: 2.8865 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9886 loss: 2.9886 2022/08/14 21:49:57 - mmengine - INFO - Epoch(train) [127][3000/3757] lr: 5.1227e-02 eta: 1 day, 14:16:46 time: 0.2905 data_time: 0.0209 memory: 6334 grad_norm: 2.8479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6738 loss: 2.6738 2022/08/14 21:50:26 - mmengine - INFO - Epoch(train) [127][3100/3757] lr: 5.1227e-02 eta: 1 day, 14:16:18 time: 0.2865 data_time: 0.0188 memory: 6334 grad_norm: 2.7717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6506 loss: 2.6506 2022/08/14 21:50:55 - mmengine - INFO - Epoch(train) [127][3200/3757] lr: 5.1227e-02 eta: 1 day, 14:15:50 time: 0.2895 data_time: 0.0204 memory: 6334 grad_norm: 2.7898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9937 loss: 2.9937 2022/08/14 21:51:24 - mmengine - INFO - Epoch(train) [127][3300/3757] lr: 5.1227e-02 eta: 1 day, 14:15:22 time: 0.2875 data_time: 0.0188 memory: 6334 grad_norm: 2.8376 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7949 loss: 2.7949 2022/08/14 21:51:53 - mmengine - INFO - Epoch(train) [127][3400/3757] lr: 5.1227e-02 eta: 1 day, 14:14:54 time: 0.2862 data_time: 0.0191 memory: 6334 grad_norm: 2.8314 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9079 loss: 2.9079 2022/08/14 21:52:22 - mmengine - INFO - Epoch(train) [127][3500/3757] lr: 5.1227e-02 eta: 1 day, 14:14:26 time: 0.2881 data_time: 0.0189 memory: 6334 grad_norm: 2.8325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9499 loss: 2.9499 2022/08/14 21:52:51 - mmengine - INFO - Epoch(train) [127][3600/3757] lr: 5.1227e-02 eta: 1 day, 14:13:58 time: 0.2885 data_time: 0.0200 memory: 6334 grad_norm: 2.7897 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9012 loss: 2.9012 2022/08/14 21:52:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:53:20 - mmengine - INFO - Epoch(train) [127][3700/3757] lr: 5.1227e-02 eta: 1 day, 14:13:30 time: 0.2855 data_time: 0.0183 memory: 6334 grad_norm: 2.8852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7439 loss: 2.7439 2022/08/14 21:53:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:53:36 - mmengine - INFO - Epoch(train) [127][3757/3757] lr: 5.1227e-02 eta: 1 day, 14:13:18 time: 0.2674 data_time: 0.0165 memory: 6334 grad_norm: 2.9014 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8747 loss: 2.8747 2022/08/14 21:54:08 - mmengine - INFO - Epoch(train) [128][100/3757] lr: 5.0614e-02 eta: 1 day, 14:12:44 time: 0.2863 data_time: 0.0180 memory: 6334 grad_norm: 2.9125 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1230 loss: 3.1230 2022/08/14 21:54:37 - mmengine - INFO - Epoch(train) [128][200/3757] lr: 5.0614e-02 eta: 1 day, 14:12:16 time: 0.2871 data_time: 0.0185 memory: 6334 grad_norm: 2.9773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7819 loss: 2.7819 2022/08/14 21:55:06 - mmengine - INFO - Epoch(train) [128][300/3757] lr: 5.0614e-02 eta: 1 day, 14:11:48 time: 0.2856 data_time: 0.0197 memory: 6334 grad_norm: 2.8161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6680 loss: 2.6680 2022/08/14 21:55:35 - mmengine - INFO - Epoch(train) [128][400/3757] lr: 5.0614e-02 eta: 1 day, 14:11:20 time: 0.2874 data_time: 0.0199 memory: 6334 grad_norm: 2.9019 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7996 loss: 2.7996 2022/08/14 21:56:03 - mmengine - INFO - Epoch(train) [128][500/3757] lr: 5.0614e-02 eta: 1 day, 14:10:52 time: 0.2862 data_time: 0.0187 memory: 6334 grad_norm: 2.7749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7516 loss: 2.7516 2022/08/14 21:56:32 - mmengine - INFO - Epoch(train) [128][600/3757] lr: 5.0614e-02 eta: 1 day, 14:10:24 time: 0.2849 data_time: 0.0186 memory: 6334 grad_norm: 2.8535 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6696 loss: 2.6696 2022/08/14 21:57:01 - mmengine - INFO - Epoch(train) [128][700/3757] lr: 5.0614e-02 eta: 1 day, 14:09:55 time: 0.2854 data_time: 0.0188 memory: 6334 grad_norm: 2.8243 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8546 loss: 2.8546 2022/08/14 21:57:30 - mmengine - INFO - Epoch(train) [128][800/3757] lr: 5.0614e-02 eta: 1 day, 14:09:27 time: 0.2913 data_time: 0.0197 memory: 6334 grad_norm: 2.8801 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8611 loss: 2.8611 2022/08/14 21:57:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 21:57:59 - mmengine - INFO - Epoch(train) [128][900/3757] lr: 5.0614e-02 eta: 1 day, 14:08:59 time: 0.2874 data_time: 0.0193 memory: 6334 grad_norm: 2.7904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5140 loss: 2.5140 2022/08/14 21:58:28 - mmengine - INFO - Epoch(train) [128][1000/3757] lr: 5.0614e-02 eta: 1 day, 14:08:32 time: 0.2859 data_time: 0.0186 memory: 6334 grad_norm: 2.9047 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7080 loss: 2.7080 2022/08/14 21:58:57 - mmengine - INFO - Epoch(train) [128][1100/3757] lr: 5.0614e-02 eta: 1 day, 14:08:03 time: 0.2872 data_time: 0.0181 memory: 6334 grad_norm: 2.8877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0468 loss: 3.0468 2022/08/14 21:59:26 - mmengine - INFO - Epoch(train) [128][1200/3757] lr: 5.0614e-02 eta: 1 day, 14:07:35 time: 0.2866 data_time: 0.0178 memory: 6334 grad_norm: 2.8009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4828 loss: 2.4828 2022/08/14 21:59:54 - mmengine - INFO - Epoch(train) [128][1300/3757] lr: 5.0614e-02 eta: 1 day, 14:07:07 time: 0.2863 data_time: 0.0179 memory: 6334 grad_norm: 2.8343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2204 loss: 3.2204 2022/08/14 22:00:23 - mmengine - INFO - Epoch(train) [128][1400/3757] lr: 5.0614e-02 eta: 1 day, 14:06:39 time: 0.2860 data_time: 0.0184 memory: 6334 grad_norm: 2.8167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5582 loss: 2.5582 2022/08/14 22:00:52 - mmengine - INFO - Epoch(train) [128][1500/3757] lr: 5.0614e-02 eta: 1 day, 14:06:11 time: 0.2866 data_time: 0.0186 memory: 6334 grad_norm: 2.8612 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9347 loss: 2.9347 2022/08/14 22:01:21 - mmengine - INFO - Epoch(train) [128][1600/3757] lr: 5.0614e-02 eta: 1 day, 14:05:43 time: 0.2859 data_time: 0.0181 memory: 6334 grad_norm: 2.8969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5341 loss: 2.5341 2022/08/14 22:01:50 - mmengine - INFO - Epoch(train) [128][1700/3757] lr: 5.0614e-02 eta: 1 day, 14:05:15 time: 0.2920 data_time: 0.0237 memory: 6334 grad_norm: 2.8858 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8514 loss: 2.8514 2022/08/14 22:02:19 - mmengine - INFO - Epoch(train) [128][1800/3757] lr: 5.0614e-02 eta: 1 day, 14:04:47 time: 0.2947 data_time: 0.0198 memory: 6334 grad_norm: 2.8195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9380 loss: 2.9380 2022/08/14 22:02:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:02:48 - mmengine - INFO - Epoch(train) [128][1900/3757] lr: 5.0614e-02 eta: 1 day, 14:04:19 time: 0.2902 data_time: 0.0198 memory: 6334 grad_norm: 2.8284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9028 loss: 2.9028 2022/08/14 22:03:17 - mmengine - INFO - Epoch(train) [128][2000/3757] lr: 5.0614e-02 eta: 1 day, 14:03:51 time: 0.2868 data_time: 0.0188 memory: 6334 grad_norm: 2.8580 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6942 loss: 2.6942 2022/08/14 22:03:46 - mmengine - INFO - Epoch(train) [128][2100/3757] lr: 5.0614e-02 eta: 1 day, 14:03:23 time: 0.2861 data_time: 0.0184 memory: 6334 grad_norm: 2.8384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9714 loss: 2.9714 2022/08/14 22:04:15 - mmengine - INFO - Epoch(train) [128][2200/3757] lr: 5.0614e-02 eta: 1 day, 14:02:55 time: 0.2861 data_time: 0.0188 memory: 6334 grad_norm: 2.8220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8174 loss: 2.8174 2022/08/14 22:04:44 - mmengine - INFO - Epoch(train) [128][2300/3757] lr: 5.0614e-02 eta: 1 day, 14:02:27 time: 0.2862 data_time: 0.0191 memory: 6334 grad_norm: 2.8864 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8736 loss: 2.8736 2022/08/14 22:05:13 - mmengine - INFO - Epoch(train) [128][2400/3757] lr: 5.0614e-02 eta: 1 day, 14:01:59 time: 0.2848 data_time: 0.0173 memory: 6334 grad_norm: 2.8655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1044 loss: 3.1044 2022/08/14 22:05:42 - mmengine - INFO - Epoch(train) [128][2500/3757] lr: 5.0614e-02 eta: 1 day, 14:01:31 time: 0.2847 data_time: 0.0181 memory: 6334 grad_norm: 2.9921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7475 loss: 2.7475 2022/08/14 22:06:11 - mmengine - INFO - Epoch(train) [128][2600/3757] lr: 5.0614e-02 eta: 1 day, 14:01:04 time: 0.2905 data_time: 0.0192 memory: 6334 grad_norm: 2.8555 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0118 loss: 3.0118 2022/08/14 22:06:40 - mmengine - INFO - Epoch(train) [128][2700/3757] lr: 5.0614e-02 eta: 1 day, 14:00:36 time: 0.2881 data_time: 0.0194 memory: 6334 grad_norm: 2.9319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7318 loss: 2.7318 2022/08/14 22:07:09 - mmengine - INFO - Epoch(train) [128][2800/3757] lr: 5.0614e-02 eta: 1 day, 14:00:08 time: 0.2883 data_time: 0.0179 memory: 6334 grad_norm: 2.9147 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9815 loss: 2.9815 2022/08/14 22:07:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:07:38 - mmengine - INFO - Epoch(train) [128][2900/3757] lr: 5.0614e-02 eta: 1 day, 13:59:40 time: 0.2876 data_time: 0.0176 memory: 6334 grad_norm: 2.8666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8865 loss: 2.8865 2022/08/14 22:08:07 - mmengine - INFO - Epoch(train) [128][3000/3757] lr: 5.0614e-02 eta: 1 day, 13:59:12 time: 0.2877 data_time: 0.0191 memory: 6334 grad_norm: 2.8813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9639 loss: 2.9639 2022/08/14 22:08:36 - mmengine - INFO - Epoch(train) [128][3100/3757] lr: 5.0614e-02 eta: 1 day, 13:58:44 time: 0.2847 data_time: 0.0176 memory: 6334 grad_norm: 2.9580 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9026 loss: 2.9026 2022/08/14 22:09:04 - mmengine - INFO - Epoch(train) [128][3200/3757] lr: 5.0614e-02 eta: 1 day, 13:58:16 time: 0.2848 data_time: 0.0183 memory: 6334 grad_norm: 2.7828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7253 loss: 2.7253 2022/08/14 22:09:33 - mmengine - INFO - Epoch(train) [128][3300/3757] lr: 5.0614e-02 eta: 1 day, 13:57:48 time: 0.2868 data_time: 0.0189 memory: 6334 grad_norm: 2.7791 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6722 loss: 2.6722 2022/08/14 22:10:02 - mmengine - INFO - Epoch(train) [128][3400/3757] lr: 5.0614e-02 eta: 1 day, 13:57:20 time: 0.2894 data_time: 0.0182 memory: 6334 grad_norm: 2.8381 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6762 loss: 2.6762 2022/08/14 22:10:31 - mmengine - INFO - Epoch(train) [128][3500/3757] lr: 5.0614e-02 eta: 1 day, 13:56:52 time: 0.2878 data_time: 0.0178 memory: 6334 grad_norm: 2.8840 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7419 loss: 2.7419 2022/08/14 22:11:01 - mmengine - INFO - Epoch(train) [128][3600/3757] lr: 5.0614e-02 eta: 1 day, 13:56:24 time: 0.2852 data_time: 0.0183 memory: 6334 grad_norm: 2.8775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7826 loss: 2.7826 2022/08/14 22:11:30 - mmengine - INFO - Epoch(train) [128][3700/3757] lr: 5.0614e-02 eta: 1 day, 13:55:56 time: 0.2911 data_time: 0.0193 memory: 6334 grad_norm: 2.9128 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9185 loss: 2.9185 2022/08/14 22:11:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:11:46 - mmengine - INFO - Epoch(train) [128][3757/3757] lr: 5.0614e-02 eta: 1 day, 13:55:45 time: 0.2662 data_time: 0.0160 memory: 6334 grad_norm: 2.9138 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.1761 loss: 3.1761 2022/08/14 22:11:46 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/14 22:12:20 - mmengine - INFO - Epoch(train) [129][100/3757] lr: 5.0000e-02 eta: 1 day, 13:55:08 time: 0.2853 data_time: 0.0182 memory: 6334 grad_norm: 2.9663 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7198 loss: 2.7198 2022/08/14 22:12:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:12:49 - mmengine - INFO - Epoch(train) [129][200/3757] lr: 5.0000e-02 eta: 1 day, 13:54:40 time: 0.2885 data_time: 0.0194 memory: 6334 grad_norm: 2.8595 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0318 loss: 3.0318 2022/08/14 22:13:18 - mmengine - INFO - Epoch(train) [129][300/3757] lr: 5.0000e-02 eta: 1 day, 13:54:12 time: 0.2861 data_time: 0.0185 memory: 6334 grad_norm: 2.8054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8246 loss: 2.8246 2022/08/14 22:13:47 - mmengine - INFO - Epoch(train) [129][400/3757] lr: 5.0000e-02 eta: 1 day, 13:53:44 time: 0.2888 data_time: 0.0212 memory: 6334 grad_norm: 2.9511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0683 loss: 3.0683 2022/08/14 22:14:16 - mmengine - INFO - Epoch(train) [129][500/3757] lr: 5.0000e-02 eta: 1 day, 13:53:16 time: 0.2851 data_time: 0.0172 memory: 6334 grad_norm: 2.8420 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1317 loss: 3.1317 2022/08/14 22:14:45 - mmengine - INFO - Epoch(train) [129][600/3757] lr: 5.0000e-02 eta: 1 day, 13:52:49 time: 0.2883 data_time: 0.0195 memory: 6334 grad_norm: 2.8150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6268 loss: 2.6268 2022/08/14 22:15:14 - mmengine - INFO - Epoch(train) [129][700/3757] lr: 5.0000e-02 eta: 1 day, 13:52:20 time: 0.2877 data_time: 0.0180 memory: 6334 grad_norm: 2.9656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7806 loss: 2.7806 2022/08/14 22:15:43 - mmengine - INFO - Epoch(train) [129][800/3757] lr: 5.0000e-02 eta: 1 day, 13:51:52 time: 0.2857 data_time: 0.0188 memory: 6334 grad_norm: 2.9047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9164 loss: 2.9164 2022/08/14 22:16:11 - mmengine - INFO - Epoch(train) [129][900/3757] lr: 5.0000e-02 eta: 1 day, 13:51:24 time: 0.2875 data_time: 0.0184 memory: 6334 grad_norm: 2.8385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5594 loss: 2.5594 2022/08/14 22:16:40 - mmengine - INFO - Epoch(train) [129][1000/3757] lr: 5.0000e-02 eta: 1 day, 13:50:56 time: 0.2911 data_time: 0.0182 memory: 6334 grad_norm: 2.8956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5607 loss: 2.5607 2022/08/14 22:17:09 - mmengine - INFO - Epoch(train) [129][1100/3757] lr: 5.0000e-02 eta: 1 day, 13:50:28 time: 0.2872 data_time: 0.0202 memory: 6334 grad_norm: 2.8632 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0860 loss: 3.0860 2022/08/14 22:17:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:17:38 - mmengine - INFO - Epoch(train) [129][1200/3757] lr: 5.0000e-02 eta: 1 day, 13:50:01 time: 0.2890 data_time: 0.0189 memory: 6334 grad_norm: 2.7977 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7179 loss: 2.7179 2022/08/14 22:18:07 - mmengine - INFO - Epoch(train) [129][1300/3757] lr: 5.0000e-02 eta: 1 day, 13:49:32 time: 0.2859 data_time: 0.0181 memory: 6334 grad_norm: 2.8945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7539 loss: 2.7539 2022/08/14 22:18:36 - mmengine - INFO - Epoch(train) [129][1400/3757] lr: 5.0000e-02 eta: 1 day, 13:49:04 time: 0.2864 data_time: 0.0177 memory: 6334 grad_norm: 2.8853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6329 loss: 2.6329 2022/08/14 22:19:05 - mmengine - INFO - Epoch(train) [129][1500/3757] lr: 5.0000e-02 eta: 1 day, 13:48:36 time: 0.2868 data_time: 0.0185 memory: 6334 grad_norm: 2.8309 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8021 loss: 2.8021 2022/08/14 22:19:34 - mmengine - INFO - Epoch(train) [129][1600/3757] lr: 5.0000e-02 eta: 1 day, 13:48:08 time: 0.2866 data_time: 0.0174 memory: 6334 grad_norm: 2.8670 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5341 loss: 2.5341 2022/08/14 22:20:03 - mmengine - INFO - Epoch(train) [129][1700/3757] lr: 5.0000e-02 eta: 1 day, 13:47:40 time: 0.2912 data_time: 0.0184 memory: 6334 grad_norm: 2.9213 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6521 loss: 2.6521 2022/08/14 22:20:32 - mmengine - INFO - Epoch(train) [129][1800/3757] lr: 5.0000e-02 eta: 1 day, 13:47:12 time: 0.2902 data_time: 0.0188 memory: 6334 grad_norm: 2.7971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7387 loss: 2.7387 2022/08/14 22:21:01 - mmengine - INFO - Epoch(train) [129][1900/3757] lr: 5.0000e-02 eta: 1 day, 13:46:45 time: 0.2896 data_time: 0.0197 memory: 6334 grad_norm: 2.8528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8143 loss: 2.8143 2022/08/14 22:21:30 - mmengine - INFO - Epoch(train) [129][2000/3757] lr: 5.0000e-02 eta: 1 day, 13:46:17 time: 0.2875 data_time: 0.0166 memory: 6334 grad_norm: 2.8374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7847 loss: 2.7847 2022/08/14 22:21:59 - mmengine - INFO - Epoch(train) [129][2100/3757] lr: 5.0000e-02 eta: 1 day, 13:45:49 time: 0.2921 data_time: 0.0186 memory: 6334 grad_norm: 2.8596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8170 loss: 2.8170 2022/08/14 22:22:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:22:28 - mmengine - INFO - Epoch(train) [129][2200/3757] lr: 5.0000e-02 eta: 1 day, 13:45:21 time: 0.2897 data_time: 0.0179 memory: 6334 grad_norm: 2.8321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7757 loss: 2.7757 2022/08/14 22:22:57 - mmengine - INFO - Epoch(train) [129][2300/3757] lr: 5.0000e-02 eta: 1 day, 13:44:53 time: 0.2857 data_time: 0.0181 memory: 6334 grad_norm: 2.8931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9342 loss: 2.9342 2022/08/14 22:23:26 - mmengine - INFO - Epoch(train) [129][2400/3757] lr: 5.0000e-02 eta: 1 day, 13:44:25 time: 0.2869 data_time: 0.0184 memory: 6334 grad_norm: 2.9288 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7592 loss: 2.7592 2022/08/14 22:23:55 - mmengine - INFO - Epoch(train) [129][2500/3757] lr: 5.0000e-02 eta: 1 day, 13:43:57 time: 0.2878 data_time: 0.0193 memory: 6334 grad_norm: 2.9856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8406 loss: 2.8406 2022/08/14 22:24:24 - mmengine - INFO - Epoch(train) [129][2600/3757] lr: 5.0000e-02 eta: 1 day, 13:43:29 time: 0.2872 data_time: 0.0203 memory: 6334 grad_norm: 2.9020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9812 loss: 2.9812 2022/08/14 22:24:53 - mmengine - INFO - Epoch(train) [129][2700/3757] lr: 5.0000e-02 eta: 1 day, 13:43:01 time: 0.2890 data_time: 0.0180 memory: 6334 grad_norm: 2.8857 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0500 loss: 3.0500 2022/08/14 22:25:22 - mmengine - INFO - Epoch(train) [129][2800/3757] lr: 5.0000e-02 eta: 1 day, 13:42:33 time: 0.2901 data_time: 0.0176 memory: 6334 grad_norm: 2.9111 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8680 loss: 2.8680 2022/08/14 22:25:51 - mmengine - INFO - Epoch(train) [129][2900/3757] lr: 5.0000e-02 eta: 1 day, 13:42:05 time: 0.2910 data_time: 0.0192 memory: 6334 grad_norm: 2.9401 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0620 loss: 3.0620 2022/08/14 22:26:20 - mmengine - INFO - Epoch(train) [129][3000/3757] lr: 5.0000e-02 eta: 1 day, 13:41:38 time: 0.2942 data_time: 0.0182 memory: 6334 grad_norm: 2.9247 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8336 loss: 2.8336 2022/08/14 22:26:49 - mmengine - INFO - Epoch(train) [129][3100/3757] lr: 5.0000e-02 eta: 1 day, 13:41:10 time: 0.2891 data_time: 0.0193 memory: 6334 grad_norm: 2.8589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6846 loss: 2.6846 2022/08/14 22:26:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:27:18 - mmengine - INFO - Epoch(train) [129][3200/3757] lr: 5.0000e-02 eta: 1 day, 13:40:42 time: 0.2875 data_time: 0.0198 memory: 6334 grad_norm: 2.9104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7714 loss: 2.7714 2022/08/14 22:27:47 - mmengine - INFO - Epoch(train) [129][3300/3757] lr: 5.0000e-02 eta: 1 day, 13:40:14 time: 0.2869 data_time: 0.0185 memory: 6334 grad_norm: 2.9205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7758 loss: 2.7758 2022/08/14 22:28:16 - mmengine - INFO - Epoch(train) [129][3400/3757] lr: 5.0000e-02 eta: 1 day, 13:39:46 time: 0.2854 data_time: 0.0179 memory: 6334 grad_norm: 3.0175 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2124 loss: 3.2124 2022/08/14 22:28:45 - mmengine - INFO - Epoch(train) [129][3500/3757] lr: 5.0000e-02 eta: 1 day, 13:39:18 time: 0.2920 data_time: 0.0203 memory: 6334 grad_norm: 2.7847 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7441 loss: 2.7441 2022/08/14 22:29:14 - mmengine - INFO - Epoch(train) [129][3600/3757] lr: 5.0000e-02 eta: 1 day, 13:38:50 time: 0.2872 data_time: 0.0172 memory: 6334 grad_norm: 2.8101 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1181 loss: 3.1181 2022/08/14 22:29:44 - mmengine - INFO - Epoch(train) [129][3700/3757] lr: 5.0000e-02 eta: 1 day, 13:38:22 time: 0.2880 data_time: 0.0186 memory: 6334 grad_norm: 2.8495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5879 loss: 2.5879 2022/08/14 22:30:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:30:00 - mmengine - INFO - Epoch(train) [129][3757/3757] lr: 5.0000e-02 eta: 1 day, 13:38:11 time: 0.2758 data_time: 0.0157 memory: 6334 grad_norm: 2.9987 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 3.0674 loss: 3.0674 2022/08/14 22:30:32 - mmengine - INFO - Epoch(train) [130][100/3757] lr: 4.9386e-02 eta: 1 day, 13:37:36 time: 0.2875 data_time: 0.0191 memory: 6334 grad_norm: 3.0381 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0088 loss: 3.0088 2022/08/14 22:31:01 - mmengine - INFO - Epoch(train) [130][200/3757] lr: 4.9386e-02 eta: 1 day, 13:37:08 time: 0.2900 data_time: 0.0187 memory: 6334 grad_norm: 2.9479 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7145 loss: 2.7145 2022/08/14 22:31:30 - mmengine - INFO - Epoch(train) [130][300/3757] lr: 4.9386e-02 eta: 1 day, 13:36:40 time: 0.2852 data_time: 0.0170 memory: 6334 grad_norm: 2.8893 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6504 loss: 2.6504 2022/08/14 22:31:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:31:59 - mmengine - INFO - Epoch(train) [130][400/3757] lr: 4.9386e-02 eta: 1 day, 13:36:12 time: 0.2858 data_time: 0.0180 memory: 6334 grad_norm: 2.8970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9745 loss: 2.9745 2022/08/14 22:32:28 - mmengine - INFO - Epoch(train) [130][500/3757] lr: 4.9386e-02 eta: 1 day, 13:35:44 time: 0.2873 data_time: 0.0183 memory: 6334 grad_norm: 2.9015 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0008 loss: 3.0008 2022/08/14 22:32:57 - mmengine - INFO - Epoch(train) [130][600/3757] lr: 4.9386e-02 eta: 1 day, 13:35:16 time: 0.2876 data_time: 0.0183 memory: 6334 grad_norm: 2.8937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6910 loss: 2.6910 2022/08/14 22:33:26 - mmengine - INFO - Epoch(train) [130][700/3757] lr: 4.9386e-02 eta: 1 day, 13:34:48 time: 0.2893 data_time: 0.0186 memory: 6334 grad_norm: 2.8401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9598 loss: 2.9598 2022/08/14 22:33:55 - mmengine - INFO - Epoch(train) [130][800/3757] lr: 4.9386e-02 eta: 1 day, 13:34:20 time: 0.2852 data_time: 0.0173 memory: 6334 grad_norm: 2.8525 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6194 loss: 2.6194 2022/08/14 22:34:24 - mmengine - INFO - Epoch(train) [130][900/3757] lr: 4.9386e-02 eta: 1 day, 13:33:52 time: 0.2913 data_time: 0.0198 memory: 6334 grad_norm: 2.8862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6405 loss: 2.6405 2022/08/14 22:34:53 - mmengine - INFO - Epoch(train) [130][1000/3757] lr: 4.9386e-02 eta: 1 day, 13:33:25 time: 0.2871 data_time: 0.0185 memory: 6334 grad_norm: 2.8233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7024 loss: 2.7024 2022/08/14 22:35:22 - mmengine - INFO - Epoch(train) [130][1100/3757] lr: 4.9386e-02 eta: 1 day, 13:32:57 time: 0.2929 data_time: 0.0190 memory: 6334 grad_norm: 2.8350 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6702 loss: 2.6702 2022/08/14 22:35:51 - mmengine - INFO - Epoch(train) [130][1200/3757] lr: 4.9386e-02 eta: 1 day, 13:32:29 time: 0.2860 data_time: 0.0187 memory: 6334 grad_norm: 2.9586 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6304 loss: 2.6304 2022/08/14 22:36:20 - mmengine - INFO - Epoch(train) [130][1300/3757] lr: 4.9386e-02 eta: 1 day, 13:32:01 time: 0.2910 data_time: 0.0186 memory: 6334 grad_norm: 2.7673 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1280 loss: 3.1280 2022/08/14 22:36:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:36:49 - mmengine - INFO - Epoch(train) [130][1400/3757] lr: 4.9386e-02 eta: 1 day, 13:31:33 time: 0.2874 data_time: 0.0187 memory: 6334 grad_norm: 2.9119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9896 loss: 2.9896 2022/08/14 22:37:18 - mmengine - INFO - Epoch(train) [130][1500/3757] lr: 4.9386e-02 eta: 1 day, 13:31:05 time: 0.2872 data_time: 0.0179 memory: 6334 grad_norm: 2.8562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7690 loss: 2.7690 2022/08/14 22:37:47 - mmengine - INFO - Epoch(train) [130][1600/3757] lr: 4.9386e-02 eta: 1 day, 13:30:37 time: 0.2872 data_time: 0.0170 memory: 6334 grad_norm: 2.8844 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8575 loss: 2.8575 2022/08/14 22:38:16 - mmengine - INFO - Epoch(train) [130][1700/3757] lr: 4.9386e-02 eta: 1 day, 13:30:09 time: 0.2861 data_time: 0.0190 memory: 6334 grad_norm: 2.8593 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6543 loss: 2.6543 2022/08/14 22:38:45 - mmengine - INFO - Epoch(train) [130][1800/3757] lr: 4.9386e-02 eta: 1 day, 13:29:41 time: 0.2856 data_time: 0.0188 memory: 6334 grad_norm: 2.9473 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1220 loss: 3.1220 2022/08/14 22:39:14 - mmengine - INFO - Epoch(train) [130][1900/3757] lr: 4.9386e-02 eta: 1 day, 13:29:13 time: 0.2862 data_time: 0.0178 memory: 6334 grad_norm: 2.9713 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8337 loss: 2.8337 2022/08/14 22:39:43 - mmengine - INFO - Epoch(train) [130][2000/3757] lr: 4.9386e-02 eta: 1 day, 13:28:45 time: 0.2890 data_time: 0.0197 memory: 6334 grad_norm: 2.8433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3209 loss: 2.3209 2022/08/14 22:40:12 - mmengine - INFO - Epoch(train) [130][2100/3757] lr: 4.9386e-02 eta: 1 day, 13:28:17 time: 0.2868 data_time: 0.0192 memory: 6334 grad_norm: 2.8671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5260 loss: 2.5260 2022/08/14 22:40:41 - mmengine - INFO - Epoch(train) [130][2200/3757] lr: 4.9386e-02 eta: 1 day, 13:27:49 time: 0.2902 data_time: 0.0182 memory: 6334 grad_norm: 2.9973 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0778 loss: 3.0778 2022/08/14 22:41:10 - mmengine - INFO - Epoch(train) [130][2300/3757] lr: 4.9386e-02 eta: 1 day, 13:27:21 time: 0.2878 data_time: 0.0194 memory: 6334 grad_norm: 2.8520 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5524 loss: 2.5524 2022/08/14 22:41:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:41:39 - mmengine - INFO - Epoch(train) [130][2400/3757] lr: 4.9386e-02 eta: 1 day, 13:26:53 time: 0.2857 data_time: 0.0198 memory: 6334 grad_norm: 2.9338 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7931 loss: 2.7931 2022/08/14 22:42:08 - mmengine - INFO - Epoch(train) [130][2500/3757] lr: 4.9386e-02 eta: 1 day, 13:26:25 time: 0.2871 data_time: 0.0191 memory: 6334 grad_norm: 2.9471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8117 loss: 2.8117 2022/08/14 22:42:37 - mmengine - INFO - Epoch(train) [130][2600/3757] lr: 4.9386e-02 eta: 1 day, 13:25:57 time: 0.2866 data_time: 0.0180 memory: 6334 grad_norm: 2.8142 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5777 loss: 2.5777 2022/08/14 22:43:06 - mmengine - INFO - Epoch(train) [130][2700/3757] lr: 4.9386e-02 eta: 1 day, 13:25:29 time: 0.2887 data_time: 0.0186 memory: 6334 grad_norm: 2.8139 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9236 loss: 2.9236 2022/08/14 22:43:35 - mmengine - INFO - Epoch(train) [130][2800/3757] lr: 4.9386e-02 eta: 1 day, 13:25:01 time: 0.2869 data_time: 0.0181 memory: 6334 grad_norm: 2.9354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7802 loss: 2.7802 2022/08/14 22:44:04 - mmengine - INFO - Epoch(train) [130][2900/3757] lr: 4.9386e-02 eta: 1 day, 13:24:34 time: 0.2919 data_time: 0.0178 memory: 6334 grad_norm: 2.8092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8899 loss: 2.8899 2022/08/14 22:44:33 - mmengine - INFO - Epoch(train) [130][3000/3757] lr: 4.9386e-02 eta: 1 day, 13:24:06 time: 0.2866 data_time: 0.0182 memory: 6334 grad_norm: 2.8882 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7745 loss: 2.7745 2022/08/14 22:45:02 - mmengine - INFO - Epoch(train) [130][3100/3757] lr: 4.9386e-02 eta: 1 day, 13:23:38 time: 0.2862 data_time: 0.0185 memory: 6334 grad_norm: 2.8516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7034 loss: 2.7034 2022/08/14 22:45:31 - mmengine - INFO - Epoch(train) [130][3200/3757] lr: 4.9386e-02 eta: 1 day, 13:23:10 time: 0.2852 data_time: 0.0173 memory: 6334 grad_norm: 2.9368 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8245 loss: 2.8245 2022/08/14 22:46:00 - mmengine - INFO - Epoch(train) [130][3300/3757] lr: 4.9386e-02 eta: 1 day, 13:22:42 time: 0.2867 data_time: 0.0180 memory: 6334 grad_norm: 2.8845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6923 loss: 2.6923 2022/08/14 22:46:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:46:29 - mmengine - INFO - Epoch(train) [130][3400/3757] lr: 4.9386e-02 eta: 1 day, 13:22:14 time: 0.2846 data_time: 0.0179 memory: 6334 grad_norm: 2.8015 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1392 loss: 3.1392 2022/08/14 22:46:57 - mmengine - INFO - Epoch(train) [130][3500/3757] lr: 4.9386e-02 eta: 1 day, 13:21:45 time: 0.2861 data_time: 0.0166 memory: 6334 grad_norm: 2.8498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8249 loss: 2.8249 2022/08/14 22:47:26 - mmengine - INFO - Epoch(train) [130][3600/3757] lr: 4.9386e-02 eta: 1 day, 13:21:18 time: 0.2868 data_time: 0.0171 memory: 6334 grad_norm: 2.9292 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7352 loss: 2.7352 2022/08/14 22:47:56 - mmengine - INFO - Epoch(train) [130][3700/3757] lr: 4.9386e-02 eta: 1 day, 13:20:50 time: 0.2881 data_time: 0.0212 memory: 6334 grad_norm: 2.8610 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6583 loss: 2.6583 2022/08/14 22:48:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:48:12 - mmengine - INFO - Epoch(train) [130][3757/3757] lr: 4.9386e-02 eta: 1 day, 13:20:39 time: 0.2680 data_time: 0.0152 memory: 6334 grad_norm: 2.8808 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.7075 loss: 2.7075 2022/08/14 22:48:34 - mmengine - INFO - Epoch(val) [130][100/310] eta: 0:00:46 time: 0.2217 data_time: 0.1236 memory: 1152 2022/08/14 22:48:55 - mmengine - INFO - Epoch(val) [130][200/310] eta: 0:00:21 time: 0.1921 data_time: 0.0951 memory: 1152 2022/08/14 22:49:16 - mmengine - INFO - Epoch(val) [130][300/310] eta: 0:00:02 time: 0.2138 data_time: 0.1116 memory: 1152 2022/08/14 22:49:21 - mmengine - INFO - Epoch(val) [130][310/310] acc/top1: 0.4487 acc/top5: 0.7229 acc/mean1: 0.4487 2022/08/14 22:49:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_126.pth is removed 2022/08/14 22:49:23 - mmengine - INFO - The best checkpoint with 0.4487 acc/top1 at 131 epoch is saved to best_acc/top1_epoch_131.pth. 2022/08/14 22:49:54 - mmengine - INFO - Epoch(train) [131][100/3757] lr: 4.8773e-02 eta: 1 day, 13:20:02 time: 0.2887 data_time: 0.0200 memory: 6334 grad_norm: 3.0051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8404 loss: 2.8404 2022/08/14 22:50:23 - mmengine - INFO - Epoch(train) [131][200/3757] lr: 4.8773e-02 eta: 1 day, 13:19:34 time: 0.2886 data_time: 0.0197 memory: 6334 grad_norm: 2.7656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3353 loss: 2.3353 2022/08/14 22:50:52 - mmengine - INFO - Epoch(train) [131][300/3757] lr: 4.8773e-02 eta: 1 day, 13:19:06 time: 0.2890 data_time: 0.0199 memory: 6334 grad_norm: 2.7407 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7190 loss: 2.7190 2022/08/14 22:51:21 - mmengine - INFO - Epoch(train) [131][400/3757] lr: 4.8773e-02 eta: 1 day, 13:18:38 time: 0.2864 data_time: 0.0179 memory: 6334 grad_norm: 2.8603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9513 loss: 2.9513 2022/08/14 22:51:50 - mmengine - INFO - Epoch(train) [131][500/3757] lr: 4.8773e-02 eta: 1 day, 13:18:10 time: 0.2872 data_time: 0.0174 memory: 6334 grad_norm: 2.9411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0132 loss: 3.0132 2022/08/14 22:52:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:52:19 - mmengine - INFO - Epoch(train) [131][600/3757] lr: 4.8773e-02 eta: 1 day, 13:17:42 time: 0.2869 data_time: 0.0180 memory: 6334 grad_norm: 2.9860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0217 loss: 3.0217 2022/08/14 22:52:48 - mmengine - INFO - Epoch(train) [131][700/3757] lr: 4.8773e-02 eta: 1 day, 13:17:14 time: 0.2873 data_time: 0.0187 memory: 6334 grad_norm: 2.8776 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7667 loss: 2.7667 2022/08/14 22:53:17 - mmengine - INFO - Epoch(train) [131][800/3757] lr: 4.8773e-02 eta: 1 day, 13:16:46 time: 0.2876 data_time: 0.0189 memory: 6334 grad_norm: 2.8686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9725 loss: 2.9725 2022/08/14 22:53:46 - mmengine - INFO - Epoch(train) [131][900/3757] lr: 4.8773e-02 eta: 1 day, 13:16:19 time: 0.2879 data_time: 0.0182 memory: 6334 grad_norm: 2.8049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9271 loss: 2.9271 2022/08/14 22:54:15 - mmengine - INFO - Epoch(train) [131][1000/3757] lr: 4.8773e-02 eta: 1 day, 13:15:50 time: 0.2883 data_time: 0.0197 memory: 6334 grad_norm: 2.9533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8753 loss: 2.8753 2022/08/14 22:54:43 - mmengine - INFO - Epoch(train) [131][1100/3757] lr: 4.8773e-02 eta: 1 day, 13:15:22 time: 0.2874 data_time: 0.0178 memory: 6334 grad_norm: 2.9148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5800 loss: 2.5800 2022/08/14 22:55:12 - mmengine - INFO - Epoch(train) [131][1200/3757] lr: 4.8773e-02 eta: 1 day, 13:14:54 time: 0.2919 data_time: 0.0198 memory: 6334 grad_norm: 2.8957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8942 loss: 2.8942 2022/08/14 22:55:41 - mmengine - INFO - Epoch(train) [131][1300/3757] lr: 4.8773e-02 eta: 1 day, 13:14:27 time: 0.2902 data_time: 0.0189 memory: 6334 grad_norm: 2.8931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7740 loss: 2.7740 2022/08/14 22:56:10 - mmengine - INFO - Epoch(train) [131][1400/3757] lr: 4.8773e-02 eta: 1 day, 13:13:59 time: 0.2863 data_time: 0.0174 memory: 6334 grad_norm: 2.8787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7760 loss: 2.7760 2022/08/14 22:56:39 - mmengine - INFO - Epoch(train) [131][1500/3757] lr: 4.8773e-02 eta: 1 day, 13:13:31 time: 0.2886 data_time: 0.0189 memory: 6334 grad_norm: 3.0025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9508 loss: 2.9508 2022/08/14 22:57:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 22:57:08 - mmengine - INFO - Epoch(train) [131][1600/3757] lr: 4.8773e-02 eta: 1 day, 13:13:02 time: 0.2863 data_time: 0.0182 memory: 6334 grad_norm: 2.9649 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9896 loss: 2.9896 2022/08/14 22:57:37 - mmengine - INFO - Epoch(train) [131][1700/3757] lr: 4.8773e-02 eta: 1 day, 13:12:34 time: 0.2868 data_time: 0.0179 memory: 6334 grad_norm: 2.9719 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8996 loss: 2.8996 2022/08/14 22:58:06 - mmengine - INFO - Epoch(train) [131][1800/3757] lr: 4.8773e-02 eta: 1 day, 13:12:06 time: 0.2880 data_time: 0.0192 memory: 6334 grad_norm: 2.9322 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7736 loss: 2.7736 2022/08/14 22:58:35 - mmengine - INFO - Epoch(train) [131][1900/3757] lr: 4.8773e-02 eta: 1 day, 13:11:38 time: 0.2876 data_time: 0.0182 memory: 6334 grad_norm: 3.0271 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8521 loss: 2.8521 2022/08/14 22:59:04 - mmengine - INFO - Epoch(train) [131][2000/3757] lr: 4.8773e-02 eta: 1 day, 13:11:10 time: 0.2863 data_time: 0.0175 memory: 6334 grad_norm: 2.8949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6869 loss: 2.6869 2022/08/14 22:59:33 - mmengine - INFO - Epoch(train) [131][2100/3757] lr: 4.8773e-02 eta: 1 day, 13:10:42 time: 0.2865 data_time: 0.0175 memory: 6334 grad_norm: 2.9059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8490 loss: 2.8490 2022/08/14 23:00:02 - mmengine - INFO - Epoch(train) [131][2200/3757] lr: 4.8773e-02 eta: 1 day, 13:10:14 time: 0.2864 data_time: 0.0191 memory: 6334 grad_norm: 2.9753 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0132 loss: 3.0132 2022/08/14 23:00:31 - mmengine - INFO - Epoch(train) [131][2300/3757] lr: 4.8773e-02 eta: 1 day, 13:09:46 time: 0.2850 data_time: 0.0177 memory: 6334 grad_norm: 2.9012 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7130 loss: 2.7130 2022/08/14 23:01:00 - mmengine - INFO - Epoch(train) [131][2400/3757] lr: 4.8773e-02 eta: 1 day, 13:09:18 time: 0.2868 data_time: 0.0182 memory: 6334 grad_norm: 2.8621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7987 loss: 2.7987 2022/08/14 23:01:29 - mmengine - INFO - Epoch(train) [131][2500/3757] lr: 4.8773e-02 eta: 1 day, 13:08:50 time: 0.2877 data_time: 0.0192 memory: 6334 grad_norm: 2.9054 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6314 loss: 2.6314 2022/08/14 23:01:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:01:58 - mmengine - INFO - Epoch(train) [131][2600/3757] lr: 4.8773e-02 eta: 1 day, 13:08:22 time: 0.2881 data_time: 0.0200 memory: 6334 grad_norm: 2.9979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4515 loss: 2.4515 2022/08/14 23:02:27 - mmengine - INFO - Epoch(train) [131][2700/3757] lr: 4.8773e-02 eta: 1 day, 13:07:54 time: 0.2938 data_time: 0.0187 memory: 6334 grad_norm: 2.9177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5560 loss: 2.5560 2022/08/14 23:02:56 - mmengine - INFO - Epoch(train) [131][2800/3757] lr: 4.8773e-02 eta: 1 day, 13:07:26 time: 0.2870 data_time: 0.0172 memory: 6334 grad_norm: 2.9885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6019 loss: 2.6019 2022/08/14 23:03:25 - mmengine - INFO - Epoch(train) [131][2900/3757] lr: 4.8773e-02 eta: 1 day, 13:06:59 time: 0.2871 data_time: 0.0192 memory: 6334 grad_norm: 2.9854 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9002 loss: 2.9002 2022/08/14 23:03:54 - mmengine - INFO - Epoch(train) [131][3000/3757] lr: 4.8773e-02 eta: 1 day, 13:06:31 time: 0.2870 data_time: 0.0174 memory: 6334 grad_norm: 2.8623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6193 loss: 2.6193 2022/08/14 23:04:23 - mmengine - INFO - Epoch(train) [131][3100/3757] lr: 4.8773e-02 eta: 1 day, 13:06:03 time: 0.2888 data_time: 0.0191 memory: 6334 grad_norm: 2.8876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7999 loss: 2.7999 2022/08/14 23:04:52 - mmengine - INFO - Epoch(train) [131][3200/3757] lr: 4.8773e-02 eta: 1 day, 13:05:35 time: 0.2861 data_time: 0.0183 memory: 6334 grad_norm: 2.9181 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7702 loss: 2.7702 2022/08/14 23:05:21 - mmengine - INFO - Epoch(train) [131][3300/3757] lr: 4.8773e-02 eta: 1 day, 13:05:07 time: 0.2871 data_time: 0.0195 memory: 6334 grad_norm: 2.9414 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5531 loss: 2.5531 2022/08/14 23:05:50 - mmengine - INFO - Epoch(train) [131][3400/3757] lr: 4.8773e-02 eta: 1 day, 13:04:39 time: 0.2874 data_time: 0.0180 memory: 6334 grad_norm: 2.9514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8242 loss: 2.8242 2022/08/14 23:06:19 - mmengine - INFO - Epoch(train) [131][3500/3757] lr: 4.8773e-02 eta: 1 day, 13:04:11 time: 0.2878 data_time: 0.0191 memory: 6334 grad_norm: 2.8982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6197 loss: 2.6197 2022/08/14 23:06:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:06:48 - mmengine - INFO - Epoch(train) [131][3600/3757] lr: 4.8773e-02 eta: 1 day, 13:03:43 time: 0.2887 data_time: 0.0180 memory: 6334 grad_norm: 2.9547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0524 loss: 3.0524 2022/08/14 23:07:17 - mmengine - INFO - Epoch(train) [131][3700/3757] lr: 4.8773e-02 eta: 1 day, 13:03:15 time: 0.2885 data_time: 0.0186 memory: 6334 grad_norm: 2.9069 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0049 loss: 3.0049 2022/08/14 23:07:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:07:33 - mmengine - INFO - Epoch(train) [131][3757/3757] lr: 4.8773e-02 eta: 1 day, 13:03:04 time: 0.2664 data_time: 0.0154 memory: 6334 grad_norm: 3.0618 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.8885 loss: 2.8885 2022/08/14 23:08:04 - mmengine - INFO - Epoch(train) [132][100/3757] lr: 4.8160e-02 eta: 1 day, 13:02:28 time: 0.2889 data_time: 0.0188 memory: 6334 grad_norm: 2.9365 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8193 loss: 2.8193 2022/08/14 23:08:33 - mmengine - INFO - Epoch(train) [132][200/3757] lr: 4.8160e-02 eta: 1 day, 13:02:00 time: 0.2850 data_time: 0.0189 memory: 6334 grad_norm: 2.9272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8035 loss: 2.8035 2022/08/14 23:09:02 - mmengine - INFO - Epoch(train) [132][300/3757] lr: 4.8160e-02 eta: 1 day, 13:01:32 time: 0.2868 data_time: 0.0195 memory: 6334 grad_norm: 2.8456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5514 loss: 2.5514 2022/08/14 23:09:31 - mmengine - INFO - Epoch(train) [132][400/3757] lr: 4.8160e-02 eta: 1 day, 13:01:04 time: 0.2883 data_time: 0.0195 memory: 6334 grad_norm: 2.9182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5076 loss: 2.5076 2022/08/14 23:10:00 - mmengine - INFO - Epoch(train) [132][500/3757] lr: 4.8160e-02 eta: 1 day, 13:00:36 time: 0.2870 data_time: 0.0181 memory: 6334 grad_norm: 2.8777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6626 loss: 2.6626 2022/08/14 23:10:29 - mmengine - INFO - Epoch(train) [132][600/3757] lr: 4.8160e-02 eta: 1 day, 13:00:08 time: 0.2862 data_time: 0.0186 memory: 6334 grad_norm: 2.9565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0130 loss: 3.0130 2022/08/14 23:10:58 - mmengine - INFO - Epoch(train) [132][700/3757] lr: 4.8160e-02 eta: 1 day, 12:59:40 time: 0.2880 data_time: 0.0187 memory: 6334 grad_norm: 2.8561 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7190 loss: 2.7190 2022/08/14 23:11:28 - mmengine - INFO - Epoch(train) [132][800/3757] lr: 4.8160e-02 eta: 1 day, 12:59:13 time: 0.3012 data_time: 0.0184 memory: 6334 grad_norm: 3.0529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6290 loss: 2.6290 2022/08/14 23:11:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:11:57 - mmengine - INFO - Epoch(train) [132][900/3757] lr: 4.8160e-02 eta: 1 day, 12:58:45 time: 0.2871 data_time: 0.0186 memory: 6334 grad_norm: 2.9837 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6435 loss: 2.6435 2022/08/14 23:12:26 - mmengine - INFO - Epoch(train) [132][1000/3757] lr: 4.8160e-02 eta: 1 day, 12:58:17 time: 0.2939 data_time: 0.0195 memory: 6334 grad_norm: 2.8513 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6600 loss: 2.6600 2022/08/14 23:12:55 - mmengine - INFO - Epoch(train) [132][1100/3757] lr: 4.8160e-02 eta: 1 day, 12:57:49 time: 0.2886 data_time: 0.0188 memory: 6334 grad_norm: 2.9298 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4397 loss: 2.4397 2022/08/14 23:13:24 - mmengine - INFO - Epoch(train) [132][1200/3757] lr: 4.8160e-02 eta: 1 day, 12:57:21 time: 0.2878 data_time: 0.0178 memory: 6334 grad_norm: 2.8733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6187 loss: 2.6187 2022/08/14 23:13:53 - mmengine - INFO - Epoch(train) [132][1300/3757] lr: 4.8160e-02 eta: 1 day, 12:56:53 time: 0.2875 data_time: 0.0186 memory: 6334 grad_norm: 2.9322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7924 loss: 2.7924 2022/08/14 23:14:22 - mmengine - INFO - Epoch(train) [132][1400/3757] lr: 4.8160e-02 eta: 1 day, 12:56:25 time: 0.2858 data_time: 0.0192 memory: 6334 grad_norm: 2.9586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6912 loss: 2.6912 2022/08/14 23:14:51 - mmengine - INFO - Epoch(train) [132][1500/3757] lr: 4.8160e-02 eta: 1 day, 12:55:57 time: 0.2848 data_time: 0.0178 memory: 6334 grad_norm: 2.9508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6308 loss: 2.6308 2022/08/14 23:15:20 - mmengine - INFO - Epoch(train) [132][1600/3757] lr: 4.8160e-02 eta: 1 day, 12:55:29 time: 0.2874 data_time: 0.0185 memory: 6334 grad_norm: 2.8593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7923 loss: 2.7923 2022/08/14 23:15:49 - mmengine - INFO - Epoch(train) [132][1700/3757] lr: 4.8160e-02 eta: 1 day, 12:55:01 time: 0.2892 data_time: 0.0206 memory: 6334 grad_norm: 2.9116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7176 loss: 2.7176 2022/08/14 23:16:18 - mmengine - INFO - Epoch(train) [132][1800/3757] lr: 4.8160e-02 eta: 1 day, 12:54:33 time: 0.2878 data_time: 0.0194 memory: 6334 grad_norm: 2.8231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7452 loss: 2.7452 2022/08/14 23:16:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:16:47 - mmengine - INFO - Epoch(train) [132][1900/3757] lr: 4.8160e-02 eta: 1 day, 12:54:05 time: 0.2960 data_time: 0.0195 memory: 6334 grad_norm: 2.8988 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8380 loss: 2.8380 2022/08/14 23:17:16 - mmengine - INFO - Epoch(train) [132][2000/3757] lr: 4.8160e-02 eta: 1 day, 12:53:37 time: 0.2888 data_time: 0.0189 memory: 6334 grad_norm: 2.9263 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6631 loss: 2.6631 2022/08/14 23:17:45 - mmengine - INFO - Epoch(train) [132][2100/3757] lr: 4.8160e-02 eta: 1 day, 12:53:09 time: 0.2866 data_time: 0.0188 memory: 6334 grad_norm: 2.9606 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5979 loss: 2.5979 2022/08/14 23:18:14 - mmengine - INFO - Epoch(train) [132][2200/3757] lr: 4.8160e-02 eta: 1 day, 12:52:41 time: 0.2894 data_time: 0.0190 memory: 6334 grad_norm: 2.9190 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5880 loss: 2.5880 2022/08/14 23:18:43 - mmengine - INFO - Epoch(train) [132][2300/3757] lr: 4.8160e-02 eta: 1 day, 12:52:13 time: 0.2864 data_time: 0.0177 memory: 6334 grad_norm: 2.9403 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9939 loss: 2.9939 2022/08/14 23:19:12 - mmengine - INFO - Epoch(train) [132][2400/3757] lr: 4.8160e-02 eta: 1 day, 12:51:45 time: 0.2863 data_time: 0.0174 memory: 6334 grad_norm: 2.8519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8755 loss: 2.8755 2022/08/14 23:19:41 - mmengine - INFO - Epoch(train) [132][2500/3757] lr: 4.8160e-02 eta: 1 day, 12:51:17 time: 0.2859 data_time: 0.0183 memory: 6334 grad_norm: 2.9889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5452 loss: 2.5452 2022/08/14 23:20:10 - mmengine - INFO - Epoch(train) [132][2600/3757] lr: 4.8160e-02 eta: 1 day, 12:50:49 time: 0.2880 data_time: 0.0194 memory: 6334 grad_norm: 2.8918 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7556 loss: 2.7556 2022/08/14 23:20:39 - mmengine - INFO - Epoch(train) [132][2700/3757] lr: 4.8160e-02 eta: 1 day, 12:50:21 time: 0.2935 data_time: 0.0201 memory: 6334 grad_norm: 2.8991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5468 loss: 2.5468 2022/08/14 23:21:08 - mmengine - INFO - Epoch(train) [132][2800/3757] lr: 4.8160e-02 eta: 1 day, 12:49:53 time: 0.2859 data_time: 0.0188 memory: 6334 grad_norm: 2.8490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8960 loss: 2.8960 2022/08/14 23:21:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:21:37 - mmengine - INFO - Epoch(train) [132][2900/3757] lr: 4.8160e-02 eta: 1 day, 12:49:25 time: 0.2951 data_time: 0.0203 memory: 6334 grad_norm: 2.8846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5232 loss: 2.5232 2022/08/14 23:22:06 - mmengine - INFO - Epoch(train) [132][3000/3757] lr: 4.8160e-02 eta: 1 day, 12:48:57 time: 0.2878 data_time: 0.0191 memory: 6334 grad_norm: 2.8788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7170 loss: 2.7170 2022/08/14 23:22:35 - mmengine - INFO - Epoch(train) [132][3100/3757] lr: 4.8160e-02 eta: 1 day, 12:48:30 time: 0.2926 data_time: 0.0217 memory: 6334 grad_norm: 2.9842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8161 loss: 2.8161 2022/08/14 23:23:04 - mmengine - INFO - Epoch(train) [132][3200/3757] lr: 4.8160e-02 eta: 1 day, 12:48:02 time: 0.2870 data_time: 0.0178 memory: 6334 grad_norm: 2.9615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9786 loss: 2.9786 2022/08/14 23:23:33 - mmengine - INFO - Epoch(train) [132][3300/3757] lr: 4.8160e-02 eta: 1 day, 12:47:33 time: 0.2864 data_time: 0.0186 memory: 6334 grad_norm: 2.9164 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6069 loss: 2.6069 2022/08/14 23:24:02 - mmengine - INFO - Epoch(train) [132][3400/3757] lr: 4.8160e-02 eta: 1 day, 12:47:06 time: 0.2867 data_time: 0.0177 memory: 6334 grad_norm: 2.8889 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0482 loss: 3.0482 2022/08/14 23:24:31 - mmengine - INFO - Epoch(train) [132][3500/3757] lr: 4.8160e-02 eta: 1 day, 12:46:38 time: 0.2861 data_time: 0.0181 memory: 6334 grad_norm: 2.9622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7766 loss: 2.7766 2022/08/14 23:25:00 - mmengine - INFO - Epoch(train) [132][3600/3757] lr: 4.8160e-02 eta: 1 day, 12:46:10 time: 0.2876 data_time: 0.0192 memory: 6334 grad_norm: 2.8907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8430 loss: 2.8430 2022/08/14 23:25:29 - mmengine - INFO - Epoch(train) [132][3700/3757] lr: 4.8160e-02 eta: 1 day, 12:45:42 time: 0.2871 data_time: 0.0180 memory: 6334 grad_norm: 2.8262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8478 loss: 2.8478 2022/08/14 23:25:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/14 23:25:45 - mmengine - INFO - Epoch(train) [132][3757/3757] lr: 4.8160e-02 eta: 1 day, 12:45:30 time: 0.2673 data_time: 0.0167 memory: 6334 grad_norm: 2.8932 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.6302 loss: 2.6302 2022/08/14 23:25:45 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/14 23:26:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220813_072740 2022/08/15 00:41:54 - mmengine - INFO - Epoch(train) [133][100/3757] lr: 4.7547e-02 eta: 5 days, 10:53:27 time: 0.2820 data_time: 0.0142 memory: 6332 grad_norm: 2.8878 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8476 loss: 2.8476 2022/08/15 00:42:23 - mmengine - INFO - Epoch(train) [133][200/3757] lr: 4.7547e-02 eta: 3 days, 11:51:20 time: 0.2880 data_time: 0.0158 memory: 6332 grad_norm: 2.8523 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6783 loss: 2.6783 2022/08/15 00:42:52 - mmengine - INFO - Epoch(train) [133][300/3757] lr: 4.7547e-02 eta: 2 days, 20:13:44 time: 0.2835 data_time: 0.0141 memory: 6332 grad_norm: 2.8841 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8624 loss: 2.8624 2022/08/15 00:43:20 - mmengine - INFO - Epoch(train) [133][400/3757] lr: 4.7547e-02 eta: 2 days, 12:20:26 time: 0.2827 data_time: 0.0151 memory: 6332 grad_norm: 2.8784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7210 loss: 2.7210 2022/08/15 00:43:49 - mmengine - INFO - Epoch(train) [133][500/3757] lr: 4.7547e-02 eta: 2 days, 7:38:03 time: 0.2846 data_time: 0.0148 memory: 6332 grad_norm: 2.9849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8175 loss: 2.8175 2022/08/15 00:44:18 - mmengine - INFO - Epoch(train) [133][600/3757] lr: 4.7547e-02 eta: 2 days, 4:29:15 time: 0.2844 data_time: 0.0148 memory: 6332 grad_norm: 2.8829 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5674 loss: 2.5674 2022/08/15 00:44:47 - mmengine - INFO - Epoch(train) [133][700/3757] lr: 4.7547e-02 eta: 2 days, 2:15:12 time: 0.2851 data_time: 0.0176 memory: 6332 grad_norm: 2.9015 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6945 loss: 2.6945 2022/08/15 00:45:15 - mmengine - INFO - Epoch(train) [133][800/3757] lr: 4.7547e-02 eta: 2 days, 0:33:29 time: 0.2865 data_time: 0.0157 memory: 6332 grad_norm: 2.9625 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8456 loss: 2.8456 2022/08/15 00:45:44 - mmengine - INFO - Epoch(train) [133][900/3757] lr: 4.7547e-02 eta: 1 day, 23:14:16 time: 0.2859 data_time: 0.0153 memory: 6332 grad_norm: 2.8977 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6185 loss: 2.6185 2022/08/15 00:46:13 - mmengine - INFO - Epoch(train) [133][1000/3757] lr: 4.7547e-02 eta: 1 day, 22:11:59 time: 0.2857 data_time: 0.0161 memory: 6332 grad_norm: 2.8990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6946 loss: 2.6946 2022/08/15 00:46:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 00:46:42 - mmengine - INFO - Epoch(train) [133][1100/3757] lr: 4.7547e-02 eta: 1 day, 21:21:28 time: 0.2883 data_time: 0.0162 memory: 6332 grad_norm: 2.8319 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5790 loss: 2.5790 2022/08/15 00:47:10 - mmengine - INFO - Epoch(train) [133][1200/3757] lr: 4.7547e-02 eta: 1 day, 20:37:53 time: 0.2849 data_time: 0.0153 memory: 6332 grad_norm: 2.9754 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6957 loss: 2.6957 2022/08/15 00:47:39 - mmengine - INFO - Epoch(train) [133][1300/3757] lr: 4.7547e-02 eta: 1 day, 20:01:04 time: 0.2811 data_time: 0.0143 memory: 6332 grad_norm: 2.8998 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9231 loss: 2.9231 2022/08/15 00:48:08 - mmengine - INFO - Epoch(train) [133][1400/3757] lr: 4.7547e-02 eta: 1 day, 19:30:18 time: 0.2843 data_time: 0.0150 memory: 6332 grad_norm: 2.9282 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7268 loss: 2.7268 2022/08/15 00:48:37 - mmengine - INFO - Epoch(train) [133][1500/3757] lr: 4.7547e-02 eta: 1 day, 19:03:08 time: 0.2832 data_time: 0.0144 memory: 6332 grad_norm: 3.0030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5583 loss: 2.5583 2022/08/15 00:49:05 - mmengine - INFO - Epoch(train) [133][1600/3757] lr: 4.7547e-02 eta: 1 day, 18:39:29 time: 0.2843 data_time: 0.0166 memory: 6332 grad_norm: 2.9862 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4422 loss: 2.4422 2022/08/15 00:49:34 - mmengine - INFO - Epoch(train) [133][1700/3757] lr: 4.7547e-02 eta: 1 day, 18:18:50 time: 0.2855 data_time: 0.0160 memory: 6332 grad_norm: 3.0182 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0078 loss: 3.0078 2022/08/15 00:50:03 - mmengine - INFO - Epoch(train) [133][1800/3757] lr: 4.7547e-02 eta: 1 day, 18:00:07 time: 0.2928 data_time: 0.0164 memory: 6332 grad_norm: 2.9228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8063 loss: 2.8063 2022/08/15 00:50:32 - mmengine - INFO - Epoch(train) [133][1900/3757] lr: 4.7547e-02 eta: 1 day, 17:42:41 time: 0.2832 data_time: 0.0152 memory: 6332 grad_norm: 2.8959 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8757 loss: 2.8757 2022/08/15 00:51:00 - mmengine - INFO - Epoch(train) [133][2000/3757] lr: 4.7547e-02 eta: 1 day, 17:27:20 time: 0.2830 data_time: 0.0161 memory: 6332 grad_norm: 2.8817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7324 loss: 2.7324 2022/08/15 00:51:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 00:51:29 - mmengine - INFO - Epoch(train) [133][2100/3757] lr: 4.7547e-02 eta: 1 day, 17:14:27 time: 0.2845 data_time: 0.0168 memory: 6332 grad_norm: 2.9380 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8325 loss: 2.8325 2022/08/15 00:51:58 - mmengine - INFO - Epoch(train) [133][2200/3757] lr: 4.7547e-02 eta: 1 day, 17:02:06 time: 0.2863 data_time: 0.0151 memory: 6332 grad_norm: 3.0260 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9279 loss: 2.9279 2022/08/15 00:52:27 - mmengine - INFO - Epoch(train) [133][2300/3757] lr: 4.7547e-02 eta: 1 day, 16:51:44 time: 0.2835 data_time: 0.0148 memory: 6332 grad_norm: 2.9208 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7551 loss: 2.7551 2022/08/15 00:52:56 - mmengine - INFO - Epoch(train) [133][2400/3757] lr: 4.7547e-02 eta: 1 day, 16:40:54 time: 0.2844 data_time: 0.0158 memory: 6332 grad_norm: 2.8875 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8672 loss: 2.8672 2022/08/15 00:53:25 - mmengine - INFO - Epoch(train) [133][2500/3757] lr: 4.7547e-02 eta: 1 day, 16:31:21 time: 0.2876 data_time: 0.0155 memory: 6332 grad_norm: 2.9952 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6851 loss: 2.6851 2022/08/15 00:53:54 - mmengine - INFO - Epoch(train) [133][2600/3757] lr: 4.7547e-02 eta: 1 day, 16:22:11 time: 0.2855 data_time: 0.0164 memory: 6332 grad_norm: 3.0031 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8242 loss: 2.8242 2022/08/15 00:54:22 - mmengine - INFO - Epoch(train) [133][2700/3757] lr: 4.7547e-02 eta: 1 day, 16:13:47 time: 0.2880 data_time: 0.0164 memory: 6332 grad_norm: 2.9382 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8763 loss: 2.8763 2022/08/15 00:54:51 - mmengine - INFO - Epoch(train) [133][2800/3757] lr: 4.7547e-02 eta: 1 day, 16:05:38 time: 0.2833 data_time: 0.0148 memory: 6332 grad_norm: 2.9364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6182 loss: 2.6182 2022/08/15 00:55:20 - mmengine - INFO - Epoch(train) [133][2900/3757] lr: 4.7547e-02 eta: 1 day, 15:58:10 time: 0.2822 data_time: 0.0149 memory: 6332 grad_norm: 3.0363 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3097 loss: 2.3097 2022/08/15 00:55:49 - mmengine - INFO - Epoch(train) [133][3000/3757] lr: 4.7547e-02 eta: 1 day, 15:51:13 time: 0.2842 data_time: 0.0152 memory: 6332 grad_norm: 2.9528 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8532 loss: 2.8532 2022/08/15 00:56:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 00:56:17 - mmengine - INFO - Epoch(train) [133][3100/3757] lr: 4.7547e-02 eta: 1 day, 15:44:35 time: 0.2834 data_time: 0.0151 memory: 6332 grad_norm: 2.8974 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4742 loss: 2.4742 2022/08/15 00:56:46 - mmengine - INFO - Epoch(train) [133][3200/3757] lr: 4.7547e-02 eta: 1 day, 15:38:33 time: 0.2886 data_time: 0.0172 memory: 6332 grad_norm: 2.8987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7124 loss: 2.7124 2022/08/15 00:57:15 - mmengine - INFO - Epoch(train) [133][3300/3757] lr: 4.7547e-02 eta: 1 day, 15:32:38 time: 0.2851 data_time: 0.0156 memory: 6332 grad_norm: 2.9298 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0704 loss: 3.0704 2022/08/15 00:57:44 - mmengine - INFO - Epoch(train) [133][3400/3757] lr: 4.7547e-02 eta: 1 day, 15:27:25 time: 0.2913 data_time: 0.0180 memory: 6332 grad_norm: 2.9173 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6436 loss: 2.6436 2022/08/15 00:58:13 - mmengine - INFO - Epoch(train) [133][3500/3757] lr: 4.7547e-02 eta: 1 day, 15:22:40 time: 0.2850 data_time: 0.0157 memory: 6332 grad_norm: 2.9180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5274 loss: 2.5274 2022/08/15 00:58:42 - mmengine - INFO - Epoch(train) [133][3600/3757] lr: 4.7547e-02 eta: 1 day, 15:17:54 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 2.8657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0775 loss: 3.0775 2022/08/15 00:59:10 - mmengine - INFO - Epoch(train) [133][3700/3757] lr: 4.7547e-02 eta: 1 day, 15:13:20 time: 0.2853 data_time: 0.0156 memory: 6332 grad_norm: 2.9986 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8409 loss: 2.8409 2022/08/15 00:59:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 00:59:26 - mmengine - INFO - Epoch(train) [133][3757/3757] lr: 4.7547e-02 eta: 1 day, 15:11:37 time: 0.2665 data_time: 0.0147 memory: 6332 grad_norm: 2.9542 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.9258 loss: 2.9258 2022/08/15 00:59:57 - mmengine - INFO - Epoch(train) [134][100/3757] lr: 4.6934e-02 eta: 1 day, 15:00:38 time: 0.2848 data_time: 0.0154 memory: 6332 grad_norm: 2.9512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6721 loss: 2.6721 2022/08/15 01:00:26 - mmengine - INFO - Epoch(train) [134][200/3757] lr: 4.6934e-02 eta: 1 day, 14:56:22 time: 0.2840 data_time: 0.0154 memory: 6332 grad_norm: 2.9504 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1288 loss: 3.1288 2022/08/15 01:00:55 - mmengine - INFO - Epoch(train) [134][300/3757] lr: 4.6934e-02 eta: 1 day, 14:52:22 time: 0.2847 data_time: 0.0152 memory: 6332 grad_norm: 2.8579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7674 loss: 2.7674 2022/08/15 01:01:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:01:24 - mmengine - INFO - Epoch(train) [134][400/3757] lr: 4.6934e-02 eta: 1 day, 14:49:04 time: 0.2910 data_time: 0.0167 memory: 6332 grad_norm: 2.8850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7572 loss: 2.7572 2022/08/15 01:01:52 - mmengine - INFO - Epoch(train) [134][500/3757] lr: 4.6934e-02 eta: 1 day, 14:45:29 time: 0.2827 data_time: 0.0161 memory: 6332 grad_norm: 2.9902 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7673 loss: 2.7673 2022/08/15 01:02:22 - mmengine - INFO - Epoch(train) [134][600/3757] lr: 4.6934e-02 eta: 1 day, 14:42:56 time: 0.3031 data_time: 0.0164 memory: 6332 grad_norm: 3.0129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6192 loss: 2.6192 2022/08/15 01:02:50 - mmengine - INFO - Epoch(train) [134][700/3757] lr: 4.6934e-02 eta: 1 day, 14:39:43 time: 0.2837 data_time: 0.0170 memory: 6332 grad_norm: 2.9878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7866 loss: 2.7866 2022/08/15 01:03:19 - mmengine - INFO - Epoch(train) [134][800/3757] lr: 4.6934e-02 eta: 1 day, 14:36:39 time: 0.2841 data_time: 0.0148 memory: 6332 grad_norm: 2.9234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9136 loss: 2.9136 2022/08/15 01:03:48 - mmengine - INFO - Epoch(train) [134][900/3757] lr: 4.6934e-02 eta: 1 day, 14:33:33 time: 0.2825 data_time: 0.0161 memory: 6332 grad_norm: 2.9083 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6782 loss: 2.6782 2022/08/15 01:04:17 - mmengine - INFO - Epoch(train) [134][1000/3757] lr: 4.6934e-02 eta: 1 day, 14:30:27 time: 0.2837 data_time: 0.0157 memory: 6332 grad_norm: 2.9539 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7688 loss: 2.7688 2022/08/15 01:04:45 - mmengine - INFO - Epoch(train) [134][1100/3757] lr: 4.6934e-02 eta: 1 day, 14:27:39 time: 0.2889 data_time: 0.0190 memory: 6332 grad_norm: 2.9433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9579 loss: 2.9579 2022/08/15 01:05:14 - mmengine - INFO - Epoch(train) [134][1200/3757] lr: 4.6934e-02 eta: 1 day, 14:24:45 time: 0.2851 data_time: 0.0157 memory: 6332 grad_norm: 2.9086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9496 loss: 2.9496 2022/08/15 01:05:43 - mmengine - INFO - Epoch(train) [134][1300/3757] lr: 4.6934e-02 eta: 1 day, 14:22:04 time: 0.2871 data_time: 0.0165 memory: 6332 grad_norm: 2.9487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7184 loss: 2.7184 2022/08/15 01:05:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:06:12 - mmengine - INFO - Epoch(train) [134][1400/3757] lr: 4.6934e-02 eta: 1 day, 14:19:41 time: 0.2861 data_time: 0.0170 memory: 6332 grad_norm: 3.0556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5831 loss: 2.5831 2022/08/15 01:06:41 - mmengine - INFO - Epoch(train) [134][1500/3757] lr: 4.6934e-02 eta: 1 day, 14:17:16 time: 0.2848 data_time: 0.0154 memory: 6332 grad_norm: 2.9053 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7718 loss: 2.7718 2022/08/15 01:07:09 - mmengine - INFO - Epoch(train) [134][1600/3757] lr: 4.6934e-02 eta: 1 day, 14:14:59 time: 0.2864 data_time: 0.0153 memory: 6332 grad_norm: 2.8883 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5608 loss: 2.5608 2022/08/15 01:07:38 - mmengine - INFO - Epoch(train) [134][1700/3757] lr: 4.6934e-02 eta: 1 day, 14:12:38 time: 0.2850 data_time: 0.0154 memory: 6332 grad_norm: 2.8983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5007 loss: 2.5007 2022/08/15 01:08:07 - mmengine - INFO - Epoch(train) [134][1800/3757] lr: 4.6934e-02 eta: 1 day, 14:10:29 time: 0.2854 data_time: 0.0168 memory: 6332 grad_norm: 2.9751 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3212 loss: 2.3212 2022/08/15 01:08:36 - mmengine - INFO - Epoch(train) [134][1900/3757] lr: 4.6934e-02 eta: 1 day, 14:09:02 time: 0.3025 data_time: 0.0153 memory: 6332 grad_norm: 2.8834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7390 loss: 2.7390 2022/08/15 01:09:05 - mmengine - INFO - Epoch(train) [134][2000/3757] lr: 4.6934e-02 eta: 1 day, 14:06:58 time: 0.2898 data_time: 0.0177 memory: 6332 grad_norm: 2.9279 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6573 loss: 2.6573 2022/08/15 01:09:34 - mmengine - INFO - Epoch(train) [134][2100/3757] lr: 4.6934e-02 eta: 1 day, 14:04:47 time: 0.2850 data_time: 0.0151 memory: 6332 grad_norm: 2.9589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0012 loss: 3.0012 2022/08/15 01:10:03 - mmengine - INFO - Epoch(train) [134][2200/3757] lr: 4.6934e-02 eta: 1 day, 14:02:55 time: 0.2889 data_time: 0.0170 memory: 6332 grad_norm: 2.9220 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7590 loss: 2.7590 2022/08/15 01:10:32 - mmengine - INFO - Epoch(train) [134][2300/3757] lr: 4.6934e-02 eta: 1 day, 14:00:57 time: 0.2862 data_time: 0.0163 memory: 6332 grad_norm: 2.9149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8583 loss: 2.8583 2022/08/15 01:10:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:11:01 - mmengine - INFO - Epoch(train) [134][2400/3757] lr: 4.6934e-02 eta: 1 day, 13:59:23 time: 0.2845 data_time: 0.0153 memory: 6332 grad_norm: 2.9268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6957 loss: 2.6957 2022/08/15 01:11:30 - mmengine - INFO - Epoch(train) [134][2500/3757] lr: 4.6934e-02 eta: 1 day, 13:57:26 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 2.9414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0240 loss: 3.0240 2022/08/15 01:11:59 - mmengine - INFO - Epoch(train) [134][2600/3757] lr: 4.6934e-02 eta: 1 day, 13:55:41 time: 0.2861 data_time: 0.0146 memory: 6332 grad_norm: 2.9268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6228 loss: 2.6228 2022/08/15 01:12:27 - mmengine - INFO - Epoch(train) [134][2700/3757] lr: 4.6934e-02 eta: 1 day, 13:53:53 time: 0.2885 data_time: 0.0162 memory: 6332 grad_norm: 2.8728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5617 loss: 2.5617 2022/08/15 01:12:56 - mmengine - INFO - Epoch(train) [134][2800/3757] lr: 4.6934e-02 eta: 1 day, 13:52:14 time: 0.2856 data_time: 0.0174 memory: 6332 grad_norm: 2.8966 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8405 loss: 2.8405 2022/08/15 01:13:25 - mmengine - INFO - Epoch(train) [134][2900/3757] lr: 4.6934e-02 eta: 1 day, 13:50:47 time: 0.2901 data_time: 0.0158 memory: 6332 grad_norm: 2.9038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6874 loss: 2.6874 2022/08/15 01:13:54 - mmengine - INFO - Epoch(train) [134][3000/3757] lr: 4.6934e-02 eta: 1 day, 13:49:06 time: 0.2838 data_time: 0.0147 memory: 6332 grad_norm: 2.8750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9850 loss: 2.9850 2022/08/15 01:14:23 - mmengine - INFO - Epoch(train) [134][3100/3757] lr: 4.6934e-02 eta: 1 day, 13:47:22 time: 0.2854 data_time: 0.0156 memory: 6332 grad_norm: 2.9854 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5787 loss: 2.5787 2022/08/15 01:14:52 - mmengine - INFO - Epoch(train) [134][3200/3757] lr: 4.6934e-02 eta: 1 day, 13:46:05 time: 0.2840 data_time: 0.0151 memory: 6332 grad_norm: 3.0044 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6932 loss: 2.6932 2022/08/15 01:15:21 - mmengine - INFO - Epoch(train) [134][3300/3757] lr: 4.6934e-02 eta: 1 day, 13:44:42 time: 0.2842 data_time: 0.0156 memory: 6332 grad_norm: 2.9101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7424 loss: 2.7424 2022/08/15 01:15:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:15:50 - mmengine - INFO - Epoch(train) [134][3400/3757] lr: 4.6934e-02 eta: 1 day, 13:43:23 time: 0.2831 data_time: 0.0154 memory: 6332 grad_norm: 2.9947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5168 loss: 2.5168 2022/08/15 01:16:19 - mmengine - INFO - Epoch(train) [134][3500/3757] lr: 4.6934e-02 eta: 1 day, 13:42:00 time: 0.2915 data_time: 0.0165 memory: 6332 grad_norm: 2.9226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6388 loss: 2.6388 2022/08/15 01:16:48 - mmengine - INFO - Epoch(train) [134][3600/3757] lr: 4.6934e-02 eta: 1 day, 13:40:26 time: 0.2845 data_time: 0.0160 memory: 6332 grad_norm: 2.8471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6290 loss: 2.6290 2022/08/15 01:17:17 - mmengine - INFO - Epoch(train) [134][3700/3757] lr: 4.6934e-02 eta: 1 day, 13:39:12 time: 0.2854 data_time: 0.0165 memory: 6332 grad_norm: 2.9617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9808 loss: 2.9808 2022/08/15 01:17:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:17:33 - mmengine - INFO - Epoch(train) [134][3757/3757] lr: 4.6934e-02 eta: 1 day, 13:38:40 time: 0.2630 data_time: 0.0133 memory: 6332 grad_norm: 2.9622 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7861 loss: 2.7861 2022/08/15 01:18:04 - mmengine - INFO - Epoch(train) [135][100/3757] lr: 4.6322e-02 eta: 1 day, 13:34:37 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 2.9583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6732 loss: 2.6732 2022/08/15 01:18:33 - mmengine - INFO - Epoch(train) [135][200/3757] lr: 4.6322e-02 eta: 1 day, 13:33:12 time: 0.2857 data_time: 0.0167 memory: 6332 grad_norm: 2.9384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9048 loss: 2.9048 2022/08/15 01:19:02 - mmengine - INFO - Epoch(train) [135][300/3757] lr: 4.6322e-02 eta: 1 day, 13:31:45 time: 0.2834 data_time: 0.0154 memory: 6332 grad_norm: 2.9820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3775 loss: 2.3775 2022/08/15 01:19:30 - mmengine - INFO - Epoch(train) [135][400/3757] lr: 4.6322e-02 eta: 1 day, 13:30:23 time: 0.2861 data_time: 0.0150 memory: 6332 grad_norm: 2.9331 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6805 loss: 2.6805 2022/08/15 01:19:59 - mmengine - INFO - Epoch(train) [135][500/3757] lr: 4.6322e-02 eta: 1 day, 13:29:07 time: 0.2834 data_time: 0.0170 memory: 6332 grad_norm: 2.9602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7088 loss: 2.7088 2022/08/15 01:20:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:20:28 - mmengine - INFO - Epoch(train) [135][600/3757] lr: 4.6322e-02 eta: 1 day, 13:27:53 time: 0.2848 data_time: 0.0179 memory: 6332 grad_norm: 2.9027 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8978 loss: 2.8978 2022/08/15 01:20:57 - mmengine - INFO - Epoch(train) [135][700/3757] lr: 4.6322e-02 eta: 1 day, 13:26:36 time: 0.2840 data_time: 0.0162 memory: 6332 grad_norm: 2.8814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7424 loss: 2.7424 2022/08/15 01:21:26 - mmengine - INFO - Epoch(train) [135][800/3757] lr: 4.6322e-02 eta: 1 day, 13:25:19 time: 0.2884 data_time: 0.0195 memory: 6332 grad_norm: 2.9866 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7032 loss: 2.7032 2022/08/15 01:21:55 - mmengine - INFO - Epoch(train) [135][900/3757] lr: 4.6322e-02 eta: 1 day, 13:24:04 time: 0.2872 data_time: 0.0172 memory: 6332 grad_norm: 2.9232 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8635 loss: 2.8635 2022/08/15 01:22:23 - mmengine - INFO - Epoch(train) [135][1000/3757] lr: 4.6322e-02 eta: 1 day, 13:22:49 time: 0.2814 data_time: 0.0147 memory: 6332 grad_norm: 3.0376 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7026 loss: 2.7026 2022/08/15 01:22:52 - mmengine - INFO - Epoch(train) [135][1100/3757] lr: 4.6322e-02 eta: 1 day, 13:21:41 time: 0.2832 data_time: 0.0152 memory: 6332 grad_norm: 2.9266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8675 loss: 2.8675 2022/08/15 01:23:21 - mmengine - INFO - Epoch(train) [135][1200/3757] lr: 4.6322e-02 eta: 1 day, 13:20:38 time: 0.2832 data_time: 0.0149 memory: 6332 grad_norm: 2.9166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7807 loss: 2.7807 2022/08/15 01:23:50 - mmengine - INFO - Epoch(train) [135][1300/3757] lr: 4.6322e-02 eta: 1 day, 13:19:24 time: 0.2873 data_time: 0.0164 memory: 6332 grad_norm: 3.0883 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5643 loss: 2.5643 2022/08/15 01:24:19 - mmengine - INFO - Epoch(train) [135][1400/3757] lr: 4.6322e-02 eta: 1 day, 13:18:13 time: 0.2869 data_time: 0.0176 memory: 6332 grad_norm: 2.8873 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9020 loss: 2.9020 2022/08/15 01:24:47 - mmengine - INFO - Epoch(train) [135][1500/3757] lr: 4.6322e-02 eta: 1 day, 13:17:03 time: 0.2847 data_time: 0.0156 memory: 6332 grad_norm: 2.9840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7924 loss: 2.7924 2022/08/15 01:25:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:25:16 - mmengine - INFO - Epoch(train) [135][1600/3757] lr: 4.6322e-02 eta: 1 day, 13:15:50 time: 0.2838 data_time: 0.0161 memory: 6332 grad_norm: 2.9978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7906 loss: 2.7906 2022/08/15 01:25:45 - mmengine - INFO - Epoch(train) [135][1700/3757] lr: 4.6322e-02 eta: 1 day, 13:14:41 time: 0.2839 data_time: 0.0152 memory: 6332 grad_norm: 2.9940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5302 loss: 2.5302 2022/08/15 01:26:14 - mmengine - INFO - Epoch(train) [135][1800/3757] lr: 4.6322e-02 eta: 1 day, 13:13:36 time: 0.2865 data_time: 0.0161 memory: 6332 grad_norm: 3.1256 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6541 loss: 2.6541 2022/08/15 01:26:43 - mmengine - INFO - Epoch(train) [135][1900/3757] lr: 4.6322e-02 eta: 1 day, 13:12:37 time: 0.2838 data_time: 0.0151 memory: 6332 grad_norm: 2.9647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9266 loss: 2.9266 2022/08/15 01:27:11 - mmengine - INFO - Epoch(train) [135][2000/3757] lr: 4.6322e-02 eta: 1 day, 13:11:32 time: 0.2868 data_time: 0.0174 memory: 6332 grad_norm: 3.0293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1135 loss: 3.1135 2022/08/15 01:27:41 - mmengine - INFO - Epoch(train) [135][2100/3757] lr: 4.6322e-02 eta: 1 day, 13:10:38 time: 0.2944 data_time: 0.0207 memory: 6332 grad_norm: 2.8775 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5741 loss: 2.5741 2022/08/15 01:28:09 - mmengine - INFO - Epoch(train) [135][2200/3757] lr: 4.6322e-02 eta: 1 day, 13:09:32 time: 0.2838 data_time: 0.0172 memory: 6332 grad_norm: 2.9776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8059 loss: 2.8059 2022/08/15 01:28:38 - mmengine - INFO - Epoch(train) [135][2300/3757] lr: 4.6322e-02 eta: 1 day, 13:08:31 time: 0.2910 data_time: 0.0151 memory: 6332 grad_norm: 2.9977 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6754 loss: 2.6754 2022/08/15 01:29:07 - mmengine - INFO - Epoch(train) [135][2400/3757] lr: 4.6322e-02 eta: 1 day, 13:07:34 time: 0.2870 data_time: 0.0161 memory: 6332 grad_norm: 2.8628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5759 loss: 2.5759 2022/08/15 01:29:36 - mmengine - INFO - Epoch(train) [135][2500/3757] lr: 4.6322e-02 eta: 1 day, 13:06:28 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 2.9160 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7081 loss: 2.7081 2022/08/15 01:29:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:30:05 - mmengine - INFO - Epoch(train) [135][2600/3757] lr: 4.6322e-02 eta: 1 day, 13:05:34 time: 0.2887 data_time: 0.0203 memory: 6332 grad_norm: 2.9590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6210 loss: 2.6210 2022/08/15 01:30:34 - mmengine - INFO - Epoch(train) [135][2700/3757] lr: 4.6322e-02 eta: 1 day, 13:04:48 time: 0.2864 data_time: 0.0153 memory: 6332 grad_norm: 3.0527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0333 loss: 3.0333 2022/08/15 01:31:03 - mmengine - INFO - Epoch(train) [135][2800/3757] lr: 4.6322e-02 eta: 1 day, 13:03:52 time: 0.2861 data_time: 0.0161 memory: 6332 grad_norm: 2.9041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5779 loss: 2.5779 2022/08/15 01:31:32 - mmengine - INFO - Epoch(train) [135][2900/3757] lr: 4.6322e-02 eta: 1 day, 13:03:04 time: 0.2843 data_time: 0.0152 memory: 6332 grad_norm: 2.9309 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8507 loss: 2.8507 2022/08/15 01:32:01 - mmengine - INFO - Epoch(train) [135][3000/3757] lr: 4.6322e-02 eta: 1 day, 13:02:11 time: 0.2890 data_time: 0.0168 memory: 6332 grad_norm: 2.8962 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7854 loss: 2.7854 2022/08/15 01:32:30 - mmengine - INFO - Epoch(train) [135][3100/3757] lr: 4.6322e-02 eta: 1 day, 13:01:16 time: 0.2863 data_time: 0.0167 memory: 6332 grad_norm: 2.9690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7022 loss: 2.7022 2022/08/15 01:32:59 - mmengine - INFO - Epoch(train) [135][3200/3757] lr: 4.6322e-02 eta: 1 day, 13:00:26 time: 0.2943 data_time: 0.0177 memory: 6332 grad_norm: 3.0046 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0119 loss: 3.0119 2022/08/15 01:33:27 - mmengine - INFO - Epoch(train) [135][3300/3757] lr: 4.6322e-02 eta: 1 day, 12:59:27 time: 0.2857 data_time: 0.0159 memory: 6332 grad_norm: 3.0362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3545 loss: 2.3545 2022/08/15 01:33:56 - mmengine - INFO - Epoch(train) [135][3400/3757] lr: 4.6322e-02 eta: 1 day, 12:58:33 time: 0.2870 data_time: 0.0163 memory: 6332 grad_norm: 2.9781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9035 loss: 2.9035 2022/08/15 01:34:25 - mmengine - INFO - Epoch(train) [135][3500/3757] lr: 4.6322e-02 eta: 1 day, 12:57:35 time: 0.2845 data_time: 0.0161 memory: 6332 grad_norm: 2.9792 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6821 loss: 2.6821 2022/08/15 01:34:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:34:54 - mmengine - INFO - Epoch(train) [135][3600/3757] lr: 4.6322e-02 eta: 1 day, 12:56:39 time: 0.2842 data_time: 0.0163 memory: 6332 grad_norm: 3.0014 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8001 loss: 2.8001 2022/08/15 01:35:23 - mmengine - INFO - Epoch(train) [135][3700/3757] lr: 4.6322e-02 eta: 1 day, 12:55:54 time: 0.2852 data_time: 0.0171 memory: 6332 grad_norm: 2.9948 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5424 loss: 2.5424 2022/08/15 01:35:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:35:39 - mmengine - INFO - Epoch(train) [135][3757/3757] lr: 4.6322e-02 eta: 1 day, 12:55:35 time: 0.2677 data_time: 0.0142 memory: 6332 grad_norm: 2.9593 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8283 loss: 2.8283 2022/08/15 01:36:44 - mmengine - INFO - Epoch(val) [135][100/310] eta: 0:00:47 time: 0.2272 data_time: 0.1301 memory: 1147 2022/08/15 01:37:07 - mmengine - INFO - Epoch(val) [135][200/310] eta: 0:00:24 time: 0.2221 data_time: 0.1292 memory: 1147 2022/08/15 01:37:28 - mmengine - INFO - Epoch(val) [135][300/310] eta: 0:00:02 time: 0.2313 data_time: 0.1346 memory: 1147 2022/08/15 01:37:33 - mmengine - INFO - Epoch(val) [135][310/310] acc/top1: 0.4526 acc/top5: 0.7238 acc/mean1: 0.4527 2022/08/15 01:37:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_131.pth is removed 2022/08/15 01:37:36 - mmengine - INFO - The best checkpoint with 0.4526 acc/top1 at 136 epoch is saved to best_acc/top1_epoch_136.pth. 2022/08/15 01:38:06 - mmengine - INFO - Epoch(train) [136][100/3757] lr: 4.5710e-02 eta: 1 day, 12:51:56 time: 0.2858 data_time: 0.0156 memory: 6332 grad_norm: 2.9701 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8952 loss: 2.8952 2022/08/15 01:38:34 - mmengine - INFO - Epoch(train) [136][200/3757] lr: 4.5710e-02 eta: 1 day, 12:51:01 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 3.0071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4253 loss: 2.4253 2022/08/15 01:39:03 - mmengine - INFO - Epoch(train) [136][300/3757] lr: 4.5710e-02 eta: 1 day, 12:50:17 time: 0.2861 data_time: 0.0154 memory: 6332 grad_norm: 3.0080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4839 loss: 2.4839 2022/08/15 01:39:33 - mmengine - INFO - Epoch(train) [136][400/3757] lr: 4.5710e-02 eta: 1 day, 12:49:37 time: 0.2863 data_time: 0.0181 memory: 6332 grad_norm: 2.8703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4140 loss: 2.4140 2022/08/15 01:40:02 - mmengine - INFO - Epoch(train) [136][500/3757] lr: 4.5710e-02 eta: 1 day, 12:48:56 time: 0.2849 data_time: 0.0165 memory: 6332 grad_norm: 2.9215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7315 loss: 2.7315 2022/08/15 01:40:31 - mmengine - INFO - Epoch(train) [136][600/3757] lr: 4.5710e-02 eta: 1 day, 12:48:10 time: 0.2886 data_time: 0.0169 memory: 6332 grad_norm: 2.9666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4946 loss: 2.4946 2022/08/15 01:40:59 - mmengine - INFO - Epoch(train) [136][700/3757] lr: 4.5710e-02 eta: 1 day, 12:47:23 time: 0.2874 data_time: 0.0169 memory: 6332 grad_norm: 2.9826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8798 loss: 2.8798 2022/08/15 01:41:28 - mmengine - INFO - Epoch(train) [136][800/3757] lr: 4.5710e-02 eta: 1 day, 12:46:39 time: 0.2878 data_time: 0.0172 memory: 6332 grad_norm: 3.0021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8157 loss: 2.8157 2022/08/15 01:41:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:41:57 - mmengine - INFO - Epoch(train) [136][900/3757] lr: 4.5710e-02 eta: 1 day, 12:45:52 time: 0.2902 data_time: 0.0164 memory: 6332 grad_norm: 2.9119 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1338 loss: 3.1338 2022/08/15 01:42:26 - mmengine - INFO - Epoch(train) [136][1000/3757] lr: 4.5710e-02 eta: 1 day, 12:45:05 time: 0.2859 data_time: 0.0162 memory: 6332 grad_norm: 2.8410 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6135 loss: 2.6135 2022/08/15 01:42:55 - mmengine - INFO - Epoch(train) [136][1100/3757] lr: 4.5710e-02 eta: 1 day, 12:44:27 time: 0.2862 data_time: 0.0171 memory: 6332 grad_norm: 2.9057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7065 loss: 2.7065 2022/08/15 01:43:24 - mmengine - INFO - Epoch(train) [136][1200/3757] lr: 4.5710e-02 eta: 1 day, 12:43:40 time: 0.2858 data_time: 0.0175 memory: 6332 grad_norm: 3.0593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7936 loss: 2.7936 2022/08/15 01:43:53 - mmengine - INFO - Epoch(train) [136][1300/3757] lr: 4.5710e-02 eta: 1 day, 12:42:55 time: 0.2828 data_time: 0.0154 memory: 6332 grad_norm: 2.9965 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6669 loss: 2.6669 2022/08/15 01:44:22 - mmengine - INFO - Epoch(train) [136][1400/3757] lr: 4.5710e-02 eta: 1 day, 12:42:07 time: 0.2845 data_time: 0.0165 memory: 6332 grad_norm: 2.9389 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5874 loss: 2.5874 2022/08/15 01:44:51 - mmengine - INFO - Epoch(train) [136][1500/3757] lr: 4.5710e-02 eta: 1 day, 12:41:18 time: 0.2849 data_time: 0.0157 memory: 6332 grad_norm: 2.9818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8102 loss: 2.8102 2022/08/15 01:45:20 - mmengine - INFO - Epoch(train) [136][1600/3757] lr: 4.5710e-02 eta: 1 day, 12:40:32 time: 0.2856 data_time: 0.0172 memory: 6332 grad_norm: 3.0270 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7000 loss: 2.7000 2022/08/15 01:45:49 - mmengine - INFO - Epoch(train) [136][1700/3757] lr: 4.5710e-02 eta: 1 day, 12:39:47 time: 0.2837 data_time: 0.0169 memory: 6332 grad_norm: 2.9897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5744 loss: 2.5744 2022/08/15 01:46:18 - mmengine - INFO - Epoch(train) [136][1800/3757] lr: 4.5710e-02 eta: 1 day, 12:39:13 time: 0.2924 data_time: 0.0179 memory: 6332 grad_norm: 2.9489 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7258 loss: 2.7258 2022/08/15 01:46:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:46:47 - mmengine - INFO - Epoch(train) [136][1900/3757] lr: 4.5710e-02 eta: 1 day, 12:38:29 time: 0.2859 data_time: 0.0156 memory: 6332 grad_norm: 2.9165 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6466 loss: 2.6466 2022/08/15 01:47:16 - mmengine - INFO - Epoch(train) [136][2000/3757] lr: 4.5710e-02 eta: 1 day, 12:37:48 time: 0.2911 data_time: 0.0183 memory: 6332 grad_norm: 2.9520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3970 loss: 2.3970 2022/08/15 01:47:44 - mmengine - INFO - Epoch(train) [136][2100/3757] lr: 4.5710e-02 eta: 1 day, 12:37:02 time: 0.2880 data_time: 0.0188 memory: 6332 grad_norm: 2.9498 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7188 loss: 2.7188 2022/08/15 01:48:13 - mmengine - INFO - Epoch(train) [136][2200/3757] lr: 4.5710e-02 eta: 1 day, 12:36:17 time: 0.2853 data_time: 0.0161 memory: 6332 grad_norm: 3.0280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5044 loss: 2.5044 2022/08/15 01:48:42 - mmengine - INFO - Epoch(train) [136][2300/3757] lr: 4.5710e-02 eta: 1 day, 12:35:41 time: 0.2898 data_time: 0.0183 memory: 6332 grad_norm: 2.9197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5322 loss: 2.5322 2022/08/15 01:49:11 - mmengine - INFO - Epoch(train) [136][2400/3757] lr: 4.5710e-02 eta: 1 day, 12:35:00 time: 0.2845 data_time: 0.0165 memory: 6332 grad_norm: 2.9187 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0961 loss: 3.0961 2022/08/15 01:49:41 - mmengine - INFO - Epoch(train) [136][2500/3757] lr: 4.5710e-02 eta: 1 day, 12:34:25 time: 0.2958 data_time: 0.0176 memory: 6332 grad_norm: 3.0044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4806 loss: 2.4806 2022/08/15 01:50:09 - mmengine - INFO - Epoch(train) [136][2600/3757] lr: 4.5710e-02 eta: 1 day, 12:33:42 time: 0.2881 data_time: 0.0225 memory: 6332 grad_norm: 3.0621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6912 loss: 2.6912 2022/08/15 01:50:38 - mmengine - INFO - Epoch(train) [136][2700/3757] lr: 4.5710e-02 eta: 1 day, 12:33:02 time: 0.2926 data_time: 0.0250 memory: 6332 grad_norm: 2.9570 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7928 loss: 2.7928 2022/08/15 01:51:08 - mmengine - INFO - Epoch(train) [136][2800/3757] lr: 4.5710e-02 eta: 1 day, 12:32:24 time: 0.2844 data_time: 0.0150 memory: 6332 grad_norm: 2.9793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7928 loss: 2.7928 2022/08/15 01:51:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:51:37 - mmengine - INFO - Epoch(train) [136][2900/3757] lr: 4.5710e-02 eta: 1 day, 12:31:49 time: 0.2914 data_time: 0.0161 memory: 6332 grad_norm: 2.9260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7725 loss: 2.7725 2022/08/15 01:52:06 - mmengine - INFO - Epoch(train) [136][3000/3757] lr: 4.5710e-02 eta: 1 day, 12:31:09 time: 0.2836 data_time: 0.0155 memory: 6332 grad_norm: 3.0127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7240 loss: 2.7240 2022/08/15 01:52:35 - mmengine - INFO - Epoch(train) [136][3100/3757] lr: 4.5710e-02 eta: 1 day, 12:30:34 time: 0.2858 data_time: 0.0158 memory: 6332 grad_norm: 2.9695 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8009 loss: 2.8009 2022/08/15 01:53:04 - mmengine - INFO - Epoch(train) [136][3200/3757] lr: 4.5710e-02 eta: 1 day, 12:30:05 time: 0.2840 data_time: 0.0157 memory: 6332 grad_norm: 2.9599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7492 loss: 2.7492 2022/08/15 01:53:33 - mmengine - INFO - Epoch(train) [136][3300/3757] lr: 4.5710e-02 eta: 1 day, 12:29:28 time: 0.2855 data_time: 0.0151 memory: 6332 grad_norm: 2.8668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7416 loss: 2.7416 2022/08/15 01:54:02 - mmengine - INFO - Epoch(train) [136][3400/3757] lr: 4.5710e-02 eta: 1 day, 12:28:52 time: 0.2925 data_time: 0.0163 memory: 6332 grad_norm: 3.0141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5391 loss: 2.5391 2022/08/15 01:54:31 - mmengine - INFO - Epoch(train) [136][3500/3757] lr: 4.5710e-02 eta: 1 day, 12:28:14 time: 0.2859 data_time: 0.0173 memory: 6332 grad_norm: 2.9872 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9071 loss: 2.9071 2022/08/15 01:55:00 - mmengine - INFO - Epoch(train) [136][3600/3757] lr: 4.5710e-02 eta: 1 day, 12:27:34 time: 0.2894 data_time: 0.0191 memory: 6332 grad_norm: 2.9322 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4613 loss: 2.4613 2022/08/15 01:55:29 - mmengine - INFO - Epoch(train) [136][3700/3757] lr: 4.5710e-02 eta: 1 day, 12:26:55 time: 0.2872 data_time: 0.0168 memory: 6332 grad_norm: 2.9325 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9511 loss: 2.9511 2022/08/15 01:55:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:55:45 - mmengine - INFO - Epoch(train) [136][3757/3757] lr: 4.5710e-02 eta: 1 day, 12:26:37 time: 0.2647 data_time: 0.0138 memory: 6332 grad_norm: 3.0068 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.8021 loss: 2.8021 2022/08/15 01:55:45 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/15 01:56:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 01:56:19 - mmengine - INFO - Epoch(train) [137][100/3757] lr: 4.5099e-02 eta: 1 day, 12:23:54 time: 0.2854 data_time: 0.0157 memory: 6332 grad_norm: 2.9686 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4943 loss: 2.4943 2022/08/15 01:56:48 - mmengine - INFO - Epoch(train) [137][200/3757] lr: 4.5099e-02 eta: 1 day, 12:23:10 time: 0.2843 data_time: 0.0143 memory: 6332 grad_norm: 3.0896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5802 loss: 2.5802 2022/08/15 01:57:16 - mmengine - INFO - Epoch(train) [137][300/3757] lr: 4.5099e-02 eta: 1 day, 12:22:27 time: 0.2842 data_time: 0.0159 memory: 6332 grad_norm: 2.9673 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1121 loss: 3.1121 2022/08/15 01:57:45 - mmengine - INFO - Epoch(train) [137][400/3757] lr: 4.5099e-02 eta: 1 day, 12:21:46 time: 0.2837 data_time: 0.0148 memory: 6332 grad_norm: 2.9323 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6914 loss: 2.6914 2022/08/15 01:58:14 - mmengine - INFO - Epoch(train) [137][500/3757] lr: 4.5099e-02 eta: 1 day, 12:21:05 time: 0.2890 data_time: 0.0189 memory: 6332 grad_norm: 3.0128 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5406 loss: 2.5406 2022/08/15 01:58:43 - mmengine - INFO - Epoch(train) [137][600/3757] lr: 4.5099e-02 eta: 1 day, 12:20:23 time: 0.2836 data_time: 0.0159 memory: 6332 grad_norm: 2.9875 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9801 loss: 2.9801 2022/08/15 01:59:12 - mmengine - INFO - Epoch(train) [137][700/3757] lr: 4.5099e-02 eta: 1 day, 12:19:42 time: 0.2870 data_time: 0.0152 memory: 6332 grad_norm: 2.9783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6399 loss: 2.6399 2022/08/15 01:59:41 - mmengine - INFO - Epoch(train) [137][800/3757] lr: 4.5099e-02 eta: 1 day, 12:19:04 time: 0.2851 data_time: 0.0166 memory: 6332 grad_norm: 3.0642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7591 loss: 2.7591 2022/08/15 02:00:13 - mmengine - INFO - Epoch(train) [137][900/3757] lr: 4.5099e-02 eta: 1 day, 12:19:51 time: 0.4346 data_time: 0.0247 memory: 6332 grad_norm: 3.0289 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5712 loss: 2.5712 2022/08/15 02:00:42 - mmengine - INFO - Epoch(train) [137][1000/3757] lr: 4.5099e-02 eta: 1 day, 12:19:17 time: 0.2852 data_time: 0.0157 memory: 6332 grad_norm: 2.9589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4119 loss: 2.4119 2022/08/15 02:00:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:01:11 - mmengine - INFO - Epoch(train) [137][1100/3757] lr: 4.5099e-02 eta: 1 day, 12:18:47 time: 0.2964 data_time: 0.0189 memory: 6332 grad_norm: 2.9891 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8135 loss: 2.8135 2022/08/15 02:01:40 - mmengine - INFO - Epoch(train) [137][1200/3757] lr: 4.5099e-02 eta: 1 day, 12:18:09 time: 0.2852 data_time: 0.0167 memory: 6332 grad_norm: 2.9257 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6146 loss: 2.6146 2022/08/15 02:02:09 - mmengine - INFO - Epoch(train) [137][1300/3757] lr: 4.5099e-02 eta: 1 day, 12:17:31 time: 0.2862 data_time: 0.0170 memory: 6332 grad_norm: 2.9613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6632 loss: 2.6632 2022/08/15 02:02:38 - mmengine - INFO - Epoch(train) [137][1400/3757] lr: 4.5099e-02 eta: 1 day, 12:16:50 time: 0.2841 data_time: 0.0169 memory: 6332 grad_norm: 3.0808 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7738 loss: 2.7738 2022/08/15 02:03:06 - mmengine - INFO - Epoch(train) [137][1500/3757] lr: 4.5099e-02 eta: 1 day, 12:16:08 time: 0.2840 data_time: 0.0160 memory: 6332 grad_norm: 3.0095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8183 loss: 2.8183 2022/08/15 02:03:35 - mmengine - INFO - Epoch(train) [137][1600/3757] lr: 4.5099e-02 eta: 1 day, 12:15:33 time: 0.2853 data_time: 0.0155 memory: 6332 grad_norm: 2.9639 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6930 loss: 2.6930 2022/08/15 02:04:04 - mmengine - INFO - Epoch(train) [137][1700/3757] lr: 4.5099e-02 eta: 1 day, 12:14:57 time: 0.2851 data_time: 0.0158 memory: 6332 grad_norm: 3.0101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/08/15 02:04:33 - mmengine - INFO - Epoch(train) [137][1800/3757] lr: 4.5099e-02 eta: 1 day, 12:14:21 time: 0.2858 data_time: 0.0156 memory: 6332 grad_norm: 2.9934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8353 loss: 2.8353 2022/08/15 02:05:02 - mmengine - INFO - Epoch(train) [137][1900/3757] lr: 4.5099e-02 eta: 1 day, 12:13:40 time: 0.2843 data_time: 0.0162 memory: 6332 grad_norm: 2.9121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7210 loss: 2.7210 2022/08/15 02:05:31 - mmengine - INFO - Epoch(train) [137][2000/3757] lr: 4.5099e-02 eta: 1 day, 12:13:00 time: 0.2876 data_time: 0.0165 memory: 6332 grad_norm: 3.0263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5384 loss: 2.5384 2022/08/15 02:05:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:06:00 - mmengine - INFO - Epoch(train) [137][2100/3757] lr: 4.5099e-02 eta: 1 day, 12:12:25 time: 0.2899 data_time: 0.0178 memory: 6332 grad_norm: 2.9803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8284 loss: 2.8284 2022/08/15 02:06:29 - mmengine - INFO - Epoch(train) [137][2200/3757] lr: 4.5099e-02 eta: 1 day, 12:11:46 time: 0.2864 data_time: 0.0176 memory: 6332 grad_norm: 3.0664 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9834 loss: 2.9834 2022/08/15 02:06:58 - mmengine - INFO - Epoch(train) [137][2300/3757] lr: 4.5099e-02 eta: 1 day, 12:11:04 time: 0.2870 data_time: 0.0164 memory: 6332 grad_norm: 3.0444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6603 loss: 2.6603 2022/08/15 02:07:26 - mmengine - INFO - Epoch(train) [137][2400/3757] lr: 4.5099e-02 eta: 1 day, 12:10:24 time: 0.2864 data_time: 0.0158 memory: 6332 grad_norm: 2.9260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9156 loss: 2.9156 2022/08/15 02:07:55 - mmengine - INFO - Epoch(train) [137][2500/3757] lr: 4.5099e-02 eta: 1 day, 12:09:46 time: 0.2855 data_time: 0.0164 memory: 6332 grad_norm: 2.9102 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/08/15 02:08:24 - mmengine - INFO - Epoch(train) [137][2600/3757] lr: 4.5099e-02 eta: 1 day, 12:09:07 time: 0.2850 data_time: 0.0168 memory: 6332 grad_norm: 3.0390 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7715 loss: 2.7715 2022/08/15 02:08:53 - mmengine - INFO - Epoch(train) [137][2700/3757] lr: 4.5099e-02 eta: 1 day, 12:08:30 time: 0.2890 data_time: 0.0166 memory: 6332 grad_norm: 2.9416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5834 loss: 2.5834 2022/08/15 02:09:22 - mmengine - INFO - Epoch(train) [137][2800/3757] lr: 4.5099e-02 eta: 1 day, 12:07:50 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 2.9852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6305 loss: 2.6305 2022/08/15 02:09:51 - mmengine - INFO - Epoch(train) [137][2900/3757] lr: 4.5099e-02 eta: 1 day, 12:07:12 time: 0.2861 data_time: 0.0177 memory: 6332 grad_norm: 3.0545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8317 loss: 2.8317 2022/08/15 02:10:20 - mmengine - INFO - Epoch(train) [137][3000/3757] lr: 4.5099e-02 eta: 1 day, 12:06:35 time: 0.2885 data_time: 0.0200 memory: 6332 grad_norm: 2.9230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5406 loss: 2.5406 2022/08/15 02:10:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:10:49 - mmengine - INFO - Epoch(train) [137][3100/3757] lr: 4.5099e-02 eta: 1 day, 12:05:56 time: 0.2874 data_time: 0.0172 memory: 6332 grad_norm: 3.0572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4787 loss: 2.4787 2022/08/15 02:11:17 - mmengine - INFO - Epoch(train) [137][3200/3757] lr: 4.5099e-02 eta: 1 day, 12:05:19 time: 0.2848 data_time: 0.0159 memory: 6332 grad_norm: 3.0284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8726 loss: 2.8726 2022/08/15 02:11:46 - mmengine - INFO - Epoch(train) [137][3300/3757] lr: 4.5099e-02 eta: 1 day, 12:04:43 time: 0.2863 data_time: 0.0159 memory: 6332 grad_norm: 2.9503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8266 loss: 2.8266 2022/08/15 02:12:15 - mmengine - INFO - Epoch(train) [137][3400/3757] lr: 4.5099e-02 eta: 1 day, 12:04:05 time: 0.2865 data_time: 0.0175 memory: 6332 grad_norm: 2.9552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6952 loss: 2.6952 2022/08/15 02:12:44 - mmengine - INFO - Epoch(train) [137][3500/3757] lr: 4.5099e-02 eta: 1 day, 12:03:32 time: 0.2890 data_time: 0.0212 memory: 6332 grad_norm: 3.0090 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0591 loss: 3.0591 2022/08/15 02:13:14 - mmengine - INFO - Epoch(train) [137][3600/3757] lr: 4.5099e-02 eta: 1 day, 12:03:10 time: 0.2887 data_time: 0.0170 memory: 6332 grad_norm: 3.0543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9253 loss: 2.9253 2022/08/15 02:13:43 - mmengine - INFO - Epoch(train) [137][3700/3757] lr: 4.5099e-02 eta: 1 day, 12:02:35 time: 0.2891 data_time: 0.0168 memory: 6332 grad_norm: 3.0285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8505 loss: 2.8505 2022/08/15 02:13:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:13:59 - mmengine - INFO - Epoch(train) [137][3757/3757] lr: 4.5099e-02 eta: 1 day, 12:02:28 time: 0.2644 data_time: 0.0149 memory: 6332 grad_norm: 3.0189 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.7284 loss: 2.7284 2022/08/15 02:14:30 - mmengine - INFO - Epoch(train) [138][100/3757] lr: 4.4489e-02 eta: 1 day, 12:00:37 time: 0.2853 data_time: 0.0167 memory: 6332 grad_norm: 2.9432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3937 loss: 2.3937 2022/08/15 02:14:59 - mmengine - INFO - Epoch(train) [138][200/3757] lr: 4.4489e-02 eta: 1 day, 11:59:57 time: 0.2843 data_time: 0.0160 memory: 6332 grad_norm: 2.9421 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3336 loss: 2.3336 2022/08/15 02:15:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:15:28 - mmengine - INFO - Epoch(train) [138][300/3757] lr: 4.4489e-02 eta: 1 day, 11:59:19 time: 0.2839 data_time: 0.0178 memory: 6332 grad_norm: 3.0391 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9190 loss: 2.9190 2022/08/15 02:15:56 - mmengine - INFO - Epoch(train) [138][400/3757] lr: 4.4489e-02 eta: 1 day, 11:58:39 time: 0.2861 data_time: 0.0151 memory: 6332 grad_norm: 3.0259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7154 loss: 2.7154 2022/08/15 02:16:25 - mmengine - INFO - Epoch(train) [138][500/3757] lr: 4.4489e-02 eta: 1 day, 11:58:01 time: 0.2821 data_time: 0.0152 memory: 6332 grad_norm: 2.8837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7144 loss: 2.7144 2022/08/15 02:16:54 - mmengine - INFO - Epoch(train) [138][600/3757] lr: 4.4489e-02 eta: 1 day, 11:57:21 time: 0.2849 data_time: 0.0160 memory: 6332 grad_norm: 3.0332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5409 loss: 2.5409 2022/08/15 02:17:23 - mmengine - INFO - Epoch(train) [138][700/3757] lr: 4.4489e-02 eta: 1 day, 11:56:43 time: 0.2846 data_time: 0.0164 memory: 6332 grad_norm: 2.9562 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8229 loss: 2.8229 2022/08/15 02:17:51 - mmengine - INFO - Epoch(train) [138][800/3757] lr: 4.4489e-02 eta: 1 day, 11:56:03 time: 0.2838 data_time: 0.0157 memory: 6332 grad_norm: 2.9280 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0552 loss: 3.0552 2022/08/15 02:18:20 - mmengine - INFO - Epoch(train) [138][900/3757] lr: 4.4489e-02 eta: 1 day, 11:55:26 time: 0.2890 data_time: 0.0169 memory: 6332 grad_norm: 3.0087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6446 loss: 2.6446 2022/08/15 02:18:49 - mmengine - INFO - Epoch(train) [138][1000/3757] lr: 4.4489e-02 eta: 1 day, 11:54:48 time: 0.2852 data_time: 0.0167 memory: 6332 grad_norm: 3.0737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6629 loss: 2.6629 2022/08/15 02:19:18 - mmengine - INFO - Epoch(train) [138][1100/3757] lr: 4.4489e-02 eta: 1 day, 11:54:09 time: 0.2842 data_time: 0.0161 memory: 6332 grad_norm: 2.9356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4514 loss: 2.4514 2022/08/15 02:19:46 - mmengine - INFO - Epoch(train) [138][1200/3757] lr: 4.4489e-02 eta: 1 day, 11:53:33 time: 0.2841 data_time: 0.0167 memory: 6332 grad_norm: 2.8863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7803 loss: 2.7803 2022/08/15 02:20:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:20:15 - mmengine - INFO - Epoch(train) [138][1300/3757] lr: 4.4489e-02 eta: 1 day, 11:52:56 time: 0.2843 data_time: 0.0155 memory: 6332 grad_norm: 3.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7030 loss: 2.7030 2022/08/15 02:20:44 - mmengine - INFO - Epoch(train) [138][1400/3757] lr: 4.4489e-02 eta: 1 day, 11:52:19 time: 0.2897 data_time: 0.0162 memory: 6332 grad_norm: 2.9342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0581 loss: 3.0581 2022/08/15 02:21:13 - mmengine - INFO - Epoch(train) [138][1500/3757] lr: 4.4489e-02 eta: 1 day, 11:51:39 time: 0.2852 data_time: 0.0154 memory: 6332 grad_norm: 3.0405 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7878 loss: 2.7878 2022/08/15 02:21:41 - mmengine - INFO - Epoch(train) [138][1600/3757] lr: 4.4489e-02 eta: 1 day, 11:51:00 time: 0.2867 data_time: 0.0176 memory: 6332 grad_norm: 3.0578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5525 loss: 2.5525 2022/08/15 02:22:10 - mmengine - INFO - Epoch(train) [138][1700/3757] lr: 4.4489e-02 eta: 1 day, 11:50:22 time: 0.2845 data_time: 0.0155 memory: 6332 grad_norm: 3.0061 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5845 loss: 2.5845 2022/08/15 02:22:39 - mmengine - INFO - Epoch(train) [138][1800/3757] lr: 4.4489e-02 eta: 1 day, 11:49:44 time: 0.2845 data_time: 0.0171 memory: 6332 grad_norm: 3.0203 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9358 loss: 2.9358 2022/08/15 02:23:08 - mmengine - INFO - Epoch(train) [138][1900/3757] lr: 4.4489e-02 eta: 1 day, 11:49:07 time: 0.2841 data_time: 0.0157 memory: 6332 grad_norm: 2.9734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6531 loss: 2.6531 2022/08/15 02:23:36 - mmengine - INFO - Epoch(train) [138][2000/3757] lr: 4.4489e-02 eta: 1 day, 11:48:26 time: 0.2820 data_time: 0.0156 memory: 6332 grad_norm: 3.0142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5832 loss: 2.5832 2022/08/15 02:24:05 - mmengine - INFO - Epoch(train) [138][2100/3757] lr: 4.4489e-02 eta: 1 day, 11:47:53 time: 0.2898 data_time: 0.0156 memory: 6332 grad_norm: 2.9107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8673 loss: 2.8673 2022/08/15 02:24:34 - mmengine - INFO - Epoch(train) [138][2200/3757] lr: 4.4489e-02 eta: 1 day, 11:47:14 time: 0.2849 data_time: 0.0158 memory: 6332 grad_norm: 3.0094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9731 loss: 2.9731 2022/08/15 02:25:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:25:03 - mmengine - INFO - Epoch(train) [138][2300/3757] lr: 4.4489e-02 eta: 1 day, 11:46:41 time: 0.2884 data_time: 0.0179 memory: 6332 grad_norm: 3.0118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0835 loss: 3.0835 2022/08/15 02:25:32 - mmengine - INFO - Epoch(train) [138][2400/3757] lr: 4.4489e-02 eta: 1 day, 11:46:03 time: 0.2834 data_time: 0.0157 memory: 6332 grad_norm: 3.1038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7136 loss: 2.7136 2022/08/15 02:26:01 - mmengine - INFO - Epoch(train) [138][2500/3757] lr: 4.4489e-02 eta: 1 day, 11:45:29 time: 0.2896 data_time: 0.0161 memory: 6332 grad_norm: 3.1055 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2451 loss: 3.2451 2022/08/15 02:26:29 - mmengine - INFO - Epoch(train) [138][2600/3757] lr: 4.4489e-02 eta: 1 day, 11:44:50 time: 0.2841 data_time: 0.0158 memory: 6332 grad_norm: 2.9398 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7049 loss: 2.7049 2022/08/15 02:26:58 - mmengine - INFO - Epoch(train) [138][2700/3757] lr: 4.4489e-02 eta: 1 day, 11:44:14 time: 0.2835 data_time: 0.0147 memory: 6332 grad_norm: 2.9745 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9484 loss: 2.9484 2022/08/15 02:27:27 - mmengine - INFO - Epoch(train) [138][2800/3757] lr: 4.4489e-02 eta: 1 day, 11:43:36 time: 0.2835 data_time: 0.0156 memory: 6332 grad_norm: 3.0286 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8093 loss: 2.8093 2022/08/15 02:27:55 - mmengine - INFO - Epoch(train) [138][2900/3757] lr: 4.4489e-02 eta: 1 day, 11:42:56 time: 0.2846 data_time: 0.0160 memory: 6332 grad_norm: 3.0413 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4035 loss: 2.4035 2022/08/15 02:28:24 - mmengine - INFO - Epoch(train) [138][3000/3757] lr: 4.4489e-02 eta: 1 day, 11:42:18 time: 0.2837 data_time: 0.0161 memory: 6332 grad_norm: 3.0098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8976 loss: 2.8976 2022/08/15 02:28:53 - mmengine - INFO - Epoch(train) [138][3100/3757] lr: 4.4489e-02 eta: 1 day, 11:41:41 time: 0.2836 data_time: 0.0156 memory: 6332 grad_norm: 3.0324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5638 loss: 2.5638 2022/08/15 02:29:22 - mmengine - INFO - Epoch(train) [138][3200/3757] lr: 4.4489e-02 eta: 1 day, 11:41:06 time: 0.2864 data_time: 0.0162 memory: 6332 grad_norm: 2.9279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7027 loss: 2.7027 2022/08/15 02:29:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:29:50 - mmengine - INFO - Epoch(train) [138][3300/3757] lr: 4.4489e-02 eta: 1 day, 11:40:31 time: 0.2842 data_time: 0.0146 memory: 6332 grad_norm: 3.0677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8694 loss: 2.8694 2022/08/15 02:30:19 - mmengine - INFO - Epoch(train) [138][3400/3757] lr: 4.4489e-02 eta: 1 day, 11:39:54 time: 0.2844 data_time: 0.0156 memory: 6332 grad_norm: 2.9748 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6335 loss: 2.6335 2022/08/15 02:30:48 - mmengine - INFO - Epoch(train) [138][3500/3757] lr: 4.4489e-02 eta: 1 day, 11:39:19 time: 0.2840 data_time: 0.0151 memory: 6332 grad_norm: 2.9986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7698 loss: 2.7698 2022/08/15 02:31:17 - mmengine - INFO - Epoch(train) [138][3600/3757] lr: 4.4489e-02 eta: 1 day, 11:38:41 time: 0.2842 data_time: 0.0155 memory: 6332 grad_norm: 2.9820 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6933 loss: 2.6933 2022/08/15 02:31:45 - mmengine - INFO - Epoch(train) [138][3700/3757] lr: 4.4489e-02 eta: 1 day, 11:38:04 time: 0.2865 data_time: 0.0160 memory: 6332 grad_norm: 3.0056 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7692 loss: 2.7692 2022/08/15 02:32:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:32:02 - mmengine - INFO - Epoch(train) [138][3757/3757] lr: 4.4489e-02 eta: 1 day, 11:37:48 time: 0.2735 data_time: 0.0144 memory: 6332 grad_norm: 2.9554 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.6082 loss: 2.6082 2022/08/15 02:32:32 - mmengine - INFO - Epoch(train) [139][100/3757] lr: 4.3879e-02 eta: 1 day, 11:36:11 time: 0.2828 data_time: 0.0161 memory: 6332 grad_norm: 2.9512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7992 loss: 2.7992 2022/08/15 02:33:01 - mmengine - INFO - Epoch(train) [139][200/3757] lr: 4.3879e-02 eta: 1 day, 11:35:36 time: 0.2864 data_time: 0.0157 memory: 6332 grad_norm: 2.9512 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9596 loss: 2.9596 2022/08/15 02:33:30 - mmengine - INFO - Epoch(train) [139][300/3757] lr: 4.3879e-02 eta: 1 day, 11:34:58 time: 0.2827 data_time: 0.0149 memory: 6332 grad_norm: 3.0216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6918 loss: 2.6918 2022/08/15 02:33:59 - mmengine - INFO - Epoch(train) [139][400/3757] lr: 4.3879e-02 eta: 1 day, 11:34:22 time: 0.2855 data_time: 0.0157 memory: 6332 grad_norm: 2.9310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6115 loss: 2.6115 2022/08/15 02:34:27 - mmengine - INFO - Epoch(train) [139][500/3757] lr: 4.3879e-02 eta: 1 day, 11:33:46 time: 0.2841 data_time: 0.0147 memory: 6332 grad_norm: 3.0225 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7811 loss: 2.7811 2022/08/15 02:34:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:34:56 - mmengine - INFO - Epoch(train) [139][600/3757] lr: 4.3879e-02 eta: 1 day, 11:33:09 time: 0.2849 data_time: 0.0164 memory: 6332 grad_norm: 3.0491 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7994 loss: 2.7994 2022/08/15 02:35:25 - mmengine - INFO - Epoch(train) [139][700/3757] lr: 4.3879e-02 eta: 1 day, 11:32:36 time: 0.2852 data_time: 0.0164 memory: 6332 grad_norm: 2.9958 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7783 loss: 2.7783 2022/08/15 02:35:54 - mmengine - INFO - Epoch(train) [139][800/3757] lr: 4.3879e-02 eta: 1 day, 11:32:01 time: 0.2838 data_time: 0.0161 memory: 6332 grad_norm: 3.0632 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8215 loss: 2.8215 2022/08/15 02:36:22 - mmengine - INFO - Epoch(train) [139][900/3757] lr: 4.3879e-02 eta: 1 day, 11:31:26 time: 0.2859 data_time: 0.0151 memory: 6332 grad_norm: 3.0593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5431 loss: 2.5431 2022/08/15 02:36:51 - mmengine - INFO - Epoch(train) [139][1000/3757] lr: 4.3879e-02 eta: 1 day, 11:30:56 time: 0.2826 data_time: 0.0153 memory: 6332 grad_norm: 3.1426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6053 loss: 2.6053 2022/08/15 02:37:20 - mmengine - INFO - Epoch(train) [139][1100/3757] lr: 4.3879e-02 eta: 1 day, 11:30:18 time: 0.2837 data_time: 0.0151 memory: 6332 grad_norm: 3.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7454 loss: 2.7454 2022/08/15 02:37:49 - mmengine - INFO - Epoch(train) [139][1200/3757] lr: 4.3879e-02 eta: 1 day, 11:29:43 time: 0.2850 data_time: 0.0147 memory: 6332 grad_norm: 2.9761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7143 loss: 2.7143 2022/08/15 02:38:18 - mmengine - INFO - Epoch(train) [139][1300/3757] lr: 4.3879e-02 eta: 1 day, 11:29:09 time: 0.2839 data_time: 0.0174 memory: 6332 grad_norm: 3.0063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5581 loss: 2.5581 2022/08/15 02:38:46 - mmengine - INFO - Epoch(train) [139][1400/3757] lr: 4.3879e-02 eta: 1 day, 11:28:33 time: 0.2854 data_time: 0.0163 memory: 6332 grad_norm: 2.8719 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5883 loss: 2.5883 2022/08/15 02:39:15 - mmengine - INFO - Epoch(train) [139][1500/3757] lr: 4.3879e-02 eta: 1 day, 11:27:58 time: 0.2833 data_time: 0.0153 memory: 6332 grad_norm: 2.9914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7503 loss: 2.7503 2022/08/15 02:39:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:39:44 - mmengine - INFO - Epoch(train) [139][1600/3757] lr: 4.3879e-02 eta: 1 day, 11:27:22 time: 0.2863 data_time: 0.0153 memory: 6332 grad_norm: 3.0058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3785 loss: 2.3785 2022/08/15 02:40:13 - mmengine - INFO - Epoch(train) [139][1700/3757] lr: 4.3879e-02 eta: 1 day, 11:26:47 time: 0.2848 data_time: 0.0160 memory: 6332 grad_norm: 3.0205 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7736 loss: 2.7736 2022/08/15 02:40:41 - mmengine - INFO - Epoch(train) [139][1800/3757] lr: 4.3879e-02 eta: 1 day, 11:26:12 time: 0.2846 data_time: 0.0163 memory: 6332 grad_norm: 3.0263 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7489 loss: 2.7489 2022/08/15 02:41:10 - mmengine - INFO - Epoch(train) [139][1900/3757] lr: 4.3879e-02 eta: 1 day, 11:25:35 time: 0.2838 data_time: 0.0159 memory: 6332 grad_norm: 3.0014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5842 loss: 2.5842 2022/08/15 02:41:39 - mmengine - INFO - Epoch(train) [139][2000/3757] lr: 4.3879e-02 eta: 1 day, 11:24:59 time: 0.2834 data_time: 0.0154 memory: 6332 grad_norm: 3.0694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7184 loss: 2.7184 2022/08/15 02:42:07 - mmengine - INFO - Epoch(train) [139][2100/3757] lr: 4.3879e-02 eta: 1 day, 11:24:23 time: 0.2849 data_time: 0.0158 memory: 6332 grad_norm: 3.0124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7104 loss: 2.7104 2022/08/15 02:42:36 - mmengine - INFO - Epoch(train) [139][2200/3757] lr: 4.3879e-02 eta: 1 day, 11:23:48 time: 0.2847 data_time: 0.0153 memory: 6332 grad_norm: 2.9716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8404 loss: 2.8404 2022/08/15 02:43:05 - mmengine - INFO - Epoch(train) [139][2300/3757] lr: 4.3879e-02 eta: 1 day, 11:23:13 time: 0.2867 data_time: 0.0159 memory: 6332 grad_norm: 2.9732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6359 loss: 2.6359 2022/08/15 02:43:34 - mmengine - INFO - Epoch(train) [139][2400/3757] lr: 4.3879e-02 eta: 1 day, 11:22:38 time: 0.2844 data_time: 0.0160 memory: 6332 grad_norm: 3.0406 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6404 loss: 2.6404 2022/08/15 02:44:02 - mmengine - INFO - Epoch(train) [139][2500/3757] lr: 4.3879e-02 eta: 1 day, 11:22:04 time: 0.2882 data_time: 0.0168 memory: 6332 grad_norm: 3.0751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7235 loss: 2.7235 2022/08/15 02:44:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:44:31 - mmengine - INFO - Epoch(train) [139][2600/3757] lr: 4.3879e-02 eta: 1 day, 11:21:29 time: 0.2846 data_time: 0.0151 memory: 6332 grad_norm: 3.0134 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6442 loss: 2.6442 2022/08/15 02:45:00 - mmengine - INFO - Epoch(train) [139][2700/3757] lr: 4.3879e-02 eta: 1 day, 11:20:54 time: 0.2822 data_time: 0.0149 memory: 6332 grad_norm: 2.9604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7991 loss: 2.7991 2022/08/15 02:45:29 - mmengine - INFO - Epoch(train) [139][2800/3757] lr: 4.3879e-02 eta: 1 day, 11:20:22 time: 0.2858 data_time: 0.0153 memory: 6332 grad_norm: 3.1095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5697 loss: 2.5697 2022/08/15 02:45:57 - mmengine - INFO - Epoch(train) [139][2900/3757] lr: 4.3879e-02 eta: 1 day, 11:19:47 time: 0.2827 data_time: 0.0152 memory: 6332 grad_norm: 3.0633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7299 loss: 2.7299 2022/08/15 02:46:26 - mmengine - INFO - Epoch(train) [139][3000/3757] lr: 4.3879e-02 eta: 1 day, 11:19:15 time: 0.2870 data_time: 0.0170 memory: 6332 grad_norm: 3.0772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8864 loss: 2.8864 2022/08/15 02:46:55 - mmengine - INFO - Epoch(train) [139][3100/3757] lr: 4.3879e-02 eta: 1 day, 11:18:41 time: 0.2850 data_time: 0.0160 memory: 6332 grad_norm: 3.0485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8894 loss: 2.8894 2022/08/15 02:47:24 - mmengine - INFO - Epoch(train) [139][3200/3757] lr: 4.3879e-02 eta: 1 day, 11:18:07 time: 0.2889 data_time: 0.0187 memory: 6332 grad_norm: 3.0269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4861 loss: 2.4861 2022/08/15 02:47:53 - mmengine - INFO - Epoch(train) [139][3300/3757] lr: 4.3879e-02 eta: 1 day, 11:17:32 time: 0.2836 data_time: 0.0167 memory: 6332 grad_norm: 2.9751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8901 loss: 2.8901 2022/08/15 02:48:21 - mmengine - INFO - Epoch(train) [139][3400/3757] lr: 4.3879e-02 eta: 1 day, 11:16:58 time: 0.2858 data_time: 0.0143 memory: 6332 grad_norm: 3.0380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5050 loss: 2.5050 2022/08/15 02:48:50 - mmengine - INFO - Epoch(train) [139][3500/3757] lr: 4.3879e-02 eta: 1 day, 11:16:23 time: 0.2837 data_time: 0.0162 memory: 6332 grad_norm: 3.0406 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6792 loss: 2.6792 2022/08/15 02:49:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:49:19 - mmengine - INFO - Epoch(train) [139][3600/3757] lr: 4.3879e-02 eta: 1 day, 11:15:49 time: 0.2836 data_time: 0.0159 memory: 6332 grad_norm: 2.9827 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6247 loss: 2.6247 2022/08/15 02:49:48 - mmengine - INFO - Epoch(train) [139][3700/3757] lr: 4.3879e-02 eta: 1 day, 11:15:14 time: 0.2852 data_time: 0.0164 memory: 6332 grad_norm: 3.0497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1943 loss: 3.1943 2022/08/15 02:50:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:50:03 - mmengine - INFO - Epoch(train) [139][3757/3757] lr: 4.3879e-02 eta: 1 day, 11:15:00 time: 0.2663 data_time: 0.0149 memory: 6332 grad_norm: 3.0166 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.9243 loss: 2.9243 2022/08/15 02:50:35 - mmengine - INFO - Epoch(train) [140][100/3757] lr: 4.3271e-02 eta: 1 day, 11:13:39 time: 0.2833 data_time: 0.0149 memory: 6332 grad_norm: 3.0238 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9212 loss: 2.9212 2022/08/15 02:51:03 - mmengine - INFO - Epoch(train) [140][200/3757] lr: 4.3271e-02 eta: 1 day, 11:13:05 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 3.0310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9620 loss: 2.9620 2022/08/15 02:51:32 - mmengine - INFO - Epoch(train) [140][300/3757] lr: 4.3271e-02 eta: 1 day, 11:12:31 time: 0.2851 data_time: 0.0153 memory: 6332 grad_norm: 3.0538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7448 loss: 2.7448 2022/08/15 02:52:01 - mmengine - INFO - Epoch(train) [140][400/3757] lr: 4.3271e-02 eta: 1 day, 11:11:58 time: 0.2856 data_time: 0.0151 memory: 6332 grad_norm: 3.0209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4400 loss: 2.4400 2022/08/15 02:52:30 - mmengine - INFO - Epoch(train) [140][500/3757] lr: 4.3271e-02 eta: 1 day, 11:11:26 time: 0.2861 data_time: 0.0145 memory: 6332 grad_norm: 2.9859 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6765 loss: 2.6765 2022/08/15 02:52:59 - mmengine - INFO - Epoch(train) [140][600/3757] lr: 4.3271e-02 eta: 1 day, 11:10:52 time: 0.2842 data_time: 0.0151 memory: 6332 grad_norm: 3.0047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7469 loss: 2.7469 2022/08/15 02:53:27 - mmengine - INFO - Epoch(train) [140][700/3757] lr: 4.3271e-02 eta: 1 day, 11:10:19 time: 0.2859 data_time: 0.0151 memory: 6332 grad_norm: 3.0199 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3093 loss: 2.3093 2022/08/15 02:53:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:53:56 - mmengine - INFO - Epoch(train) [140][800/3757] lr: 4.3271e-02 eta: 1 day, 11:09:45 time: 0.2860 data_time: 0.0154 memory: 6332 grad_norm: 2.9863 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6173 loss: 2.6173 2022/08/15 02:54:25 - mmengine - INFO - Epoch(train) [140][900/3757] lr: 4.3271e-02 eta: 1 day, 11:09:11 time: 0.2848 data_time: 0.0158 memory: 6332 grad_norm: 2.9604 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3809 loss: 2.3809 2022/08/15 02:54:54 - mmengine - INFO - Epoch(train) [140][1000/3757] lr: 4.3271e-02 eta: 1 day, 11:08:36 time: 0.2850 data_time: 0.0143 memory: 6332 grad_norm: 3.1100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7621 loss: 2.7621 2022/08/15 02:55:22 - mmengine - INFO - Epoch(train) [140][1100/3757] lr: 4.3271e-02 eta: 1 day, 11:08:04 time: 0.2850 data_time: 0.0156 memory: 6332 grad_norm: 2.9977 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8190 loss: 2.8190 2022/08/15 02:55:51 - mmengine - INFO - Epoch(train) [140][1200/3757] lr: 4.3271e-02 eta: 1 day, 11:07:30 time: 0.2824 data_time: 0.0144 memory: 6332 grad_norm: 2.9744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5520 loss: 2.5520 2022/08/15 02:56:20 - mmengine - INFO - Epoch(train) [140][1300/3757] lr: 4.3271e-02 eta: 1 day, 11:06:56 time: 0.2847 data_time: 0.0156 memory: 6332 grad_norm: 3.0489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6882 loss: 2.6882 2022/08/15 02:56:49 - mmengine - INFO - Epoch(train) [140][1400/3757] lr: 4.3271e-02 eta: 1 day, 11:06:22 time: 0.2865 data_time: 0.0158 memory: 6332 grad_norm: 3.0261 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5539 loss: 2.5539 2022/08/15 02:57:17 - mmengine - INFO - Epoch(train) [140][1500/3757] lr: 4.3271e-02 eta: 1 day, 11:05:50 time: 0.2899 data_time: 0.0171 memory: 6332 grad_norm: 3.0885 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5652 loss: 2.5652 2022/08/15 02:57:46 - mmengine - INFO - Epoch(train) [140][1600/3757] lr: 4.3271e-02 eta: 1 day, 11:05:16 time: 0.2850 data_time: 0.0163 memory: 6332 grad_norm: 3.0906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8648 loss: 2.8648 2022/08/15 02:58:15 - mmengine - INFO - Epoch(train) [140][1700/3757] lr: 4.3271e-02 eta: 1 day, 11:04:43 time: 0.2860 data_time: 0.0172 memory: 6332 grad_norm: 3.0378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6650 loss: 2.6650 2022/08/15 02:58:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 02:58:44 - mmengine - INFO - Epoch(train) [140][1800/3757] lr: 4.3271e-02 eta: 1 day, 11:04:09 time: 0.2850 data_time: 0.0163 memory: 6332 grad_norm: 3.0830 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6859 loss: 2.6859 2022/08/15 02:59:12 - mmengine - INFO - Epoch(train) [140][1900/3757] lr: 4.3271e-02 eta: 1 day, 11:03:37 time: 0.2859 data_time: 0.0155 memory: 6332 grad_norm: 2.9120 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7232 loss: 2.7232 2022/08/15 02:59:41 - mmengine - INFO - Epoch(train) [140][2000/3757] lr: 4.3271e-02 eta: 1 day, 11:03:08 time: 0.2860 data_time: 0.0177 memory: 6332 grad_norm: 2.9956 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7273 loss: 2.7273 2022/08/15 03:00:10 - mmengine - INFO - Epoch(train) [140][2100/3757] lr: 4.3271e-02 eta: 1 day, 11:02:38 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 3.0050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9876 loss: 2.9876 2022/08/15 03:00:39 - mmengine - INFO - Epoch(train) [140][2200/3757] lr: 4.3271e-02 eta: 1 day, 11:02:06 time: 0.2890 data_time: 0.0202 memory: 6332 grad_norm: 2.9856 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7750 loss: 2.7750 2022/08/15 03:01:08 - mmengine - INFO - Epoch(train) [140][2300/3757] lr: 4.3271e-02 eta: 1 day, 11:01:34 time: 0.2838 data_time: 0.0152 memory: 6332 grad_norm: 3.0777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7774 loss: 2.7774 2022/08/15 03:01:37 - mmengine - INFO - Epoch(train) [140][2400/3757] lr: 4.3271e-02 eta: 1 day, 11:01:03 time: 0.2891 data_time: 0.0153 memory: 6332 grad_norm: 3.0927 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1161 loss: 3.1161 2022/08/15 03:02:06 - mmengine - INFO - Epoch(train) [140][2500/3757] lr: 4.3271e-02 eta: 1 day, 11:00:31 time: 0.2838 data_time: 0.0160 memory: 6332 grad_norm: 2.9995 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0332 loss: 3.0332 2022/08/15 03:02:35 - mmengine - INFO - Epoch(train) [140][2600/3757] lr: 4.3271e-02 eta: 1 day, 10:59:58 time: 0.2853 data_time: 0.0170 memory: 6332 grad_norm: 2.9980 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6764 loss: 2.6764 2022/08/15 03:03:03 - mmengine - INFO - Epoch(train) [140][2700/3757] lr: 4.3271e-02 eta: 1 day, 10:59:25 time: 0.2884 data_time: 0.0152 memory: 6332 grad_norm: 2.9277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5453 loss: 2.5453 2022/08/15 03:03:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:03:32 - mmengine - INFO - Epoch(train) [140][2800/3757] lr: 4.3271e-02 eta: 1 day, 10:58:51 time: 0.2834 data_time: 0.0156 memory: 6332 grad_norm: 3.0705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6633 loss: 2.6633 2022/08/15 03:04:01 - mmengine - INFO - Epoch(train) [140][2900/3757] lr: 4.3271e-02 eta: 1 day, 10:58:18 time: 0.2839 data_time: 0.0157 memory: 6332 grad_norm: 3.0203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7609 loss: 2.7609 2022/08/15 03:04:30 - mmengine - INFO - Epoch(train) [140][3000/3757] lr: 4.3271e-02 eta: 1 day, 10:57:46 time: 0.2841 data_time: 0.0154 memory: 6332 grad_norm: 3.0465 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8435 loss: 2.8435 2022/08/15 03:04:58 - mmengine - INFO - Epoch(train) [140][3100/3757] lr: 4.3271e-02 eta: 1 day, 10:57:14 time: 0.2882 data_time: 0.0196 memory: 6332 grad_norm: 3.0635 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8862 loss: 2.8862 2022/08/15 03:05:27 - mmengine - INFO - Epoch(train) [140][3200/3757] lr: 4.3271e-02 eta: 1 day, 10:56:43 time: 0.2852 data_time: 0.0153 memory: 6332 grad_norm: 2.9959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7563 loss: 2.7563 2022/08/15 03:05:56 - mmengine - INFO - Epoch(train) [140][3300/3757] lr: 4.3271e-02 eta: 1 day, 10:56:11 time: 0.2860 data_time: 0.0152 memory: 6332 grad_norm: 3.0108 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5675 loss: 2.5675 2022/08/15 03:06:25 - mmengine - INFO - Epoch(train) [140][3400/3757] lr: 4.3271e-02 eta: 1 day, 10:55:38 time: 0.2843 data_time: 0.0170 memory: 6332 grad_norm: 3.0231 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8960 loss: 2.8960 2022/08/15 03:06:54 - mmengine - INFO - Epoch(train) [140][3500/3757] lr: 4.3271e-02 eta: 1 day, 10:55:05 time: 0.2840 data_time: 0.0161 memory: 6332 grad_norm: 3.1040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8387 loss: 2.8387 2022/08/15 03:07:22 - mmengine - INFO - Epoch(train) [140][3600/3757] lr: 4.3271e-02 eta: 1 day, 10:54:31 time: 0.2833 data_time: 0.0157 memory: 6332 grad_norm: 3.0927 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5622 loss: 2.5622 2022/08/15 03:07:51 - mmengine - INFO - Epoch(train) [140][3700/3757] lr: 4.3271e-02 eta: 1 day, 10:53:58 time: 0.2840 data_time: 0.0157 memory: 6332 grad_norm: 2.9755 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8805 loss: 2.8805 2022/08/15 03:08:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:08:07 - mmengine - INFO - Epoch(train) [140][3757/3757] lr: 4.3271e-02 eta: 1 day, 10:53:47 time: 0.2624 data_time: 0.0134 memory: 6332 grad_norm: 3.1698 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.9292 loss: 2.9292 2022/08/15 03:08:07 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/15 03:08:35 - mmengine - INFO - Epoch(val) [140][100/310] eta: 0:00:50 time: 0.2427 data_time: 0.1466 memory: 1147 2022/08/15 03:08:56 - mmengine - INFO - Epoch(val) [140][200/310] eta: 0:00:20 time: 0.1870 data_time: 0.0915 memory: 1147 2022/08/15 03:09:16 - mmengine - INFO - Epoch(val) [140][300/310] eta: 0:00:01 time: 0.1415 data_time: 0.0636 memory: 1147 2022/08/15 03:09:19 - mmengine - INFO - Epoch(val) [140][310/310] acc/top1: 0.4698 acc/top5: 0.7370 acc/mean1: 0.4696 2022/08/15 03:09:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_136.pth is removed 2022/08/15 03:09:22 - mmengine - INFO - The best checkpoint with 0.4698 acc/top1 at 141 epoch is saved to best_acc/top1_epoch_141.pth. 2022/08/15 03:09:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:09:52 - mmengine - INFO - Epoch(train) [141][100/3757] lr: 4.2663e-02 eta: 1 day, 10:52:14 time: 0.2844 data_time: 0.0157 memory: 6332 grad_norm: 3.0752 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5208 loss: 2.5208 2022/08/15 03:10:20 - mmengine - INFO - Epoch(train) [141][200/3757] lr: 4.2663e-02 eta: 1 day, 10:51:42 time: 0.2863 data_time: 0.0149 memory: 6332 grad_norm: 2.9867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7509 loss: 2.7509 2022/08/15 03:10:49 - mmengine - INFO - Epoch(train) [141][300/3757] lr: 4.2663e-02 eta: 1 day, 10:51:10 time: 0.2848 data_time: 0.0155 memory: 6332 grad_norm: 3.0064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6067 loss: 2.6067 2022/08/15 03:11:18 - mmengine - INFO - Epoch(train) [141][400/3757] lr: 4.2663e-02 eta: 1 day, 10:50:39 time: 0.2867 data_time: 0.0159 memory: 6332 grad_norm: 3.0620 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8700 loss: 2.8700 2022/08/15 03:11:47 - mmengine - INFO - Epoch(train) [141][500/3757] lr: 4.2663e-02 eta: 1 day, 10:50:07 time: 0.2854 data_time: 0.0160 memory: 6332 grad_norm: 3.0841 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7204 loss: 2.7204 2022/08/15 03:12:15 - mmengine - INFO - Epoch(train) [141][600/3757] lr: 4.2663e-02 eta: 1 day, 10:49:34 time: 0.2836 data_time: 0.0162 memory: 6332 grad_norm: 3.0918 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7903 loss: 2.7903 2022/08/15 03:12:44 - mmengine - INFO - Epoch(train) [141][700/3757] lr: 4.2663e-02 eta: 1 day, 10:48:59 time: 0.2831 data_time: 0.0144 memory: 6332 grad_norm: 3.0164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7513 loss: 2.7513 2022/08/15 03:13:13 - mmengine - INFO - Epoch(train) [141][800/3757] lr: 4.2663e-02 eta: 1 day, 10:48:26 time: 0.2836 data_time: 0.0155 memory: 6332 grad_norm: 3.1204 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7161 loss: 2.7161 2022/08/15 03:13:42 - mmengine - INFO - Epoch(train) [141][900/3757] lr: 4.2663e-02 eta: 1 day, 10:47:56 time: 0.2833 data_time: 0.0146 memory: 6332 grad_norm: 3.0590 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7533 loss: 2.7533 2022/08/15 03:14:10 - mmengine - INFO - Epoch(train) [141][1000/3757] lr: 4.2663e-02 eta: 1 day, 10:47:24 time: 0.2855 data_time: 0.0149 memory: 6332 grad_norm: 3.0488 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8379 loss: 2.8379 2022/08/15 03:14:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:14:39 - mmengine - INFO - Epoch(train) [141][1100/3757] lr: 4.2663e-02 eta: 1 day, 10:46:52 time: 0.2850 data_time: 0.0150 memory: 6332 grad_norm: 3.0889 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8084 loss: 2.8084 2022/08/15 03:15:08 - mmengine - INFO - Epoch(train) [141][1200/3757] lr: 4.2663e-02 eta: 1 day, 10:46:18 time: 0.2842 data_time: 0.0151 memory: 6332 grad_norm: 3.1099 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8223 loss: 2.8223 2022/08/15 03:15:37 - mmengine - INFO - Epoch(train) [141][1300/3757] lr: 4.2663e-02 eta: 1 day, 10:45:48 time: 0.2947 data_time: 0.0167 memory: 6332 grad_norm: 3.0713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6485 loss: 2.6485 2022/08/15 03:16:06 - mmengine - INFO - Epoch(train) [141][1400/3757] lr: 4.2663e-02 eta: 1 day, 10:45:18 time: 0.2866 data_time: 0.0162 memory: 6332 grad_norm: 3.0174 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9893 loss: 2.9893 2022/08/15 03:16:35 - mmengine - INFO - Epoch(train) [141][1500/3757] lr: 4.2663e-02 eta: 1 day, 10:44:47 time: 0.2842 data_time: 0.0158 memory: 6332 grad_norm: 2.9906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7329 loss: 2.7329 2022/08/15 03:17:03 - mmengine - INFO - Epoch(train) [141][1600/3757] lr: 4.2663e-02 eta: 1 day, 10:44:15 time: 0.2854 data_time: 0.0153 memory: 6332 grad_norm: 3.0703 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0302 loss: 3.0302 2022/08/15 03:17:32 - mmengine - INFO - Epoch(train) [141][1700/3757] lr: 4.2663e-02 eta: 1 day, 10:43:42 time: 0.2855 data_time: 0.0159 memory: 6332 grad_norm: 3.0259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6753 loss: 2.6753 2022/08/15 03:18:01 - mmengine - INFO - Epoch(train) [141][1800/3757] lr: 4.2663e-02 eta: 1 day, 10:43:09 time: 0.2838 data_time: 0.0150 memory: 6332 grad_norm: 3.0204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8046 loss: 2.8046 2022/08/15 03:18:29 - mmengine - INFO - Epoch(train) [141][1900/3757] lr: 4.2663e-02 eta: 1 day, 10:42:36 time: 0.2860 data_time: 0.0160 memory: 6332 grad_norm: 3.0956 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4553 loss: 2.4553 2022/08/15 03:18:58 - mmengine - INFO - Epoch(train) [141][2000/3757] lr: 4.2663e-02 eta: 1 day, 10:42:04 time: 0.2847 data_time: 0.0173 memory: 6332 grad_norm: 3.1172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8142 loss: 2.8142 2022/08/15 03:19:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:19:27 - mmengine - INFO - Epoch(train) [141][2100/3757] lr: 4.2663e-02 eta: 1 day, 10:41:36 time: 0.2847 data_time: 0.0167 memory: 6332 grad_norm: 2.9891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4779 loss: 2.4779 2022/08/15 03:19:56 - mmengine - INFO - Epoch(train) [141][2200/3757] lr: 4.2663e-02 eta: 1 day, 10:41:05 time: 0.2840 data_time: 0.0159 memory: 6332 grad_norm: 3.0414 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7431 loss: 2.7431 2022/08/15 03:20:25 - mmengine - INFO - Epoch(train) [141][2300/3757] lr: 4.2663e-02 eta: 1 day, 10:40:35 time: 0.2906 data_time: 0.0150 memory: 6332 grad_norm: 3.0775 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4521 loss: 2.4521 2022/08/15 03:20:53 - mmengine - INFO - Epoch(train) [141][2400/3757] lr: 4.2663e-02 eta: 1 day, 10:40:01 time: 0.2835 data_time: 0.0146 memory: 6332 grad_norm: 3.0649 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.6407 loss: 2.6407 2022/08/15 03:21:22 - mmengine - INFO - Epoch(train) [141][2500/3757] lr: 4.2663e-02 eta: 1 day, 10:39:28 time: 0.2842 data_time: 0.0162 memory: 6332 grad_norm: 2.9928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.8985 loss: 2.8985 2022/08/15 03:21:51 - mmengine - INFO - Epoch(train) [141][2600/3757] lr: 4.2663e-02 eta: 1 day, 10:38:58 time: 0.2835 data_time: 0.0159 memory: 6332 grad_norm: 3.0803 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8388 loss: 2.8388 2022/08/15 03:22:20 - mmengine - INFO - Epoch(train) [141][2700/3757] lr: 4.2663e-02 eta: 1 day, 10:38:26 time: 0.2857 data_time: 0.0148 memory: 6332 grad_norm: 3.0590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6689 loss: 2.6689 2022/08/15 03:22:48 - mmengine - INFO - Epoch(train) [141][2800/3757] lr: 4.2663e-02 eta: 1 day, 10:37:53 time: 0.2855 data_time: 0.0165 memory: 6332 grad_norm: 3.0773 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8123 loss: 2.8123 2022/08/15 03:23:17 - mmengine - INFO - Epoch(train) [141][2900/3757] lr: 4.2663e-02 eta: 1 day, 10:37:21 time: 0.2864 data_time: 0.0161 memory: 6332 grad_norm: 3.0324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9476 loss: 2.9476 2022/08/15 03:23:46 - mmengine - INFO - Epoch(train) [141][3000/3757] lr: 4.2663e-02 eta: 1 day, 10:36:49 time: 0.2862 data_time: 0.0168 memory: 6332 grad_norm: 3.0567 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7556 loss: 2.7556 2022/08/15 03:23:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:24:15 - mmengine - INFO - Epoch(train) [141][3100/3757] lr: 4.2663e-02 eta: 1 day, 10:36:19 time: 0.2858 data_time: 0.0164 memory: 6332 grad_norm: 3.1779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6601 loss: 2.6601 2022/08/15 03:24:44 - mmengine - INFO - Epoch(train) [141][3200/3757] lr: 4.2663e-02 eta: 1 day, 10:35:46 time: 0.2835 data_time: 0.0160 memory: 6332 grad_norm: 3.0294 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8365 loss: 2.8365 2022/08/15 03:25:13 - mmengine - INFO - Epoch(train) [141][3300/3757] lr: 4.2663e-02 eta: 1 day, 10:35:17 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 3.1068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7166 loss: 2.7166 2022/08/15 03:25:41 - mmengine - INFO - Epoch(train) [141][3400/3757] lr: 4.2663e-02 eta: 1 day, 10:34:46 time: 0.2905 data_time: 0.0165 memory: 6332 grad_norm: 3.0898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8266 loss: 2.8266 2022/08/15 03:26:10 - mmengine - INFO - Epoch(train) [141][3500/3757] lr: 4.2663e-02 eta: 1 day, 10:34:13 time: 0.2833 data_time: 0.0158 memory: 6332 grad_norm: 3.0269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7869 loss: 2.7869 2022/08/15 03:26:39 - mmengine - INFO - Epoch(train) [141][3600/3757] lr: 4.2663e-02 eta: 1 day, 10:33:42 time: 0.2853 data_time: 0.0154 memory: 6332 grad_norm: 3.0999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6505 loss: 2.6505 2022/08/15 03:27:08 - mmengine - INFO - Epoch(train) [141][3700/3757] lr: 4.2663e-02 eta: 1 day, 10:33:12 time: 0.2937 data_time: 0.0145 memory: 6332 grad_norm: 3.0521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7086 loss: 2.7086 2022/08/15 03:27:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:27:24 - mmengine - INFO - Epoch(train) [141][3757/3757] lr: 4.2663e-02 eta: 1 day, 10:33:01 time: 0.2638 data_time: 0.0123 memory: 6332 grad_norm: 3.0695 top1_acc: 0.0000 top5_acc: 0.7143 loss_cls: 2.7363 loss: 2.7363 2022/08/15 03:27:55 - mmengine - INFO - Epoch(train) [142][100/3757] lr: 4.2057e-02 eta: 1 day, 10:31:47 time: 0.2842 data_time: 0.0161 memory: 6332 grad_norm: 3.0081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4494 loss: 2.4494 2022/08/15 03:28:23 - mmengine - INFO - Epoch(train) [142][200/3757] lr: 4.2057e-02 eta: 1 day, 10:31:17 time: 0.2842 data_time: 0.0147 memory: 6332 grad_norm: 3.0025 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7027 loss: 2.7027 2022/08/15 03:28:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:28:52 - mmengine - INFO - Epoch(train) [142][300/3757] lr: 4.2057e-02 eta: 1 day, 10:30:46 time: 0.2841 data_time: 0.0163 memory: 6332 grad_norm: 3.0603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3921 loss: 2.3921 2022/08/15 03:29:21 - mmengine - INFO - Epoch(train) [142][400/3757] lr: 4.2057e-02 eta: 1 day, 10:30:15 time: 0.2851 data_time: 0.0169 memory: 6332 grad_norm: 3.0508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7376 loss: 2.7376 2022/08/15 03:29:50 - mmengine - INFO - Epoch(train) [142][500/3757] lr: 4.2057e-02 eta: 1 day, 10:29:44 time: 0.2858 data_time: 0.0154 memory: 6332 grad_norm: 3.0429 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5249 loss: 2.5249 2022/08/15 03:30:19 - mmengine - INFO - Epoch(train) [142][600/3757] lr: 4.2057e-02 eta: 1 day, 10:29:14 time: 0.2885 data_time: 0.0165 memory: 6332 grad_norm: 3.0524 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7671 loss: 2.7671 2022/08/15 03:30:47 - mmengine - INFO - Epoch(train) [142][700/3757] lr: 4.2057e-02 eta: 1 day, 10:28:42 time: 0.2852 data_time: 0.0147 memory: 6332 grad_norm: 3.0716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7511 loss: 2.7511 2022/08/15 03:31:16 - mmengine - INFO - Epoch(train) [142][800/3757] lr: 4.2057e-02 eta: 1 day, 10:28:11 time: 0.2918 data_time: 0.0166 memory: 6332 grad_norm: 3.0175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4187 loss: 2.4187 2022/08/15 03:31:45 - mmengine - INFO - Epoch(train) [142][900/3757] lr: 4.2057e-02 eta: 1 day, 10:27:39 time: 0.2846 data_time: 0.0156 memory: 6332 grad_norm: 3.0238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6268 loss: 2.6268 2022/08/15 03:32:14 - mmengine - INFO - Epoch(train) [142][1000/3757] lr: 4.2057e-02 eta: 1 day, 10:27:08 time: 0.2839 data_time: 0.0151 memory: 6332 grad_norm: 3.1056 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6507 loss: 2.6507 2022/08/15 03:32:42 - mmengine - INFO - Epoch(train) [142][1100/3757] lr: 4.2057e-02 eta: 1 day, 10:26:36 time: 0.2825 data_time: 0.0151 memory: 6332 grad_norm: 3.0777 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2006 loss: 3.2006 2022/08/15 03:33:11 - mmengine - INFO - Epoch(train) [142][1200/3757] lr: 4.2057e-02 eta: 1 day, 10:26:04 time: 0.2846 data_time: 0.0154 memory: 6332 grad_norm: 3.1022 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8646 loss: 2.8646 2022/08/15 03:33:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:33:40 - mmengine - INFO - Epoch(train) [142][1300/3757] lr: 4.2057e-02 eta: 1 day, 10:25:35 time: 0.2854 data_time: 0.0155 memory: 6332 grad_norm: 2.9669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0368 loss: 3.0368 2022/08/15 03:34:09 - mmengine - INFO - Epoch(train) [142][1400/3757] lr: 4.2057e-02 eta: 1 day, 10:25:03 time: 0.2832 data_time: 0.0150 memory: 6332 grad_norm: 3.0443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5676 loss: 2.5676 2022/08/15 03:34:38 - mmengine - INFO - Epoch(train) [142][1500/3757] lr: 4.2057e-02 eta: 1 day, 10:24:33 time: 0.2871 data_time: 0.0170 memory: 6332 grad_norm: 3.0991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7035 loss: 2.7035 2022/08/15 03:35:06 - mmengine - INFO - Epoch(train) [142][1600/3757] lr: 4.2057e-02 eta: 1 day, 10:24:02 time: 0.2828 data_time: 0.0145 memory: 6332 grad_norm: 3.0317 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8012 loss: 2.8012 2022/08/15 03:35:35 - mmengine - INFO - Epoch(train) [142][1700/3757] lr: 4.2057e-02 eta: 1 day, 10:23:30 time: 0.2841 data_time: 0.0151 memory: 6332 grad_norm: 3.0416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6343 loss: 2.6343 2022/08/15 03:36:04 - mmengine - INFO - Epoch(train) [142][1800/3757] lr: 4.2057e-02 eta: 1 day, 10:23:01 time: 0.2848 data_time: 0.0159 memory: 6332 grad_norm: 3.2061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6761 loss: 2.6761 2022/08/15 03:36:33 - mmengine - INFO - Epoch(train) [142][1900/3757] lr: 4.2057e-02 eta: 1 day, 10:22:29 time: 0.2827 data_time: 0.0148 memory: 6332 grad_norm: 3.0735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6994 loss: 2.6994 2022/08/15 03:37:02 - mmengine - INFO - Epoch(train) [142][2000/3757] lr: 4.2057e-02 eta: 1 day, 10:22:00 time: 0.2869 data_time: 0.0161 memory: 6332 grad_norm: 3.0587 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6420 loss: 2.6420 2022/08/15 03:37:31 - mmengine - INFO - Epoch(train) [142][2100/3757] lr: 4.2057e-02 eta: 1 day, 10:21:29 time: 0.2855 data_time: 0.0152 memory: 6332 grad_norm: 3.0796 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6217 loss: 2.6217 2022/08/15 03:37:59 - mmengine - INFO - Epoch(train) [142][2200/3757] lr: 4.2057e-02 eta: 1 day, 10:20:59 time: 0.2880 data_time: 0.0198 memory: 6332 grad_norm: 3.1023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9133 loss: 2.9133 2022/08/15 03:38:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:38:28 - mmengine - INFO - Epoch(train) [142][2300/3757] lr: 4.2057e-02 eta: 1 day, 10:20:29 time: 0.2855 data_time: 0.0161 memory: 6332 grad_norm: 3.0859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5713 loss: 2.5713 2022/08/15 03:38:57 - mmengine - INFO - Epoch(train) [142][2400/3757] lr: 4.2057e-02 eta: 1 day, 10:19:56 time: 0.2842 data_time: 0.0159 memory: 6332 grad_norm: 3.0078 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7551 loss: 2.7551 2022/08/15 03:39:26 - mmengine - INFO - Epoch(train) [142][2500/3757] lr: 4.2057e-02 eta: 1 day, 10:19:26 time: 0.2834 data_time: 0.0150 memory: 6332 grad_norm: 3.0110 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8221 loss: 2.8221 2022/08/15 03:39:54 - mmengine - INFO - Epoch(train) [142][2600/3757] lr: 4.2057e-02 eta: 1 day, 10:18:53 time: 0.2835 data_time: 0.0161 memory: 6332 grad_norm: 3.0774 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7572 loss: 2.7572 2022/08/15 03:40:23 - mmengine - INFO - Epoch(train) [142][2700/3757] lr: 4.2057e-02 eta: 1 day, 10:18:21 time: 0.2839 data_time: 0.0152 memory: 6332 grad_norm: 3.0369 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6593 loss: 2.6593 2022/08/15 03:40:52 - mmengine - INFO - Epoch(train) [142][2800/3757] lr: 4.2057e-02 eta: 1 day, 10:17:48 time: 0.2838 data_time: 0.0152 memory: 6332 grad_norm: 3.1135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7680 loss: 2.7680 2022/08/15 03:41:20 - mmengine - INFO - Epoch(train) [142][2900/3757] lr: 4.2057e-02 eta: 1 day, 10:17:19 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 3.0646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8930 loss: 2.8930 2022/08/15 03:41:49 - mmengine - INFO - Epoch(train) [142][3000/3757] lr: 4.2057e-02 eta: 1 day, 10:16:49 time: 0.2842 data_time: 0.0160 memory: 6332 grad_norm: 3.0406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8332 loss: 2.8332 2022/08/15 03:42:18 - mmengine - INFO - Epoch(train) [142][3100/3757] lr: 4.2057e-02 eta: 1 day, 10:16:21 time: 0.2906 data_time: 0.0165 memory: 6332 grad_norm: 3.2772 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0617 loss: 3.0617 2022/08/15 03:42:47 - mmengine - INFO - Epoch(train) [142][3200/3757] lr: 4.2057e-02 eta: 1 day, 10:15:51 time: 0.2862 data_time: 0.0153 memory: 6332 grad_norm: 3.0648 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8497 loss: 2.8497 2022/08/15 03:43:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:43:16 - mmengine - INFO - Epoch(train) [142][3300/3757] lr: 4.2057e-02 eta: 1 day, 10:15:20 time: 0.2851 data_time: 0.0163 memory: 6332 grad_norm: 3.0294 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6705 loss: 2.6705 2022/08/15 03:43:45 - mmengine - INFO - Epoch(train) [142][3400/3757] lr: 4.2057e-02 eta: 1 day, 10:14:49 time: 0.2835 data_time: 0.0158 memory: 6332 grad_norm: 3.1327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7966 loss: 2.7966 2022/08/15 03:44:13 - mmengine - INFO - Epoch(train) [142][3500/3757] lr: 4.2057e-02 eta: 1 day, 10:14:17 time: 0.2840 data_time: 0.0156 memory: 6332 grad_norm: 3.0613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6271 loss: 2.6271 2022/08/15 03:44:42 - mmengine - INFO - Epoch(train) [142][3600/3757] lr: 4.2057e-02 eta: 1 day, 10:13:46 time: 0.2867 data_time: 0.0161 memory: 6332 grad_norm: 3.2102 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7936 loss: 2.7936 2022/08/15 03:45:11 - mmengine - INFO - Epoch(train) [142][3700/3757] lr: 4.2057e-02 eta: 1 day, 10:13:15 time: 0.2842 data_time: 0.0165 memory: 6332 grad_norm: 3.0586 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7449 loss: 2.7449 2022/08/15 03:45:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:45:27 - mmengine - INFO - Epoch(train) [142][3757/3757] lr: 4.2057e-02 eta: 1 day, 10:13:03 time: 0.2642 data_time: 0.0140 memory: 6332 grad_norm: 3.1012 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.8097 loss: 2.8097 2022/08/15 03:45:58 - mmengine - INFO - Epoch(train) [143][100/3757] lr: 4.1452e-02 eta: 1 day, 10:11:53 time: 0.2851 data_time: 0.0186 memory: 6332 grad_norm: 3.1207 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6479 loss: 2.6479 2022/08/15 03:46:26 - mmengine - INFO - Epoch(train) [143][200/3757] lr: 4.1452e-02 eta: 1 day, 10:11:21 time: 0.2842 data_time: 0.0158 memory: 6332 grad_norm: 3.0441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5180 loss: 2.5180 2022/08/15 03:46:55 - mmengine - INFO - Epoch(train) [143][300/3757] lr: 4.1452e-02 eta: 1 day, 10:10:50 time: 0.2833 data_time: 0.0145 memory: 6332 grad_norm: 3.0343 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4658 loss: 2.4658 2022/08/15 03:47:24 - mmengine - INFO - Epoch(train) [143][400/3757] lr: 4.1452e-02 eta: 1 day, 10:10:20 time: 0.2868 data_time: 0.0157 memory: 6332 grad_norm: 2.9820 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5242 loss: 2.5242 2022/08/15 03:47:53 - mmengine - INFO - Epoch(train) [143][500/3757] lr: 4.1452e-02 eta: 1 day, 10:09:50 time: 0.2831 data_time: 0.0160 memory: 6332 grad_norm: 3.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8163 loss: 2.8163 2022/08/15 03:47:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:48:21 - mmengine - INFO - Epoch(train) [143][600/3757] lr: 4.1452e-02 eta: 1 day, 10:09:18 time: 0.2840 data_time: 0.0159 memory: 6332 grad_norm: 3.0192 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7797 loss: 2.7797 2022/08/15 03:48:50 - mmengine - INFO - Epoch(train) [143][700/3757] lr: 4.1452e-02 eta: 1 day, 10:08:47 time: 0.2859 data_time: 0.0165 memory: 6332 grad_norm: 3.1164 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4206 loss: 2.4206 2022/08/15 03:49:19 - mmengine - INFO - Epoch(train) [143][800/3757] lr: 4.1452e-02 eta: 1 day, 10:08:16 time: 0.2846 data_time: 0.0166 memory: 6332 grad_norm: 3.1660 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7315 loss: 2.7315 2022/08/15 03:49:48 - mmengine - INFO - Epoch(train) [143][900/3757] lr: 4.1452e-02 eta: 1 day, 10:07:47 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 3.0440 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0425 loss: 3.0425 2022/08/15 03:50:17 - mmengine - INFO - Epoch(train) [143][1000/3757] lr: 4.1452e-02 eta: 1 day, 10:07:15 time: 0.2835 data_time: 0.0149 memory: 6332 grad_norm: 3.1606 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4512 loss: 2.4512 2022/08/15 03:50:45 - mmengine - INFO - Epoch(train) [143][1100/3757] lr: 4.1452e-02 eta: 1 day, 10:06:45 time: 0.2826 data_time: 0.0147 memory: 6332 grad_norm: 3.0383 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6782 loss: 2.6782 2022/08/15 03:51:14 - mmengine - INFO - Epoch(train) [143][1200/3757] lr: 4.1452e-02 eta: 1 day, 10:06:14 time: 0.2836 data_time: 0.0148 memory: 6332 grad_norm: 3.0713 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6930 loss: 2.6930 2022/08/15 03:51:43 - mmengine - INFO - Epoch(train) [143][1300/3757] lr: 4.1452e-02 eta: 1 day, 10:05:44 time: 0.2910 data_time: 0.0176 memory: 6332 grad_norm: 3.0497 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7653 loss: 2.7653 2022/08/15 03:52:12 - mmengine - INFO - Epoch(train) [143][1400/3757] lr: 4.1452e-02 eta: 1 day, 10:05:14 time: 0.2844 data_time: 0.0148 memory: 6332 grad_norm: 2.9965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8185 loss: 2.8185 2022/08/15 03:52:41 - mmengine - INFO - Epoch(train) [143][1500/3757] lr: 4.1452e-02 eta: 1 day, 10:04:44 time: 0.2890 data_time: 0.0155 memory: 6332 grad_norm: 3.1236 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8533 loss: 2.8533 2022/08/15 03:52:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:53:09 - mmengine - INFO - Epoch(train) [143][1600/3757] lr: 4.1452e-02 eta: 1 day, 10:04:14 time: 0.2847 data_time: 0.0162 memory: 6332 grad_norm: 3.1149 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6556 loss: 2.6556 2022/08/15 03:53:38 - mmengine - INFO - Epoch(train) [143][1700/3757] lr: 4.1452e-02 eta: 1 day, 10:03:44 time: 0.2844 data_time: 0.0161 memory: 6332 grad_norm: 3.1213 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8398 loss: 2.8398 2022/08/15 03:54:07 - mmengine - INFO - Epoch(train) [143][1800/3757] lr: 4.1452e-02 eta: 1 day, 10:03:14 time: 0.2862 data_time: 0.0158 memory: 6332 grad_norm: 3.1371 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6871 loss: 2.6871 2022/08/15 03:54:36 - mmengine - INFO - Epoch(train) [143][1900/3757] lr: 4.1452e-02 eta: 1 day, 10:02:43 time: 0.2853 data_time: 0.0169 memory: 6332 grad_norm: 3.0111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5147 loss: 2.5147 2022/08/15 03:55:05 - mmengine - INFO - Epoch(train) [143][2000/3757] lr: 4.1452e-02 eta: 1 day, 10:02:14 time: 0.2845 data_time: 0.0164 memory: 6332 grad_norm: 3.0874 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4735 loss: 2.4735 2022/08/15 03:55:33 - mmengine - INFO - Epoch(train) [143][2100/3757] lr: 4.1452e-02 eta: 1 day, 10:01:43 time: 0.2856 data_time: 0.0152 memory: 6332 grad_norm: 3.2218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8163 loss: 2.8163 2022/08/15 03:56:02 - mmengine - INFO - Epoch(train) [143][2200/3757] lr: 4.1452e-02 eta: 1 day, 10:01:13 time: 0.2856 data_time: 0.0154 memory: 6332 grad_norm: 3.0665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4172 loss: 2.4172 2022/08/15 03:56:31 - mmengine - INFO - Epoch(train) [143][2300/3757] lr: 4.1452e-02 eta: 1 day, 10:00:43 time: 0.2858 data_time: 0.0154 memory: 6332 grad_norm: 3.1229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4886 loss: 2.4886 2022/08/15 03:57:00 - mmengine - INFO - Epoch(train) [143][2400/3757] lr: 4.1452e-02 eta: 1 day, 10:00:13 time: 0.2863 data_time: 0.0167 memory: 6332 grad_norm: 3.0183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8258 loss: 2.8258 2022/08/15 03:57:29 - mmengine - INFO - Epoch(train) [143][2500/3757] lr: 4.1452e-02 eta: 1 day, 9:59:43 time: 0.2860 data_time: 0.0155 memory: 6332 grad_norm: 3.0624 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6291 loss: 2.6291 2022/08/15 03:57:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 03:57:57 - mmengine - INFO - Epoch(train) [143][2600/3757] lr: 4.1452e-02 eta: 1 day, 9:59:12 time: 0.2850 data_time: 0.0153 memory: 6332 grad_norm: 3.0553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5272 loss: 2.5272 2022/08/15 03:58:26 - mmengine - INFO - Epoch(train) [143][2700/3757] lr: 4.1452e-02 eta: 1 day, 9:58:42 time: 0.2837 data_time: 0.0149 memory: 6332 grad_norm: 3.0538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7549 loss: 2.7549 2022/08/15 03:58:55 - mmengine - INFO - Epoch(train) [143][2800/3757] lr: 4.1452e-02 eta: 1 day, 9:58:11 time: 0.2833 data_time: 0.0150 memory: 6332 grad_norm: 3.1166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6586 loss: 2.6586 2022/08/15 03:59:24 - mmengine - INFO - Epoch(train) [143][2900/3757] lr: 4.1452e-02 eta: 1 day, 9:57:44 time: 0.2838 data_time: 0.0147 memory: 6332 grad_norm: 3.0469 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5000 loss: 2.5000 2022/08/15 03:59:53 - mmengine - INFO - Epoch(train) [143][3000/3757] lr: 4.1452e-02 eta: 1 day, 9:57:13 time: 0.2846 data_time: 0.0146 memory: 6332 grad_norm: 3.0821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0301 loss: 3.0301 2022/08/15 04:00:22 - mmengine - INFO - Epoch(train) [143][3100/3757] lr: 4.1452e-02 eta: 1 day, 9:56:43 time: 0.2874 data_time: 0.0163 memory: 6332 grad_norm: 3.0488 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6555 loss: 2.6555 2022/08/15 04:00:50 - mmengine - INFO - Epoch(train) [143][3200/3757] lr: 4.1452e-02 eta: 1 day, 9:56:11 time: 0.2828 data_time: 0.0148 memory: 6332 grad_norm: 3.0972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2768 loss: 2.2768 2022/08/15 04:01:19 - mmengine - INFO - Epoch(train) [143][3300/3757] lr: 4.1452e-02 eta: 1 day, 9:55:40 time: 0.2839 data_time: 0.0164 memory: 6332 grad_norm: 3.1068 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7969 loss: 2.7969 2022/08/15 04:01:48 - mmengine - INFO - Epoch(train) [143][3400/3757] lr: 4.1452e-02 eta: 1 day, 9:55:08 time: 0.2832 data_time: 0.0143 memory: 6332 grad_norm: 3.0616 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5830 loss: 2.5830 2022/08/15 04:02:16 - mmengine - INFO - Epoch(train) [143][3500/3757] lr: 4.1452e-02 eta: 1 day, 9:54:38 time: 0.2835 data_time: 0.0171 memory: 6332 grad_norm: 3.2169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6875 loss: 2.6875 2022/08/15 04:02:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:02:45 - mmengine - INFO - Epoch(train) [143][3600/3757] lr: 4.1452e-02 eta: 1 day, 9:54:08 time: 0.2860 data_time: 0.0151 memory: 6332 grad_norm: 3.1053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8075 loss: 2.8075 2022/08/15 04:03:14 - mmengine - INFO - Epoch(train) [143][3700/3757] lr: 4.1452e-02 eta: 1 day, 9:53:38 time: 0.2893 data_time: 0.0155 memory: 6332 grad_norm: 2.9883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4873 loss: 2.4873 2022/08/15 04:03:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:03:30 - mmengine - INFO - Epoch(train) [143][3757/3757] lr: 4.1452e-02 eta: 1 day, 9:53:27 time: 0.2641 data_time: 0.0140 memory: 6332 grad_norm: 3.1692 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.9560 loss: 2.9560 2022/08/15 04:04:02 - mmengine - INFO - Epoch(train) [144][100/3757] lr: 4.0848e-02 eta: 1 day, 9:52:28 time: 0.2854 data_time: 0.0149 memory: 6332 grad_norm: 3.0731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6819 loss: 2.6819 2022/08/15 04:04:31 - mmengine - INFO - Epoch(train) [144][200/3757] lr: 4.0848e-02 eta: 1 day, 9:52:02 time: 0.3049 data_time: 0.0152 memory: 6332 grad_norm: 3.1068 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5633 loss: 2.5633 2022/08/15 04:05:00 - mmengine - INFO - Epoch(train) [144][300/3757] lr: 4.0848e-02 eta: 1 day, 9:51:32 time: 0.2836 data_time: 0.0171 memory: 6332 grad_norm: 3.1671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0101 loss: 3.0101 2022/08/15 04:05:28 - mmengine - INFO - Epoch(train) [144][400/3757] lr: 4.0848e-02 eta: 1 day, 9:51:02 time: 0.2846 data_time: 0.0153 memory: 6332 grad_norm: 3.0410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4434 loss: 2.4434 2022/08/15 04:05:57 - mmengine - INFO - Epoch(train) [144][500/3757] lr: 4.0848e-02 eta: 1 day, 9:50:31 time: 0.2841 data_time: 0.0164 memory: 6332 grad_norm: 3.0479 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/15 04:06:26 - mmengine - INFO - Epoch(train) [144][600/3757] lr: 4.0848e-02 eta: 1 day, 9:50:01 time: 0.2853 data_time: 0.0165 memory: 6332 grad_norm: 3.1030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7141 loss: 2.7141 2022/08/15 04:06:55 - mmengine - INFO - Epoch(train) [144][700/3757] lr: 4.0848e-02 eta: 1 day, 9:49:32 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 3.0975 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6853 loss: 2.6853 2022/08/15 04:07:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:07:24 - mmengine - INFO - Epoch(train) [144][800/3757] lr: 4.0848e-02 eta: 1 day, 9:49:02 time: 0.2875 data_time: 0.0151 memory: 6332 grad_norm: 3.0479 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7185 loss: 2.7185 2022/08/15 04:07:53 - mmengine - INFO - Epoch(train) [144][900/3757] lr: 4.0848e-02 eta: 1 day, 9:48:33 time: 0.2882 data_time: 0.0156 memory: 6332 grad_norm: 3.0867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5102 loss: 2.5102 2022/08/15 04:08:21 - mmengine - INFO - Epoch(train) [144][1000/3757] lr: 4.0848e-02 eta: 1 day, 9:48:03 time: 0.2845 data_time: 0.0146 memory: 6332 grad_norm: 3.2439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7313 loss: 2.7313 2022/08/15 04:08:50 - mmengine - INFO - Epoch(train) [144][1100/3757] lr: 4.0848e-02 eta: 1 day, 9:47:33 time: 0.2870 data_time: 0.0151 memory: 6332 grad_norm: 3.0842 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9580 loss: 2.9580 2022/08/15 04:09:19 - mmengine - INFO - Epoch(train) [144][1200/3757] lr: 4.0848e-02 eta: 1 day, 9:47:02 time: 0.2828 data_time: 0.0146 memory: 6332 grad_norm: 3.0998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7370 loss: 2.7370 2022/08/15 04:09:47 - mmengine - INFO - Epoch(train) [144][1300/3757] lr: 4.0848e-02 eta: 1 day, 9:46:30 time: 0.2845 data_time: 0.0152 memory: 6332 grad_norm: 3.0946 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6202 loss: 2.6202 2022/08/15 04:10:16 - mmengine - INFO - Epoch(train) [144][1400/3757] lr: 4.0848e-02 eta: 1 day, 9:46:01 time: 0.2836 data_time: 0.0160 memory: 6332 grad_norm: 3.1253 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7860 loss: 2.7860 2022/08/15 04:10:45 - mmengine - INFO - Epoch(train) [144][1500/3757] lr: 4.0848e-02 eta: 1 day, 9:45:32 time: 0.2857 data_time: 0.0158 memory: 6332 grad_norm: 2.9954 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6592 loss: 2.6592 2022/08/15 04:11:14 - mmengine - INFO - Epoch(train) [144][1600/3757] lr: 4.0848e-02 eta: 1 day, 9:45:02 time: 0.2867 data_time: 0.0160 memory: 6332 grad_norm: 3.1391 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6531 loss: 2.6531 2022/08/15 04:11:43 - mmengine - INFO - Epoch(train) [144][1700/3757] lr: 4.0848e-02 eta: 1 day, 9:44:33 time: 0.2855 data_time: 0.0162 memory: 6332 grad_norm: 3.1102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7005 loss: 2.7005 2022/08/15 04:11:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:12:12 - mmengine - INFO - Epoch(train) [144][1800/3757] lr: 4.0848e-02 eta: 1 day, 9:44:03 time: 0.2842 data_time: 0.0142 memory: 6332 grad_norm: 3.1520 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4505 loss: 2.4505 2022/08/15 04:12:41 - mmengine - INFO - Epoch(train) [144][1900/3757] lr: 4.0848e-02 eta: 1 day, 9:43:33 time: 0.2875 data_time: 0.0161 memory: 6332 grad_norm: 3.0819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7771 loss: 2.7771 2022/08/15 04:13:09 - mmengine - INFO - Epoch(train) [144][2000/3757] lr: 4.0848e-02 eta: 1 day, 9:43:03 time: 0.2858 data_time: 0.0157 memory: 6332 grad_norm: 3.1462 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0393 loss: 3.0393 2022/08/15 04:13:38 - mmengine - INFO - Epoch(train) [144][2100/3757] lr: 4.0848e-02 eta: 1 day, 9:42:33 time: 0.2835 data_time: 0.0153 memory: 6332 grad_norm: 3.0257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5366 loss: 2.5366 2022/08/15 04:14:07 - mmengine - INFO - Epoch(train) [144][2200/3757] lr: 4.0848e-02 eta: 1 day, 9:42:04 time: 0.2867 data_time: 0.0161 memory: 6332 grad_norm: 3.1702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6826 loss: 2.6826 2022/08/15 04:14:36 - mmengine - INFO - Epoch(train) [144][2300/3757] lr: 4.0848e-02 eta: 1 day, 9:41:34 time: 0.2834 data_time: 0.0149 memory: 6332 grad_norm: 3.1591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4639 loss: 2.4639 2022/08/15 04:15:05 - mmengine - INFO - Epoch(train) [144][2400/3757] lr: 4.0848e-02 eta: 1 day, 9:41:04 time: 0.2883 data_time: 0.0168 memory: 6332 grad_norm: 3.1082 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7467 loss: 2.7467 2022/08/15 04:15:33 - mmengine - INFO - Epoch(train) [144][2500/3757] lr: 4.0848e-02 eta: 1 day, 9:40:34 time: 0.2849 data_time: 0.0154 memory: 6332 grad_norm: 3.0766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7199 loss: 2.7199 2022/08/15 04:16:02 - mmengine - INFO - Epoch(train) [144][2600/3757] lr: 4.0848e-02 eta: 1 day, 9:40:04 time: 0.2874 data_time: 0.0164 memory: 6332 grad_norm: 3.0379 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6518 loss: 2.6518 2022/08/15 04:16:31 - mmengine - INFO - Epoch(train) [144][2700/3757] lr: 4.0848e-02 eta: 1 day, 9:39:35 time: 0.2867 data_time: 0.0157 memory: 6332 grad_norm: 3.0492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5187 loss: 2.5187 2022/08/15 04:16:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:17:00 - mmengine - INFO - Epoch(train) [144][2800/3757] lr: 4.0848e-02 eta: 1 day, 9:39:04 time: 0.2850 data_time: 0.0163 memory: 6332 grad_norm: 3.0688 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8186 loss: 2.8186 2022/08/15 04:17:28 - mmengine - INFO - Epoch(train) [144][2900/3757] lr: 4.0848e-02 eta: 1 day, 9:38:33 time: 0.2842 data_time: 0.0151 memory: 6332 grad_norm: 3.0517 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7352 loss: 2.7352 2022/08/15 04:17:57 - mmengine - INFO - Epoch(train) [144][3000/3757] lr: 4.0848e-02 eta: 1 day, 9:38:03 time: 0.2844 data_time: 0.0149 memory: 6332 grad_norm: 2.9988 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7595 loss: 2.7595 2022/08/15 04:18:26 - mmengine - INFO - Epoch(train) [144][3100/3757] lr: 4.0848e-02 eta: 1 day, 9:37:32 time: 0.2864 data_time: 0.0164 memory: 6332 grad_norm: 3.0564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5052 loss: 2.5052 2022/08/15 04:18:55 - mmengine - INFO - Epoch(train) [144][3200/3757] lr: 4.0848e-02 eta: 1 day, 9:37:02 time: 0.2846 data_time: 0.0160 memory: 6332 grad_norm: 3.0976 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7281 loss: 2.7281 2022/08/15 04:19:24 - mmengine - INFO - Epoch(train) [144][3300/3757] lr: 4.0848e-02 eta: 1 day, 9:36:32 time: 0.2841 data_time: 0.0153 memory: 6332 grad_norm: 2.9969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7022 loss: 2.7022 2022/08/15 04:19:52 - mmengine - INFO - Epoch(train) [144][3400/3757] lr: 4.0848e-02 eta: 1 day, 9:36:01 time: 0.2838 data_time: 0.0152 memory: 6332 grad_norm: 3.0400 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6568 loss: 2.6568 2022/08/15 04:20:21 - mmengine - INFO - Epoch(train) [144][3500/3757] lr: 4.0848e-02 eta: 1 day, 9:35:31 time: 0.2842 data_time: 0.0160 memory: 6332 grad_norm: 3.0692 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9177 loss: 2.9177 2022/08/15 04:20:50 - mmengine - INFO - Epoch(train) [144][3600/3757] lr: 4.0848e-02 eta: 1 day, 9:35:01 time: 0.2827 data_time: 0.0161 memory: 6332 grad_norm: 3.2010 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6259 loss: 2.6259 2022/08/15 04:21:18 - mmengine - INFO - Epoch(train) [144][3700/3757] lr: 4.0848e-02 eta: 1 day, 9:34:30 time: 0.2835 data_time: 0.0148 memory: 6332 grad_norm: 3.1529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5405 loss: 2.5405 2022/08/15 04:21:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:21:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:21:34 - mmengine - INFO - Epoch(train) [144][3757/3757] lr: 4.0848e-02 eta: 1 day, 9:34:18 time: 0.2642 data_time: 0.0139 memory: 6332 grad_norm: 3.0992 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.6941 loss: 2.6941 2022/08/15 04:21:35 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/15 04:22:10 - mmengine - INFO - Epoch(train) [145][100/3757] lr: 4.0245e-02 eta: 1 day, 9:33:08 time: 0.2839 data_time: 0.0144 memory: 6332 grad_norm: 3.1261 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5603 loss: 2.5603 2022/08/15 04:22:39 - mmengine - INFO - Epoch(train) [145][200/3757] lr: 4.0245e-02 eta: 1 day, 9:32:39 time: 0.2847 data_time: 0.0152 memory: 6332 grad_norm: 3.1119 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6048 loss: 2.6048 2022/08/15 04:23:08 - mmengine - INFO - Epoch(train) [145][300/3757] lr: 4.0245e-02 eta: 1 day, 9:32:11 time: 0.2856 data_time: 0.0153 memory: 6332 grad_norm: 3.1224 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0338 loss: 3.0338 2022/08/15 04:23:37 - mmengine - INFO - Epoch(train) [145][400/3757] lr: 4.0245e-02 eta: 1 day, 9:31:44 time: 0.2843 data_time: 0.0172 memory: 6332 grad_norm: 3.1320 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3544 loss: 2.3544 2022/08/15 04:24:06 - mmengine - INFO - Epoch(train) [145][500/3757] lr: 4.0245e-02 eta: 1 day, 9:31:14 time: 0.2851 data_time: 0.0156 memory: 6332 grad_norm: 3.0364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3770 loss: 2.3770 2022/08/15 04:24:35 - mmengine - INFO - Epoch(train) [145][600/3757] lr: 4.0245e-02 eta: 1 day, 9:30:44 time: 0.2863 data_time: 0.0147 memory: 6332 grad_norm: 3.1428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5386 loss: 2.5386 2022/08/15 04:25:03 - mmengine - INFO - Epoch(train) [145][700/3757] lr: 4.0245e-02 eta: 1 day, 9:30:15 time: 0.2837 data_time: 0.0163 memory: 6332 grad_norm: 3.1760 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2935 loss: 2.2935 2022/08/15 04:25:32 - mmengine - INFO - Epoch(train) [145][800/3757] lr: 4.0245e-02 eta: 1 day, 9:29:44 time: 0.2829 data_time: 0.0157 memory: 6332 grad_norm: 3.1216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8018 loss: 2.8018 2022/08/15 04:26:01 - mmengine - INFO - Epoch(train) [145][900/3757] lr: 4.0245e-02 eta: 1 day, 9:29:14 time: 0.2845 data_time: 0.0153 memory: 6332 grad_norm: 3.0971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5751 loss: 2.5751 2022/08/15 04:26:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:26:30 - mmengine - INFO - Epoch(train) [145][1000/3757] lr: 4.0245e-02 eta: 1 day, 9:28:45 time: 0.2830 data_time: 0.0164 memory: 6332 grad_norm: 3.1104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6946 loss: 2.6946 2022/08/15 04:26:59 - mmengine - INFO - Epoch(train) [145][1100/3757] lr: 4.0245e-02 eta: 1 day, 9:28:15 time: 0.2850 data_time: 0.0150 memory: 6332 grad_norm: 3.1205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7463 loss: 2.7463 2022/08/15 04:27:27 - mmengine - INFO - Epoch(train) [145][1200/3757] lr: 4.0245e-02 eta: 1 day, 9:27:47 time: 0.2875 data_time: 0.0153 memory: 6332 grad_norm: 3.0823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5460 loss: 2.5460 2022/08/15 04:27:56 - mmengine - INFO - Epoch(train) [145][1300/3757] lr: 4.0245e-02 eta: 1 day, 9:27:17 time: 0.2865 data_time: 0.0158 memory: 6332 grad_norm: 3.1674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6884 loss: 2.6884 2022/08/15 04:28:25 - mmengine - INFO - Epoch(train) [145][1400/3757] lr: 4.0245e-02 eta: 1 day, 9:26:47 time: 0.2848 data_time: 0.0162 memory: 6332 grad_norm: 3.2296 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0453 loss: 3.0453 2022/08/15 04:28:54 - mmengine - INFO - Epoch(train) [145][1500/3757] lr: 4.0245e-02 eta: 1 day, 9:26:16 time: 0.2838 data_time: 0.0155 memory: 6332 grad_norm: 3.1527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6319 loss: 2.6319 2022/08/15 04:29:22 - mmengine - INFO - Epoch(train) [145][1600/3757] lr: 4.0245e-02 eta: 1 day, 9:25:46 time: 0.2890 data_time: 0.0163 memory: 6332 grad_norm: 3.1540 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5797 loss: 2.5797 2022/08/15 04:29:51 - mmengine - INFO - Epoch(train) [145][1700/3757] lr: 4.0245e-02 eta: 1 day, 9:25:17 time: 0.2840 data_time: 0.0150 memory: 6332 grad_norm: 3.1380 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9736 loss: 2.9736 2022/08/15 04:30:20 - mmengine - INFO - Epoch(train) [145][1800/3757] lr: 4.0245e-02 eta: 1 day, 9:24:47 time: 0.2831 data_time: 0.0156 memory: 6332 grad_norm: 3.0639 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8159 loss: 2.8159 2022/08/15 04:30:49 - mmengine - INFO - Epoch(train) [145][1900/3757] lr: 4.0245e-02 eta: 1 day, 9:24:17 time: 0.2841 data_time: 0.0148 memory: 6332 grad_norm: 3.0875 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8756 loss: 2.8756 2022/08/15 04:31:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:31:18 - mmengine - INFO - Epoch(train) [145][2000/3757] lr: 4.0245e-02 eta: 1 day, 9:23:49 time: 0.2849 data_time: 0.0157 memory: 6332 grad_norm: 3.0988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6668 loss: 2.6668 2022/08/15 04:31:47 - mmengine - INFO - Epoch(train) [145][2100/3757] lr: 4.0245e-02 eta: 1 day, 9:23:20 time: 0.2861 data_time: 0.0165 memory: 6332 grad_norm: 3.0616 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5122 loss: 2.5122 2022/08/15 04:32:15 - mmengine - INFO - Epoch(train) [145][2200/3757] lr: 4.0245e-02 eta: 1 day, 9:22:50 time: 0.2856 data_time: 0.0168 memory: 6332 grad_norm: 3.0945 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6431 loss: 2.6431 2022/08/15 04:32:45 - mmengine - INFO - Epoch(train) [145][2300/3757] lr: 4.0245e-02 eta: 1 day, 9:22:22 time: 0.2872 data_time: 0.0155 memory: 6332 grad_norm: 3.1184 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5417 loss: 2.5417 2022/08/15 04:33:13 - mmengine - INFO - Epoch(train) [145][2400/3757] lr: 4.0245e-02 eta: 1 day, 9:21:54 time: 0.2860 data_time: 0.0152 memory: 6332 grad_norm: 3.1655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5880 loss: 2.5880 2022/08/15 04:33:42 - mmengine - INFO - Epoch(train) [145][2500/3757] lr: 4.0245e-02 eta: 1 day, 9:21:25 time: 0.2879 data_time: 0.0178 memory: 6332 grad_norm: 3.1302 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6683 loss: 2.6683 2022/08/15 04:34:11 - mmengine - INFO - Epoch(train) [145][2600/3757] lr: 4.0245e-02 eta: 1 day, 9:20:56 time: 0.2858 data_time: 0.0155 memory: 6332 grad_norm: 3.0503 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6587 loss: 2.6587 2022/08/15 04:34:40 - mmengine - INFO - Epoch(train) [145][2700/3757] lr: 4.0245e-02 eta: 1 day, 9:20:27 time: 0.2837 data_time: 0.0152 memory: 6332 grad_norm: 3.1429 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8351 loss: 2.8351 2022/08/15 04:35:09 - mmengine - INFO - Epoch(train) [145][2800/3757] lr: 4.0245e-02 eta: 1 day, 9:19:57 time: 0.2905 data_time: 0.0174 memory: 6332 grad_norm: 3.0987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6145 loss: 2.6145 2022/08/15 04:35:38 - mmengine - INFO - Epoch(train) [145][2900/3757] lr: 4.0245e-02 eta: 1 day, 9:19:28 time: 0.2852 data_time: 0.0180 memory: 6332 grad_norm: 3.2222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5485 loss: 2.5485 2022/08/15 04:36:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:36:06 - mmengine - INFO - Epoch(train) [145][3000/3757] lr: 4.0245e-02 eta: 1 day, 9:18:57 time: 0.2865 data_time: 0.0155 memory: 6332 grad_norm: 3.0896 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9512 loss: 2.9512 2022/08/15 04:36:35 - mmengine - INFO - Epoch(train) [145][3100/3757] lr: 4.0245e-02 eta: 1 day, 9:18:28 time: 0.2869 data_time: 0.0159 memory: 6332 grad_norm: 3.1136 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6617 loss: 2.6617 2022/08/15 04:37:04 - mmengine - INFO - Epoch(train) [145][3200/3757] lr: 4.0245e-02 eta: 1 day, 9:17:58 time: 0.2847 data_time: 0.0157 memory: 6332 grad_norm: 3.1252 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9457 loss: 2.9457 2022/08/15 04:37:33 - mmengine - INFO - Epoch(train) [145][3300/3757] lr: 4.0245e-02 eta: 1 day, 9:17:28 time: 0.2842 data_time: 0.0153 memory: 6332 grad_norm: 3.1139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3726 loss: 2.3726 2022/08/15 04:38:02 - mmengine - INFO - Epoch(train) [145][3400/3757] lr: 4.0245e-02 eta: 1 day, 9:16:58 time: 0.2857 data_time: 0.0152 memory: 6332 grad_norm: 3.0793 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4527 loss: 2.4527 2022/08/15 04:38:30 - mmengine - INFO - Epoch(train) [145][3500/3757] lr: 4.0245e-02 eta: 1 day, 9:16:28 time: 0.2847 data_time: 0.0165 memory: 6332 grad_norm: 3.1009 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6541 loss: 2.6541 2022/08/15 04:38:59 - mmengine - INFO - Epoch(train) [145][3600/3757] lr: 4.0245e-02 eta: 1 day, 9:15:58 time: 0.2843 data_time: 0.0160 memory: 6332 grad_norm: 3.0518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5612 loss: 2.5612 2022/08/15 04:39:28 - mmengine - INFO - Epoch(train) [145][3700/3757] lr: 4.0245e-02 eta: 1 day, 9:15:29 time: 0.2859 data_time: 0.0165 memory: 6332 grad_norm: 3.0822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5705 loss: 2.5705 2022/08/15 04:39:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:39:44 - mmengine - INFO - Epoch(train) [145][3757/3757] lr: 4.0245e-02 eta: 1 day, 9:15:18 time: 0.2657 data_time: 0.0153 memory: 6332 grad_norm: 3.1754 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.5164 loss: 2.5164 2022/08/15 04:40:07 - mmengine - INFO - Epoch(val) [145][100/310] eta: 0:00:45 time: 0.2158 data_time: 0.1195 memory: 1147 2022/08/15 04:40:30 - mmengine - INFO - Epoch(val) [145][200/310] eta: 0:00:21 time: 0.1949 data_time: 0.0946 memory: 1147 2022/08/15 04:40:51 - mmengine - INFO - Epoch(val) [145][300/310] eta: 0:00:02 time: 0.2253 data_time: 0.1301 memory: 1147 2022/08/15 04:40:55 - mmengine - INFO - Epoch(val) [145][310/310] acc/top1: 0.4707 acc/top5: 0.7400 acc/mean1: 0.4706 2022/08/15 04:40:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_141.pth is removed 2022/08/15 04:40:59 - mmengine - INFO - The best checkpoint with 0.4707 acc/top1 at 146 epoch is saved to best_acc/top1_epoch_146.pth. 2022/08/15 04:41:29 - mmengine - INFO - Epoch(train) [146][100/3757] lr: 3.9644e-02 eta: 1 day, 9:14:09 time: 0.2840 data_time: 0.0153 memory: 6332 grad_norm: 3.0585 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5116 loss: 2.5116 2022/08/15 04:41:58 - mmengine - INFO - Epoch(train) [146][200/3757] lr: 3.9644e-02 eta: 1 day, 9:13:40 time: 0.2857 data_time: 0.0164 memory: 6332 grad_norm: 3.2456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0086 loss: 3.0086 2022/08/15 04:42:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:42:27 - mmengine - INFO - Epoch(train) [146][300/3757] lr: 3.9644e-02 eta: 1 day, 9:13:10 time: 0.2868 data_time: 0.0159 memory: 6332 grad_norm: 3.1562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7800 loss: 2.7800 2022/08/15 04:42:55 - mmengine - INFO - Epoch(train) [146][400/3757] lr: 3.9644e-02 eta: 1 day, 9:12:41 time: 0.2849 data_time: 0.0157 memory: 6332 grad_norm: 3.0150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5519 loss: 2.5519 2022/08/15 04:43:24 - mmengine - INFO - Epoch(train) [146][500/3757] lr: 3.9644e-02 eta: 1 day, 9:12:12 time: 0.2915 data_time: 0.0189 memory: 6332 grad_norm: 3.1462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7881 loss: 2.7881 2022/08/15 04:43:53 - mmengine - INFO - Epoch(train) [146][600/3757] lr: 3.9644e-02 eta: 1 day, 9:11:43 time: 0.2829 data_time: 0.0165 memory: 6332 grad_norm: 3.0834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5469 loss: 2.5469 2022/08/15 04:44:22 - mmengine - INFO - Epoch(train) [146][700/3757] lr: 3.9644e-02 eta: 1 day, 9:11:14 time: 0.2841 data_time: 0.0158 memory: 6332 grad_norm: 3.1977 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6868 loss: 2.6868 2022/08/15 04:44:51 - mmengine - INFO - Epoch(train) [146][800/3757] lr: 3.9644e-02 eta: 1 day, 9:10:44 time: 0.2835 data_time: 0.0152 memory: 6332 grad_norm: 3.1217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6185 loss: 2.6185 2022/08/15 04:45:20 - mmengine - INFO - Epoch(train) [146][900/3757] lr: 3.9644e-02 eta: 1 day, 9:10:16 time: 0.2865 data_time: 0.0162 memory: 6332 grad_norm: 3.1039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6508 loss: 2.6508 2022/08/15 04:45:49 - mmengine - INFO - Epoch(train) [146][1000/3757] lr: 3.9644e-02 eta: 1 day, 9:09:47 time: 0.2891 data_time: 0.0163 memory: 6332 grad_norm: 3.0757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5261 loss: 2.5261 2022/08/15 04:46:17 - mmengine - INFO - Epoch(train) [146][1100/3757] lr: 3.9644e-02 eta: 1 day, 9:09:18 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 3.0489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5399 loss: 2.5399 2022/08/15 04:46:46 - mmengine - INFO - Epoch(train) [146][1200/3757] lr: 3.9644e-02 eta: 1 day, 9:08:49 time: 0.2895 data_time: 0.0168 memory: 6332 grad_norm: 3.1477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1421 loss: 3.1421 2022/08/15 04:46:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:47:15 - mmengine - INFO - Epoch(train) [146][1300/3757] lr: 3.9644e-02 eta: 1 day, 9:08:19 time: 0.2869 data_time: 0.0163 memory: 6332 grad_norm: 3.1594 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5390 loss: 2.5390 2022/08/15 04:47:44 - mmengine - INFO - Epoch(train) [146][1400/3757] lr: 3.9644e-02 eta: 1 day, 9:07:51 time: 0.2876 data_time: 0.0165 memory: 6332 grad_norm: 3.0739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4461 loss: 2.4461 2022/08/15 04:48:13 - mmengine - INFO - Epoch(train) [146][1500/3757] lr: 3.9644e-02 eta: 1 day, 9:07:21 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 3.0972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6547 loss: 2.6547 2022/08/15 04:48:42 - mmengine - INFO - Epoch(train) [146][1600/3757] lr: 3.9644e-02 eta: 1 day, 9:06:52 time: 0.2853 data_time: 0.0168 memory: 6332 grad_norm: 3.0543 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4691 loss: 2.4691 2022/08/15 04:49:10 - mmengine - INFO - Epoch(train) [146][1700/3757] lr: 3.9644e-02 eta: 1 day, 9:06:23 time: 0.2851 data_time: 0.0153 memory: 6332 grad_norm: 3.1878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6123 loss: 2.6123 2022/08/15 04:49:39 - mmengine - INFO - Epoch(train) [146][1800/3757] lr: 3.9644e-02 eta: 1 day, 9:05:53 time: 0.2869 data_time: 0.0155 memory: 6332 grad_norm: 3.1963 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9946 loss: 2.9946 2022/08/15 04:50:08 - mmengine - INFO - Epoch(train) [146][1900/3757] lr: 3.9644e-02 eta: 1 day, 9:05:24 time: 0.2866 data_time: 0.0160 memory: 6332 grad_norm: 3.1681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3816 loss: 2.3816 2022/08/15 04:50:37 - mmengine - INFO - Epoch(train) [146][2000/3757] lr: 3.9644e-02 eta: 1 day, 9:04:55 time: 0.2883 data_time: 0.0156 memory: 6332 grad_norm: 3.1848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5061 loss: 2.5061 2022/08/15 04:51:06 - mmengine - INFO - Epoch(train) [146][2100/3757] lr: 3.9644e-02 eta: 1 day, 9:04:26 time: 0.2854 data_time: 0.0155 memory: 6332 grad_norm: 3.1945 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9597 loss: 2.9597 2022/08/15 04:51:35 - mmengine - INFO - Epoch(train) [146][2200/3757] lr: 3.9644e-02 eta: 1 day, 9:03:58 time: 0.2871 data_time: 0.0162 memory: 6332 grad_norm: 3.1414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3471 loss: 2.3471 2022/08/15 04:51:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:52:04 - mmengine - INFO - Epoch(train) [146][2300/3757] lr: 3.9644e-02 eta: 1 day, 9:03:30 time: 0.2928 data_time: 0.0157 memory: 6332 grad_norm: 3.0609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6903 loss: 2.6903 2022/08/15 04:52:33 - mmengine - INFO - Epoch(train) [146][2400/3757] lr: 3.9644e-02 eta: 1 day, 9:03:01 time: 0.2849 data_time: 0.0151 memory: 6332 grad_norm: 3.1156 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3994 loss: 2.3994 2022/08/15 04:53:01 - mmengine - INFO - Epoch(train) [146][2500/3757] lr: 3.9644e-02 eta: 1 day, 9:02:32 time: 0.2834 data_time: 0.0153 memory: 6332 grad_norm: 3.1160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6755 loss: 2.6755 2022/08/15 04:53:30 - mmengine - INFO - Epoch(train) [146][2600/3757] lr: 3.9644e-02 eta: 1 day, 9:02:03 time: 0.2854 data_time: 0.0158 memory: 6332 grad_norm: 3.1229 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7954 loss: 2.7954 2022/08/15 04:53:59 - mmengine - INFO - Epoch(train) [146][2700/3757] lr: 3.9644e-02 eta: 1 day, 9:01:34 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 3.1209 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4968 loss: 2.4968 2022/08/15 04:54:28 - mmengine - INFO - Epoch(train) [146][2800/3757] lr: 3.9644e-02 eta: 1 day, 9:01:05 time: 0.2856 data_time: 0.0147 memory: 6332 grad_norm: 3.1358 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6766 loss: 2.6766 2022/08/15 04:54:57 - mmengine - INFO - Epoch(train) [146][2900/3757] lr: 3.9644e-02 eta: 1 day, 9:00:35 time: 0.2847 data_time: 0.0157 memory: 6332 grad_norm: 3.2142 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4770 loss: 2.4770 2022/08/15 04:55:26 - mmengine - INFO - Epoch(train) [146][3000/3757] lr: 3.9644e-02 eta: 1 day, 9:00:05 time: 0.2846 data_time: 0.0150 memory: 6332 grad_norm: 3.1668 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6066 loss: 2.6066 2022/08/15 04:55:55 - mmengine - INFO - Epoch(train) [146][3100/3757] lr: 3.9644e-02 eta: 1 day, 8:59:37 time: 0.2890 data_time: 0.0176 memory: 6332 grad_norm: 3.2193 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8417 loss: 2.8417 2022/08/15 04:56:23 - mmengine - INFO - Epoch(train) [146][3200/3757] lr: 3.9644e-02 eta: 1 day, 8:59:07 time: 0.2818 data_time: 0.0146 memory: 6332 grad_norm: 3.0883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7449 loss: 2.7449 2022/08/15 04:56:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:56:52 - mmengine - INFO - Epoch(train) [146][3300/3757] lr: 3.9644e-02 eta: 1 day, 8:58:39 time: 0.2840 data_time: 0.0161 memory: 6332 grad_norm: 3.1801 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4823 loss: 2.4823 2022/08/15 04:57:21 - mmengine - INFO - Epoch(train) [146][3400/3757] lr: 3.9644e-02 eta: 1 day, 8:58:10 time: 0.2866 data_time: 0.0180 memory: 6332 grad_norm: 3.1596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4128 loss: 2.4128 2022/08/15 04:57:50 - mmengine - INFO - Epoch(train) [146][3500/3757] lr: 3.9644e-02 eta: 1 day, 8:57:40 time: 0.2866 data_time: 0.0175 memory: 6332 grad_norm: 3.0789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6331 loss: 2.6331 2022/08/15 04:58:19 - mmengine - INFO - Epoch(train) [146][3600/3757] lr: 3.9644e-02 eta: 1 day, 8:57:11 time: 0.2855 data_time: 0.0162 memory: 6332 grad_norm: 3.1090 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6120 loss: 2.6120 2022/08/15 04:58:48 - mmengine - INFO - Epoch(train) [146][3700/3757] lr: 3.9644e-02 eta: 1 day, 8:56:42 time: 0.2877 data_time: 0.0146 memory: 6332 grad_norm: 3.1063 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7113 loss: 2.7113 2022/08/15 04:59:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 04:59:04 - mmengine - INFO - Epoch(train) [146][3757/3757] lr: 3.9644e-02 eta: 1 day, 8:56:30 time: 0.2646 data_time: 0.0145 memory: 6332 grad_norm: 3.2595 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.8391 loss: 2.8391 2022/08/15 04:59:35 - mmengine - INFO - Epoch(train) [147][100/3757] lr: 3.9045e-02 eta: 1 day, 8:55:35 time: 0.2846 data_time: 0.0168 memory: 6332 grad_norm: 3.1110 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6165 loss: 2.6165 2022/08/15 05:00:03 - mmengine - INFO - Epoch(train) [147][200/3757] lr: 3.9045e-02 eta: 1 day, 8:55:05 time: 0.2853 data_time: 0.0153 memory: 6332 grad_norm: 3.1014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4527 loss: 2.4527 2022/08/15 05:00:32 - mmengine - INFO - Epoch(train) [147][300/3757] lr: 3.9045e-02 eta: 1 day, 8:54:35 time: 0.2862 data_time: 0.0158 memory: 6332 grad_norm: 3.2309 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6829 loss: 2.6829 2022/08/15 05:01:01 - mmengine - INFO - Epoch(train) [147][400/3757] lr: 3.9045e-02 eta: 1 day, 8:54:05 time: 0.2844 data_time: 0.0148 memory: 6332 grad_norm: 3.1843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5628 loss: 2.5628 2022/08/15 05:01:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:01:30 - mmengine - INFO - Epoch(train) [147][500/3757] lr: 3.9045e-02 eta: 1 day, 8:53:35 time: 0.2871 data_time: 0.0163 memory: 6332 grad_norm: 3.1689 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3805 loss: 2.3805 2022/08/15 05:01:58 - mmengine - INFO - Epoch(train) [147][600/3757] lr: 3.9045e-02 eta: 1 day, 8:53:06 time: 0.2879 data_time: 0.0155 memory: 6332 grad_norm: 3.0498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6047 loss: 2.6047 2022/08/15 05:02:27 - mmengine - INFO - Epoch(train) [147][700/3757] lr: 3.9045e-02 eta: 1 day, 8:52:38 time: 0.2881 data_time: 0.0172 memory: 6332 grad_norm: 3.0789 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8717 loss: 2.8717 2022/08/15 05:02:56 - mmengine - INFO - Epoch(train) [147][800/3757] lr: 3.9045e-02 eta: 1 day, 8:52:09 time: 0.2862 data_time: 0.0169 memory: 6332 grad_norm: 3.1540 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6540 loss: 2.6540 2022/08/15 05:03:25 - mmengine - INFO - Epoch(train) [147][900/3757] lr: 3.9045e-02 eta: 1 day, 8:51:40 time: 0.2888 data_time: 0.0177 memory: 6332 grad_norm: 3.1627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1042 loss: 3.1042 2022/08/15 05:03:54 - mmengine - INFO - Epoch(train) [147][1000/3757] lr: 3.9045e-02 eta: 1 day, 8:51:11 time: 0.2856 data_time: 0.0153 memory: 6332 grad_norm: 3.1329 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0042 loss: 3.0042 2022/08/15 05:04:23 - mmengine - INFO - Epoch(train) [147][1100/3757] lr: 3.9045e-02 eta: 1 day, 8:50:41 time: 0.2842 data_time: 0.0154 memory: 6332 grad_norm: 3.1075 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8612 loss: 2.8612 2022/08/15 05:04:52 - mmengine - INFO - Epoch(train) [147][1200/3757] lr: 3.9045e-02 eta: 1 day, 8:50:12 time: 0.2844 data_time: 0.0140 memory: 6332 grad_norm: 3.2033 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1453 loss: 3.1453 2022/08/15 05:05:21 - mmengine - INFO - Epoch(train) [147][1300/3757] lr: 3.9045e-02 eta: 1 day, 8:49:44 time: 0.2859 data_time: 0.0159 memory: 6332 grad_norm: 3.1810 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7938 loss: 2.7938 2022/08/15 05:05:49 - mmengine - INFO - Epoch(train) [147][1400/3757] lr: 3.9045e-02 eta: 1 day, 8:49:15 time: 0.2863 data_time: 0.0149 memory: 6332 grad_norm: 3.1197 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6800 loss: 2.6800 2022/08/15 05:06:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:06:18 - mmengine - INFO - Epoch(train) [147][1500/3757] lr: 3.9045e-02 eta: 1 day, 8:48:45 time: 0.2850 data_time: 0.0144 memory: 6332 grad_norm: 3.2530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0061 loss: 3.0061 2022/08/15 05:06:47 - mmengine - INFO - Epoch(train) [147][1600/3757] lr: 3.9045e-02 eta: 1 day, 8:48:16 time: 0.2900 data_time: 0.0165 memory: 6332 grad_norm: 3.2095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9972 loss: 2.9972 2022/08/15 05:07:16 - mmengine - INFO - Epoch(train) [147][1700/3757] lr: 3.9045e-02 eta: 1 day, 8:47:46 time: 0.2833 data_time: 0.0157 memory: 6332 grad_norm: 3.1208 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6186 loss: 2.6186 2022/08/15 05:07:45 - mmengine - INFO - Epoch(train) [147][1800/3757] lr: 3.9045e-02 eta: 1 day, 8:47:17 time: 0.2850 data_time: 0.0155 memory: 6332 grad_norm: 3.2068 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8662 loss: 2.8662 2022/08/15 05:08:13 - mmengine - INFO - Epoch(train) [147][1900/3757] lr: 3.9045e-02 eta: 1 day, 8:46:48 time: 0.2841 data_time: 0.0152 memory: 6332 grad_norm: 3.2428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7466 loss: 2.7466 2022/08/15 05:08:42 - mmengine - INFO - Epoch(train) [147][2000/3757] lr: 3.9045e-02 eta: 1 day, 8:46:19 time: 0.2837 data_time: 0.0168 memory: 6332 grad_norm: 3.1053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5449 loss: 2.5449 2022/08/15 05:09:11 - mmengine - INFO - Epoch(train) [147][2100/3757] lr: 3.9045e-02 eta: 1 day, 8:45:50 time: 0.2834 data_time: 0.0147 memory: 6332 grad_norm: 3.1603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6843 loss: 2.6843 2022/08/15 05:09:40 - mmengine - INFO - Epoch(train) [147][2200/3757] lr: 3.9045e-02 eta: 1 day, 8:45:21 time: 0.2858 data_time: 0.0146 memory: 6332 grad_norm: 3.0129 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5665 loss: 2.5665 2022/08/15 05:10:09 - mmengine - INFO - Epoch(train) [147][2300/3757] lr: 3.9045e-02 eta: 1 day, 8:44:51 time: 0.2845 data_time: 0.0157 memory: 6332 grad_norm: 3.1713 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5492 loss: 2.5492 2022/08/15 05:10:38 - mmengine - INFO - Epoch(train) [147][2400/3757] lr: 3.9045e-02 eta: 1 day, 8:44:22 time: 0.2861 data_time: 0.0155 memory: 6332 grad_norm: 3.2210 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6218 loss: 2.6218 2022/08/15 05:11:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:11:06 - mmengine - INFO - Epoch(train) [147][2500/3757] lr: 3.9045e-02 eta: 1 day, 8:43:54 time: 0.2866 data_time: 0.0148 memory: 6332 grad_norm: 3.1702 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8370 loss: 2.8370 2022/08/15 05:11:35 - mmengine - INFO - Epoch(train) [147][2600/3757] lr: 3.9045e-02 eta: 1 day, 8:43:26 time: 0.2851 data_time: 0.0160 memory: 6332 grad_norm: 3.1552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8768 loss: 2.8768 2022/08/15 05:12:04 - mmengine - INFO - Epoch(train) [147][2700/3757] lr: 3.9045e-02 eta: 1 day, 8:42:56 time: 0.2842 data_time: 0.0143 memory: 6332 grad_norm: 3.1891 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6089 loss: 2.6089 2022/08/15 05:12:33 - mmengine - INFO - Epoch(train) [147][2800/3757] lr: 3.9045e-02 eta: 1 day, 8:42:27 time: 0.2846 data_time: 0.0150 memory: 6332 grad_norm: 3.0637 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8722 loss: 2.8722 2022/08/15 05:13:02 - mmengine - INFO - Epoch(train) [147][2900/3757] lr: 3.9045e-02 eta: 1 day, 8:41:58 time: 0.2848 data_time: 0.0161 memory: 6332 grad_norm: 3.1012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2975 loss: 2.2975 2022/08/15 05:13:31 - mmengine - INFO - Epoch(train) [147][3000/3757] lr: 3.9045e-02 eta: 1 day, 8:41:28 time: 0.2842 data_time: 0.0143 memory: 6332 grad_norm: 3.1432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5470 loss: 2.5470 2022/08/15 05:13:59 - mmengine - INFO - Epoch(train) [147][3100/3757] lr: 3.9045e-02 eta: 1 day, 8:40:59 time: 0.2863 data_time: 0.0167 memory: 6332 grad_norm: 3.0729 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5868 loss: 2.5868 2022/08/15 05:14:28 - mmengine - INFO - Epoch(train) [147][3200/3757] lr: 3.9045e-02 eta: 1 day, 8:40:29 time: 0.2860 data_time: 0.0142 memory: 6332 grad_norm: 3.2826 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7482 loss: 2.7482 2022/08/15 05:14:57 - mmengine - INFO - Epoch(train) [147][3300/3757] lr: 3.9045e-02 eta: 1 day, 8:39:59 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 3.1189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5520 loss: 2.5520 2022/08/15 05:15:26 - mmengine - INFO - Epoch(train) [147][3400/3757] lr: 3.9045e-02 eta: 1 day, 8:39:31 time: 0.2866 data_time: 0.0142 memory: 6332 grad_norm: 3.2017 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8290 loss: 2.8290 2022/08/15 05:15:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:15:55 - mmengine - INFO - Epoch(train) [147][3500/3757] lr: 3.9045e-02 eta: 1 day, 8:39:03 time: 0.2850 data_time: 0.0162 memory: 6332 grad_norm: 3.1219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/08/15 05:16:24 - mmengine - INFO - Epoch(train) [147][3600/3757] lr: 3.9045e-02 eta: 1 day, 8:38:33 time: 0.2840 data_time: 0.0142 memory: 6332 grad_norm: 3.2107 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6050 loss: 2.6050 2022/08/15 05:16:52 - mmengine - INFO - Epoch(train) [147][3700/3757] lr: 3.9045e-02 eta: 1 day, 8:38:04 time: 0.2828 data_time: 0.0142 memory: 6332 grad_norm: 3.0323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8359 loss: 2.8359 2022/08/15 05:17:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:17:08 - mmengine - INFO - Epoch(train) [147][3757/3757] lr: 3.9045e-02 eta: 1 day, 8:37:52 time: 0.2646 data_time: 0.0153 memory: 6332 grad_norm: 3.1144 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7926 loss: 2.7926 2022/08/15 05:17:39 - mmengine - INFO - Epoch(train) [148][100/3757] lr: 3.8447e-02 eta: 1 day, 8:36:57 time: 0.2860 data_time: 0.0175 memory: 6332 grad_norm: 3.1743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5212 loss: 2.5212 2022/08/15 05:18:08 - mmengine - INFO - Epoch(train) [148][200/3757] lr: 3.8447e-02 eta: 1 day, 8:36:28 time: 0.2850 data_time: 0.0146 memory: 6332 grad_norm: 3.1389 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0374 loss: 3.0374 2022/08/15 05:18:37 - mmengine - INFO - Epoch(train) [148][300/3757] lr: 3.8447e-02 eta: 1 day, 8:35:58 time: 0.2869 data_time: 0.0155 memory: 6332 grad_norm: 3.1623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7614 loss: 2.7614 2022/08/15 05:19:06 - mmengine - INFO - Epoch(train) [148][400/3757] lr: 3.8447e-02 eta: 1 day, 8:35:29 time: 0.2845 data_time: 0.0157 memory: 6332 grad_norm: 3.1628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6874 loss: 2.6874 2022/08/15 05:19:34 - mmengine - INFO - Epoch(train) [148][500/3757] lr: 3.8447e-02 eta: 1 day, 8:34:59 time: 0.2844 data_time: 0.0155 memory: 6332 grad_norm: 3.1752 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8583 loss: 2.8583 2022/08/15 05:20:03 - mmengine - INFO - Epoch(train) [148][600/3757] lr: 3.8447e-02 eta: 1 day, 8:34:30 time: 0.2864 data_time: 0.0151 memory: 6332 grad_norm: 3.1317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8613 loss: 2.8613 2022/08/15 05:20:32 - mmengine - INFO - Epoch(train) [148][700/3757] lr: 3.8447e-02 eta: 1 day, 8:34:03 time: 0.2852 data_time: 0.0153 memory: 6332 grad_norm: 3.1969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6022 loss: 2.6022 2022/08/15 05:20:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:21:01 - mmengine - INFO - Epoch(train) [148][800/3757] lr: 3.8447e-02 eta: 1 day, 8:33:35 time: 0.2953 data_time: 0.0165 memory: 6332 grad_norm: 3.0955 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7373 loss: 2.7373 2022/08/15 05:21:30 - mmengine - INFO - Epoch(train) [148][900/3757] lr: 3.8447e-02 eta: 1 day, 8:33:06 time: 0.2863 data_time: 0.0156 memory: 6332 grad_norm: 3.2015 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5151 loss: 2.5151 2022/08/15 05:21:59 - mmengine - INFO - Epoch(train) [148][1000/3757] lr: 3.8447e-02 eta: 1 day, 8:32:37 time: 0.2865 data_time: 0.0163 memory: 6332 grad_norm: 3.2102 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3242 loss: 2.3242 2022/08/15 05:22:28 - mmengine - INFO - Epoch(train) [148][1100/3757] lr: 3.8447e-02 eta: 1 day, 8:32:08 time: 0.2852 data_time: 0.0152 memory: 6332 grad_norm: 3.1699 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6775 loss: 2.6775 2022/08/15 05:22:57 - mmengine - INFO - Epoch(train) [148][1200/3757] lr: 3.8447e-02 eta: 1 day, 8:31:39 time: 0.2930 data_time: 0.0148 memory: 6332 grad_norm: 3.1148 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3588 loss: 2.3588 2022/08/15 05:23:26 - mmengine - INFO - Epoch(train) [148][1300/3757] lr: 3.8447e-02 eta: 1 day, 8:31:11 time: 0.2845 data_time: 0.0156 memory: 6332 grad_norm: 3.1813 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7218 loss: 2.7218 2022/08/15 05:23:55 - mmengine - INFO - Epoch(train) [148][1400/3757] lr: 3.8447e-02 eta: 1 day, 8:30:44 time: 0.2848 data_time: 0.0156 memory: 6332 grad_norm: 3.1612 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5815 loss: 2.5815 2022/08/15 05:24:24 - mmengine - INFO - Epoch(train) [148][1500/3757] lr: 3.8447e-02 eta: 1 day, 8:30:16 time: 0.2845 data_time: 0.0143 memory: 6332 grad_norm: 3.0974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6548 loss: 2.6548 2022/08/15 05:24:52 - mmengine - INFO - Epoch(train) [148][1600/3757] lr: 3.8447e-02 eta: 1 day, 8:29:46 time: 0.2831 data_time: 0.0183 memory: 6332 grad_norm: 3.0976 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3824 loss: 2.3824 2022/08/15 05:25:21 - mmengine - INFO - Epoch(train) [148][1700/3757] lr: 3.8447e-02 eta: 1 day, 8:29:17 time: 0.2866 data_time: 0.0183 memory: 6332 grad_norm: 3.1633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2848 loss: 2.2848 2022/08/15 05:25:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:25:50 - mmengine - INFO - Epoch(train) [148][1800/3757] lr: 3.8447e-02 eta: 1 day, 8:28:48 time: 0.2860 data_time: 0.0160 memory: 6332 grad_norm: 3.2045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4204 loss: 2.4204 2022/08/15 05:26:19 - mmengine - INFO - Epoch(train) [148][1900/3757] lr: 3.8447e-02 eta: 1 day, 8:28:18 time: 0.2849 data_time: 0.0170 memory: 6332 grad_norm: 3.1975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5329 loss: 2.5329 2022/08/15 05:26:48 - mmengine - INFO - Epoch(train) [148][2000/3757] lr: 3.8447e-02 eta: 1 day, 8:27:50 time: 0.2863 data_time: 0.0155 memory: 6332 grad_norm: 3.1924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7041 loss: 2.7041 2022/08/15 05:27:17 - mmengine - INFO - Epoch(train) [148][2100/3757] lr: 3.8447e-02 eta: 1 day, 8:27:21 time: 0.2835 data_time: 0.0159 memory: 6332 grad_norm: 3.2235 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6042 loss: 2.6042 2022/08/15 05:27:45 - mmengine - INFO - Epoch(train) [148][2200/3757] lr: 3.8447e-02 eta: 1 day, 8:26:52 time: 0.2852 data_time: 0.0153 memory: 6332 grad_norm: 3.2082 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6867 loss: 2.6867 2022/08/15 05:28:14 - mmengine - INFO - Epoch(train) [148][2300/3757] lr: 3.8447e-02 eta: 1 day, 8:26:23 time: 0.2843 data_time: 0.0173 memory: 6332 grad_norm: 3.1843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/08/15 05:28:43 - mmengine - INFO - Epoch(train) [148][2400/3757] lr: 3.8447e-02 eta: 1 day, 8:25:55 time: 0.2867 data_time: 0.0156 memory: 6332 grad_norm: 3.1697 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6952 loss: 2.6952 2022/08/15 05:29:12 - mmengine - INFO - Epoch(train) [148][2500/3757] lr: 3.8447e-02 eta: 1 day, 8:25:27 time: 0.2921 data_time: 0.0152 memory: 6332 grad_norm: 3.1163 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6539 loss: 2.6539 2022/08/15 05:29:41 - mmengine - INFO - Epoch(train) [148][2600/3757] lr: 3.8447e-02 eta: 1 day, 8:24:58 time: 0.2853 data_time: 0.0155 memory: 6332 grad_norm: 3.1943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8932 loss: 2.8932 2022/08/15 05:30:10 - mmengine - INFO - Epoch(train) [148][2700/3757] lr: 3.8447e-02 eta: 1 day, 8:24:29 time: 0.2883 data_time: 0.0158 memory: 6332 grad_norm: 3.1810 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9815 loss: 2.9815 2022/08/15 05:30:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:30:39 - mmengine - INFO - Epoch(train) [148][2800/3757] lr: 3.8447e-02 eta: 1 day, 8:24:00 time: 0.2849 data_time: 0.0157 memory: 6332 grad_norm: 3.1169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4530 loss: 2.4530 2022/08/15 05:31:08 - mmengine - INFO - Epoch(train) [148][2900/3757] lr: 3.8447e-02 eta: 1 day, 8:23:31 time: 0.2859 data_time: 0.0159 memory: 6332 grad_norm: 3.1938 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8003 loss: 2.8003 2022/08/15 05:31:36 - mmengine - INFO - Epoch(train) [148][3000/3757] lr: 3.8447e-02 eta: 1 day, 8:23:01 time: 0.2856 data_time: 0.0154 memory: 6332 grad_norm: 3.2424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8730 loss: 2.8730 2022/08/15 05:32:05 - mmengine - INFO - Epoch(train) [148][3100/3757] lr: 3.8447e-02 eta: 1 day, 8:22:33 time: 0.2852 data_time: 0.0140 memory: 6332 grad_norm: 3.1741 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5233 loss: 2.5233 2022/08/15 05:32:34 - mmengine - INFO - Epoch(train) [148][3200/3757] lr: 3.8447e-02 eta: 1 day, 8:22:04 time: 0.2858 data_time: 0.0165 memory: 6332 grad_norm: 3.2140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4908 loss: 2.4908 2022/08/15 05:33:03 - mmengine - INFO - Epoch(train) [148][3300/3757] lr: 3.8447e-02 eta: 1 day, 8:21:35 time: 0.2865 data_time: 0.0158 memory: 6332 grad_norm: 3.1935 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8992 loss: 2.8992 2022/08/15 05:33:32 - mmengine - INFO - Epoch(train) [148][3400/3757] lr: 3.8447e-02 eta: 1 day, 8:21:05 time: 0.2848 data_time: 0.0158 memory: 6332 grad_norm: 3.1227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6382 loss: 2.6382 2022/08/15 05:34:01 - mmengine - INFO - Epoch(train) [148][3500/3757] lr: 3.8447e-02 eta: 1 day, 8:20:38 time: 0.2908 data_time: 0.0165 memory: 6332 grad_norm: 3.1529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5681 loss: 2.5681 2022/08/15 05:34:30 - mmengine - INFO - Epoch(train) [148][3600/3757] lr: 3.8447e-02 eta: 1 day, 8:20:09 time: 0.2861 data_time: 0.0160 memory: 6332 grad_norm: 3.2306 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6411 loss: 2.6411 2022/08/15 05:34:58 - mmengine - INFO - Epoch(train) [148][3700/3757] lr: 3.8447e-02 eta: 1 day, 8:19:40 time: 0.2892 data_time: 0.0183 memory: 6332 grad_norm: 3.1040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2904 loss: 2.2904 2022/08/15 05:35:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:35:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:35:14 - mmengine - INFO - Epoch(train) [148][3757/3757] lr: 3.8447e-02 eta: 1 day, 8:19:28 time: 0.2665 data_time: 0.0136 memory: 6332 grad_norm: 3.1415 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6788 loss: 2.6788 2022/08/15 05:35:15 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/15 05:35:51 - mmengine - INFO - Epoch(train) [149][100/3757] lr: 3.7851e-02 eta: 1 day, 8:18:28 time: 0.2862 data_time: 0.0172 memory: 6332 grad_norm: 3.1115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4129 loss: 2.4129 2022/08/15 05:36:19 - mmengine - INFO - Epoch(train) [149][200/3757] lr: 3.7851e-02 eta: 1 day, 8:17:59 time: 0.2842 data_time: 0.0154 memory: 6332 grad_norm: 3.1990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5344 loss: 2.5344 2022/08/15 05:36:48 - mmengine - INFO - Epoch(train) [149][300/3757] lr: 3.7851e-02 eta: 1 day, 8:17:29 time: 0.2843 data_time: 0.0177 memory: 6332 grad_norm: 3.2011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4575 loss: 2.4575 2022/08/15 05:37:17 - mmengine - INFO - Epoch(train) [149][400/3757] lr: 3.7851e-02 eta: 1 day, 8:17:00 time: 0.2843 data_time: 0.0151 memory: 6332 grad_norm: 3.0619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4602 loss: 2.4602 2022/08/15 05:37:46 - mmengine - INFO - Epoch(train) [149][500/3757] lr: 3.7851e-02 eta: 1 day, 8:16:30 time: 0.2834 data_time: 0.0152 memory: 6332 grad_norm: 3.1498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5089 loss: 2.5089 2022/08/15 05:38:15 - mmengine - INFO - Epoch(train) [149][600/3757] lr: 3.7851e-02 eta: 1 day, 8:16:03 time: 0.2849 data_time: 0.0148 memory: 6332 grad_norm: 3.2253 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7067 loss: 2.7067 2022/08/15 05:38:44 - mmengine - INFO - Epoch(train) [149][700/3757] lr: 3.7851e-02 eta: 1 day, 8:15:35 time: 0.2857 data_time: 0.0150 memory: 6332 grad_norm: 3.2060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7016 loss: 2.7016 2022/08/15 05:39:13 - mmengine - INFO - Epoch(train) [149][800/3757] lr: 3.7851e-02 eta: 1 day, 8:15:06 time: 0.2888 data_time: 0.0176 memory: 6332 grad_norm: 3.1373 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4698 loss: 2.4698 2022/08/15 05:39:41 - mmengine - INFO - Epoch(train) [149][900/3757] lr: 3.7851e-02 eta: 1 day, 8:14:36 time: 0.2814 data_time: 0.0157 memory: 6332 grad_norm: 3.1623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6484 loss: 2.6484 2022/08/15 05:40:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:40:10 - mmengine - INFO - Epoch(train) [149][1000/3757] lr: 3.7851e-02 eta: 1 day, 8:14:07 time: 0.2837 data_time: 0.0150 memory: 6332 grad_norm: 3.1744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7355 loss: 2.7355 2022/08/15 05:40:39 - mmengine - INFO - Epoch(train) [149][1100/3757] lr: 3.7851e-02 eta: 1 day, 8:13:38 time: 0.2874 data_time: 0.0170 memory: 6332 grad_norm: 3.2051 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9651 loss: 2.9651 2022/08/15 05:41:08 - mmengine - INFO - Epoch(train) [149][1200/3757] lr: 3.7851e-02 eta: 1 day, 8:13:08 time: 0.2838 data_time: 0.0158 memory: 6332 grad_norm: 3.1319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6769 loss: 2.6769 2022/08/15 05:41:36 - mmengine - INFO - Epoch(train) [149][1300/3757] lr: 3.7851e-02 eta: 1 day, 8:12:39 time: 0.2845 data_time: 0.0149 memory: 6332 grad_norm: 3.1861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6550 loss: 2.6550 2022/08/15 05:42:05 - mmengine - INFO - Epoch(train) [149][1400/3757] lr: 3.7851e-02 eta: 1 day, 8:12:10 time: 0.2868 data_time: 0.0165 memory: 6332 grad_norm: 3.1933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9301 loss: 2.9301 2022/08/15 05:42:34 - mmengine - INFO - Epoch(train) [149][1500/3757] lr: 3.7851e-02 eta: 1 day, 8:11:41 time: 0.2860 data_time: 0.0156 memory: 6332 grad_norm: 3.2092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3325 loss: 2.3325 2022/08/15 05:43:03 - mmengine - INFO - Epoch(train) [149][1600/3757] lr: 3.7851e-02 eta: 1 day, 8:11:11 time: 0.2854 data_time: 0.0160 memory: 6332 grad_norm: 3.1279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8875 loss: 2.8875 2022/08/15 05:43:31 - mmengine - INFO - Epoch(train) [149][1700/3757] lr: 3.7851e-02 eta: 1 day, 8:10:41 time: 0.2863 data_time: 0.0152 memory: 6332 grad_norm: 3.2685 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6754 loss: 2.6754 2022/08/15 05:44:00 - mmengine - INFO - Epoch(train) [149][1800/3757] lr: 3.7851e-02 eta: 1 day, 8:10:12 time: 0.2890 data_time: 0.0157 memory: 6332 grad_norm: 3.2736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6669 loss: 2.6669 2022/08/15 05:44:29 - mmengine - INFO - Epoch(train) [149][1900/3757] lr: 3.7851e-02 eta: 1 day, 8:09:43 time: 0.2869 data_time: 0.0151 memory: 6332 grad_norm: 3.1601 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5291 loss: 2.5291 2022/08/15 05:44:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:44:58 - mmengine - INFO - Epoch(train) [149][2000/3757] lr: 3.7851e-02 eta: 1 day, 8:09:13 time: 0.2858 data_time: 0.0170 memory: 6332 grad_norm: 3.1495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7734 loss: 2.7734 2022/08/15 05:45:27 - mmengine - INFO - Epoch(train) [149][2100/3757] lr: 3.7851e-02 eta: 1 day, 8:08:44 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 3.1615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9849 loss: 2.9849 2022/08/15 05:45:55 - mmengine - INFO - Epoch(train) [149][2200/3757] lr: 3.7851e-02 eta: 1 day, 8:08:15 time: 0.2864 data_time: 0.0172 memory: 6332 grad_norm: 3.1480 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8011 loss: 2.8011 2022/08/15 05:46:24 - mmengine - INFO - Epoch(train) [149][2300/3757] lr: 3.7851e-02 eta: 1 day, 8:07:46 time: 0.2849 data_time: 0.0174 memory: 6332 grad_norm: 3.1716 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8787 loss: 2.8787 2022/08/15 05:46:53 - mmengine - INFO - Epoch(train) [149][2400/3757] lr: 3.7851e-02 eta: 1 day, 8:07:17 time: 0.2911 data_time: 0.0148 memory: 6332 grad_norm: 3.1284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4057 loss: 2.4057 2022/08/15 05:47:22 - mmengine - INFO - Epoch(train) [149][2500/3757] lr: 3.7851e-02 eta: 1 day, 8:06:49 time: 0.2873 data_time: 0.0168 memory: 6332 grad_norm: 3.1756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6212 loss: 2.6212 2022/08/15 05:47:51 - mmengine - INFO - Epoch(train) [149][2600/3757] lr: 3.7851e-02 eta: 1 day, 8:06:20 time: 0.2858 data_time: 0.0157 memory: 6332 grad_norm: 3.2058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5742 loss: 2.5742 2022/08/15 05:48:20 - mmengine - INFO - Epoch(train) [149][2700/3757] lr: 3.7851e-02 eta: 1 day, 8:05:51 time: 0.2871 data_time: 0.0156 memory: 6332 grad_norm: 3.1395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5670 loss: 2.5670 2022/08/15 05:48:48 - mmengine - INFO - Epoch(train) [149][2800/3757] lr: 3.7851e-02 eta: 1 day, 8:05:22 time: 0.2849 data_time: 0.0151 memory: 6332 grad_norm: 3.1999 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7570 loss: 2.7570 2022/08/15 05:49:18 - mmengine - INFO - Epoch(train) [149][2900/3757] lr: 3.7851e-02 eta: 1 day, 8:04:55 time: 0.2856 data_time: 0.0155 memory: 6332 grad_norm: 3.1626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7532 loss: 2.7532 2022/08/15 05:49:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:49:46 - mmengine - INFO - Epoch(train) [149][3000/3757] lr: 3.7851e-02 eta: 1 day, 8:04:25 time: 0.2851 data_time: 0.0153 memory: 6332 grad_norm: 3.1752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7471 loss: 2.7471 2022/08/15 05:50:15 - mmengine - INFO - Epoch(train) [149][3100/3757] lr: 3.7851e-02 eta: 1 day, 8:03:57 time: 0.2904 data_time: 0.0183 memory: 6332 grad_norm: 3.2588 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8417 loss: 2.8417 2022/08/15 05:50:44 - mmengine - INFO - Epoch(train) [149][3200/3757] lr: 3.7851e-02 eta: 1 day, 8:03:28 time: 0.2876 data_time: 0.0157 memory: 6332 grad_norm: 3.1392 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6745 loss: 2.6745 2022/08/15 05:51:13 - mmengine - INFO - Epoch(train) [149][3300/3757] lr: 3.7851e-02 eta: 1 day, 8:02:58 time: 0.2839 data_time: 0.0152 memory: 6332 grad_norm: 3.2314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5383 loss: 2.5383 2022/08/15 05:51:42 - mmengine - INFO - Epoch(train) [149][3400/3757] lr: 3.7851e-02 eta: 1 day, 8:02:30 time: 0.2858 data_time: 0.0177 memory: 6332 grad_norm: 3.1472 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5819 loss: 2.5819 2022/08/15 05:52:11 - mmengine - INFO - Epoch(train) [149][3500/3757] lr: 3.7851e-02 eta: 1 day, 8:02:01 time: 0.2870 data_time: 0.0184 memory: 6332 grad_norm: 3.2869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7401 loss: 2.7401 2022/08/15 05:52:39 - mmengine - INFO - Epoch(train) [149][3600/3757] lr: 3.7851e-02 eta: 1 day, 8:01:31 time: 0.2847 data_time: 0.0154 memory: 6332 grad_norm: 3.1783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6132 loss: 2.6132 2022/08/15 05:53:08 - mmengine - INFO - Epoch(train) [149][3700/3757] lr: 3.7851e-02 eta: 1 day, 8:01:01 time: 0.2835 data_time: 0.0145 memory: 6332 grad_norm: 3.1588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7017 loss: 2.7017 2022/08/15 05:53:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:53:24 - mmengine - INFO - Epoch(train) [149][3757/3757] lr: 3.7851e-02 eta: 1 day, 8:00:50 time: 0.2642 data_time: 0.0129 memory: 6332 grad_norm: 3.1063 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.7128 loss: 2.7128 2022/08/15 05:53:55 - mmengine - INFO - Epoch(train) [150][100/3757] lr: 3.7257e-02 eta: 1 day, 7:59:58 time: 0.2856 data_time: 0.0145 memory: 6332 grad_norm: 3.2504 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7637 loss: 2.7637 2022/08/15 05:54:24 - mmengine - INFO - Epoch(train) [150][200/3757] lr: 3.7257e-02 eta: 1 day, 7:59:29 time: 0.2849 data_time: 0.0161 memory: 6332 grad_norm: 3.0326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4244 loss: 2.4244 2022/08/15 05:54:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:54:53 - mmengine - INFO - Epoch(train) [150][300/3757] lr: 3.7257e-02 eta: 1 day, 7:59:01 time: 0.2898 data_time: 0.0157 memory: 6332 grad_norm: 3.2213 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5596 loss: 2.5596 2022/08/15 05:55:22 - mmengine - INFO - Epoch(train) [150][400/3757] lr: 3.7257e-02 eta: 1 day, 7:58:32 time: 0.2865 data_time: 0.0153 memory: 6332 grad_norm: 3.0625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2665 loss: 2.2665 2022/08/15 05:55:50 - mmengine - INFO - Epoch(train) [150][500/3757] lr: 3.7257e-02 eta: 1 day, 7:58:03 time: 0.2854 data_time: 0.0150 memory: 6332 grad_norm: 3.2913 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8535 loss: 2.8535 2022/08/15 05:56:19 - mmengine - INFO - Epoch(train) [150][600/3757] lr: 3.7257e-02 eta: 1 day, 7:57:34 time: 0.2846 data_time: 0.0155 memory: 6332 grad_norm: 3.1996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4949 loss: 2.4949 2022/08/15 05:56:48 - mmengine - INFO - Epoch(train) [150][700/3757] lr: 3.7257e-02 eta: 1 day, 7:57:05 time: 0.2843 data_time: 0.0149 memory: 6332 grad_norm: 3.2855 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7184 loss: 2.7184 2022/08/15 05:57:17 - mmengine - INFO - Epoch(train) [150][800/3757] lr: 3.7257e-02 eta: 1 day, 7:56:37 time: 0.2832 data_time: 0.0147 memory: 6332 grad_norm: 3.1303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4394 loss: 2.4394 2022/08/15 05:57:46 - mmengine - INFO - Epoch(train) [150][900/3757] lr: 3.7257e-02 eta: 1 day, 7:56:09 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 3.2083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8240 loss: 2.8240 2022/08/15 05:58:15 - mmengine - INFO - Epoch(train) [150][1000/3757] lr: 3.7257e-02 eta: 1 day, 7:55:40 time: 0.2879 data_time: 0.0154 memory: 6332 grad_norm: 3.2136 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0920 loss: 3.0920 2022/08/15 05:58:44 - mmengine - INFO - Epoch(train) [150][1100/3757] lr: 3.7257e-02 eta: 1 day, 7:55:11 time: 0.2841 data_time: 0.0156 memory: 6332 grad_norm: 3.1999 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6149 loss: 2.6149 2022/08/15 05:59:12 - mmengine - INFO - Epoch(train) [150][1200/3757] lr: 3.7257e-02 eta: 1 day, 7:54:42 time: 0.2856 data_time: 0.0166 memory: 6332 grad_norm: 3.0919 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6796 loss: 2.6796 2022/08/15 05:59:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 05:59:41 - mmengine - INFO - Epoch(train) [150][1300/3757] lr: 3.7257e-02 eta: 1 day, 7:54:14 time: 0.2866 data_time: 0.0155 memory: 6332 grad_norm: 3.2846 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7946 loss: 2.7946 2022/08/15 06:00:14 - mmengine - INFO - Epoch(train) [150][1400/3757] lr: 3.7257e-02 eta: 1 day, 7:54:07 time: 0.2847 data_time: 0.0157 memory: 6332 grad_norm: 3.1957 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6293 loss: 2.6293 2022/08/15 06:00:43 - mmengine - INFO - Epoch(train) [150][1500/3757] lr: 3.7257e-02 eta: 1 day, 7:53:38 time: 0.2890 data_time: 0.0188 memory: 6332 grad_norm: 3.2443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5803 loss: 2.5803 2022/08/15 06:01:11 - mmengine - INFO - Epoch(train) [150][1600/3757] lr: 3.7257e-02 eta: 1 day, 7:53:08 time: 0.2853 data_time: 0.0141 memory: 6332 grad_norm: 3.2494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6608 loss: 2.6608 2022/08/15 06:01:40 - mmengine - INFO - Epoch(train) [150][1700/3757] lr: 3.7257e-02 eta: 1 day, 7:52:39 time: 0.2847 data_time: 0.0151 memory: 6332 grad_norm: 3.2177 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5047 loss: 2.5047 2022/08/15 06:02:09 - mmengine - INFO - Epoch(train) [150][1800/3757] lr: 3.7257e-02 eta: 1 day, 7:52:10 time: 0.2854 data_time: 0.0154 memory: 6332 grad_norm: 3.1188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6517 loss: 2.6517 2022/08/15 06:02:38 - mmengine - INFO - Epoch(train) [150][1900/3757] lr: 3.7257e-02 eta: 1 day, 7:51:41 time: 0.2848 data_time: 0.0148 memory: 6332 grad_norm: 3.0773 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3292 loss: 2.3292 2022/08/15 06:03:07 - mmengine - INFO - Epoch(train) [150][2000/3757] lr: 3.7257e-02 eta: 1 day, 7:51:12 time: 0.2860 data_time: 0.0157 memory: 6332 grad_norm: 3.2490 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9966 loss: 2.9966 2022/08/15 06:03:36 - mmengine - INFO - Epoch(train) [150][2100/3757] lr: 3.7257e-02 eta: 1 day, 7:50:44 time: 0.2886 data_time: 0.0161 memory: 6332 grad_norm: 3.1042 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9537 loss: 2.9537 2022/08/15 06:04:04 - mmengine - INFO - Epoch(train) [150][2200/3757] lr: 3.7257e-02 eta: 1 day, 7:50:15 time: 0.2843 data_time: 0.0165 memory: 6332 grad_norm: 3.1448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3854 loss: 2.3854 2022/08/15 06:04:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:04:33 - mmengine - INFO - Epoch(train) [150][2300/3757] lr: 3.7257e-02 eta: 1 day, 7:49:46 time: 0.2860 data_time: 0.0173 memory: 6332 grad_norm: 3.2725 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9872 loss: 2.9872 2022/08/15 06:05:02 - mmengine - INFO - Epoch(train) [150][2400/3757] lr: 3.7257e-02 eta: 1 day, 7:49:17 time: 0.2863 data_time: 0.0156 memory: 6332 grad_norm: 3.1592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2743 loss: 2.2743 2022/08/15 06:05:31 - mmengine - INFO - Epoch(train) [150][2500/3757] lr: 3.7257e-02 eta: 1 day, 7:48:48 time: 0.2838 data_time: 0.0152 memory: 6332 grad_norm: 3.1594 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9684 loss: 2.9684 2022/08/15 06:06:00 - mmengine - INFO - Epoch(train) [150][2600/3757] lr: 3.7257e-02 eta: 1 day, 7:48:19 time: 0.2854 data_time: 0.0147 memory: 6332 grad_norm: 3.3049 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0093 loss: 3.0093 2022/08/15 06:06:28 - mmengine - INFO - Epoch(train) [150][2700/3757] lr: 3.7257e-02 eta: 1 day, 7:47:50 time: 0.2850 data_time: 0.0152 memory: 6332 grad_norm: 3.1880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5222 loss: 2.5222 2022/08/15 06:06:57 - mmengine - INFO - Epoch(train) [150][2800/3757] lr: 3.7257e-02 eta: 1 day, 7:47:21 time: 0.2859 data_time: 0.0159 memory: 6332 grad_norm: 3.2603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5611 loss: 2.5611 2022/08/15 06:07:26 - mmengine - INFO - Epoch(train) [150][2900/3757] lr: 3.7257e-02 eta: 1 day, 7:46:53 time: 0.2886 data_time: 0.0157 memory: 6332 grad_norm: 3.2090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9477 loss: 2.9477 2022/08/15 06:07:55 - mmengine - INFO - Epoch(train) [150][3000/3757] lr: 3.7257e-02 eta: 1 day, 7:46:24 time: 0.2862 data_time: 0.0149 memory: 6332 grad_norm: 3.1716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7707 loss: 2.7707 2022/08/15 06:08:24 - mmengine - INFO - Epoch(train) [150][3100/3757] lr: 3.7257e-02 eta: 1 day, 7:45:55 time: 0.2876 data_time: 0.0162 memory: 6332 grad_norm: 3.2112 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6827 loss: 2.6827 2022/08/15 06:08:53 - mmengine - INFO - Epoch(train) [150][3200/3757] lr: 3.7257e-02 eta: 1 day, 7:45:26 time: 0.2850 data_time: 0.0160 memory: 6332 grad_norm: 3.2876 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9054 loss: 2.9054 2022/08/15 06:08:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:09:22 - mmengine - INFO - Epoch(train) [150][3300/3757] lr: 3.7257e-02 eta: 1 day, 7:44:57 time: 0.2858 data_time: 0.0159 memory: 6332 grad_norm: 3.2347 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8084 loss: 2.8084 2022/08/15 06:09:50 - mmengine - INFO - Epoch(train) [150][3400/3757] lr: 3.7257e-02 eta: 1 day, 7:44:28 time: 0.2860 data_time: 0.0150 memory: 6332 grad_norm: 3.2420 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6112 loss: 2.6112 2022/08/15 06:10:19 - mmengine - INFO - Epoch(train) [150][3500/3757] lr: 3.7257e-02 eta: 1 day, 7:43:58 time: 0.2828 data_time: 0.0151 memory: 6332 grad_norm: 3.2732 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5997 loss: 2.5997 2022/08/15 06:10:48 - mmengine - INFO - Epoch(train) [150][3600/3757] lr: 3.7257e-02 eta: 1 day, 7:43:30 time: 0.2846 data_time: 0.0149 memory: 6332 grad_norm: 3.1993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7910 loss: 2.7910 2022/08/15 06:11:17 - mmengine - INFO - Epoch(train) [150][3700/3757] lr: 3.7257e-02 eta: 1 day, 7:43:01 time: 0.2852 data_time: 0.0141 memory: 6332 grad_norm: 3.1896 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7899 loss: 2.7899 2022/08/15 06:11:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:11:33 - mmengine - INFO - Epoch(train) [150][3757/3757] lr: 3.7257e-02 eta: 1 day, 7:42:50 time: 0.2645 data_time: 0.0140 memory: 6332 grad_norm: 3.1962 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.6591 loss: 2.6591 2022/08/15 06:11:56 - mmengine - INFO - Epoch(val) [150][100/310] eta: 0:00:48 time: 0.2303 data_time: 0.1364 memory: 1147 2022/08/15 06:12:18 - mmengine - INFO - Epoch(val) [150][200/310] eta: 0:00:20 time: 0.1856 data_time: 0.0869 memory: 1147 2022/08/15 06:12:39 - mmengine - INFO - Epoch(val) [150][300/310] eta: 0:00:02 time: 0.2183 data_time: 0.1230 memory: 1147 2022/08/15 06:12:44 - mmengine - INFO - Epoch(val) [150][310/310] acc/top1: 0.4867 acc/top5: 0.7513 acc/mean1: 0.4865 2022/08/15 06:12:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_146.pth is removed 2022/08/15 06:12:47 - mmengine - INFO - The best checkpoint with 0.4867 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth. 2022/08/15 06:13:17 - mmengine - INFO - Epoch(train) [151][100/3757] lr: 3.6664e-02 eta: 1 day, 7:41:53 time: 0.2866 data_time: 0.0178 memory: 6332 grad_norm: 3.2443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2772 loss: 2.2772 2022/08/15 06:13:46 - mmengine - INFO - Epoch(train) [151][200/3757] lr: 3.6664e-02 eta: 1 day, 7:41:25 time: 0.2921 data_time: 0.0167 memory: 6332 grad_norm: 3.2820 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7807 loss: 2.7807 2022/08/15 06:14:14 - mmengine - INFO - Epoch(train) [151][300/3757] lr: 3.6664e-02 eta: 1 day, 7:40:56 time: 0.2863 data_time: 0.0155 memory: 6332 grad_norm: 3.1239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3937 loss: 2.3937 2022/08/15 06:14:44 - mmengine - INFO - Epoch(train) [151][400/3757] lr: 3.6664e-02 eta: 1 day, 7:40:28 time: 0.2898 data_time: 0.0166 memory: 6332 grad_norm: 3.1951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7782 loss: 2.7782 2022/08/15 06:14:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:15:12 - mmengine - INFO - Epoch(train) [151][500/3757] lr: 3.6664e-02 eta: 1 day, 7:40:00 time: 0.2865 data_time: 0.0157 memory: 6332 grad_norm: 3.2204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4907 loss: 2.4907 2022/08/15 06:15:41 - mmengine - INFO - Epoch(train) [151][600/3757] lr: 3.6664e-02 eta: 1 day, 7:39:32 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.1752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9287 loss: 2.9287 2022/08/15 06:16:10 - mmengine - INFO - Epoch(train) [151][700/3757] lr: 3.6664e-02 eta: 1 day, 7:39:04 time: 0.2840 data_time: 0.0149 memory: 6332 grad_norm: 3.3039 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6810 loss: 2.6810 2022/08/15 06:16:39 - mmengine - INFO - Epoch(train) [151][800/3757] lr: 3.6664e-02 eta: 1 day, 7:38:35 time: 0.2826 data_time: 0.0151 memory: 6332 grad_norm: 3.2504 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8096 loss: 2.8096 2022/08/15 06:17:08 - mmengine - INFO - Epoch(train) [151][900/3757] lr: 3.6664e-02 eta: 1 day, 7:38:06 time: 0.2842 data_time: 0.0155 memory: 6332 grad_norm: 3.2583 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8874 loss: 2.8874 2022/08/15 06:17:37 - mmengine - INFO - Epoch(train) [151][1000/3757] lr: 3.6664e-02 eta: 1 day, 7:37:39 time: 0.2919 data_time: 0.0163 memory: 6332 grad_norm: 3.2839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5091 loss: 2.5091 2022/08/15 06:18:06 - mmengine - INFO - Epoch(train) [151][1100/3757] lr: 3.6664e-02 eta: 1 day, 7:37:10 time: 0.2869 data_time: 0.0158 memory: 6332 grad_norm: 3.2690 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3412 loss: 2.3412 2022/08/15 06:18:35 - mmengine - INFO - Epoch(train) [151][1200/3757] lr: 3.6664e-02 eta: 1 day, 7:36:42 time: 0.2876 data_time: 0.0171 memory: 6332 grad_norm: 3.2560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8469 loss: 2.8469 2022/08/15 06:19:04 - mmengine - INFO - Epoch(train) [151][1300/3757] lr: 3.6664e-02 eta: 1 day, 7:36:13 time: 0.2847 data_time: 0.0151 memory: 6332 grad_norm: 3.2590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6284 loss: 2.6284 2022/08/15 06:19:33 - mmengine - INFO - Epoch(train) [151][1400/3757] lr: 3.6664e-02 eta: 1 day, 7:35:44 time: 0.2853 data_time: 0.0153 memory: 6332 grad_norm: 3.2300 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5879 loss: 2.5879 2022/08/15 06:19:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:20:01 - mmengine - INFO - Epoch(train) [151][1500/3757] lr: 3.6664e-02 eta: 1 day, 7:35:15 time: 0.2846 data_time: 0.0163 memory: 6332 grad_norm: 3.2030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5527 loss: 2.5527 2022/08/15 06:20:30 - mmengine - INFO - Epoch(train) [151][1600/3757] lr: 3.6664e-02 eta: 1 day, 7:34:47 time: 0.2867 data_time: 0.0154 memory: 6332 grad_norm: 3.2627 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/08/15 06:20:59 - mmengine - INFO - Epoch(train) [151][1700/3757] lr: 3.6664e-02 eta: 1 day, 7:34:18 time: 0.2836 data_time: 0.0151 memory: 6332 grad_norm: 3.1679 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6487 loss: 2.6487 2022/08/15 06:21:28 - mmengine - INFO - Epoch(train) [151][1800/3757] lr: 3.6664e-02 eta: 1 day, 7:33:49 time: 0.2860 data_time: 0.0157 memory: 6332 grad_norm: 3.2467 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7861 loss: 2.7861 2022/08/15 06:21:57 - mmengine - INFO - Epoch(train) [151][1900/3757] lr: 3.6664e-02 eta: 1 day, 7:33:20 time: 0.2863 data_time: 0.0161 memory: 6332 grad_norm: 3.1728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9703 loss: 2.9703 2022/08/15 06:22:26 - mmengine - INFO - Epoch(train) [151][2000/3757] lr: 3.6664e-02 eta: 1 day, 7:32:51 time: 0.2878 data_time: 0.0170 memory: 6332 grad_norm: 3.2747 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4846 loss: 2.4846 2022/08/15 06:22:55 - mmengine - INFO - Epoch(train) [151][2100/3757] lr: 3.6664e-02 eta: 1 day, 7:32:22 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 3.1965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8706 loss: 2.8706 2022/08/15 06:23:24 - mmengine - INFO - Epoch(train) [151][2200/3757] lr: 3.6664e-02 eta: 1 day, 7:31:54 time: 0.2873 data_time: 0.0163 memory: 6332 grad_norm: 3.1851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5348 loss: 2.5348 2022/08/15 06:23:52 - mmengine - INFO - Epoch(train) [151][2300/3757] lr: 3.6664e-02 eta: 1 day, 7:31:25 time: 0.2855 data_time: 0.0166 memory: 6332 grad_norm: 3.1784 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4983 loss: 2.4983 2022/08/15 06:24:21 - mmengine - INFO - Epoch(train) [151][2400/3757] lr: 3.6664e-02 eta: 1 day, 7:30:57 time: 0.2835 data_time: 0.0150 memory: 6332 grad_norm: 3.2489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8147 loss: 2.8147 2022/08/15 06:24:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:24:50 - mmengine - INFO - Epoch(train) [151][2500/3757] lr: 3.6664e-02 eta: 1 day, 7:30:29 time: 0.2867 data_time: 0.0163 memory: 6332 grad_norm: 3.2628 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6634 loss: 2.6634 2022/08/15 06:25:19 - mmengine - INFO - Epoch(train) [151][2600/3757] lr: 3.6664e-02 eta: 1 day, 7:30:01 time: 0.2844 data_time: 0.0153 memory: 6332 grad_norm: 3.2032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5829 loss: 2.5829 2022/08/15 06:25:48 - mmengine - INFO - Epoch(train) [151][2700/3757] lr: 3.6664e-02 eta: 1 day, 7:29:33 time: 0.2868 data_time: 0.0162 memory: 6332 grad_norm: 3.2044 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6841 loss: 2.6841 2022/08/15 06:26:17 - mmengine - INFO - Epoch(train) [151][2800/3757] lr: 3.6664e-02 eta: 1 day, 7:29:04 time: 0.2855 data_time: 0.0165 memory: 6332 grad_norm: 3.2411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6031 loss: 2.6031 2022/08/15 06:26:46 - mmengine - INFO - Epoch(train) [151][2900/3757] lr: 3.6664e-02 eta: 1 day, 7:28:35 time: 0.2894 data_time: 0.0171 memory: 6332 grad_norm: 3.3057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5672 loss: 2.5672 2022/08/15 06:27:15 - mmengine - INFO - Epoch(train) [151][3000/3757] lr: 3.6664e-02 eta: 1 day, 7:28:08 time: 0.2859 data_time: 0.0158 memory: 6332 grad_norm: 3.2091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7479 loss: 2.7479 2022/08/15 06:27:44 - mmengine - INFO - Epoch(train) [151][3100/3757] lr: 3.6664e-02 eta: 1 day, 7:27:40 time: 0.2867 data_time: 0.0167 memory: 6332 grad_norm: 3.2361 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4131 loss: 2.4131 2022/08/15 06:28:13 - mmengine - INFO - Epoch(train) [151][3200/3757] lr: 3.6664e-02 eta: 1 day, 7:27:11 time: 0.2877 data_time: 0.0165 memory: 6332 grad_norm: 3.1512 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8416 loss: 2.8416 2022/08/15 06:28:42 - mmengine - INFO - Epoch(train) [151][3300/3757] lr: 3.6664e-02 eta: 1 day, 7:26:42 time: 0.2853 data_time: 0.0156 memory: 6332 grad_norm: 3.2819 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5113 loss: 2.5113 2022/08/15 06:29:11 - mmengine - INFO - Epoch(train) [151][3400/3757] lr: 3.6664e-02 eta: 1 day, 7:26:14 time: 0.2854 data_time: 0.0146 memory: 6332 grad_norm: 3.2570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7467 loss: 2.7467 2022/08/15 06:29:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:29:39 - mmengine - INFO - Epoch(train) [151][3500/3757] lr: 3.6664e-02 eta: 1 day, 7:25:44 time: 0.2850 data_time: 0.0150 memory: 6332 grad_norm: 3.1832 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6864 loss: 2.6864 2022/08/15 06:30:09 - mmengine - INFO - Epoch(train) [151][3600/3757] lr: 3.6664e-02 eta: 1 day, 7:25:17 time: 0.2996 data_time: 0.0156 memory: 6332 grad_norm: 3.2266 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6973 loss: 2.6973 2022/08/15 06:30:37 - mmengine - INFO - Epoch(train) [151][3700/3757] lr: 3.6664e-02 eta: 1 day, 7:24:48 time: 0.2852 data_time: 0.0153 memory: 6332 grad_norm: 3.2157 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6065 loss: 2.6065 2022/08/15 06:30:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:30:54 - mmengine - INFO - Epoch(train) [151][3757/3757] lr: 3.6664e-02 eta: 1 day, 7:24:38 time: 0.2643 data_time: 0.0143 memory: 6332 grad_norm: 3.2008 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.6133 loss: 2.6133 2022/08/15 06:31:25 - mmengine - INFO - Epoch(train) [152][100/3757] lr: 3.6074e-02 eta: 1 day, 7:23:49 time: 0.2835 data_time: 0.0155 memory: 6332 grad_norm: 3.2250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4108 loss: 2.4108 2022/08/15 06:31:54 - mmengine - INFO - Epoch(train) [152][200/3757] lr: 3.6074e-02 eta: 1 day, 7:23:20 time: 0.2866 data_time: 0.0167 memory: 6332 grad_norm: 3.2323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5219 loss: 2.5219 2022/08/15 06:32:22 - mmengine - INFO - Epoch(train) [152][300/3757] lr: 3.6074e-02 eta: 1 day, 7:22:51 time: 0.2870 data_time: 0.0160 memory: 6332 grad_norm: 3.3597 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5100 loss: 2.5100 2022/08/15 06:32:51 - mmengine - INFO - Epoch(train) [152][400/3757] lr: 3.6074e-02 eta: 1 day, 7:22:23 time: 0.2863 data_time: 0.0150 memory: 6332 grad_norm: 3.1608 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8658 loss: 2.8658 2022/08/15 06:33:20 - mmengine - INFO - Epoch(train) [152][500/3757] lr: 3.6074e-02 eta: 1 day, 7:21:54 time: 0.2860 data_time: 0.0156 memory: 6332 grad_norm: 3.2906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5884 loss: 2.5884 2022/08/15 06:33:49 - mmengine - INFO - Epoch(train) [152][600/3757] lr: 3.6074e-02 eta: 1 day, 7:21:25 time: 0.2850 data_time: 0.0176 memory: 6332 grad_norm: 3.2601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8083 loss: 2.8083 2022/08/15 06:34:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:34:18 - mmengine - INFO - Epoch(train) [152][700/3757] lr: 3.6074e-02 eta: 1 day, 7:20:56 time: 0.2829 data_time: 0.0159 memory: 6332 grad_norm: 3.1632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2545 loss: 2.2545 2022/08/15 06:34:46 - mmengine - INFO - Epoch(train) [152][800/3757] lr: 3.6074e-02 eta: 1 day, 7:20:26 time: 0.2833 data_time: 0.0161 memory: 6332 grad_norm: 3.2187 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7867 loss: 2.7867 2022/08/15 06:35:15 - mmengine - INFO - Epoch(train) [152][900/3757] lr: 3.6074e-02 eta: 1 day, 7:19:57 time: 0.2864 data_time: 0.0153 memory: 6332 grad_norm: 3.2797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7370 loss: 2.7370 2022/08/15 06:35:44 - mmengine - INFO - Epoch(train) [152][1000/3757] lr: 3.6074e-02 eta: 1 day, 7:19:27 time: 0.2840 data_time: 0.0152 memory: 6332 grad_norm: 3.2290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4900 loss: 2.4900 2022/08/15 06:36:13 - mmengine - INFO - Epoch(train) [152][1100/3757] lr: 3.6074e-02 eta: 1 day, 7:18:58 time: 0.2865 data_time: 0.0153 memory: 6332 grad_norm: 3.2580 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7158 loss: 2.7158 2022/08/15 06:36:42 - mmengine - INFO - Epoch(train) [152][1200/3757] lr: 3.6074e-02 eta: 1 day, 7:18:30 time: 0.2848 data_time: 0.0148 memory: 6332 grad_norm: 3.0306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5170 loss: 2.5170 2022/08/15 06:37:10 - mmengine - INFO - Epoch(train) [152][1300/3757] lr: 3.6074e-02 eta: 1 day, 7:18:01 time: 0.2847 data_time: 0.0148 memory: 6332 grad_norm: 3.2690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4935 loss: 2.4935 2022/08/15 06:37:40 - mmengine - INFO - Epoch(train) [152][1400/3757] lr: 3.6074e-02 eta: 1 day, 7:17:34 time: 0.2845 data_time: 0.0155 memory: 6332 grad_norm: 3.2008 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5948 loss: 2.5948 2022/08/15 06:38:08 - mmengine - INFO - Epoch(train) [152][1500/3757] lr: 3.6074e-02 eta: 1 day, 7:17:05 time: 0.2845 data_time: 0.0150 memory: 6332 grad_norm: 3.2732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7103 loss: 2.7103 2022/08/15 06:38:37 - mmengine - INFO - Epoch(train) [152][1600/3757] lr: 3.6074e-02 eta: 1 day, 7:16:37 time: 0.2858 data_time: 0.0150 memory: 6332 grad_norm: 3.2448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7851 loss: 2.7851 2022/08/15 06:39:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:39:06 - mmengine - INFO - Epoch(train) [152][1700/3757] lr: 3.6074e-02 eta: 1 day, 7:16:09 time: 0.2861 data_time: 0.0159 memory: 6332 grad_norm: 3.1933 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5131 loss: 2.5131 2022/08/15 06:39:35 - mmengine - INFO - Epoch(train) [152][1800/3757] lr: 3.6074e-02 eta: 1 day, 7:15:40 time: 0.2854 data_time: 0.0160 memory: 6332 grad_norm: 3.1880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5779 loss: 2.5779 2022/08/15 06:40:04 - mmengine - INFO - Epoch(train) [152][1900/3757] lr: 3.6074e-02 eta: 1 day, 7:15:11 time: 0.2847 data_time: 0.0144 memory: 6332 grad_norm: 3.2682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4460 loss: 2.4460 2022/08/15 06:40:33 - mmengine - INFO - Epoch(train) [152][2000/3757] lr: 3.6074e-02 eta: 1 day, 7:14:42 time: 0.2843 data_time: 0.0145 memory: 6332 grad_norm: 3.3903 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8041 loss: 2.8041 2022/08/15 06:41:01 - mmengine - INFO - Epoch(train) [152][2100/3757] lr: 3.6074e-02 eta: 1 day, 7:14:13 time: 0.2853 data_time: 0.0170 memory: 6332 grad_norm: 3.3404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9487 loss: 2.9487 2022/08/15 06:41:30 - mmengine - INFO - Epoch(train) [152][2200/3757] lr: 3.6074e-02 eta: 1 day, 7:13:44 time: 0.2848 data_time: 0.0161 memory: 6332 grad_norm: 3.2411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6276 loss: 2.6276 2022/08/15 06:41:59 - mmengine - INFO - Epoch(train) [152][2300/3757] lr: 3.6074e-02 eta: 1 day, 7:13:15 time: 0.2879 data_time: 0.0158 memory: 6332 grad_norm: 3.2831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6306 loss: 2.6306 2022/08/15 06:42:28 - mmengine - INFO - Epoch(train) [152][2400/3757] lr: 3.6074e-02 eta: 1 day, 7:12:47 time: 0.2853 data_time: 0.0148 memory: 6332 grad_norm: 3.2546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6508 loss: 2.6508 2022/08/15 06:42:57 - mmengine - INFO - Epoch(train) [152][2500/3757] lr: 3.6074e-02 eta: 1 day, 7:12:18 time: 0.2852 data_time: 0.0163 memory: 6332 grad_norm: 3.2214 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4897 loss: 2.4897 2022/08/15 06:43:26 - mmengine - INFO - Epoch(train) [152][2600/3757] lr: 3.6074e-02 eta: 1 day, 7:11:49 time: 0.2846 data_time: 0.0148 memory: 6332 grad_norm: 3.3547 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6689 loss: 2.6689 2022/08/15 06:43:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:43:55 - mmengine - INFO - Epoch(train) [152][2700/3757] lr: 3.6074e-02 eta: 1 day, 7:11:21 time: 0.2839 data_time: 0.0160 memory: 6332 grad_norm: 3.2014 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4128 loss: 2.4128 2022/08/15 06:44:24 - mmengine - INFO - Epoch(train) [152][2800/3757] lr: 3.6074e-02 eta: 1 day, 7:10:53 time: 0.2854 data_time: 0.0155 memory: 6332 grad_norm: 3.2171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4860 loss: 2.4860 2022/08/15 06:44:53 - mmengine - INFO - Epoch(train) [152][2900/3757] lr: 3.6074e-02 eta: 1 day, 7:10:24 time: 0.2857 data_time: 0.0150 memory: 6332 grad_norm: 3.3510 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9195 loss: 2.9195 2022/08/15 06:45:21 - mmengine - INFO - Epoch(train) [152][3000/3757] lr: 3.6074e-02 eta: 1 day, 7:09:56 time: 0.2852 data_time: 0.0156 memory: 6332 grad_norm: 3.2152 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6467 loss: 2.6467 2022/08/15 06:45:50 - mmengine - INFO - Epoch(train) [152][3100/3757] lr: 3.6074e-02 eta: 1 day, 7:09:27 time: 0.2830 data_time: 0.0161 memory: 6332 grad_norm: 3.2739 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5626 loss: 2.5626 2022/08/15 06:46:19 - mmengine - INFO - Epoch(train) [152][3200/3757] lr: 3.6074e-02 eta: 1 day, 7:08:57 time: 0.2852 data_time: 0.0158 memory: 6332 grad_norm: 3.2268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5874 loss: 2.5874 2022/08/15 06:46:48 - mmengine - INFO - Epoch(train) [152][3300/3757] lr: 3.6074e-02 eta: 1 day, 7:08:28 time: 0.2878 data_time: 0.0157 memory: 6332 grad_norm: 3.1678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5617 loss: 2.5617 2022/08/15 06:47:17 - mmengine - INFO - Epoch(train) [152][3400/3757] lr: 3.6074e-02 eta: 1 day, 7:08:00 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 3.1639 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5768 loss: 2.5768 2022/08/15 06:47:46 - mmengine - INFO - Epoch(train) [152][3500/3757] lr: 3.6074e-02 eta: 1 day, 7:07:31 time: 0.2857 data_time: 0.0158 memory: 6332 grad_norm: 3.3039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4457 loss: 2.4457 2022/08/15 06:48:14 - mmengine - INFO - Epoch(train) [152][3600/3757] lr: 3.6074e-02 eta: 1 day, 7:07:02 time: 0.2844 data_time: 0.0152 memory: 6332 grad_norm: 3.2367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6140 loss: 2.6140 2022/08/15 06:48:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:48:43 - mmengine - INFO - Epoch(train) [152][3700/3757] lr: 3.6074e-02 eta: 1 day, 7:06:33 time: 0.2858 data_time: 0.0171 memory: 6332 grad_norm: 3.2639 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7571 loss: 2.7571 2022/08/15 06:48:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:48:59 - mmengine - INFO - Epoch(train) [152][3757/3757] lr: 3.6074e-02 eta: 1 day, 7:06:22 time: 0.2660 data_time: 0.0163 memory: 6332 grad_norm: 3.1587 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.4828 loss: 2.4828 2022/08/15 06:48:59 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/15 06:49:34 - mmengine - INFO - Epoch(train) [153][100/3757] lr: 3.5486e-02 eta: 1 day, 7:05:29 time: 0.2857 data_time: 0.0156 memory: 6332 grad_norm: 3.3565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3988 loss: 2.3988 2022/08/15 06:50:03 - mmengine - INFO - Epoch(train) [153][200/3757] lr: 3.5486e-02 eta: 1 day, 7:05:00 time: 0.2846 data_time: 0.0157 memory: 6332 grad_norm: 3.3472 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8595 loss: 2.8595 2022/08/15 06:50:31 - mmengine - INFO - Epoch(train) [153][300/3757] lr: 3.5486e-02 eta: 1 day, 7:04:32 time: 0.2872 data_time: 0.0156 memory: 6332 grad_norm: 3.1726 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4220 loss: 2.4220 2022/08/15 06:51:00 - mmengine - INFO - Epoch(train) [153][400/3757] lr: 3.5486e-02 eta: 1 day, 7:04:03 time: 0.2865 data_time: 0.0168 memory: 6332 grad_norm: 3.2695 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5095 loss: 2.5095 2022/08/15 06:51:29 - mmengine - INFO - Epoch(train) [153][500/3757] lr: 3.5486e-02 eta: 1 day, 7:03:34 time: 0.2865 data_time: 0.0163 memory: 6332 grad_norm: 3.2416 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3535 loss: 2.3535 2022/08/15 06:51:58 - mmengine - INFO - Epoch(train) [153][600/3757] lr: 3.5486e-02 eta: 1 day, 7:03:05 time: 0.2858 data_time: 0.0162 memory: 6332 grad_norm: 3.1806 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2554 loss: 2.2554 2022/08/15 06:52:27 - mmengine - INFO - Epoch(train) [153][700/3757] lr: 3.5486e-02 eta: 1 day, 7:02:37 time: 0.2850 data_time: 0.0150 memory: 6332 grad_norm: 3.1753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6305 loss: 2.6305 2022/08/15 06:52:56 - mmengine - INFO - Epoch(train) [153][800/3757] lr: 3.5486e-02 eta: 1 day, 7:02:08 time: 0.2853 data_time: 0.0153 memory: 6332 grad_norm: 3.1940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6435 loss: 2.6435 2022/08/15 06:53:25 - mmengine - INFO - Epoch(train) [153][900/3757] lr: 3.5486e-02 eta: 1 day, 7:01:39 time: 0.2845 data_time: 0.0150 memory: 6332 grad_norm: 3.1819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8026 loss: 2.8026 2022/08/15 06:53:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:53:53 - mmengine - INFO - Epoch(train) [153][1000/3757] lr: 3.5486e-02 eta: 1 day, 7:01:11 time: 0.2837 data_time: 0.0145 memory: 6332 grad_norm: 3.2851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8398 loss: 2.8398 2022/08/15 06:54:22 - mmengine - INFO - Epoch(train) [153][1100/3757] lr: 3.5486e-02 eta: 1 day, 7:00:42 time: 0.2831 data_time: 0.0148 memory: 6332 grad_norm: 3.2116 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7935 loss: 2.7935 2022/08/15 06:54:51 - mmengine - INFO - Epoch(train) [153][1200/3757] lr: 3.5486e-02 eta: 1 day, 7:00:13 time: 0.2855 data_time: 0.0154 memory: 6332 grad_norm: 3.3069 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4473 loss: 2.4473 2022/08/15 06:55:20 - mmengine - INFO - Epoch(train) [153][1300/3757] lr: 3.5486e-02 eta: 1 day, 6:59:44 time: 0.2886 data_time: 0.0177 memory: 6332 grad_norm: 3.2465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4304 loss: 2.4304 2022/08/15 06:55:49 - mmengine - INFO - Epoch(train) [153][1400/3757] lr: 3.5486e-02 eta: 1 day, 6:59:16 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.2874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4973 loss: 2.4973 2022/08/15 06:56:18 - mmengine - INFO - Epoch(train) [153][1500/3757] lr: 3.5486e-02 eta: 1 day, 6:58:48 time: 0.2889 data_time: 0.0164 memory: 6332 grad_norm: 3.1839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/08/15 06:56:47 - mmengine - INFO - Epoch(train) [153][1600/3757] lr: 3.5486e-02 eta: 1 day, 6:58:19 time: 0.2846 data_time: 0.0161 memory: 6332 grad_norm: 3.3815 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7116 loss: 2.7116 2022/08/15 06:57:15 - mmengine - INFO - Epoch(train) [153][1700/3757] lr: 3.5486e-02 eta: 1 day, 6:57:50 time: 0.2885 data_time: 0.0161 memory: 6332 grad_norm: 3.2540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8183 loss: 2.8183 2022/08/15 06:57:44 - mmengine - INFO - Epoch(train) [153][1800/3757] lr: 3.5486e-02 eta: 1 day, 6:57:21 time: 0.2850 data_time: 0.0153 memory: 6332 grad_norm: 3.2994 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4973 loss: 2.4973 2022/08/15 06:58:13 - mmengine - INFO - Epoch(train) [153][1900/3757] lr: 3.5486e-02 eta: 1 day, 6:56:52 time: 0.2855 data_time: 0.0159 memory: 6332 grad_norm: 3.1797 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6795 loss: 2.6795 2022/08/15 06:58:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 06:58:42 - mmengine - INFO - Epoch(train) [153][2000/3757] lr: 3.5486e-02 eta: 1 day, 6:56:24 time: 0.2851 data_time: 0.0149 memory: 6332 grad_norm: 3.2504 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8843 loss: 2.8843 2022/08/15 06:59:11 - mmengine - INFO - Epoch(train) [153][2100/3757] lr: 3.5486e-02 eta: 1 day, 6:55:55 time: 0.2857 data_time: 0.0158 memory: 6332 grad_norm: 3.2031 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4917 loss: 2.4917 2022/08/15 06:59:40 - mmengine - INFO - Epoch(train) [153][2200/3757] lr: 3.5486e-02 eta: 1 day, 6:55:27 time: 0.2882 data_time: 0.0171 memory: 6332 grad_norm: 3.1314 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5743 loss: 2.5743 2022/08/15 07:00:09 - mmengine - INFO - Epoch(train) [153][2300/3757] lr: 3.5486e-02 eta: 1 day, 6:54:58 time: 0.2861 data_time: 0.0153 memory: 6332 grad_norm: 3.3042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4448 loss: 2.4448 2022/08/15 07:00:38 - mmengine - INFO - Epoch(train) [153][2400/3757] lr: 3.5486e-02 eta: 1 day, 6:54:30 time: 0.2857 data_time: 0.0156 memory: 6332 grad_norm: 3.2555 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6345 loss: 2.6345 2022/08/15 07:01:06 - mmengine - INFO - Epoch(train) [153][2500/3757] lr: 3.5486e-02 eta: 1 day, 6:54:01 time: 0.2847 data_time: 0.0166 memory: 6332 grad_norm: 3.1928 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7013 loss: 2.7013 2022/08/15 07:01:35 - mmengine - INFO - Epoch(train) [153][2600/3757] lr: 3.5486e-02 eta: 1 day, 6:53:32 time: 0.2848 data_time: 0.0151 memory: 6332 grad_norm: 3.2104 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6583 loss: 2.6583 2022/08/15 07:02:04 - mmengine - INFO - Epoch(train) [153][2700/3757] lr: 3.5486e-02 eta: 1 day, 6:53:04 time: 0.2869 data_time: 0.0156 memory: 6332 grad_norm: 3.3204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5214 loss: 2.5214 2022/08/15 07:02:33 - mmengine - INFO - Epoch(train) [153][2800/3757] lr: 3.5486e-02 eta: 1 day, 6:52:35 time: 0.2844 data_time: 0.0144 memory: 6332 grad_norm: 3.2569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7258 loss: 2.7258 2022/08/15 07:03:02 - mmengine - INFO - Epoch(train) [153][2900/3757] lr: 3.5486e-02 eta: 1 day, 6:52:06 time: 0.2859 data_time: 0.0163 memory: 6332 grad_norm: 3.3166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5753 loss: 2.5753 2022/08/15 07:03:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:03:31 - mmengine - INFO - Epoch(train) [153][3000/3757] lr: 3.5486e-02 eta: 1 day, 6:51:37 time: 0.2868 data_time: 0.0161 memory: 6332 grad_norm: 3.2482 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5370 loss: 2.5370 2022/08/15 07:03:59 - mmengine - INFO - Epoch(train) [153][3100/3757] lr: 3.5486e-02 eta: 1 day, 6:51:08 time: 0.2863 data_time: 0.0174 memory: 6332 grad_norm: 3.3134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5396 loss: 2.5396 2022/08/15 07:04:28 - mmengine - INFO - Epoch(train) [153][3200/3757] lr: 3.5486e-02 eta: 1 day, 6:50:39 time: 0.2844 data_time: 0.0156 memory: 6332 grad_norm: 3.3194 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7777 loss: 2.7777 2022/08/15 07:04:57 - mmengine - INFO - Epoch(train) [153][3300/3757] lr: 3.5486e-02 eta: 1 day, 6:50:11 time: 0.2895 data_time: 0.0164 memory: 6332 grad_norm: 3.3356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7162 loss: 2.7162 2022/08/15 07:05:26 - mmengine - INFO - Epoch(train) [153][3400/3757] lr: 3.5486e-02 eta: 1 day, 6:49:42 time: 0.2852 data_time: 0.0163 memory: 6332 grad_norm: 3.2019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5962 loss: 2.5962 2022/08/15 07:05:55 - mmengine - INFO - Epoch(train) [153][3500/3757] lr: 3.5486e-02 eta: 1 day, 6:49:13 time: 0.2855 data_time: 0.0150 memory: 6332 grad_norm: 3.3086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8251 loss: 2.8251 2022/08/15 07:06:24 - mmengine - INFO - Epoch(train) [153][3600/3757] lr: 3.5486e-02 eta: 1 day, 6:48:45 time: 0.2848 data_time: 0.0155 memory: 6332 grad_norm: 3.2800 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9065 loss: 2.9065 2022/08/15 07:06:52 - mmengine - INFO - Epoch(train) [153][3700/3757] lr: 3.5486e-02 eta: 1 day, 6:48:15 time: 0.2839 data_time: 0.0151 memory: 6332 grad_norm: 3.2289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2979 loss: 2.2979 2022/08/15 07:07:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:07:08 - mmengine - INFO - Epoch(train) [153][3757/3757] lr: 3.5486e-02 eta: 1 day, 6:48:04 time: 0.2657 data_time: 0.0139 memory: 6332 grad_norm: 3.2623 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.8392 loss: 2.8392 2022/08/15 07:07:40 - mmengine - INFO - Epoch(train) [154][100/3757] lr: 3.4900e-02 eta: 1 day, 6:47:19 time: 0.2877 data_time: 0.0163 memory: 6332 grad_norm: 3.3266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5216 loss: 2.5216 2022/08/15 07:08:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:08:09 - mmengine - INFO - Epoch(train) [154][200/3757] lr: 3.4900e-02 eta: 1 day, 6:46:50 time: 0.2922 data_time: 0.0174 memory: 6332 grad_norm: 3.1609 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3378 loss: 2.3378 2022/08/15 07:08:38 - mmengine - INFO - Epoch(train) [154][300/3757] lr: 3.4900e-02 eta: 1 day, 6:46:22 time: 0.2887 data_time: 0.0152 memory: 6332 grad_norm: 3.3370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6892 loss: 2.6892 2022/08/15 07:09:07 - mmengine - INFO - Epoch(train) [154][400/3757] lr: 3.4900e-02 eta: 1 day, 6:45:53 time: 0.2868 data_time: 0.0167 memory: 6332 grad_norm: 3.1563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8394 loss: 2.8394 2022/08/15 07:09:35 - mmengine - INFO - Epoch(train) [154][500/3757] lr: 3.4900e-02 eta: 1 day, 6:45:24 time: 0.2847 data_time: 0.0151 memory: 6332 grad_norm: 3.3775 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5743 loss: 2.5743 2022/08/15 07:10:04 - mmengine - INFO - Epoch(train) [154][600/3757] lr: 3.4900e-02 eta: 1 day, 6:44:56 time: 0.2872 data_time: 0.0165 memory: 6332 grad_norm: 3.2130 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5451 loss: 2.5451 2022/08/15 07:10:33 - mmengine - INFO - Epoch(train) [154][700/3757] lr: 3.4900e-02 eta: 1 day, 6:44:28 time: 0.2845 data_time: 0.0157 memory: 6332 grad_norm: 3.2488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3203 loss: 2.3203 2022/08/15 07:11:02 - mmengine - INFO - Epoch(train) [154][800/3757] lr: 3.4900e-02 eta: 1 day, 6:43:59 time: 0.2884 data_time: 0.0163 memory: 6332 grad_norm: 3.4000 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8338 loss: 2.8338 2022/08/15 07:11:31 - mmengine - INFO - Epoch(train) [154][900/3757] lr: 3.4900e-02 eta: 1 day, 6:43:30 time: 0.2890 data_time: 0.0164 memory: 6332 grad_norm: 3.3092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7005 loss: 2.7005 2022/08/15 07:12:00 - mmengine - INFO - Epoch(train) [154][1000/3757] lr: 3.4900e-02 eta: 1 day, 6:43:02 time: 0.2915 data_time: 0.0207 memory: 6332 grad_norm: 3.3003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/08/15 07:12:29 - mmengine - INFO - Epoch(train) [154][1100/3757] lr: 3.4900e-02 eta: 1 day, 6:42:33 time: 0.2880 data_time: 0.0153 memory: 6332 grad_norm: 3.2824 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6038 loss: 2.6038 2022/08/15 07:12:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:12:58 - mmengine - INFO - Epoch(train) [154][1200/3757] lr: 3.4900e-02 eta: 1 day, 6:42:05 time: 0.2879 data_time: 0.0168 memory: 6332 grad_norm: 3.2265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6593 loss: 2.6593 2022/08/15 07:13:27 - mmengine - INFO - Epoch(train) [154][1300/3757] lr: 3.4900e-02 eta: 1 day, 6:41:36 time: 0.2850 data_time: 0.0147 memory: 6332 grad_norm: 3.2229 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7062 loss: 2.7062 2022/08/15 07:13:55 - mmengine - INFO - Epoch(train) [154][1400/3757] lr: 3.4900e-02 eta: 1 day, 6:41:08 time: 0.2864 data_time: 0.0151 memory: 6332 grad_norm: 3.2673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5021 loss: 2.5021 2022/08/15 07:14:24 - mmengine - INFO - Epoch(train) [154][1500/3757] lr: 3.4900e-02 eta: 1 day, 6:40:39 time: 0.2857 data_time: 0.0160 memory: 6332 grad_norm: 3.2807 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5544 loss: 2.5544 2022/08/15 07:14:53 - mmengine - INFO - Epoch(train) [154][1600/3757] lr: 3.4900e-02 eta: 1 day, 6:40:11 time: 0.2861 data_time: 0.0166 memory: 6332 grad_norm: 3.3107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7599 loss: 2.7599 2022/08/15 07:15:22 - mmengine - INFO - Epoch(train) [154][1700/3757] lr: 3.4900e-02 eta: 1 day, 6:39:42 time: 0.2895 data_time: 0.0170 memory: 6332 grad_norm: 3.2460 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.8330 loss: 2.8330 2022/08/15 07:15:51 - mmengine - INFO - Epoch(train) [154][1800/3757] lr: 3.4900e-02 eta: 1 day, 6:39:15 time: 0.2843 data_time: 0.0174 memory: 6332 grad_norm: 3.2681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3633 loss: 2.3633 2022/08/15 07:16:20 - mmengine - INFO - Epoch(train) [154][1900/3757] lr: 3.4900e-02 eta: 1 day, 6:38:47 time: 0.2877 data_time: 0.0172 memory: 6332 grad_norm: 3.2742 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3671 loss: 2.3671 2022/08/15 07:16:49 - mmengine - INFO - Epoch(train) [154][2000/3757] lr: 3.4900e-02 eta: 1 day, 6:38:18 time: 0.2848 data_time: 0.0150 memory: 6332 grad_norm: 3.3374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3336 loss: 2.3336 2022/08/15 07:17:18 - mmengine - INFO - Epoch(train) [154][2100/3757] lr: 3.4900e-02 eta: 1 day, 6:37:49 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.2659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4859 loss: 2.4859 2022/08/15 07:17:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:17:47 - mmengine - INFO - Epoch(train) [154][2200/3757] lr: 3.4900e-02 eta: 1 day, 6:37:20 time: 0.2842 data_time: 0.0150 memory: 6332 grad_norm: 3.2166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6880 loss: 2.6880 2022/08/15 07:18:16 - mmengine - INFO - Epoch(train) [154][2300/3757] lr: 3.4900e-02 eta: 1 day, 6:36:51 time: 0.2845 data_time: 0.0147 memory: 6332 grad_norm: 3.1383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5296 loss: 2.5296 2022/08/15 07:18:44 - mmengine - INFO - Epoch(train) [154][2400/3757] lr: 3.4900e-02 eta: 1 day, 6:36:23 time: 0.2860 data_time: 0.0161 memory: 6332 grad_norm: 3.2499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6167 loss: 2.6167 2022/08/15 07:19:13 - mmengine - INFO - Epoch(train) [154][2500/3757] lr: 3.4900e-02 eta: 1 day, 6:35:54 time: 0.2858 data_time: 0.0148 memory: 6332 grad_norm: 3.2830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4707 loss: 2.4707 2022/08/15 07:19:42 - mmengine - INFO - Epoch(train) [154][2600/3757] lr: 3.4900e-02 eta: 1 day, 6:35:26 time: 0.2888 data_time: 0.0166 memory: 6332 grad_norm: 3.2568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2504 loss: 2.2504 2022/08/15 07:20:11 - mmengine - INFO - Epoch(train) [154][2700/3757] lr: 3.4900e-02 eta: 1 day, 6:34:57 time: 0.2872 data_time: 0.0172 memory: 6332 grad_norm: 3.2773 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4383 loss: 2.4383 2022/08/15 07:20:40 - mmengine - INFO - Epoch(train) [154][2800/3757] lr: 3.4900e-02 eta: 1 day, 6:34:29 time: 0.2883 data_time: 0.0152 memory: 6332 grad_norm: 3.1129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4903 loss: 2.4903 2022/08/15 07:21:09 - mmengine - INFO - Epoch(train) [154][2900/3757] lr: 3.4900e-02 eta: 1 day, 6:34:00 time: 0.2871 data_time: 0.0164 memory: 6332 grad_norm: 3.3536 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6162 loss: 2.6162 2022/08/15 07:21:38 - mmengine - INFO - Epoch(train) [154][3000/3757] lr: 3.4900e-02 eta: 1 day, 6:33:31 time: 0.2852 data_time: 0.0147 memory: 6332 grad_norm: 3.3091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6519 loss: 2.6519 2022/08/15 07:22:06 - mmengine - INFO - Epoch(train) [154][3100/3757] lr: 3.4900e-02 eta: 1 day, 6:33:02 time: 0.2841 data_time: 0.0147 memory: 6332 grad_norm: 3.2707 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4342 loss: 2.4342 2022/08/15 07:22:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:22:35 - mmengine - INFO - Epoch(train) [154][3200/3757] lr: 3.4900e-02 eta: 1 day, 6:32:34 time: 0.2841 data_time: 0.0151 memory: 6332 grad_norm: 3.2972 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5831 loss: 2.5831 2022/08/15 07:23:04 - mmengine - INFO - Epoch(train) [154][3300/3757] lr: 3.4900e-02 eta: 1 day, 6:32:05 time: 0.2859 data_time: 0.0154 memory: 6332 grad_norm: 3.1305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4159 loss: 2.4159 2022/08/15 07:23:33 - mmengine - INFO - Epoch(train) [154][3400/3757] lr: 3.4900e-02 eta: 1 day, 6:31:36 time: 0.2845 data_time: 0.0153 memory: 6332 grad_norm: 3.4085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3442 loss: 2.3442 2022/08/15 07:24:02 - mmengine - INFO - Epoch(train) [154][3500/3757] lr: 3.4900e-02 eta: 1 day, 6:31:08 time: 0.2858 data_time: 0.0156 memory: 6332 grad_norm: 3.3794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5253 loss: 2.5253 2022/08/15 07:24:31 - mmengine - INFO - Epoch(train) [154][3600/3757] lr: 3.4900e-02 eta: 1 day, 6:30:39 time: 0.2900 data_time: 0.0187 memory: 6332 grad_norm: 3.2933 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6415 loss: 2.6415 2022/08/15 07:25:00 - mmengine - INFO - Epoch(train) [154][3700/3757] lr: 3.4900e-02 eta: 1 day, 6:30:11 time: 0.2875 data_time: 0.0177 memory: 6332 grad_norm: 3.2588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5416 loss: 2.5416 2022/08/15 07:25:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:25:16 - mmengine - INFO - Epoch(train) [154][3757/3757] lr: 3.4900e-02 eta: 1 day, 6:30:00 time: 0.2634 data_time: 0.0137 memory: 6332 grad_norm: 3.3370 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.5143 loss: 2.5143 2022/08/15 07:25:47 - mmengine - INFO - Epoch(train) [155][100/3757] lr: 3.4316e-02 eta: 1 day, 6:29:13 time: 0.2848 data_time: 0.0156 memory: 6332 grad_norm: 3.2104 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5618 loss: 2.5618 2022/08/15 07:26:16 - mmengine - INFO - Epoch(train) [155][200/3757] lr: 3.4316e-02 eta: 1 day, 6:28:44 time: 0.2871 data_time: 0.0155 memory: 6332 grad_norm: 3.2229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8421 loss: 2.8421 2022/08/15 07:26:45 - mmengine - INFO - Epoch(train) [155][300/3757] lr: 3.4316e-02 eta: 1 day, 6:28:16 time: 0.2836 data_time: 0.0148 memory: 6332 grad_norm: 3.2553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5215 loss: 2.5215 2022/08/15 07:27:13 - mmengine - INFO - Epoch(train) [155][400/3757] lr: 3.4316e-02 eta: 1 day, 6:27:47 time: 0.2850 data_time: 0.0155 memory: 6332 grad_norm: 3.2809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/08/15 07:27:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:27:42 - mmengine - INFO - Epoch(train) [155][500/3757] lr: 3.4316e-02 eta: 1 day, 6:27:18 time: 0.2843 data_time: 0.0149 memory: 6332 grad_norm: 3.2753 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4403 loss: 2.4403 2022/08/15 07:28:11 - mmengine - INFO - Epoch(train) [155][600/3757] lr: 3.4316e-02 eta: 1 day, 6:26:49 time: 0.2870 data_time: 0.0148 memory: 6332 grad_norm: 3.3073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4177 loss: 2.4177 2022/08/15 07:28:40 - mmengine - INFO - Epoch(train) [155][700/3757] lr: 3.4316e-02 eta: 1 day, 6:26:20 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 3.2558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3926 loss: 2.3926 2022/08/15 07:29:09 - mmengine - INFO - Epoch(train) [155][800/3757] lr: 3.4316e-02 eta: 1 day, 6:25:52 time: 0.2864 data_time: 0.0157 memory: 6332 grad_norm: 3.2507 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6845 loss: 2.6845 2022/08/15 07:29:38 - mmengine - INFO - Epoch(train) [155][900/3757] lr: 3.4316e-02 eta: 1 day, 6:25:23 time: 0.2840 data_time: 0.0151 memory: 6332 grad_norm: 3.2490 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0147 loss: 3.0147 2022/08/15 07:30:07 - mmengine - INFO - Epoch(train) [155][1000/3757] lr: 3.4316e-02 eta: 1 day, 6:24:55 time: 0.2863 data_time: 0.0166 memory: 6332 grad_norm: 3.2223 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4743 loss: 2.4743 2022/08/15 07:30:36 - mmengine - INFO - Epoch(train) [155][1100/3757] lr: 3.4316e-02 eta: 1 day, 6:24:27 time: 0.2862 data_time: 0.0152 memory: 6332 grad_norm: 3.3445 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5058 loss: 2.5058 2022/08/15 07:31:04 - mmengine - INFO - Epoch(train) [155][1200/3757] lr: 3.4316e-02 eta: 1 day, 6:23:58 time: 0.2847 data_time: 0.0154 memory: 6332 grad_norm: 3.2969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1917 loss: 2.1917 2022/08/15 07:31:33 - mmengine - INFO - Epoch(train) [155][1300/3757] lr: 3.4316e-02 eta: 1 day, 6:23:29 time: 0.2866 data_time: 0.0158 memory: 6332 grad_norm: 3.3842 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6094 loss: 2.6094 2022/08/15 07:32:02 - mmengine - INFO - Epoch(train) [155][1400/3757] lr: 3.4316e-02 eta: 1 day, 6:23:00 time: 0.2860 data_time: 0.0151 memory: 6332 grad_norm: 3.3004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3699 loss: 2.3699 2022/08/15 07:32:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:32:31 - mmengine - INFO - Epoch(train) [155][1500/3757] lr: 3.4316e-02 eta: 1 day, 6:22:33 time: 0.2911 data_time: 0.0156 memory: 6332 grad_norm: 3.2761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5980 loss: 2.5980 2022/08/15 07:33:00 - mmengine - INFO - Epoch(train) [155][1600/3757] lr: 3.4316e-02 eta: 1 day, 6:22:04 time: 0.2871 data_time: 0.0179 memory: 6332 grad_norm: 3.2891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7188 loss: 2.7188 2022/08/15 07:33:29 - mmengine - INFO - Epoch(train) [155][1700/3757] lr: 3.4316e-02 eta: 1 day, 6:21:36 time: 0.2885 data_time: 0.0157 memory: 6332 grad_norm: 3.2250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7641 loss: 2.7641 2022/08/15 07:33:58 - mmengine - INFO - Epoch(train) [155][1800/3757] lr: 3.4316e-02 eta: 1 day, 6:21:07 time: 0.2855 data_time: 0.0157 memory: 6332 grad_norm: 3.3682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4101 loss: 2.4101 2022/08/15 07:34:27 - mmengine - INFO - Epoch(train) [155][1900/3757] lr: 3.4316e-02 eta: 1 day, 6:20:40 time: 0.2853 data_time: 0.0157 memory: 6332 grad_norm: 3.2649 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4316 loss: 2.4316 2022/08/15 07:34:56 - mmengine - INFO - Epoch(train) [155][2000/3757] lr: 3.4316e-02 eta: 1 day, 6:20:11 time: 0.2864 data_time: 0.0153 memory: 6332 grad_norm: 3.3467 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6812 loss: 2.6812 2022/08/15 07:35:25 - mmengine - INFO - Epoch(train) [155][2100/3757] lr: 3.4316e-02 eta: 1 day, 6:19:44 time: 0.2880 data_time: 0.0166 memory: 6332 grad_norm: 3.3529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6089 loss: 2.6089 2022/08/15 07:35:54 - mmengine - INFO - Epoch(train) [155][2200/3757] lr: 3.4316e-02 eta: 1 day, 6:19:15 time: 0.2883 data_time: 0.0154 memory: 6332 grad_norm: 3.3966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4747 loss: 2.4747 2022/08/15 07:36:23 - mmengine - INFO - Epoch(train) [155][2300/3757] lr: 3.4316e-02 eta: 1 day, 6:18:47 time: 0.2874 data_time: 0.0154 memory: 6332 grad_norm: 3.3777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9127 loss: 2.9127 2022/08/15 07:36:52 - mmengine - INFO - Epoch(train) [155][2400/3757] lr: 3.4316e-02 eta: 1 day, 6:18:18 time: 0.2855 data_time: 0.0163 memory: 6332 grad_norm: 3.3372 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5477 loss: 2.5477 2022/08/15 07:36:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:37:20 - mmengine - INFO - Epoch(train) [155][2500/3757] lr: 3.4316e-02 eta: 1 day, 6:17:49 time: 0.2853 data_time: 0.0154 memory: 6332 grad_norm: 3.2668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5336 loss: 2.5336 2022/08/15 07:37:49 - mmengine - INFO - Epoch(train) [155][2600/3757] lr: 3.4316e-02 eta: 1 day, 6:17:21 time: 0.2857 data_time: 0.0162 memory: 6332 grad_norm: 3.4105 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7288 loss: 2.7288 2022/08/15 07:38:18 - mmengine - INFO - Epoch(train) [155][2700/3757] lr: 3.4316e-02 eta: 1 day, 6:16:52 time: 0.2855 data_time: 0.0156 memory: 6332 grad_norm: 3.2492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5860 loss: 2.5860 2022/08/15 07:38:47 - mmengine - INFO - Epoch(train) [155][2800/3757] lr: 3.4316e-02 eta: 1 day, 6:16:24 time: 0.2862 data_time: 0.0150 memory: 6332 grad_norm: 3.3749 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5805 loss: 2.5805 2022/08/15 07:39:16 - mmengine - INFO - Epoch(train) [155][2900/3757] lr: 3.4316e-02 eta: 1 day, 6:15:56 time: 0.2869 data_time: 0.0172 memory: 6332 grad_norm: 3.3641 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0818 loss: 3.0818 2022/08/15 07:39:45 - mmengine - INFO - Epoch(train) [155][3000/3757] lr: 3.4316e-02 eta: 1 day, 6:15:27 time: 0.2861 data_time: 0.0147 memory: 6332 grad_norm: 3.2979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8844 loss: 2.8844 2022/08/15 07:40:14 - mmengine - INFO - Epoch(train) [155][3100/3757] lr: 3.4316e-02 eta: 1 day, 6:14:59 time: 0.2881 data_time: 0.0166 memory: 6332 grad_norm: 3.3129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6437 loss: 2.6437 2022/08/15 07:40:43 - mmengine - INFO - Epoch(train) [155][3200/3757] lr: 3.4316e-02 eta: 1 day, 6:14:30 time: 0.2866 data_time: 0.0181 memory: 6332 grad_norm: 3.3406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5595 loss: 2.5595 2022/08/15 07:41:12 - mmengine - INFO - Epoch(train) [155][3300/3757] lr: 3.4316e-02 eta: 1 day, 6:14:02 time: 0.2871 data_time: 0.0156 memory: 6332 grad_norm: 3.2625 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6474 loss: 2.6474 2022/08/15 07:41:41 - mmengine - INFO - Epoch(train) [155][3400/3757] lr: 3.4316e-02 eta: 1 day, 6:13:33 time: 0.2857 data_time: 0.0165 memory: 6332 grad_norm: 3.1826 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5575 loss: 2.5575 2022/08/15 07:41:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:42:10 - mmengine - INFO - Epoch(train) [155][3500/3757] lr: 3.4316e-02 eta: 1 day, 6:13:05 time: 0.2871 data_time: 0.0144 memory: 6332 grad_norm: 3.2987 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0592 loss: 3.0592 2022/08/15 07:42:38 - mmengine - INFO - Epoch(train) [155][3600/3757] lr: 3.4316e-02 eta: 1 day, 6:12:36 time: 0.2830 data_time: 0.0158 memory: 6332 grad_norm: 3.2395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/08/15 07:43:07 - mmengine - INFO - Epoch(train) [155][3700/3757] lr: 3.4316e-02 eta: 1 day, 6:12:07 time: 0.2835 data_time: 0.0155 memory: 6332 grad_norm: 3.2675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8832 loss: 2.8832 2022/08/15 07:43:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:43:23 - mmengine - INFO - Epoch(train) [155][3757/3757] lr: 3.4316e-02 eta: 1 day, 6:11:56 time: 0.2645 data_time: 0.0142 memory: 6332 grad_norm: 3.2823 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.6340 loss: 2.6340 2022/08/15 07:43:46 - mmengine - INFO - Epoch(val) [155][100/310] eta: 0:00:47 time: 0.2247 data_time: 0.1273 memory: 1147 2022/08/15 07:44:08 - mmengine - INFO - Epoch(val) [155][200/310] eta: 0:00:22 time: 0.2051 data_time: 0.1106 memory: 1147 2022/08/15 07:44:30 - mmengine - INFO - Epoch(val) [155][300/310] eta: 0:00:02 time: 0.2280 data_time: 0.1328 memory: 1147 2022/08/15 07:44:33 - mmengine - INFO - Epoch(val) [155][310/310] acc/top1: 0.4973 acc/top5: 0.7563 acc/mean1: 0.4973 2022/08/15 07:44:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_151.pth is removed 2022/08/15 07:44:36 - mmengine - INFO - The best checkpoint with 0.4973 acc/top1 at 156 epoch is saved to best_acc/top1_epoch_156.pth. 2022/08/15 07:45:06 - mmengine - INFO - Epoch(train) [156][100/3757] lr: 3.3734e-02 eta: 1 day, 6:11:06 time: 0.2952 data_time: 0.0169 memory: 6332 grad_norm: 3.2522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7984 loss: 2.7984 2022/08/15 07:45:35 - mmengine - INFO - Epoch(train) [156][200/3757] lr: 3.3734e-02 eta: 1 day, 6:10:39 time: 0.2936 data_time: 0.0169 memory: 6332 grad_norm: 3.3627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5984 loss: 2.5984 2022/08/15 07:46:04 - mmengine - INFO - Epoch(train) [156][300/3757] lr: 3.3734e-02 eta: 1 day, 6:10:10 time: 0.2861 data_time: 0.0172 memory: 6332 grad_norm: 3.2916 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6436 loss: 2.6436 2022/08/15 07:46:33 - mmengine - INFO - Epoch(train) [156][400/3757] lr: 3.3734e-02 eta: 1 day, 6:09:42 time: 0.2892 data_time: 0.0147 memory: 6332 grad_norm: 3.3475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6503 loss: 2.6503 2022/08/15 07:47:02 - mmengine - INFO - Epoch(train) [156][500/3757] lr: 3.3734e-02 eta: 1 day, 6:09:12 time: 0.2839 data_time: 0.0150 memory: 6332 grad_norm: 3.4058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6822 loss: 2.6822 2022/08/15 07:47:31 - mmengine - INFO - Epoch(train) [156][600/3757] lr: 3.3734e-02 eta: 1 day, 6:08:44 time: 0.2847 data_time: 0.0155 memory: 6332 grad_norm: 3.3268 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6279 loss: 2.6279 2022/08/15 07:47:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:48:00 - mmengine - INFO - Epoch(train) [156][700/3757] lr: 3.3734e-02 eta: 1 day, 6:08:16 time: 0.2837 data_time: 0.0151 memory: 6332 grad_norm: 3.3821 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5266 loss: 2.5266 2022/08/15 07:48:29 - mmengine - INFO - Epoch(train) [156][800/3757] lr: 3.3734e-02 eta: 1 day, 6:07:47 time: 0.2840 data_time: 0.0159 memory: 6332 grad_norm: 3.5034 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8642 loss: 2.8642 2022/08/15 07:48:57 - mmengine - INFO - Epoch(train) [156][900/3757] lr: 3.3734e-02 eta: 1 day, 6:07:18 time: 0.2866 data_time: 0.0152 memory: 6332 grad_norm: 3.2918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4609 loss: 2.4609 2022/08/15 07:49:27 - mmengine - INFO - Epoch(train) [156][1000/3757] lr: 3.3734e-02 eta: 1 day, 6:06:50 time: 0.2930 data_time: 0.0144 memory: 6332 grad_norm: 3.3516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4273 loss: 2.4273 2022/08/15 07:49:55 - mmengine - INFO - Epoch(train) [156][1100/3757] lr: 3.3734e-02 eta: 1 day, 6:06:21 time: 0.2856 data_time: 0.0161 memory: 6332 grad_norm: 3.2618 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5817 loss: 2.5817 2022/08/15 07:50:24 - mmengine - INFO - Epoch(train) [156][1200/3757] lr: 3.3734e-02 eta: 1 day, 6:05:54 time: 0.2942 data_time: 0.0166 memory: 6332 grad_norm: 3.3484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4495 loss: 2.4495 2022/08/15 07:50:53 - mmengine - INFO - Epoch(train) [156][1300/3757] lr: 3.3734e-02 eta: 1 day, 6:05:25 time: 0.2856 data_time: 0.0157 memory: 6332 grad_norm: 3.3618 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6089 loss: 2.6089 2022/08/15 07:51:22 - mmengine - INFO - Epoch(train) [156][1400/3757] lr: 3.3734e-02 eta: 1 day, 6:04:57 time: 0.2845 data_time: 0.0161 memory: 6332 grad_norm: 3.4525 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7647 loss: 2.7647 2022/08/15 07:51:51 - mmengine - INFO - Epoch(train) [156][1500/3757] lr: 3.3734e-02 eta: 1 day, 6:04:28 time: 0.2852 data_time: 0.0147 memory: 6332 grad_norm: 3.3265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4346 loss: 2.4346 2022/08/15 07:52:20 - mmengine - INFO - Epoch(train) [156][1600/3757] lr: 3.3734e-02 eta: 1 day, 6:04:00 time: 0.2846 data_time: 0.0154 memory: 6332 grad_norm: 3.2881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9726 loss: 2.9726 2022/08/15 07:52:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:52:49 - mmengine - INFO - Epoch(train) [156][1700/3757] lr: 3.3734e-02 eta: 1 day, 6:03:32 time: 0.2845 data_time: 0.0143 memory: 6332 grad_norm: 3.3748 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6591 loss: 2.6591 2022/08/15 07:53:18 - mmengine - INFO - Epoch(train) [156][1800/3757] lr: 3.3734e-02 eta: 1 day, 6:03:03 time: 0.2835 data_time: 0.0143 memory: 6332 grad_norm: 3.3543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4762 loss: 2.4762 2022/08/15 07:53:47 - mmengine - INFO - Epoch(train) [156][1900/3757] lr: 3.3734e-02 eta: 1 day, 6:02:34 time: 0.2852 data_time: 0.0157 memory: 6332 grad_norm: 3.3171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8187 loss: 2.8187 2022/08/15 07:54:16 - mmengine - INFO - Epoch(train) [156][2000/3757] lr: 3.3734e-02 eta: 1 day, 6:02:06 time: 0.2866 data_time: 0.0168 memory: 6332 grad_norm: 3.2220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8740 loss: 2.8740 2022/08/15 07:54:45 - mmengine - INFO - Epoch(train) [156][2100/3757] lr: 3.3734e-02 eta: 1 day, 6:01:38 time: 0.2868 data_time: 0.0151 memory: 6332 grad_norm: 3.4283 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7825 loss: 2.7825 2022/08/15 07:55:14 - mmengine - INFO - Epoch(train) [156][2200/3757] lr: 3.3734e-02 eta: 1 day, 6:01:09 time: 0.2861 data_time: 0.0151 memory: 6332 grad_norm: 3.2221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5974 loss: 2.5974 2022/08/15 07:55:43 - mmengine - INFO - Epoch(train) [156][2300/3757] lr: 3.3734e-02 eta: 1 day, 6:00:42 time: 0.2859 data_time: 0.0160 memory: 6332 grad_norm: 3.2818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6485 loss: 2.6485 2022/08/15 07:56:12 - mmengine - INFO - Epoch(train) [156][2400/3757] lr: 3.3734e-02 eta: 1 day, 6:00:14 time: 0.2858 data_time: 0.0148 memory: 6332 grad_norm: 3.2574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3891 loss: 2.3891 2022/08/15 07:56:40 - mmengine - INFO - Epoch(train) [156][2500/3757] lr: 3.3734e-02 eta: 1 day, 5:59:45 time: 0.2860 data_time: 0.0156 memory: 6332 grad_norm: 3.3662 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7636 loss: 2.7636 2022/08/15 07:57:09 - mmengine - INFO - Epoch(train) [156][2600/3757] lr: 3.3734e-02 eta: 1 day, 5:59:16 time: 0.2839 data_time: 0.0149 memory: 6332 grad_norm: 3.2386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3706 loss: 2.3706 2022/08/15 07:57:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 07:57:38 - mmengine - INFO - Epoch(train) [156][2700/3757] lr: 3.3734e-02 eta: 1 day, 5:58:48 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 3.3167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6542 loss: 2.6542 2022/08/15 07:58:07 - mmengine - INFO - Epoch(train) [156][2800/3757] lr: 3.3734e-02 eta: 1 day, 5:58:19 time: 0.2856 data_time: 0.0163 memory: 6332 grad_norm: 3.2375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/08/15 07:58:36 - mmengine - INFO - Epoch(train) [156][2900/3757] lr: 3.3734e-02 eta: 1 day, 5:57:50 time: 0.2856 data_time: 0.0177 memory: 6332 grad_norm: 3.3023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6370 loss: 2.6370 2022/08/15 07:59:05 - mmengine - INFO - Epoch(train) [156][3000/3757] lr: 3.3734e-02 eta: 1 day, 5:57:22 time: 0.2871 data_time: 0.0166 memory: 6332 grad_norm: 3.3067 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5449 loss: 2.5449 2022/08/15 07:59:34 - mmengine - INFO - Epoch(train) [156][3100/3757] lr: 3.3734e-02 eta: 1 day, 5:56:53 time: 0.2866 data_time: 0.0152 memory: 6332 grad_norm: 3.2117 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6667 loss: 2.6667 2022/08/15 08:00:02 - mmengine - INFO - Epoch(train) [156][3200/3757] lr: 3.3734e-02 eta: 1 day, 5:56:24 time: 0.2867 data_time: 0.0167 memory: 6332 grad_norm: 3.2818 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7175 loss: 2.7175 2022/08/15 08:00:31 - mmengine - INFO - Epoch(train) [156][3300/3757] lr: 3.3734e-02 eta: 1 day, 5:55:56 time: 0.2866 data_time: 0.0156 memory: 6332 grad_norm: 3.2587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5900 loss: 2.5900 2022/08/15 08:01:00 - mmengine - INFO - Epoch(train) [156][3400/3757] lr: 3.3734e-02 eta: 1 day, 5:55:27 time: 0.2872 data_time: 0.0161 memory: 6332 grad_norm: 3.3149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5750 loss: 2.5750 2022/08/15 08:01:29 - mmengine - INFO - Epoch(train) [156][3500/3757] lr: 3.3734e-02 eta: 1 day, 5:54:58 time: 0.2864 data_time: 0.0154 memory: 6332 grad_norm: 3.3484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6413 loss: 2.6413 2022/08/15 08:01:58 - mmengine - INFO - Epoch(train) [156][3600/3757] lr: 3.3734e-02 eta: 1 day, 5:54:30 time: 0.2859 data_time: 0.0153 memory: 6332 grad_norm: 3.3059 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7974 loss: 2.7974 2022/08/15 08:02:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:02:27 - mmengine - INFO - Epoch(train) [156][3700/3757] lr: 3.3734e-02 eta: 1 day, 5:54:02 time: 0.2895 data_time: 0.0199 memory: 6332 grad_norm: 3.1986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4868 loss: 2.4868 2022/08/15 08:02:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:02:43 - mmengine - INFO - Epoch(train) [156][3757/3757] lr: 3.3734e-02 eta: 1 day, 5:53:51 time: 0.2652 data_time: 0.0153 memory: 6332 grad_norm: 3.4287 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.7573 loss: 2.7573 2022/08/15 08:02:43 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/15 08:03:17 - mmengine - INFO - Epoch(train) [157][100/3757] lr: 3.3156e-02 eta: 1 day, 5:53:01 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 3.4508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5113 loss: 2.5113 2022/08/15 08:03:46 - mmengine - INFO - Epoch(train) [157][200/3757] lr: 3.3156e-02 eta: 1 day, 5:52:33 time: 0.2881 data_time: 0.0165 memory: 6332 grad_norm: 3.2044 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6377 loss: 2.6377 2022/08/15 08:04:15 - mmengine - INFO - Epoch(train) [157][300/3757] lr: 3.3156e-02 eta: 1 day, 5:52:05 time: 0.2887 data_time: 0.0161 memory: 6332 grad_norm: 3.2997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7969 loss: 2.7969 2022/08/15 08:04:44 - mmengine - INFO - Epoch(train) [157][400/3757] lr: 3.3156e-02 eta: 1 day, 5:51:37 time: 0.2929 data_time: 0.0171 memory: 6332 grad_norm: 3.2832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4067 loss: 2.4067 2022/08/15 08:05:13 - mmengine - INFO - Epoch(train) [157][500/3757] lr: 3.3156e-02 eta: 1 day, 5:51:08 time: 0.2854 data_time: 0.0168 memory: 6332 grad_norm: 3.3382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5415 loss: 2.5415 2022/08/15 08:05:42 - mmengine - INFO - Epoch(train) [157][600/3757] lr: 3.3156e-02 eta: 1 day, 5:50:41 time: 0.2927 data_time: 0.0157 memory: 6332 grad_norm: 3.3813 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8968 loss: 2.8968 2022/08/15 08:06:11 - mmengine - INFO - Epoch(train) [157][700/3757] lr: 3.3156e-02 eta: 1 day, 5:50:12 time: 0.2852 data_time: 0.0152 memory: 6332 grad_norm: 3.3469 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6110 loss: 2.6110 2022/08/15 08:06:40 - mmengine - INFO - Epoch(train) [157][800/3757] lr: 3.3156e-02 eta: 1 day, 5:49:44 time: 0.2876 data_time: 0.0165 memory: 6332 grad_norm: 3.2528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4184 loss: 2.4184 2022/08/15 08:07:09 - mmengine - INFO - Epoch(train) [157][900/3757] lr: 3.3156e-02 eta: 1 day, 5:49:15 time: 0.2842 data_time: 0.0160 memory: 6332 grad_norm: 3.3300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4926 loss: 2.4926 2022/08/15 08:07:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:07:38 - mmengine - INFO - Epoch(train) [157][1000/3757] lr: 3.3156e-02 eta: 1 day, 5:48:48 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 3.3465 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7197 loss: 2.7197 2022/08/15 08:08:07 - mmengine - INFO - Epoch(train) [157][1100/3757] lr: 3.3156e-02 eta: 1 day, 5:48:19 time: 0.2904 data_time: 0.0167 memory: 6332 grad_norm: 3.3588 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7056 loss: 2.7056 2022/08/15 08:08:36 - mmengine - INFO - Epoch(train) [157][1200/3757] lr: 3.3156e-02 eta: 1 day, 5:47:50 time: 0.2868 data_time: 0.0159 memory: 6332 grad_norm: 3.3853 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6495 loss: 2.6495 2022/08/15 08:09:05 - mmengine - INFO - Epoch(train) [157][1300/3757] lr: 3.3156e-02 eta: 1 day, 5:47:22 time: 0.2878 data_time: 0.0164 memory: 6332 grad_norm: 3.3431 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3239 loss: 2.3239 2022/08/15 08:09:34 - mmengine - INFO - Epoch(train) [157][1400/3757] lr: 3.3156e-02 eta: 1 day, 5:46:54 time: 0.2919 data_time: 0.0162 memory: 6332 grad_norm: 3.2356 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4961 loss: 2.4961 2022/08/15 08:10:03 - mmengine - INFO - Epoch(train) [157][1500/3757] lr: 3.3156e-02 eta: 1 day, 5:46:25 time: 0.2843 data_time: 0.0164 memory: 6332 grad_norm: 3.3098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3043 loss: 2.3043 2022/08/15 08:10:32 - mmengine - INFO - Epoch(train) [157][1600/3757] lr: 3.3156e-02 eta: 1 day, 5:45:57 time: 0.2856 data_time: 0.0155 memory: 6332 grad_norm: 3.2998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4548 loss: 2.4548 2022/08/15 08:11:01 - mmengine - INFO - Epoch(train) [157][1700/3757] lr: 3.3156e-02 eta: 1 day, 5:45:29 time: 0.2860 data_time: 0.0152 memory: 6332 grad_norm: 3.3813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5652 loss: 2.5652 2022/08/15 08:11:30 - mmengine - INFO - Epoch(train) [157][1800/3757] lr: 3.3156e-02 eta: 1 day, 5:45:01 time: 0.2855 data_time: 0.0150 memory: 6332 grad_norm: 3.2887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7155 loss: 2.7155 2022/08/15 08:11:58 - mmengine - INFO - Epoch(train) [157][1900/3757] lr: 3.3156e-02 eta: 1 day, 5:44:33 time: 0.2869 data_time: 0.0159 memory: 6332 grad_norm: 3.3201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5301 loss: 2.5301 2022/08/15 08:12:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:12:27 - mmengine - INFO - Epoch(train) [157][2000/3757] lr: 3.3156e-02 eta: 1 day, 5:44:04 time: 0.2905 data_time: 0.0156 memory: 6332 grad_norm: 3.2933 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4914 loss: 2.4914 2022/08/15 08:12:56 - mmengine - INFO - Epoch(train) [157][2100/3757] lr: 3.3156e-02 eta: 1 day, 5:43:36 time: 0.2852 data_time: 0.0152 memory: 6332 grad_norm: 3.4274 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4860 loss: 2.4860 2022/08/15 08:13:25 - mmengine - INFO - Epoch(train) [157][2200/3757] lr: 3.3156e-02 eta: 1 day, 5:43:07 time: 0.2858 data_time: 0.0154 memory: 6332 grad_norm: 3.3232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6797 loss: 2.6797 2022/08/15 08:13:54 - mmengine - INFO - Epoch(train) [157][2300/3757] lr: 3.3156e-02 eta: 1 day, 5:42:39 time: 0.2879 data_time: 0.0162 memory: 6332 grad_norm: 3.3300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6363 loss: 2.6363 2022/08/15 08:14:23 - mmengine - INFO - Epoch(train) [157][2400/3757] lr: 3.3156e-02 eta: 1 day, 5:42:11 time: 0.2861 data_time: 0.0152 memory: 6332 grad_norm: 3.3917 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5014 loss: 2.5014 2022/08/15 08:14:52 - mmengine - INFO - Epoch(train) [157][2500/3757] lr: 3.3156e-02 eta: 1 day, 5:41:42 time: 0.2846 data_time: 0.0158 memory: 6332 grad_norm: 3.3137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6295 loss: 2.6295 2022/08/15 08:15:21 - mmengine - INFO - Epoch(train) [157][2600/3757] lr: 3.3156e-02 eta: 1 day, 5:41:13 time: 0.2858 data_time: 0.0156 memory: 6332 grad_norm: 3.3077 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4164 loss: 2.4164 2022/08/15 08:15:50 - mmengine - INFO - Epoch(train) [157][2700/3757] lr: 3.3156e-02 eta: 1 day, 5:40:45 time: 0.2856 data_time: 0.0154 memory: 6332 grad_norm: 3.3298 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7080 loss: 2.7080 2022/08/15 08:16:19 - mmengine - INFO - Epoch(train) [157][2800/3757] lr: 3.3156e-02 eta: 1 day, 5:40:17 time: 0.2945 data_time: 0.0172 memory: 6332 grad_norm: 3.3789 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.3689 loss: 2.3689 2022/08/15 08:16:48 - mmengine - INFO - Epoch(train) [157][2900/3757] lr: 3.3156e-02 eta: 1 day, 5:39:48 time: 0.2884 data_time: 0.0179 memory: 6332 grad_norm: 3.2923 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4222 loss: 2.4222 2022/08/15 08:16:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:17:16 - mmengine - INFO - Epoch(train) [157][3000/3757] lr: 3.3156e-02 eta: 1 day, 5:39:19 time: 0.2865 data_time: 0.0158 memory: 6332 grad_norm: 3.3653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5293 loss: 2.5293 2022/08/15 08:17:45 - mmengine - INFO - Epoch(train) [157][3100/3757] lr: 3.3156e-02 eta: 1 day, 5:38:51 time: 0.2912 data_time: 0.0160 memory: 6332 grad_norm: 3.3357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3016 loss: 2.3016 2022/08/15 08:18:14 - mmengine - INFO - Epoch(train) [157][3200/3757] lr: 3.3156e-02 eta: 1 day, 5:38:22 time: 0.2864 data_time: 0.0160 memory: 6332 grad_norm: 3.2697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7059 loss: 2.7059 2022/08/15 08:18:43 - mmengine - INFO - Epoch(train) [157][3300/3757] lr: 3.3156e-02 eta: 1 day, 5:37:54 time: 0.2845 data_time: 0.0145 memory: 6332 grad_norm: 3.3833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3740 loss: 2.3740 2022/08/15 08:19:12 - mmengine - INFO - Epoch(train) [157][3400/3757] lr: 3.3156e-02 eta: 1 day, 5:37:25 time: 0.2861 data_time: 0.0152 memory: 6332 grad_norm: 3.2983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8482 loss: 2.8482 2022/08/15 08:19:41 - mmengine - INFO - Epoch(train) [157][3500/3757] lr: 3.3156e-02 eta: 1 day, 5:36:57 time: 0.2873 data_time: 0.0151 memory: 6332 grad_norm: 3.3986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6664 loss: 2.6664 2022/08/15 08:20:10 - mmengine - INFO - Epoch(train) [157][3600/3757] lr: 3.3156e-02 eta: 1 day, 5:36:29 time: 0.2845 data_time: 0.0155 memory: 6332 grad_norm: 3.2822 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0092 loss: 3.0092 2022/08/15 08:20:39 - mmengine - INFO - Epoch(train) [157][3700/3757] lr: 3.3156e-02 eta: 1 day, 5:36:00 time: 0.2880 data_time: 0.0164 memory: 6332 grad_norm: 3.2694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4302 loss: 2.4302 2022/08/15 08:20:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:20:55 - mmengine - INFO - Epoch(train) [157][3757/3757] lr: 3.3156e-02 eta: 1 day, 5:35:49 time: 0.2642 data_time: 0.0138 memory: 6332 grad_norm: 3.3598 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.4840 loss: 2.4840 2022/08/15 08:21:26 - mmengine - INFO - Epoch(train) [158][100/3757] lr: 3.2579e-02 eta: 1 day, 5:35:05 time: 0.2870 data_time: 0.0155 memory: 6332 grad_norm: 3.4099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5055 loss: 2.5055 2022/08/15 08:21:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:21:55 - mmengine - INFO - Epoch(train) [158][200/3757] lr: 3.2579e-02 eta: 1 day, 5:34:37 time: 0.2852 data_time: 0.0168 memory: 6332 grad_norm: 3.3176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4705 loss: 2.4705 2022/08/15 08:22:24 - mmengine - INFO - Epoch(train) [158][300/3757] lr: 3.2579e-02 eta: 1 day, 5:34:08 time: 0.2874 data_time: 0.0161 memory: 6332 grad_norm: 3.3202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5013 loss: 2.5013 2022/08/15 08:22:53 - mmengine - INFO - Epoch(train) [158][400/3757] lr: 3.2579e-02 eta: 1 day, 5:33:39 time: 0.2849 data_time: 0.0156 memory: 6332 grad_norm: 3.2884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3987 loss: 2.3987 2022/08/15 08:23:22 - mmengine - INFO - Epoch(train) [158][500/3757] lr: 3.2579e-02 eta: 1 day, 5:33:11 time: 0.2856 data_time: 0.0153 memory: 6332 grad_norm: 3.3048 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5707 loss: 2.5707 2022/08/15 08:23:51 - mmengine - INFO - Epoch(train) [158][600/3757] lr: 3.2579e-02 eta: 1 day, 5:32:43 time: 0.2867 data_time: 0.0143 memory: 6332 grad_norm: 3.3477 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7220 loss: 2.7220 2022/08/15 08:24:20 - mmengine - INFO - Epoch(train) [158][700/3757] lr: 3.2579e-02 eta: 1 day, 5:32:15 time: 0.2863 data_time: 0.0156 memory: 6332 grad_norm: 3.4360 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6665 loss: 2.6665 2022/08/15 08:24:48 - mmengine - INFO - Epoch(train) [158][800/3757] lr: 3.2579e-02 eta: 1 day, 5:31:46 time: 0.2872 data_time: 0.0169 memory: 6332 grad_norm: 3.3904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7594 loss: 2.7594 2022/08/15 08:25:17 - mmengine - INFO - Epoch(train) [158][900/3757] lr: 3.2579e-02 eta: 1 day, 5:31:18 time: 0.2868 data_time: 0.0154 memory: 6332 grad_norm: 3.3350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5788 loss: 2.5788 2022/08/15 08:25:46 - mmengine - INFO - Epoch(train) [158][1000/3757] lr: 3.2579e-02 eta: 1 day, 5:30:49 time: 0.2876 data_time: 0.0154 memory: 6332 grad_norm: 3.4301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6094 loss: 2.6094 2022/08/15 08:26:15 - mmengine - INFO - Epoch(train) [158][1100/3757] lr: 3.2579e-02 eta: 1 day, 5:30:21 time: 0.2909 data_time: 0.0154 memory: 6332 grad_norm: 3.3779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5160 loss: 2.5160 2022/08/15 08:26:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:26:44 - mmengine - INFO - Epoch(train) [158][1200/3757] lr: 3.2579e-02 eta: 1 day, 5:29:53 time: 0.2877 data_time: 0.0165 memory: 6332 grad_norm: 3.3771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4696 loss: 2.4696 2022/08/15 08:27:13 - mmengine - INFO - Epoch(train) [158][1300/3757] lr: 3.2579e-02 eta: 1 day, 5:29:24 time: 0.2860 data_time: 0.0153 memory: 6332 grad_norm: 3.3283 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7886 loss: 2.7886 2022/08/15 08:27:42 - mmengine - INFO - Epoch(train) [158][1400/3757] lr: 3.2579e-02 eta: 1 day, 5:28:55 time: 0.2856 data_time: 0.0151 memory: 6332 grad_norm: 3.3175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5225 loss: 2.5225 2022/08/15 08:28:11 - mmengine - INFO - Epoch(train) [158][1500/3757] lr: 3.2579e-02 eta: 1 day, 5:28:27 time: 0.2865 data_time: 0.0155 memory: 6332 grad_norm: 3.3465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5213 loss: 2.5213 2022/08/15 08:28:40 - mmengine - INFO - Epoch(train) [158][1600/3757] lr: 3.2579e-02 eta: 1 day, 5:27:58 time: 0.2897 data_time: 0.0169 memory: 6332 grad_norm: 3.3575 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4772 loss: 2.4772 2022/08/15 08:29:09 - mmengine - INFO - Epoch(train) [158][1700/3757] lr: 3.2579e-02 eta: 1 day, 5:27:30 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 3.4034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4934 loss: 2.4934 2022/08/15 08:29:38 - mmengine - INFO - Epoch(train) [158][1800/3757] lr: 3.2579e-02 eta: 1 day, 5:27:02 time: 0.2869 data_time: 0.0163 memory: 6332 grad_norm: 3.4220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4497 loss: 2.4497 2022/08/15 08:30:07 - mmengine - INFO - Epoch(train) [158][1900/3757] lr: 3.2579e-02 eta: 1 day, 5:26:33 time: 0.2863 data_time: 0.0160 memory: 6332 grad_norm: 3.3497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7893 loss: 2.7893 2022/08/15 08:30:36 - mmengine - INFO - Epoch(train) [158][2000/3757] lr: 3.2579e-02 eta: 1 day, 5:26:05 time: 0.2888 data_time: 0.0174 memory: 6332 grad_norm: 3.3150 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3756 loss: 2.3756 2022/08/15 08:31:05 - mmengine - INFO - Epoch(train) [158][2100/3757] lr: 3.2579e-02 eta: 1 day, 5:25:37 time: 0.2839 data_time: 0.0168 memory: 6332 grad_norm: 3.4603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6891 loss: 2.6891 2022/08/15 08:31:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:31:33 - mmengine - INFO - Epoch(train) [158][2200/3757] lr: 3.2579e-02 eta: 1 day, 5:25:09 time: 0.2852 data_time: 0.0151 memory: 6332 grad_norm: 3.3223 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3809 loss: 2.3809 2022/08/15 08:32:02 - mmengine - INFO - Epoch(train) [158][2300/3757] lr: 3.2579e-02 eta: 1 day, 5:24:40 time: 0.2852 data_time: 0.0166 memory: 6332 grad_norm: 3.3487 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5843 loss: 2.5843 2022/08/15 08:32:31 - mmengine - INFO - Epoch(train) [158][2400/3757] lr: 3.2579e-02 eta: 1 day, 5:24:12 time: 0.2865 data_time: 0.0166 memory: 6332 grad_norm: 3.3879 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4295 loss: 2.4295 2022/08/15 08:33:00 - mmengine - INFO - Epoch(train) [158][2500/3757] lr: 3.2579e-02 eta: 1 day, 5:23:44 time: 0.2854 data_time: 0.0156 memory: 6332 grad_norm: 3.3731 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6259 loss: 2.6259 2022/08/15 08:33:29 - mmengine - INFO - Epoch(train) [158][2600/3757] lr: 3.2579e-02 eta: 1 day, 5:23:15 time: 0.2864 data_time: 0.0149 memory: 6332 grad_norm: 3.3819 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4450 loss: 2.4450 2022/08/15 08:33:58 - mmengine - INFO - Epoch(train) [158][2700/3757] lr: 3.2579e-02 eta: 1 day, 5:22:47 time: 0.2865 data_time: 0.0156 memory: 6332 grad_norm: 3.3987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7559 loss: 2.7559 2022/08/15 08:34:27 - mmengine - INFO - Epoch(train) [158][2800/3757] lr: 3.2579e-02 eta: 1 day, 5:22:18 time: 0.2858 data_time: 0.0154 memory: 6332 grad_norm: 3.3880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/08/15 08:34:56 - mmengine - INFO - Epoch(train) [158][2900/3757] lr: 3.2579e-02 eta: 1 day, 5:21:50 time: 0.2888 data_time: 0.0160 memory: 6332 grad_norm: 3.4345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5600 loss: 2.5600 2022/08/15 08:35:25 - mmengine - INFO - Epoch(train) [158][3000/3757] lr: 3.2579e-02 eta: 1 day, 5:21:21 time: 0.2858 data_time: 0.0159 memory: 6332 grad_norm: 3.3653 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8741 loss: 2.8741 2022/08/15 08:35:54 - mmengine - INFO - Epoch(train) [158][3100/3757] lr: 3.2579e-02 eta: 1 day, 5:20:52 time: 0.2840 data_time: 0.0153 memory: 6332 grad_norm: 3.3259 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3799 loss: 2.3799 2022/08/15 08:36:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:36:23 - mmengine - INFO - Epoch(train) [158][3200/3757] lr: 3.2579e-02 eta: 1 day, 5:20:24 time: 0.2859 data_time: 0.0146 memory: 6332 grad_norm: 3.3953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4942 loss: 2.4942 2022/08/15 08:36:52 - mmengine - INFO - Epoch(train) [158][3300/3757] lr: 3.2579e-02 eta: 1 day, 5:19:56 time: 0.2864 data_time: 0.0158 memory: 6332 grad_norm: 3.3744 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4759 loss: 2.4759 2022/08/15 08:37:20 - mmengine - INFO - Epoch(train) [158][3400/3757] lr: 3.2579e-02 eta: 1 day, 5:19:27 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 3.3333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9349 loss: 2.9349 2022/08/15 08:37:49 - mmengine - INFO - Epoch(train) [158][3500/3757] lr: 3.2579e-02 eta: 1 day, 5:18:59 time: 0.2886 data_time: 0.0166 memory: 6332 grad_norm: 3.2573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5103 loss: 2.5103 2022/08/15 08:38:18 - mmengine - INFO - Epoch(train) [158][3600/3757] lr: 3.2579e-02 eta: 1 day, 5:18:31 time: 0.2843 data_time: 0.0153 memory: 6332 grad_norm: 3.3506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4521 loss: 2.4521 2022/08/15 08:38:47 - mmengine - INFO - Epoch(train) [158][3700/3757] lr: 3.2579e-02 eta: 1 day, 5:18:02 time: 0.2885 data_time: 0.0174 memory: 6332 grad_norm: 3.3950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6330 loss: 2.6330 2022/08/15 08:39:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:39:03 - mmengine - INFO - Epoch(train) [158][3757/3757] lr: 3.2579e-02 eta: 1 day, 5:17:51 time: 0.2643 data_time: 0.0145 memory: 6332 grad_norm: 3.3653 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.4397 loss: 2.4397 2022/08/15 08:39:34 - mmengine - INFO - Epoch(train) [159][100/3757] lr: 3.2005e-02 eta: 1 day, 5:17:07 time: 0.2847 data_time: 0.0154 memory: 6332 grad_norm: 3.3790 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3514 loss: 2.3514 2022/08/15 08:40:03 - mmengine - INFO - Epoch(train) [159][200/3757] lr: 3.2005e-02 eta: 1 day, 5:16:39 time: 0.2876 data_time: 0.0169 memory: 6332 grad_norm: 3.2181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1346 loss: 2.1346 2022/08/15 08:40:32 - mmengine - INFO - Epoch(train) [159][300/3757] lr: 3.2005e-02 eta: 1 day, 5:16:11 time: 0.2879 data_time: 0.0162 memory: 6332 grad_norm: 3.4351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3364 loss: 2.3364 2022/08/15 08:41:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:41:01 - mmengine - INFO - Epoch(train) [159][400/3757] lr: 3.2005e-02 eta: 1 day, 5:15:43 time: 0.2872 data_time: 0.0166 memory: 6332 grad_norm: 3.4589 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7477 loss: 2.7477 2022/08/15 08:41:30 - mmengine - INFO - Epoch(train) [159][500/3757] lr: 3.2005e-02 eta: 1 day, 5:15:14 time: 0.2856 data_time: 0.0156 memory: 6332 grad_norm: 3.5392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5253 loss: 2.5253 2022/08/15 08:41:59 - mmengine - INFO - Epoch(train) [159][600/3757] lr: 3.2005e-02 eta: 1 day, 5:14:46 time: 0.2891 data_time: 0.0171 memory: 6332 grad_norm: 3.4058 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6466 loss: 2.6466 2022/08/15 08:42:28 - mmengine - INFO - Epoch(train) [159][700/3757] lr: 3.2005e-02 eta: 1 day, 5:14:17 time: 0.2865 data_time: 0.0165 memory: 6332 grad_norm: 3.3288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5599 loss: 2.5599 2022/08/15 08:42:57 - mmengine - INFO - Epoch(train) [159][800/3757] lr: 3.2005e-02 eta: 1 day, 5:13:49 time: 0.2874 data_time: 0.0175 memory: 6332 grad_norm: 3.4239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6994 loss: 2.6994 2022/08/15 08:43:26 - mmengine - INFO - Epoch(train) [159][900/3757] lr: 3.2005e-02 eta: 1 day, 5:13:20 time: 0.2854 data_time: 0.0163 memory: 6332 grad_norm: 3.3364 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6399 loss: 2.6399 2022/08/15 08:43:55 - mmengine - INFO - Epoch(train) [159][1000/3757] lr: 3.2005e-02 eta: 1 day, 5:12:52 time: 0.2863 data_time: 0.0157 memory: 6332 grad_norm: 3.3547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5114 loss: 2.5114 2022/08/15 08:44:24 - mmengine - INFO - Epoch(train) [159][1100/3757] lr: 3.2005e-02 eta: 1 day, 5:12:23 time: 0.2861 data_time: 0.0165 memory: 6332 grad_norm: 3.3633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5199 loss: 2.5199 2022/08/15 08:44:53 - mmengine - INFO - Epoch(train) [159][1200/3757] lr: 3.2005e-02 eta: 1 day, 5:11:55 time: 0.2852 data_time: 0.0162 memory: 6332 grad_norm: 3.2911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5775 loss: 2.5775 2022/08/15 08:45:22 - mmengine - INFO - Epoch(train) [159][1300/3757] lr: 3.2005e-02 eta: 1 day, 5:11:27 time: 0.2869 data_time: 0.0166 memory: 6332 grad_norm: 3.3758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7869 loss: 2.7869 2022/08/15 08:45:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:45:51 - mmengine - INFO - Epoch(train) [159][1400/3757] lr: 3.2005e-02 eta: 1 day, 5:10:58 time: 0.2863 data_time: 0.0160 memory: 6332 grad_norm: 3.4565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6233 loss: 2.6233 2022/08/15 08:46:19 - mmengine - INFO - Epoch(train) [159][1500/3757] lr: 3.2005e-02 eta: 1 day, 5:10:30 time: 0.2892 data_time: 0.0170 memory: 6332 grad_norm: 3.4543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5061 loss: 2.5061 2022/08/15 08:46:48 - mmengine - INFO - Epoch(train) [159][1600/3757] lr: 3.2005e-02 eta: 1 day, 5:10:01 time: 0.2844 data_time: 0.0158 memory: 6332 grad_norm: 3.4667 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3332 loss: 2.3332 2022/08/15 08:47:18 - mmengine - INFO - Epoch(train) [159][1700/3757] lr: 3.2005e-02 eta: 1 day, 5:09:34 time: 0.2983 data_time: 0.0161 memory: 6332 grad_norm: 3.5027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6173 loss: 2.6173 2022/08/15 08:47:47 - mmengine - INFO - Epoch(train) [159][1800/3757] lr: 3.2005e-02 eta: 1 day, 5:09:06 time: 0.2857 data_time: 0.0159 memory: 6332 grad_norm: 3.4738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3566 loss: 2.3566 2022/08/15 08:48:15 - mmengine - INFO - Epoch(train) [159][1900/3757] lr: 3.2005e-02 eta: 1 day, 5:08:37 time: 0.2862 data_time: 0.0154 memory: 6332 grad_norm: 3.3873 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3065 loss: 2.3065 2022/08/15 08:48:44 - mmengine - INFO - Epoch(train) [159][2000/3757] lr: 3.2005e-02 eta: 1 day, 5:08:09 time: 0.2857 data_time: 0.0167 memory: 6332 grad_norm: 3.2058 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4689 loss: 2.4689 2022/08/15 08:49:13 - mmengine - INFO - Epoch(train) [159][2100/3757] lr: 3.2005e-02 eta: 1 day, 5:07:41 time: 0.2870 data_time: 0.0146 memory: 6332 grad_norm: 3.3915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6022 loss: 2.6022 2022/08/15 08:49:42 - mmengine - INFO - Epoch(train) [159][2200/3757] lr: 3.2005e-02 eta: 1 day, 5:07:12 time: 0.2853 data_time: 0.0165 memory: 6332 grad_norm: 3.3715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9112 loss: 2.9112 2022/08/15 08:50:11 - mmengine - INFO - Epoch(train) [159][2300/3757] lr: 3.2005e-02 eta: 1 day, 5:06:44 time: 0.2863 data_time: 0.0169 memory: 6332 grad_norm: 3.4293 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4214 loss: 2.4214 2022/08/15 08:50:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:50:40 - mmengine - INFO - Epoch(train) [159][2400/3757] lr: 3.2005e-02 eta: 1 day, 5:06:15 time: 0.2864 data_time: 0.0177 memory: 6332 grad_norm: 3.3452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5531 loss: 2.5531 2022/08/15 08:51:09 - mmengine - INFO - Epoch(train) [159][2500/3757] lr: 3.2005e-02 eta: 1 day, 5:05:46 time: 0.2859 data_time: 0.0152 memory: 6332 grad_norm: 3.3685 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5951 loss: 2.5951 2022/08/15 08:51:38 - mmengine - INFO - Epoch(train) [159][2600/3757] lr: 3.2005e-02 eta: 1 day, 5:05:18 time: 0.2863 data_time: 0.0175 memory: 6332 grad_norm: 3.3738 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4423 loss: 2.4423 2022/08/15 08:52:07 - mmengine - INFO - Epoch(train) [159][2700/3757] lr: 3.2005e-02 eta: 1 day, 5:04:50 time: 0.2848 data_time: 0.0154 memory: 6332 grad_norm: 3.3960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/08/15 08:52:36 - mmengine - INFO - Epoch(train) [159][2800/3757] lr: 3.2005e-02 eta: 1 day, 5:04:21 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.4975 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9621 loss: 2.9621 2022/08/15 08:53:05 - mmengine - INFO - Epoch(train) [159][2900/3757] lr: 3.2005e-02 eta: 1 day, 5:03:53 time: 0.2861 data_time: 0.0158 memory: 6332 grad_norm: 3.3406 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3924 loss: 2.3924 2022/08/15 08:53:34 - mmengine - INFO - Epoch(train) [159][3000/3757] lr: 3.2005e-02 eta: 1 day, 5:03:25 time: 0.2864 data_time: 0.0165 memory: 6332 grad_norm: 3.4225 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6479 loss: 2.6479 2022/08/15 08:54:03 - mmengine - INFO - Epoch(train) [159][3100/3757] lr: 3.2005e-02 eta: 1 day, 5:02:57 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 3.3219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3137 loss: 2.3137 2022/08/15 08:54:32 - mmengine - INFO - Epoch(train) [159][3200/3757] lr: 3.2005e-02 eta: 1 day, 5:02:29 time: 0.2880 data_time: 0.0154 memory: 6332 grad_norm: 3.4891 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5910 loss: 2.5910 2022/08/15 08:55:01 - mmengine - INFO - Epoch(train) [159][3300/3757] lr: 3.2005e-02 eta: 1 day, 5:02:00 time: 0.2882 data_time: 0.0173 memory: 6332 grad_norm: 3.4497 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4674 loss: 2.4674 2022/08/15 08:55:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:55:30 - mmengine - INFO - Epoch(train) [159][3400/3757] lr: 3.2005e-02 eta: 1 day, 5:01:32 time: 0.2893 data_time: 0.0184 memory: 6332 grad_norm: 3.3884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5770 loss: 2.5770 2022/08/15 08:55:58 - mmengine - INFO - Epoch(train) [159][3500/3757] lr: 3.2005e-02 eta: 1 day, 5:01:03 time: 0.2864 data_time: 0.0161 memory: 6332 grad_norm: 3.3515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6234 loss: 2.6234 2022/08/15 08:56:27 - mmengine - INFO - Epoch(train) [159][3600/3757] lr: 3.2005e-02 eta: 1 day, 5:00:35 time: 0.2869 data_time: 0.0157 memory: 6332 grad_norm: 3.3200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5872 loss: 2.5872 2022/08/15 08:56:56 - mmengine - INFO - Epoch(train) [159][3700/3757] lr: 3.2005e-02 eta: 1 day, 5:00:07 time: 0.2877 data_time: 0.0160 memory: 6332 grad_norm: 3.3743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8217 loss: 2.8217 2022/08/15 08:57:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 08:57:12 - mmengine - INFO - Epoch(train) [159][3757/3757] lr: 3.2005e-02 eta: 1 day, 4:59:56 time: 0.2672 data_time: 0.0144 memory: 6332 grad_norm: 3.4301 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.5535 loss: 2.5535 2022/08/15 08:57:43 - mmengine - INFO - Epoch(train) [160][100/3757] lr: 3.1434e-02 eta: 1 day, 4:59:12 time: 0.2890 data_time: 0.0161 memory: 6332 grad_norm: 3.2342 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3383 loss: 2.3383 2022/08/15 08:58:12 - mmengine - INFO - Epoch(train) [160][200/3757] lr: 3.1434e-02 eta: 1 day, 4:58:43 time: 0.2879 data_time: 0.0164 memory: 6332 grad_norm: 3.4146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5486 loss: 2.5486 2022/08/15 08:58:41 - mmengine - INFO - Epoch(train) [160][300/3757] lr: 3.1434e-02 eta: 1 day, 4:58:15 time: 0.2873 data_time: 0.0165 memory: 6332 grad_norm: 3.3641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6247 loss: 2.6247 2022/08/15 08:59:10 - mmengine - INFO - Epoch(train) [160][400/3757] lr: 3.1434e-02 eta: 1 day, 4:57:47 time: 0.2867 data_time: 0.0155 memory: 6332 grad_norm: 3.3496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5887 loss: 2.5887 2022/08/15 08:59:39 - mmengine - INFO - Epoch(train) [160][500/3757] lr: 3.1434e-02 eta: 1 day, 4:57:18 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 3.2581 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6988 loss: 2.6988 2022/08/15 09:00:08 - mmengine - INFO - Epoch(train) [160][600/3757] lr: 3.1434e-02 eta: 1 day, 4:56:50 time: 0.2893 data_time: 0.0188 memory: 6332 grad_norm: 3.4115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4234 loss: 2.4234 2022/08/15 09:00:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:00:37 - mmengine - INFO - Epoch(train) [160][700/3757] lr: 3.1434e-02 eta: 1 day, 4:56:21 time: 0.2840 data_time: 0.0162 memory: 6332 grad_norm: 3.4458 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5925 loss: 2.5925 2022/08/15 09:01:06 - mmengine - INFO - Epoch(train) [160][800/3757] lr: 3.1434e-02 eta: 1 day, 4:55:53 time: 0.2848 data_time: 0.0159 memory: 6332 grad_norm: 3.4100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5332 loss: 2.5332 2022/08/15 09:01:35 - mmengine - INFO - Epoch(train) [160][900/3757] lr: 3.1434e-02 eta: 1 day, 4:55:24 time: 0.2838 data_time: 0.0156 memory: 6332 grad_norm: 3.4383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4672 loss: 2.4672 2022/08/15 09:02:04 - mmengine - INFO - Epoch(train) [160][1000/3757] lr: 3.1434e-02 eta: 1 day, 4:54:56 time: 0.2850 data_time: 0.0151 memory: 6332 grad_norm: 3.3513 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4848 loss: 2.4848 2022/08/15 09:02:32 - mmengine - INFO - Epoch(train) [160][1100/3757] lr: 3.1434e-02 eta: 1 day, 4:54:27 time: 0.2890 data_time: 0.0170 memory: 6332 grad_norm: 3.4833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6412 loss: 2.6412 2022/08/15 09:03:01 - mmengine - INFO - Epoch(train) [160][1200/3757] lr: 3.1434e-02 eta: 1 day, 4:53:59 time: 0.2871 data_time: 0.0151 memory: 6332 grad_norm: 3.2638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8129 loss: 2.8129 2022/08/15 09:03:30 - mmengine - INFO - Epoch(train) [160][1300/3757] lr: 3.1434e-02 eta: 1 day, 4:53:30 time: 0.2841 data_time: 0.0156 memory: 6332 grad_norm: 3.5113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5640 loss: 2.5640 2022/08/15 09:03:59 - mmengine - INFO - Epoch(train) [160][1400/3757] lr: 3.1434e-02 eta: 1 day, 4:53:02 time: 0.2881 data_time: 0.0167 memory: 6332 grad_norm: 3.4095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5725 loss: 2.5725 2022/08/15 09:04:28 - mmengine - INFO - Epoch(train) [160][1500/3757] lr: 3.1434e-02 eta: 1 day, 4:52:33 time: 0.2872 data_time: 0.0157 memory: 6332 grad_norm: 3.5067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6137 loss: 2.6137 2022/08/15 09:04:57 - mmengine - INFO - Epoch(train) [160][1600/3757] lr: 3.1434e-02 eta: 1 day, 4:52:05 time: 0.2847 data_time: 0.0161 memory: 6332 grad_norm: 3.4054 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.4455 loss: 2.4455 2022/08/15 09:05:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:05:26 - mmengine - INFO - Epoch(train) [160][1700/3757] lr: 3.1434e-02 eta: 1 day, 4:51:36 time: 0.2859 data_time: 0.0158 memory: 6332 grad_norm: 3.4399 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4989 loss: 2.4989 2022/08/15 09:05:55 - mmengine - INFO - Epoch(train) [160][1800/3757] lr: 3.1434e-02 eta: 1 day, 4:51:08 time: 0.2851 data_time: 0.0164 memory: 6332 grad_norm: 3.5305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5524 loss: 2.5524 2022/08/15 09:06:24 - mmengine - INFO - Epoch(train) [160][1900/3757] lr: 3.1434e-02 eta: 1 day, 4:50:39 time: 0.2857 data_time: 0.0158 memory: 6332 grad_norm: 3.3581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3393 loss: 2.3393 2022/08/15 09:06:53 - mmengine - INFO - Epoch(train) [160][2000/3757] lr: 3.1434e-02 eta: 1 day, 4:50:11 time: 0.2862 data_time: 0.0156 memory: 6332 grad_norm: 3.3627 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4861 loss: 2.4861 2022/08/15 09:07:22 - mmengine - INFO - Epoch(train) [160][2100/3757] lr: 3.1434e-02 eta: 1 day, 4:49:43 time: 0.2886 data_time: 0.0167 memory: 6332 grad_norm: 3.3957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5329 loss: 2.5329 2022/08/15 09:07:51 - mmengine - INFO - Epoch(train) [160][2200/3757] lr: 3.1434e-02 eta: 1 day, 4:49:15 time: 0.2871 data_time: 0.0155 memory: 6332 grad_norm: 3.5106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7309 loss: 2.7309 2022/08/15 09:08:20 - mmengine - INFO - Epoch(train) [160][2300/3757] lr: 3.1434e-02 eta: 1 day, 4:48:47 time: 0.2941 data_time: 0.0171 memory: 6332 grad_norm: 3.3870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7745 loss: 2.7745 2022/08/15 09:08:49 - mmengine - INFO - Epoch(train) [160][2400/3757] lr: 3.1434e-02 eta: 1 day, 4:48:18 time: 0.2856 data_time: 0.0157 memory: 6332 grad_norm: 3.3606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4760 loss: 2.4760 2022/08/15 09:09:18 - mmengine - INFO - Epoch(train) [160][2500/3757] lr: 3.1434e-02 eta: 1 day, 4:47:50 time: 0.2876 data_time: 0.0165 memory: 6332 grad_norm: 3.4069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5510 loss: 2.5510 2022/08/15 09:09:47 - mmengine - INFO - Epoch(train) [160][2600/3757] lr: 3.1434e-02 eta: 1 day, 4:47:22 time: 0.2858 data_time: 0.0151 memory: 6332 grad_norm: 3.5112 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4671 loss: 2.4671 2022/08/15 09:09:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:10:16 - mmengine - INFO - Epoch(train) [160][2700/3757] lr: 3.1434e-02 eta: 1 day, 4:46:54 time: 0.2849 data_time: 0.0159 memory: 6332 grad_norm: 3.4590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6162 loss: 2.6162 2022/08/15 09:10:45 - mmengine - INFO - Epoch(train) [160][2800/3757] lr: 3.1434e-02 eta: 1 day, 4:46:26 time: 0.2884 data_time: 0.0162 memory: 6332 grad_norm: 3.3320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4324 loss: 2.4324 2022/08/15 09:11:14 - mmengine - INFO - Epoch(train) [160][2900/3757] lr: 3.1434e-02 eta: 1 day, 4:45:58 time: 0.2862 data_time: 0.0161 memory: 6332 grad_norm: 3.3170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6626 loss: 2.6626 2022/08/15 09:11:43 - mmengine - INFO - Epoch(train) [160][3000/3757] lr: 3.1434e-02 eta: 1 day, 4:45:30 time: 0.2890 data_time: 0.0180 memory: 6332 grad_norm: 3.3300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6913 loss: 2.6913 2022/08/15 09:12:12 - mmengine - INFO - Epoch(train) [160][3100/3757] lr: 3.1434e-02 eta: 1 day, 4:45:03 time: 0.2857 data_time: 0.0163 memory: 6332 grad_norm: 3.4877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2934 loss: 2.2934 2022/08/15 09:12:41 - mmengine - INFO - Epoch(train) [160][3200/3757] lr: 3.1434e-02 eta: 1 day, 4:44:34 time: 0.2868 data_time: 0.0154 memory: 6332 grad_norm: 3.3007 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7645 loss: 2.7645 2022/08/15 09:13:10 - mmengine - INFO - Epoch(train) [160][3300/3757] lr: 3.1434e-02 eta: 1 day, 4:44:06 time: 0.2869 data_time: 0.0157 memory: 6332 grad_norm: 3.3778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4901 loss: 2.4901 2022/08/15 09:13:39 - mmengine - INFO - Epoch(train) [160][3400/3757] lr: 3.1434e-02 eta: 1 day, 4:43:37 time: 0.2845 data_time: 0.0147 memory: 6332 grad_norm: 3.4211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4461 loss: 2.4461 2022/08/15 09:14:08 - mmengine - INFO - Epoch(train) [160][3500/3757] lr: 3.1434e-02 eta: 1 day, 4:43:09 time: 0.2870 data_time: 0.0155 memory: 6332 grad_norm: 3.4336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5139 loss: 2.5139 2022/08/15 09:14:37 - mmengine - INFO - Epoch(train) [160][3600/3757] lr: 3.1434e-02 eta: 1 day, 4:42:41 time: 0.2869 data_time: 0.0163 memory: 6332 grad_norm: 3.4594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2595 loss: 2.2595 2022/08/15 09:14:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:15:06 - mmengine - INFO - Epoch(train) [160][3700/3757] lr: 3.1434e-02 eta: 1 day, 4:42:12 time: 0.2853 data_time: 0.0149 memory: 6332 grad_norm: 3.4657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4086 loss: 2.4086 2022/08/15 09:15:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:15:22 - mmengine - INFO - Epoch(train) [160][3757/3757] lr: 3.1434e-02 eta: 1 day, 4:42:01 time: 0.2651 data_time: 0.0144 memory: 6332 grad_norm: 3.4078 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.6522 loss: 2.6522 2022/08/15 09:15:22 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/15 09:15:49 - mmengine - INFO - Epoch(val) [160][100/310] eta: 0:00:45 time: 0.2185 data_time: 0.1218 memory: 1147 2022/08/15 09:16:11 - mmengine - INFO - Epoch(val) [160][200/310] eta: 0:00:22 time: 0.2028 data_time: 0.1098 memory: 1147 2022/08/15 09:16:31 - mmengine - INFO - Epoch(val) [160][300/310] eta: 0:00:01 time: 0.1472 data_time: 0.0714 memory: 1147 2022/08/15 09:16:34 - mmengine - INFO - Epoch(val) [160][310/310] acc/top1: 0.4905 acc/top5: 0.7596 acc/mean1: 0.4904 2022/08/15 09:17:05 - mmengine - INFO - Epoch(train) [161][100/3757] lr: 3.0866e-02 eta: 1 day, 4:41:18 time: 0.2855 data_time: 0.0178 memory: 6332 grad_norm: 3.5120 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.5567 loss: 2.5567 2022/08/15 09:17:34 - mmengine - INFO - Epoch(train) [161][200/3757] lr: 3.0866e-02 eta: 1 day, 4:40:51 time: 0.2856 data_time: 0.0166 memory: 6332 grad_norm: 3.3683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3832 loss: 2.3832 2022/08/15 09:18:03 - mmengine - INFO - Epoch(train) [161][300/3757] lr: 3.0866e-02 eta: 1 day, 4:40:22 time: 0.2861 data_time: 0.0174 memory: 6332 grad_norm: 3.4547 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2548 loss: 2.2548 2022/08/15 09:18:32 - mmengine - INFO - Epoch(train) [161][400/3757] lr: 3.0866e-02 eta: 1 day, 4:39:54 time: 0.2855 data_time: 0.0162 memory: 6332 grad_norm: 3.4876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4809 loss: 2.4809 2022/08/15 09:19:01 - mmengine - INFO - Epoch(train) [161][500/3757] lr: 3.0866e-02 eta: 1 day, 4:39:25 time: 0.2902 data_time: 0.0176 memory: 6332 grad_norm: 3.6537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7264 loss: 2.7264 2022/08/15 09:19:30 - mmengine - INFO - Epoch(train) [161][600/3757] lr: 3.0866e-02 eta: 1 day, 4:38:57 time: 0.2842 data_time: 0.0157 memory: 6332 grad_norm: 3.4505 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4024 loss: 2.4024 2022/08/15 09:19:58 - mmengine - INFO - Epoch(train) [161][700/3757] lr: 3.0866e-02 eta: 1 day, 4:38:28 time: 0.2857 data_time: 0.0158 memory: 6332 grad_norm: 3.3697 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6186 loss: 2.6186 2022/08/15 09:20:27 - mmengine - INFO - Epoch(train) [161][800/3757] lr: 3.0866e-02 eta: 1 day, 4:38:00 time: 0.2858 data_time: 0.0161 memory: 6332 grad_norm: 3.4130 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7475 loss: 2.7475 2022/08/15 09:20:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:20:56 - mmengine - INFO - Epoch(train) [161][900/3757] lr: 3.0866e-02 eta: 1 day, 4:37:31 time: 0.2855 data_time: 0.0170 memory: 6332 grad_norm: 3.4590 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7328 loss: 2.7328 2022/08/15 09:21:25 - mmengine - INFO - Epoch(train) [161][1000/3757] lr: 3.0866e-02 eta: 1 day, 4:37:03 time: 0.2859 data_time: 0.0182 memory: 6332 grad_norm: 3.4334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6747 loss: 2.6747 2022/08/15 09:21:54 - mmengine - INFO - Epoch(train) [161][1100/3757] lr: 3.0866e-02 eta: 1 day, 4:36:34 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 3.5109 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3519 loss: 2.3519 2022/08/15 09:22:23 - mmengine - INFO - Epoch(train) [161][1200/3757] lr: 3.0866e-02 eta: 1 day, 4:36:06 time: 0.2857 data_time: 0.0176 memory: 6332 grad_norm: 3.4082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5738 loss: 2.5738 2022/08/15 09:22:52 - mmengine - INFO - Epoch(train) [161][1300/3757] lr: 3.0866e-02 eta: 1 day, 4:35:37 time: 0.2861 data_time: 0.0169 memory: 6332 grad_norm: 3.2320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4073 loss: 2.4073 2022/08/15 09:23:21 - mmengine - INFO - Epoch(train) [161][1400/3757] lr: 3.0866e-02 eta: 1 day, 4:35:09 time: 0.2848 data_time: 0.0164 memory: 6332 grad_norm: 3.4402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5249 loss: 2.5249 2022/08/15 09:23:50 - mmengine - INFO - Epoch(train) [161][1500/3757] lr: 3.0866e-02 eta: 1 day, 4:34:40 time: 0.2854 data_time: 0.0167 memory: 6332 grad_norm: 3.3993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4042 loss: 2.4042 2022/08/15 09:24:19 - mmengine - INFO - Epoch(train) [161][1600/3757] lr: 3.0866e-02 eta: 1 day, 4:34:12 time: 0.2861 data_time: 0.0158 memory: 6332 grad_norm: 3.4080 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3299 loss: 2.3299 2022/08/15 09:24:48 - mmengine - INFO - Epoch(train) [161][1700/3757] lr: 3.0866e-02 eta: 1 day, 4:33:44 time: 0.2862 data_time: 0.0174 memory: 6332 grad_norm: 3.4487 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4926 loss: 2.4926 2022/08/15 09:25:17 - mmengine - INFO - Epoch(train) [161][1800/3757] lr: 3.0866e-02 eta: 1 day, 4:33:16 time: 0.2852 data_time: 0.0159 memory: 6332 grad_norm: 3.4293 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.6081 loss: 2.6081 2022/08/15 09:25:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:25:46 - mmengine - INFO - Epoch(train) [161][1900/3757] lr: 3.0866e-02 eta: 1 day, 4:32:47 time: 0.2863 data_time: 0.0168 memory: 6332 grad_norm: 3.3860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2685 loss: 2.2685 2022/08/15 09:26:15 - mmengine - INFO - Epoch(train) [161][2000/3757] lr: 3.0866e-02 eta: 1 day, 4:32:19 time: 0.2880 data_time: 0.0176 memory: 6332 grad_norm: 3.4981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5890 loss: 2.5890 2022/08/15 09:26:44 - mmengine - INFO - Epoch(train) [161][2100/3757] lr: 3.0866e-02 eta: 1 day, 4:31:51 time: 0.2878 data_time: 0.0173 memory: 6332 grad_norm: 3.5164 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1409 loss: 2.1409 2022/08/15 09:27:13 - mmengine - INFO - Epoch(train) [161][2200/3757] lr: 3.0866e-02 eta: 1 day, 4:31:23 time: 0.2861 data_time: 0.0173 memory: 6332 grad_norm: 3.3653 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3176 loss: 2.3176 2022/08/15 09:27:42 - mmengine - INFO - Epoch(train) [161][2300/3757] lr: 3.0866e-02 eta: 1 day, 4:30:55 time: 0.2851 data_time: 0.0175 memory: 6332 grad_norm: 3.4377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7277 loss: 2.7277 2022/08/15 09:28:11 - mmengine - INFO - Epoch(train) [161][2400/3757] lr: 3.0866e-02 eta: 1 day, 4:30:26 time: 0.2847 data_time: 0.0167 memory: 6332 grad_norm: 3.4746 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5969 loss: 2.5969 2022/08/15 09:28:39 - mmengine - INFO - Epoch(train) [161][2500/3757] lr: 3.0866e-02 eta: 1 day, 4:29:58 time: 0.2851 data_time: 0.0161 memory: 6332 grad_norm: 3.4007 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7177 loss: 2.7177 2022/08/15 09:29:09 - mmengine - INFO - Epoch(train) [161][2600/3757] lr: 3.0866e-02 eta: 1 day, 4:29:30 time: 0.2849 data_time: 0.0173 memory: 6332 grad_norm: 3.4802 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6949 loss: 2.6949 2022/08/15 09:29:37 - mmengine - INFO - Epoch(train) [161][2700/3757] lr: 3.0866e-02 eta: 1 day, 4:29:01 time: 0.2839 data_time: 0.0178 memory: 6332 grad_norm: 3.3228 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4653 loss: 2.4653 2022/08/15 09:30:06 - mmengine - INFO - Epoch(train) [161][2800/3757] lr: 3.0866e-02 eta: 1 day, 4:28:33 time: 0.2875 data_time: 0.0167 memory: 6332 grad_norm: 3.4180 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4281 loss: 2.4281 2022/08/15 09:30:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:30:35 - mmengine - INFO - Epoch(train) [161][2900/3757] lr: 3.0866e-02 eta: 1 day, 4:28:04 time: 0.2864 data_time: 0.0175 memory: 6332 grad_norm: 3.3680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7539 loss: 2.7539 2022/08/15 09:31:04 - mmengine - INFO - Epoch(train) [161][3000/3757] lr: 3.0866e-02 eta: 1 day, 4:27:36 time: 0.2872 data_time: 0.0170 memory: 6332 grad_norm: 3.3190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5574 loss: 2.5574 2022/08/15 09:31:33 - mmengine - INFO - Epoch(train) [161][3100/3757] lr: 3.0866e-02 eta: 1 day, 4:27:08 time: 0.2908 data_time: 0.0162 memory: 6332 grad_norm: 3.3689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6581 loss: 2.6581 2022/08/15 09:32:02 - mmengine - INFO - Epoch(train) [161][3200/3757] lr: 3.0866e-02 eta: 1 day, 4:26:39 time: 0.2876 data_time: 0.0175 memory: 6332 grad_norm: 3.4598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9574 loss: 2.9574 2022/08/15 09:32:31 - mmengine - INFO - Epoch(train) [161][3300/3757] lr: 3.0866e-02 eta: 1 day, 4:26:11 time: 0.2870 data_time: 0.0172 memory: 6332 grad_norm: 3.5918 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7257 loss: 2.7257 2022/08/15 09:33:00 - mmengine - INFO - Epoch(train) [161][3400/3757] lr: 3.0866e-02 eta: 1 day, 4:25:43 time: 0.2847 data_time: 0.0169 memory: 6332 grad_norm: 3.5450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6829 loss: 2.6829 2022/08/15 09:33:29 - mmengine - INFO - Epoch(train) [161][3500/3757] lr: 3.0866e-02 eta: 1 day, 4:25:15 time: 0.2844 data_time: 0.0162 memory: 6332 grad_norm: 3.5137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6845 loss: 2.6845 2022/08/15 09:33:58 - mmengine - INFO - Epoch(train) [161][3600/3757] lr: 3.0866e-02 eta: 1 day, 4:24:47 time: 0.2909 data_time: 0.0187 memory: 6332 grad_norm: 3.4354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5021 loss: 2.5021 2022/08/15 09:34:27 - mmengine - INFO - Epoch(train) [161][3700/3757] lr: 3.0866e-02 eta: 1 day, 4:24:19 time: 0.2876 data_time: 0.0179 memory: 6332 grad_norm: 3.4059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5931 loss: 2.5931 2022/08/15 09:34:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:34:43 - mmengine - INFO - Epoch(train) [161][3757/3757] lr: 3.0866e-02 eta: 1 day, 4:24:07 time: 0.2667 data_time: 0.0152 memory: 6332 grad_norm: 3.3497 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.5820 loss: 2.5820 2022/08/15 09:35:15 - mmengine - INFO - Epoch(train) [162][100/3757] lr: 3.0300e-02 eta: 1 day, 4:23:26 time: 0.2853 data_time: 0.0167 memory: 6332 grad_norm: 3.5194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4744 loss: 2.4744 2022/08/15 09:35:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:35:44 - mmengine - INFO - Epoch(train) [162][200/3757] lr: 3.0300e-02 eta: 1 day, 4:22:57 time: 0.2879 data_time: 0.0172 memory: 6332 grad_norm: 3.4731 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5998 loss: 2.5998 2022/08/15 09:36:13 - mmengine - INFO - Epoch(train) [162][300/3757] lr: 3.0300e-02 eta: 1 day, 4:22:29 time: 0.2884 data_time: 0.0169 memory: 6332 grad_norm: 3.4099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3661 loss: 2.3661 2022/08/15 09:36:42 - mmengine - INFO - Epoch(train) [162][400/3757] lr: 3.0300e-02 eta: 1 day, 4:22:01 time: 0.2866 data_time: 0.0182 memory: 6332 grad_norm: 3.4211 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8861 loss: 2.8861 2022/08/15 09:37:11 - mmengine - INFO - Epoch(train) [162][500/3757] lr: 3.0300e-02 eta: 1 day, 4:21:32 time: 0.2855 data_time: 0.0172 memory: 6332 grad_norm: 3.4401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4628 loss: 2.4628 2022/08/15 09:37:39 - mmengine - INFO - Epoch(train) [162][600/3757] lr: 3.0300e-02 eta: 1 day, 4:21:04 time: 0.2855 data_time: 0.0159 memory: 6332 grad_norm: 3.4307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4572 loss: 2.4572 2022/08/15 09:38:08 - mmengine - INFO - Epoch(train) [162][700/3757] lr: 3.0300e-02 eta: 1 day, 4:20:36 time: 0.2856 data_time: 0.0170 memory: 6332 grad_norm: 3.4992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5169 loss: 2.5169 2022/08/15 09:38:37 - mmengine - INFO - Epoch(train) [162][800/3757] lr: 3.0300e-02 eta: 1 day, 4:20:07 time: 0.2857 data_time: 0.0159 memory: 6332 grad_norm: 3.5380 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4870 loss: 2.4870 2022/08/15 09:39:06 - mmengine - INFO - Epoch(train) [162][900/3757] lr: 3.0300e-02 eta: 1 day, 4:19:39 time: 0.2876 data_time: 0.0160 memory: 6332 grad_norm: 3.3988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3690 loss: 2.3690 2022/08/15 09:39:35 - mmengine - INFO - Epoch(train) [162][1000/3757] lr: 3.0300e-02 eta: 1 day, 4:19:11 time: 0.2887 data_time: 0.0174 memory: 6332 grad_norm: 3.4407 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5490 loss: 2.5490 2022/08/15 09:40:04 - mmengine - INFO - Epoch(train) [162][1100/3757] lr: 3.0300e-02 eta: 1 day, 4:18:42 time: 0.2877 data_time: 0.0175 memory: 6332 grad_norm: 3.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2666 loss: 2.2666 2022/08/15 09:40:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:40:33 - mmengine - INFO - Epoch(train) [162][1200/3757] lr: 3.0300e-02 eta: 1 day, 4:18:14 time: 0.2863 data_time: 0.0159 memory: 6332 grad_norm: 3.4481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4101 loss: 2.4101 2022/08/15 09:41:02 - mmengine - INFO - Epoch(train) [162][1300/3757] lr: 3.0300e-02 eta: 1 day, 4:17:46 time: 0.2872 data_time: 0.0153 memory: 6332 grad_norm: 3.4673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1940 loss: 2.1940 2022/08/15 09:41:31 - mmengine - INFO - Epoch(train) [162][1400/3757] lr: 3.0300e-02 eta: 1 day, 4:17:17 time: 0.2846 data_time: 0.0159 memory: 6332 grad_norm: 3.5255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3881 loss: 2.3881 2022/08/15 09:42:00 - mmengine - INFO - Epoch(train) [162][1500/3757] lr: 3.0300e-02 eta: 1 day, 4:16:49 time: 0.2844 data_time: 0.0164 memory: 6332 grad_norm: 3.5632 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6059 loss: 2.6059 2022/08/15 09:42:29 - mmengine - INFO - Epoch(train) [162][1600/3757] lr: 3.0300e-02 eta: 1 day, 4:16:20 time: 0.2866 data_time: 0.0166 memory: 6332 grad_norm: 3.3665 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6082 loss: 2.6082 2022/08/15 09:42:58 - mmengine - INFO - Epoch(train) [162][1700/3757] lr: 3.0300e-02 eta: 1 day, 4:15:52 time: 0.2872 data_time: 0.0167 memory: 6332 grad_norm: 3.4820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5822 loss: 2.5822 2022/08/15 09:43:27 - mmengine - INFO - Epoch(train) [162][1800/3757] lr: 3.0300e-02 eta: 1 day, 4:15:24 time: 0.2861 data_time: 0.0165 memory: 6332 grad_norm: 3.4563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6085 loss: 2.6085 2022/08/15 09:43:56 - mmengine - INFO - Epoch(train) [162][1900/3757] lr: 3.0300e-02 eta: 1 day, 4:14:55 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 3.4415 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4027 loss: 2.4027 2022/08/15 09:44:25 - mmengine - INFO - Epoch(train) [162][2000/3757] lr: 3.0300e-02 eta: 1 day, 4:14:27 time: 0.2874 data_time: 0.0163 memory: 6332 grad_norm: 3.4016 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5936 loss: 2.5936 2022/08/15 09:44:54 - mmengine - INFO - Epoch(train) [162][2100/3757] lr: 3.0300e-02 eta: 1 day, 4:13:59 time: 0.2921 data_time: 0.0166 memory: 6332 grad_norm: 3.3866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8812 loss: 2.8812 2022/08/15 09:45:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:45:23 - mmengine - INFO - Epoch(train) [162][2200/3757] lr: 3.0300e-02 eta: 1 day, 4:13:30 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 3.4523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4474 loss: 2.4474 2022/08/15 09:45:51 - mmengine - INFO - Epoch(train) [162][2300/3757] lr: 3.0300e-02 eta: 1 day, 4:13:02 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 3.3223 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3707 loss: 2.3707 2022/08/15 09:46:20 - mmengine - INFO - Epoch(train) [162][2400/3757] lr: 3.0300e-02 eta: 1 day, 4:12:33 time: 0.2858 data_time: 0.0177 memory: 6332 grad_norm: 3.4856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4706 loss: 2.4706 2022/08/15 09:46:49 - mmengine - INFO - Epoch(train) [162][2500/3757] lr: 3.0300e-02 eta: 1 day, 4:12:05 time: 0.2846 data_time: 0.0165 memory: 6332 grad_norm: 3.5558 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3950 loss: 2.3950 2022/08/15 09:47:18 - mmengine - INFO - Epoch(train) [162][2600/3757] lr: 3.0300e-02 eta: 1 day, 4:11:36 time: 0.2877 data_time: 0.0172 memory: 6332 grad_norm: 3.4454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4684 loss: 2.4684 2022/08/15 09:47:47 - mmengine - INFO - Epoch(train) [162][2700/3757] lr: 3.0300e-02 eta: 1 day, 4:11:08 time: 0.2864 data_time: 0.0166 memory: 6332 grad_norm: 3.4861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5984 loss: 2.5984 2022/08/15 09:48:16 - mmengine - INFO - Epoch(train) [162][2800/3757] lr: 3.0300e-02 eta: 1 day, 4:10:39 time: 0.2889 data_time: 0.0178 memory: 6332 grad_norm: 3.4675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4680 loss: 2.4680 2022/08/15 09:48:45 - mmengine - INFO - Epoch(train) [162][2900/3757] lr: 3.0300e-02 eta: 1 day, 4:10:12 time: 0.2854 data_time: 0.0166 memory: 6332 grad_norm: 3.5569 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6057 loss: 2.6057 2022/08/15 09:49:14 - mmengine - INFO - Epoch(train) [162][3000/3757] lr: 3.0300e-02 eta: 1 day, 4:09:44 time: 0.2863 data_time: 0.0171 memory: 6332 grad_norm: 3.5755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5110 loss: 2.5110 2022/08/15 09:49:43 - mmengine - INFO - Epoch(train) [162][3100/3757] lr: 3.0300e-02 eta: 1 day, 4:09:15 time: 0.2875 data_time: 0.0158 memory: 6332 grad_norm: 3.4338 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6133 loss: 2.6133 2022/08/15 09:49:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:50:12 - mmengine - INFO - Epoch(train) [162][3200/3757] lr: 3.0300e-02 eta: 1 day, 4:08:46 time: 0.2860 data_time: 0.0166 memory: 6332 grad_norm: 3.3722 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.3324 loss: 2.3324 2022/08/15 09:50:41 - mmengine - INFO - Epoch(train) [162][3300/3757] lr: 3.0300e-02 eta: 1 day, 4:08:18 time: 0.2844 data_time: 0.0159 memory: 6332 grad_norm: 3.4539 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5686 loss: 2.5686 2022/08/15 09:51:10 - mmengine - INFO - Epoch(train) [162][3400/3757] lr: 3.0300e-02 eta: 1 day, 4:07:50 time: 0.2833 data_time: 0.0162 memory: 6332 grad_norm: 3.3809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6527 loss: 2.6527 2022/08/15 09:51:39 - mmengine - INFO - Epoch(train) [162][3500/3757] lr: 3.0300e-02 eta: 1 day, 4:07:21 time: 0.2850 data_time: 0.0163 memory: 6332 grad_norm: 3.4077 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7382 loss: 2.7382 2022/08/15 09:52:08 - mmengine - INFO - Epoch(train) [162][3600/3757] lr: 3.0300e-02 eta: 1 day, 4:06:53 time: 0.2862 data_time: 0.0181 memory: 6332 grad_norm: 3.4165 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4088 loss: 2.4088 2022/08/15 09:52:37 - mmengine - INFO - Epoch(train) [162][3700/3757] lr: 3.0300e-02 eta: 1 day, 4:06:24 time: 0.2873 data_time: 0.0173 memory: 6332 grad_norm: 3.3657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4895 loss: 2.4895 2022/08/15 09:52:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:52:53 - mmengine - INFO - Epoch(train) [162][3757/3757] lr: 3.0300e-02 eta: 1 day, 4:06:13 time: 0.2675 data_time: 0.0153 memory: 6332 grad_norm: 3.2994 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6964 loss: 2.6964 2022/08/15 09:53:25 - mmengine - INFO - Epoch(train) [163][100/3757] lr: 2.9738e-02 eta: 1 day, 4:05:33 time: 0.2843 data_time: 0.0161 memory: 6332 grad_norm: 3.4144 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3493 loss: 2.3493 2022/08/15 09:53:53 - mmengine - INFO - Epoch(train) [163][200/3757] lr: 2.9738e-02 eta: 1 day, 4:05:05 time: 0.2874 data_time: 0.0175 memory: 6332 grad_norm: 3.4666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4383 loss: 2.4383 2022/08/15 09:54:23 - mmengine - INFO - Epoch(train) [163][300/3757] lr: 2.9738e-02 eta: 1 day, 4:04:37 time: 0.2868 data_time: 0.0162 memory: 6332 grad_norm: 3.3702 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3546 loss: 2.3546 2022/08/15 09:54:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:54:52 - mmengine - INFO - Epoch(train) [163][400/3757] lr: 2.9738e-02 eta: 1 day, 4:04:09 time: 0.2856 data_time: 0.0156 memory: 6332 grad_norm: 3.4176 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5706 loss: 2.5706 2022/08/15 09:55:21 - mmengine - INFO - Epoch(train) [163][500/3757] lr: 2.9738e-02 eta: 1 day, 4:03:41 time: 0.2853 data_time: 0.0170 memory: 6332 grad_norm: 3.4022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5911 loss: 2.5911 2022/08/15 09:55:50 - mmengine - INFO - Epoch(train) [163][600/3757] lr: 2.9738e-02 eta: 1 day, 4:03:13 time: 0.2852 data_time: 0.0168 memory: 6332 grad_norm: 3.4195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4379 loss: 2.4379 2022/08/15 09:56:19 - mmengine - INFO - Epoch(train) [163][700/3757] lr: 2.9738e-02 eta: 1 day, 4:02:45 time: 0.2859 data_time: 0.0167 memory: 6332 grad_norm: 3.5360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8359 loss: 2.8359 2022/08/15 09:56:48 - mmengine - INFO - Epoch(train) [163][800/3757] lr: 2.9738e-02 eta: 1 day, 4:02:17 time: 0.2866 data_time: 0.0160 memory: 6332 grad_norm: 3.5747 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5103 loss: 2.5103 2022/08/15 09:57:17 - mmengine - INFO - Epoch(train) [163][900/3757] lr: 2.9738e-02 eta: 1 day, 4:01:49 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 3.5398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3290 loss: 2.3290 2022/08/15 09:57:46 - mmengine - INFO - Epoch(train) [163][1000/3757] lr: 2.9738e-02 eta: 1 day, 4:01:21 time: 0.2863 data_time: 0.0172 memory: 6332 grad_norm: 3.4177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8194 loss: 2.8194 2022/08/15 09:58:15 - mmengine - INFO - Epoch(train) [163][1100/3757] lr: 2.9738e-02 eta: 1 day, 4:00:53 time: 0.2899 data_time: 0.0188 memory: 6332 grad_norm: 3.4867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6286 loss: 2.6286 2022/08/15 09:58:44 - mmengine - INFO - Epoch(train) [163][1200/3757] lr: 2.9738e-02 eta: 1 day, 4:00:25 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 3.5719 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4098 loss: 2.4098 2022/08/15 09:59:13 - mmengine - INFO - Epoch(train) [163][1300/3757] lr: 2.9738e-02 eta: 1 day, 3:59:57 time: 0.2928 data_time: 0.0180 memory: 6332 grad_norm: 3.5889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4370 loss: 2.4370 2022/08/15 09:59:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 09:59:42 - mmengine - INFO - Epoch(train) [163][1400/3757] lr: 2.9738e-02 eta: 1 day, 3:59:29 time: 0.2857 data_time: 0.0170 memory: 6332 grad_norm: 3.3172 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7031 loss: 2.7031 2022/08/15 10:00:11 - mmengine - INFO - Epoch(train) [163][1500/3757] lr: 2.9738e-02 eta: 1 day, 3:59:00 time: 0.2844 data_time: 0.0163 memory: 6332 grad_norm: 3.5486 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4003 loss: 2.4003 2022/08/15 10:00:40 - mmengine - INFO - Epoch(train) [163][1600/3757] lr: 2.9738e-02 eta: 1 day, 3:58:32 time: 0.2860 data_time: 0.0162 memory: 6332 grad_norm: 3.4091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6171 loss: 2.6171 2022/08/15 10:01:09 - mmengine - INFO - Epoch(train) [163][1700/3757] lr: 2.9738e-02 eta: 1 day, 3:58:03 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 3.4492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2538 loss: 2.2538 2022/08/15 10:01:38 - mmengine - INFO - Epoch(train) [163][1800/3757] lr: 2.9738e-02 eta: 1 day, 3:57:35 time: 0.2861 data_time: 0.0176 memory: 6332 grad_norm: 3.4520 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4531 loss: 2.4531 2022/08/15 10:02:07 - mmengine - INFO - Epoch(train) [163][1900/3757] lr: 2.9738e-02 eta: 1 day, 3:57:06 time: 0.2863 data_time: 0.0174 memory: 6332 grad_norm: 3.4680 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7477 loss: 2.7477 2022/08/15 10:02:36 - mmengine - INFO - Epoch(train) [163][2000/3757] lr: 2.9738e-02 eta: 1 day, 3:56:38 time: 0.2914 data_time: 0.0172 memory: 6332 grad_norm: 3.4728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3104 loss: 2.3104 2022/08/15 10:03:05 - mmengine - INFO - Epoch(train) [163][2100/3757] lr: 2.9738e-02 eta: 1 day, 3:56:10 time: 0.2861 data_time: 0.0159 memory: 6332 grad_norm: 3.4696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6535 loss: 2.6535 2022/08/15 10:03:34 - mmengine - INFO - Epoch(train) [163][2200/3757] lr: 2.9738e-02 eta: 1 day, 3:55:42 time: 0.2884 data_time: 0.0161 memory: 6332 grad_norm: 3.4875 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9195 loss: 2.9195 2022/08/15 10:04:03 - mmengine - INFO - Epoch(train) [163][2300/3757] lr: 2.9738e-02 eta: 1 day, 3:55:14 time: 0.2846 data_time: 0.0162 memory: 6332 grad_norm: 3.5287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7128 loss: 2.7128 2022/08/15 10:04:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:04:32 - mmengine - INFO - Epoch(train) [163][2400/3757] lr: 2.9738e-02 eta: 1 day, 3:54:46 time: 0.2860 data_time: 0.0169 memory: 6332 grad_norm: 3.3778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6673 loss: 2.6673 2022/08/15 10:05:01 - mmengine - INFO - Epoch(train) [163][2500/3757] lr: 2.9738e-02 eta: 1 day, 3:54:18 time: 0.2851 data_time: 0.0170 memory: 6332 grad_norm: 3.4868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6959 loss: 2.6959 2022/08/15 10:05:30 - mmengine - INFO - Epoch(train) [163][2600/3757] lr: 2.9738e-02 eta: 1 day, 3:53:50 time: 0.2856 data_time: 0.0176 memory: 6332 grad_norm: 3.5120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5187 loss: 2.5187 2022/08/15 10:05:59 - mmengine - INFO - Epoch(train) [163][2700/3757] lr: 2.9738e-02 eta: 1 day, 3:53:22 time: 0.2865 data_time: 0.0177 memory: 6332 grad_norm: 3.4212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5049 loss: 2.5049 2022/08/15 10:06:29 - mmengine - INFO - Epoch(train) [163][2800/3757] lr: 2.9738e-02 eta: 1 day, 3:52:54 time: 0.2884 data_time: 0.0169 memory: 6332 grad_norm: 3.3525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2965 loss: 2.2965 2022/08/15 10:06:57 - mmengine - INFO - Epoch(train) [163][2900/3757] lr: 2.9738e-02 eta: 1 day, 3:52:25 time: 0.2868 data_time: 0.0167 memory: 6332 grad_norm: 3.5258 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6223 loss: 2.6223 2022/08/15 10:07:26 - mmengine - INFO - Epoch(train) [163][3000/3757] lr: 2.9738e-02 eta: 1 day, 3:51:57 time: 0.2858 data_time: 0.0164 memory: 6332 grad_norm: 3.4569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3736 loss: 2.3736 2022/08/15 10:07:55 - mmengine - INFO - Epoch(train) [163][3100/3757] lr: 2.9738e-02 eta: 1 day, 3:51:29 time: 0.2911 data_time: 0.0166 memory: 6332 grad_norm: 3.3720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4884 loss: 2.4884 2022/08/15 10:08:24 - mmengine - INFO - Epoch(train) [163][3200/3757] lr: 2.9738e-02 eta: 1 day, 3:51:00 time: 0.2869 data_time: 0.0163 memory: 6332 grad_norm: 3.3900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2090 loss: 2.2090 2022/08/15 10:08:54 - mmengine - INFO - Epoch(train) [163][3300/3757] lr: 2.9738e-02 eta: 1 day, 3:50:32 time: 0.2857 data_time: 0.0168 memory: 6332 grad_norm: 3.4385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6189 loss: 2.6189 2022/08/15 10:09:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:09:22 - mmengine - INFO - Epoch(train) [163][3400/3757] lr: 2.9738e-02 eta: 1 day, 3:50:04 time: 0.2855 data_time: 0.0183 memory: 6332 grad_norm: 3.5801 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7140 loss: 2.7140 2022/08/15 10:09:51 - mmengine - INFO - Epoch(train) [163][3500/3757] lr: 2.9738e-02 eta: 1 day, 3:49:36 time: 0.2849 data_time: 0.0164 memory: 6332 grad_norm: 3.4375 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5314 loss: 2.5314 2022/08/15 10:10:21 - mmengine - INFO - Epoch(train) [163][3600/3757] lr: 2.9738e-02 eta: 1 day, 3:49:08 time: 0.2940 data_time: 0.0181 memory: 6332 grad_norm: 3.3946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5504 loss: 2.5504 2022/08/15 10:10:50 - mmengine - INFO - Epoch(train) [163][3700/3757] lr: 2.9738e-02 eta: 1 day, 3:48:39 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 3.4665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6967 loss: 2.6967 2022/08/15 10:11:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:11:06 - mmengine - INFO - Epoch(train) [163][3757/3757] lr: 2.9738e-02 eta: 1 day, 3:48:28 time: 0.2652 data_time: 0.0153 memory: 6332 grad_norm: 3.4743 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3711 loss: 2.3711 2022/08/15 10:11:37 - mmengine - INFO - Epoch(train) [164][100/3757] lr: 2.9179e-02 eta: 1 day, 3:47:47 time: 0.2893 data_time: 0.0198 memory: 6332 grad_norm: 3.4216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6540 loss: 2.6540 2022/08/15 10:12:06 - mmengine - INFO - Epoch(train) [164][200/3757] lr: 2.9179e-02 eta: 1 day, 3:47:19 time: 0.2888 data_time: 0.0162 memory: 6332 grad_norm: 3.4494 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5129 loss: 2.5129 2022/08/15 10:12:35 - mmengine - INFO - Epoch(train) [164][300/3757] lr: 2.9179e-02 eta: 1 day, 3:46:51 time: 0.2898 data_time: 0.0177 memory: 6332 grad_norm: 3.4934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3733 loss: 2.3733 2022/08/15 10:13:04 - mmengine - INFO - Epoch(train) [164][400/3757] lr: 2.9179e-02 eta: 1 day, 3:46:22 time: 0.2854 data_time: 0.0157 memory: 6332 grad_norm: 3.4432 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5333 loss: 2.5333 2022/08/15 10:13:33 - mmengine - INFO - Epoch(train) [164][500/3757] lr: 2.9179e-02 eta: 1 day, 3:45:54 time: 0.2854 data_time: 0.0168 memory: 6332 grad_norm: 3.5268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/08/15 10:14:02 - mmengine - INFO - Epoch(train) [164][600/3757] lr: 2.9179e-02 eta: 1 day, 3:45:26 time: 0.2856 data_time: 0.0166 memory: 6332 grad_norm: 3.4934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7576 loss: 2.7576 2022/08/15 10:14:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:14:31 - mmengine - INFO - Epoch(train) [164][700/3757] lr: 2.9179e-02 eta: 1 day, 3:44:58 time: 0.2849 data_time: 0.0173 memory: 6332 grad_norm: 3.4353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6545 loss: 2.6545 2022/08/15 10:15:00 - mmengine - INFO - Epoch(train) [164][800/3757] lr: 2.9179e-02 eta: 1 day, 3:44:30 time: 0.2872 data_time: 0.0173 memory: 6332 grad_norm: 3.5093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4185 loss: 2.4185 2022/08/15 10:15:29 - mmengine - INFO - Epoch(train) [164][900/3757] lr: 2.9179e-02 eta: 1 day, 3:44:02 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 3.4302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4914 loss: 2.4914 2022/08/15 10:15:58 - mmengine - INFO - Epoch(train) [164][1000/3757] lr: 2.9179e-02 eta: 1 day, 3:43:34 time: 0.2917 data_time: 0.0173 memory: 6332 grad_norm: 3.4944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3538 loss: 2.3538 2022/08/15 10:16:27 - mmengine - INFO - Epoch(train) [164][1100/3757] lr: 2.9179e-02 eta: 1 day, 3:43:06 time: 0.2910 data_time: 0.0190 memory: 6332 grad_norm: 3.4767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4214 loss: 2.4214 2022/08/15 10:16:56 - mmengine - INFO - Epoch(train) [164][1200/3757] lr: 2.9179e-02 eta: 1 day, 3:42:38 time: 0.2942 data_time: 0.0180 memory: 6332 grad_norm: 3.6037 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7313 loss: 2.7313 2022/08/15 10:17:26 - mmengine - INFO - Epoch(train) [164][1300/3757] lr: 2.9179e-02 eta: 1 day, 3:42:10 time: 0.2864 data_time: 0.0166 memory: 6332 grad_norm: 3.4289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6321 loss: 2.6321 2022/08/15 10:17:55 - mmengine - INFO - Epoch(train) [164][1400/3757] lr: 2.9179e-02 eta: 1 day, 3:41:42 time: 0.2863 data_time: 0.0161 memory: 6332 grad_norm: 3.4071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4117 loss: 2.4117 2022/08/15 10:18:24 - mmengine - INFO - Epoch(train) [164][1500/3757] lr: 2.9179e-02 eta: 1 day, 3:41:14 time: 0.2861 data_time: 0.0161 memory: 6332 grad_norm: 3.4969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6534 loss: 2.6534 2022/08/15 10:18:53 - mmengine - INFO - Epoch(train) [164][1600/3757] lr: 2.9179e-02 eta: 1 day, 3:40:46 time: 0.2879 data_time: 0.0160 memory: 6332 grad_norm: 3.5346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6303 loss: 2.6303 2022/08/15 10:18:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:19:22 - mmengine - INFO - Epoch(train) [164][1700/3757] lr: 2.9179e-02 eta: 1 day, 3:40:18 time: 0.2876 data_time: 0.0169 memory: 6332 grad_norm: 3.4794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4212 loss: 2.4212 2022/08/15 10:19:51 - mmengine - INFO - Epoch(train) [164][1800/3757] lr: 2.9179e-02 eta: 1 day, 3:39:50 time: 0.2906 data_time: 0.0180 memory: 6332 grad_norm: 3.3713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4283 loss: 2.4283 2022/08/15 10:20:20 - mmengine - INFO - Epoch(train) [164][1900/3757] lr: 2.9179e-02 eta: 1 day, 3:39:22 time: 0.2895 data_time: 0.0174 memory: 6332 grad_norm: 3.5200 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7594 loss: 2.7594 2022/08/15 10:20:49 - mmengine - INFO - Epoch(train) [164][2000/3757] lr: 2.9179e-02 eta: 1 day, 3:38:54 time: 0.2870 data_time: 0.0177 memory: 6332 grad_norm: 3.4460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6352 loss: 2.6352 2022/08/15 10:21:19 - mmengine - INFO - Epoch(train) [164][2100/3757] lr: 2.9179e-02 eta: 1 day, 3:38:26 time: 0.2930 data_time: 0.0187 memory: 6332 grad_norm: 3.5190 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5795 loss: 2.5795 2022/08/15 10:21:48 - mmengine - INFO - Epoch(train) [164][2200/3757] lr: 2.9179e-02 eta: 1 day, 3:37:58 time: 0.2866 data_time: 0.0168 memory: 6332 grad_norm: 3.5626 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6551 loss: 2.6551 2022/08/15 10:22:17 - mmengine - INFO - Epoch(train) [164][2300/3757] lr: 2.9179e-02 eta: 1 day, 3:37:30 time: 0.2946 data_time: 0.0174 memory: 6332 grad_norm: 3.5184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6425 loss: 2.6425 2022/08/15 10:22:46 - mmengine - INFO - Epoch(train) [164][2400/3757] lr: 2.9179e-02 eta: 1 day, 3:37:03 time: 0.2960 data_time: 0.0172 memory: 6332 grad_norm: 3.5924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1892 loss: 2.1892 2022/08/15 10:23:15 - mmengine - INFO - Epoch(train) [164][2500/3757] lr: 2.9179e-02 eta: 1 day, 3:36:35 time: 0.2886 data_time: 0.0177 memory: 6332 grad_norm: 3.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2577 loss: 2.2577 2022/08/15 10:23:44 - mmengine - INFO - Epoch(train) [164][2600/3757] lr: 2.9179e-02 eta: 1 day, 3:36:07 time: 0.2871 data_time: 0.0172 memory: 6332 grad_norm: 3.4671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4531 loss: 2.4531 2022/08/15 10:23:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:24:13 - mmengine - INFO - Epoch(train) [164][2700/3757] lr: 2.9179e-02 eta: 1 day, 3:35:39 time: 0.2865 data_time: 0.0167 memory: 6332 grad_norm: 3.5930 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5432 loss: 2.5432 2022/08/15 10:24:42 - mmengine - INFO - Epoch(train) [164][2800/3757] lr: 2.9179e-02 eta: 1 day, 3:35:11 time: 0.2863 data_time: 0.0164 memory: 6332 grad_norm: 3.4023 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6407 loss: 2.6407 2022/08/15 10:25:11 - mmengine - INFO - Epoch(train) [164][2900/3757] lr: 2.9179e-02 eta: 1 day, 3:34:43 time: 0.2865 data_time: 0.0166 memory: 6332 grad_norm: 3.4913 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4875 loss: 2.4875 2022/08/15 10:25:41 - mmengine - INFO - Epoch(train) [164][3000/3757] lr: 2.9179e-02 eta: 1 day, 3:34:15 time: 0.2928 data_time: 0.0180 memory: 6332 grad_norm: 3.6463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4941 loss: 2.4941 2022/08/15 10:26:10 - mmengine - INFO - Epoch(train) [164][3100/3757] lr: 2.9179e-02 eta: 1 day, 3:33:47 time: 0.2872 data_time: 0.0162 memory: 6332 grad_norm: 3.5883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5430 loss: 2.5430 2022/08/15 10:26:39 - mmengine - INFO - Epoch(train) [164][3200/3757] lr: 2.9179e-02 eta: 1 day, 3:33:20 time: 0.2909 data_time: 0.0159 memory: 6332 grad_norm: 3.5187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6552 loss: 2.6552 2022/08/15 10:27:08 - mmengine - INFO - Epoch(train) [164][3300/3757] lr: 2.9179e-02 eta: 1 day, 3:32:51 time: 0.2878 data_time: 0.0162 memory: 6332 grad_norm: 3.6176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6570 loss: 2.6570 2022/08/15 10:27:37 - mmengine - INFO - Epoch(train) [164][3400/3757] lr: 2.9179e-02 eta: 1 day, 3:32:24 time: 0.2876 data_time: 0.0161 memory: 6332 grad_norm: 3.5178 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5025 loss: 2.5025 2022/08/15 10:28:06 - mmengine - INFO - Epoch(train) [164][3500/3757] lr: 2.9179e-02 eta: 1 day, 3:31:55 time: 0.2865 data_time: 0.0169 memory: 6332 grad_norm: 3.4574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4942 loss: 2.4942 2022/08/15 10:28:36 - mmengine - INFO - Epoch(train) [164][3600/3757] lr: 2.9179e-02 eta: 1 day, 3:31:28 time: 0.2869 data_time: 0.0174 memory: 6332 grad_norm: 3.4201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5762 loss: 2.5762 2022/08/15 10:28:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:29:05 - mmengine - INFO - Epoch(train) [164][3700/3757] lr: 2.9179e-02 eta: 1 day, 3:31:00 time: 0.2859 data_time: 0.0170 memory: 6332 grad_norm: 3.5373 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4155 loss: 2.4155 2022/08/15 10:29:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220815_003958 2022/08/15 10:29:21 - mmengine - INFO - Epoch(train) [164][3757/3757] lr: 2.9179e-02 eta: 1 day, 3:30:50 time: 0.2746 data_time: 0.0140 memory: 6332 grad_norm: 3.5231 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3530 loss: 2.3530 2022/08/15 10:29:21 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/18 22:00:30 - mmengine - INFO - Epoch(train) [165][100/3757] lr: 2.8622e-02 eta: 4 days, 16:36:29 time: 0.2857 data_time: 0.0148 memory: 6332 grad_norm: 3.5216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3868 loss: 2.3868 2022/08/18 22:00:59 - mmengine - INFO - Epoch(train) [165][200/3757] lr: 2.8622e-02 eta: 2 days, 22:07:09 time: 0.2846 data_time: 0.0158 memory: 6332 grad_norm: 3.4697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5561 loss: 2.5561 2022/08/18 22:01:28 - mmengine - INFO - Epoch(train) [165][300/3757] lr: 2.8622e-02 eta: 2 days, 7:53:58 time: 0.2853 data_time: 0.0153 memory: 6332 grad_norm: 3.4836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/08/18 22:01:57 - mmengine - INFO - Epoch(train) [165][400/3757] lr: 2.8622e-02 eta: 2 days, 0:51:22 time: 0.2860 data_time: 0.0165 memory: 6332 grad_norm: 3.5023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6038 loss: 2.6038 2022/08/18 22:02:26 - mmengine - INFO - Epoch(train) [165][500/3757] lr: 2.8622e-02 eta: 1 day, 20:37:37 time: 0.2978 data_time: 0.0139 memory: 6332 grad_norm: 3.3782 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7357 loss: 2.7357 2022/08/18 22:02:55 - mmengine - INFO - Epoch(train) [165][600/3757] lr: 2.8622e-02 eta: 1 day, 17:45:00 time: 0.2903 data_time: 0.0140 memory: 6332 grad_norm: 3.4761 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5422 loss: 2.5422 2022/08/18 22:03:24 - mmengine - INFO - Epoch(train) [165][700/3757] lr: 2.8622e-02 eta: 1 day, 15:43:13 time: 0.2854 data_time: 0.0149 memory: 6332 grad_norm: 3.3950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2399 loss: 2.2399 2022/08/18 22:03:54 - mmengine - INFO - Epoch(train) [165][800/3757] lr: 2.8622e-02 eta: 1 day, 14:16:38 time: 0.2844 data_time: 0.0148 memory: 6332 grad_norm: 3.5152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2668 loss: 2.2668 2022/08/18 22:04:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:04:23 - mmengine - INFO - Epoch(train) [165][900/3757] lr: 2.8622e-02 eta: 1 day, 13:05:36 time: 0.2846 data_time: 0.0147 memory: 6332 grad_norm: 3.5159 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4792 loss: 2.4792 2022/08/18 22:04:53 - mmengine - INFO - Epoch(train) [165][1000/3757] lr: 2.8622e-02 eta: 1 day, 12:12:40 time: 0.2847 data_time: 0.0141 memory: 6332 grad_norm: 3.5461 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5733 loss: 2.5733 2022/08/18 22:05:22 - mmengine - INFO - Epoch(train) [165][1100/3757] lr: 2.8622e-02 eta: 1 day, 11:26:29 time: 0.2840 data_time: 0.0142 memory: 6332 grad_norm: 3.5545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3990 loss: 2.3990 2022/08/18 22:05:51 - mmengine - INFO - Epoch(train) [165][1200/3757] lr: 2.8622e-02 eta: 1 day, 10:46:52 time: 0.2842 data_time: 0.0136 memory: 6332 grad_norm: 3.4885 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8754 loss: 2.8754 2022/08/18 22:06:20 - mmengine - INFO - Epoch(train) [165][1300/3757] lr: 2.8622e-02 eta: 1 day, 10:12:54 time: 0.2912 data_time: 0.0201 memory: 6332 grad_norm: 3.5585 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6278 loss: 2.6278 2022/08/18 22:06:49 - mmengine - INFO - Epoch(train) [165][1400/3757] lr: 2.8622e-02 eta: 1 day, 9:44:06 time: 0.2920 data_time: 0.0141 memory: 6332 grad_norm: 3.5917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2784 loss: 2.2784 2022/08/18 22:07:19 - mmengine - INFO - Epoch(train) [165][1500/3757] lr: 2.8622e-02 eta: 1 day, 9:19:53 time: 0.2863 data_time: 0.0172 memory: 6332 grad_norm: 3.5244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4095 loss: 2.4095 2022/08/18 22:07:48 - mmengine - INFO - Epoch(train) [165][1600/3757] lr: 2.8622e-02 eta: 1 day, 8:57:05 time: 0.2854 data_time: 0.0148 memory: 6332 grad_norm: 3.5136 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3634 loss: 2.3634 2022/08/18 22:08:17 - mmengine - INFO - Epoch(train) [165][1700/3757] lr: 2.8622e-02 eta: 1 day, 8:37:50 time: 0.2885 data_time: 0.0167 memory: 6332 grad_norm: 3.4217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4152 loss: 2.4152 2022/08/18 22:08:46 - mmengine - INFO - Epoch(train) [165][1800/3757] lr: 2.8622e-02 eta: 1 day, 8:19:57 time: 0.2887 data_time: 0.0156 memory: 6332 grad_norm: 3.5341 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1384 loss: 2.1384 2022/08/18 22:09:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:09:15 - mmengine - INFO - Epoch(train) [165][1900/3757] lr: 2.8622e-02 eta: 1 day, 8:04:32 time: 0.2855 data_time: 0.0152 memory: 6332 grad_norm: 3.5869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7672 loss: 2.7672 2022/08/18 22:09:44 - mmengine - INFO - Epoch(train) [165][2000/3757] lr: 2.8622e-02 eta: 1 day, 7:50:00 time: 0.2833 data_time: 0.0139 memory: 6332 grad_norm: 3.5700 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5806 loss: 2.5806 2022/08/18 22:10:13 - mmengine - INFO - Epoch(train) [165][2100/3757] lr: 2.8622e-02 eta: 1 day, 7:36:52 time: 0.2843 data_time: 0.0145 memory: 6332 grad_norm: 3.4216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3578 loss: 2.3578 2022/08/18 22:10:42 - mmengine - INFO - Epoch(train) [165][2200/3757] lr: 2.8622e-02 eta: 1 day, 7:25:04 time: 0.2853 data_time: 0.0152 memory: 6332 grad_norm: 3.5522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4529 loss: 2.4529 2022/08/18 22:11:11 - mmengine - INFO - Epoch(train) [165][2300/3757] lr: 2.8622e-02 eta: 1 day, 7:15:31 time: 0.2850 data_time: 0.0149 memory: 6332 grad_norm: 3.5133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5162 loss: 2.5162 2022/08/18 22:11:40 - mmengine - INFO - Epoch(train) [165][2400/3757] lr: 2.8622e-02 eta: 1 day, 7:05:14 time: 0.2872 data_time: 0.0165 memory: 6332 grad_norm: 3.5350 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1580 loss: 2.1580 2022/08/18 22:12:09 - mmengine - INFO - Epoch(train) [165][2500/3757] lr: 2.8622e-02 eta: 1 day, 6:56:13 time: 0.2923 data_time: 0.0149 memory: 6332 grad_norm: 3.4312 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5475 loss: 2.5475 2022/08/18 22:12:38 - mmengine - INFO - Epoch(train) [165][2600/3757] lr: 2.8622e-02 eta: 1 day, 6:47:40 time: 0.2874 data_time: 0.0175 memory: 6332 grad_norm: 3.4877 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5018 loss: 2.5018 2022/08/18 22:13:07 - mmengine - INFO - Epoch(train) [165][2700/3757] lr: 2.8622e-02 eta: 1 day, 6:39:45 time: 0.2855 data_time: 0.0148 memory: 6332 grad_norm: 3.5030 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7223 loss: 2.7223 2022/08/18 22:13:37 - mmengine - INFO - Epoch(train) [165][2800/3757] lr: 2.8622e-02 eta: 1 day, 6:32:45 time: 0.2978 data_time: 0.0153 memory: 6332 grad_norm: 3.4076 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4279 loss: 2.4279 2022/08/18 22:13:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:14:06 - mmengine - INFO - Epoch(train) [165][2900/3757] lr: 2.8622e-02 eta: 1 day, 6:25:54 time: 0.2838 data_time: 0.0161 memory: 6332 grad_norm: 3.4674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1729 loss: 2.1729 2022/08/18 22:14:35 - mmengine - INFO - Epoch(train) [165][3000/3757] lr: 2.8622e-02 eta: 1 day, 6:20:32 time: 0.2862 data_time: 0.0151 memory: 6332 grad_norm: 3.5176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5475 loss: 2.5475 2022/08/18 22:15:04 - mmengine - INFO - Epoch(train) [165][3100/3757] lr: 2.8622e-02 eta: 1 day, 6:14:22 time: 0.2844 data_time: 0.0149 memory: 6332 grad_norm: 3.5577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6080 loss: 2.6080 2022/08/18 22:15:34 - mmengine - INFO - Epoch(train) [165][3200/3757] lr: 2.8622e-02 eta: 1 day, 6:08:41 time: 0.2854 data_time: 0.0159 memory: 6332 grad_norm: 3.5725 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5688 loss: 2.5688 2022/08/18 22:16:03 - mmengine - INFO - Epoch(train) [165][3300/3757] lr: 2.8622e-02 eta: 1 day, 6:03:36 time: 0.2847 data_time: 0.0148 memory: 6332 grad_norm: 3.5662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4556 loss: 2.4556 2022/08/18 22:16:32 - mmengine - INFO - Epoch(train) [165][3400/3757] lr: 2.8622e-02 eta: 1 day, 5:58:55 time: 0.2843 data_time: 0.0147 memory: 6332 grad_norm: 3.5868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2809 loss: 2.2809 2022/08/18 22:17:02 - mmengine - INFO - Epoch(train) [165][3500/3757] lr: 2.8622e-02 eta: 1 day, 5:54:50 time: 0.2857 data_time: 0.0147 memory: 6332 grad_norm: 3.4696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4569 loss: 2.4569 2022/08/18 22:17:31 - mmengine - INFO - Epoch(train) [165][3600/3757] lr: 2.8622e-02 eta: 1 day, 5:50:35 time: 0.2898 data_time: 0.0145 memory: 6332 grad_norm: 3.3926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3342 loss: 2.3342 2022/08/18 22:18:00 - mmengine - INFO - Epoch(train) [165][3700/3757] lr: 2.8622e-02 eta: 1 day, 5:46:11 time: 0.2916 data_time: 0.0204 memory: 6332 grad_norm: 3.5049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3480 loss: 2.3480 2022/08/18 22:18:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:18:16 - mmengine - INFO - Epoch(train) [165][3757/3757] lr: 2.8622e-02 eta: 1 day, 5:44:23 time: 0.2713 data_time: 0.0137 memory: 6332 grad_norm: 3.5507 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.4520 loss: 2.4520 2022/08/18 22:20:01 - mmengine - INFO - Epoch(val) [165][100/310] eta: 0:00:53 time: 0.2533 data_time: 0.1610 memory: 1147 2022/08/18 22:20:33 - mmengine - INFO - Epoch(val) [165][200/310] eta: 0:00:18 time: 0.1727 data_time: 0.0787 memory: 1147 2022/08/18 22:20:49 - mmengine - INFO - Epoch(val) [165][300/310] eta: 0:00:01 time: 0.1314 data_time: 0.0545 memory: 1147 2022/08/18 22:20:52 - mmengine - INFO - Epoch(val) [165][310/310] acc/top1: 0.5102 acc/top5: 0.7680 acc/mean1: 0.5100 2022/08/18 22:20:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_156.pth is removed 2022/08/18 22:20:55 - mmengine - INFO - The best checkpoint with 0.5102 acc/top1 at 166 epoch is saved to best_acc/top1_epoch_166.pth. 2022/08/18 22:21:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:21:25 - mmengine - INFO - Epoch(train) [166][100/3757] lr: 2.8069e-02 eta: 1 day, 5:33:56 time: 0.2840 data_time: 0.0147 memory: 6332 grad_norm: 3.5000 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5208 loss: 2.5208 2022/08/18 22:21:54 - mmengine - INFO - Epoch(train) [166][200/3757] lr: 2.8069e-02 eta: 1 day, 5:30:03 time: 0.2839 data_time: 0.0159 memory: 6332 grad_norm: 3.5320 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6740 loss: 2.6740 2022/08/18 22:22:23 - mmengine - INFO - Epoch(train) [166][300/3757] lr: 2.8069e-02 eta: 1 day, 5:26:11 time: 0.2842 data_time: 0.0168 memory: 6332 grad_norm: 3.4561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4473 loss: 2.4473 2022/08/18 22:22:52 - mmengine - INFO - Epoch(train) [166][400/3757] lr: 2.8069e-02 eta: 1 day, 5:22:57 time: 0.2953 data_time: 0.0162 memory: 6332 grad_norm: 3.5331 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5879 loss: 2.5879 2022/08/18 22:23:21 - mmengine - INFO - Epoch(train) [166][500/3757] lr: 2.8069e-02 eta: 1 day, 5:19:34 time: 0.2850 data_time: 0.0157 memory: 6332 grad_norm: 3.6718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8037 loss: 2.8037 2022/08/18 22:23:50 - mmengine - INFO - Epoch(train) [166][600/3757] lr: 2.8069e-02 eta: 1 day, 5:16:25 time: 0.2856 data_time: 0.0164 memory: 6332 grad_norm: 3.6230 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4791 loss: 2.4791 2022/08/18 22:24:19 - mmengine - INFO - Epoch(train) [166][700/3757] lr: 2.8069e-02 eta: 1 day, 5:12:58 time: 0.2850 data_time: 0.0159 memory: 6332 grad_norm: 3.4768 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2395 loss: 2.2395 2022/08/18 22:24:49 - mmengine - INFO - Epoch(train) [166][800/3757] lr: 2.8069e-02 eta: 1 day, 5:10:34 time: 0.3087 data_time: 0.0161 memory: 6332 grad_norm: 3.4818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2953 loss: 2.2953 2022/08/18 22:25:18 - mmengine - INFO - Epoch(train) [166][900/3757] lr: 2.8069e-02 eta: 1 day, 5:07:37 time: 0.2851 data_time: 0.0163 memory: 6332 grad_norm: 3.4868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5068 loss: 2.5068 2022/08/18 22:25:47 - mmengine - INFO - Epoch(train) [166][1000/3757] lr: 2.8069e-02 eta: 1 day, 5:04:40 time: 0.2852 data_time: 0.0170 memory: 6332 grad_norm: 3.4514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1611 loss: 2.1611 2022/08/18 22:26:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:26:16 - mmengine - INFO - Epoch(train) [166][1100/3757] lr: 2.8069e-02 eta: 1 day, 5:01:58 time: 0.2868 data_time: 0.0178 memory: 6332 grad_norm: 3.5367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0507 loss: 2.0507 2022/08/18 22:26:45 - mmengine - INFO - Epoch(train) [166][1200/3757] lr: 2.8069e-02 eta: 1 day, 4:59:20 time: 0.2853 data_time: 0.0160 memory: 6332 grad_norm: 3.6323 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4322 loss: 2.4322 2022/08/18 22:27:14 - mmengine - INFO - Epoch(train) [166][1300/3757] lr: 2.8069e-02 eta: 1 day, 4:57:01 time: 0.2858 data_time: 0.0164 memory: 6332 grad_norm: 3.5715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3905 loss: 2.3905 2022/08/18 22:27:43 - mmengine - INFO - Epoch(train) [166][1400/3757] lr: 2.8069e-02 eta: 1 day, 4:54:29 time: 0.2841 data_time: 0.0160 memory: 6332 grad_norm: 3.4720 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0999 loss: 2.0999 2022/08/18 22:28:13 - mmengine - INFO - Epoch(train) [166][1500/3757] lr: 2.8069e-02 eta: 1 day, 4:52:39 time: 0.3086 data_time: 0.0181 memory: 6332 grad_norm: 3.4940 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5675 loss: 2.5675 2022/08/18 22:28:42 - mmengine - INFO - Epoch(train) [166][1600/3757] lr: 2.8069e-02 eta: 1 day, 4:50:22 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 3.6046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0522 loss: 3.0522 2022/08/18 22:29:11 - mmengine - INFO - Epoch(train) [166][1700/3757] lr: 2.8069e-02 eta: 1 day, 4:48:11 time: 0.2919 data_time: 0.0156 memory: 6332 grad_norm: 3.6226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5587 loss: 2.5587 2022/08/18 22:29:40 - mmengine - INFO - Epoch(train) [166][1800/3757] lr: 2.8069e-02 eta: 1 day, 4:45:59 time: 0.2872 data_time: 0.0175 memory: 6332 grad_norm: 3.5343 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5166 loss: 2.5166 2022/08/18 22:30:09 - mmengine - INFO - Epoch(train) [166][1900/3757] lr: 2.8069e-02 eta: 1 day, 4:44:02 time: 0.2945 data_time: 0.0184 memory: 6332 grad_norm: 3.4972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2918 loss: 2.2918 2022/08/18 22:30:38 - mmengine - INFO - Epoch(train) [166][2000/3757] lr: 2.8069e-02 eta: 1 day, 4:41:52 time: 0.2844 data_time: 0.0154 memory: 6332 grad_norm: 3.5951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5296 loss: 2.5296 2022/08/18 22:31:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:31:07 - mmengine - INFO - Epoch(train) [166][2100/3757] lr: 2.8069e-02 eta: 1 day, 4:39:42 time: 0.2851 data_time: 0.0156 memory: 6332 grad_norm: 3.5978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6279 loss: 2.6279 2022/08/18 22:31:36 - mmengine - INFO - Epoch(train) [166][2200/3757] lr: 2.8069e-02 eta: 1 day, 4:37:53 time: 0.2845 data_time: 0.0153 memory: 6332 grad_norm: 3.6085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4547 loss: 2.4547 2022/08/18 22:32:05 - mmengine - INFO - Epoch(train) [166][2300/3757] lr: 2.8069e-02 eta: 1 day, 4:36:04 time: 0.2859 data_time: 0.0161 memory: 6332 grad_norm: 3.4084 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4626 loss: 2.4626 2022/08/18 22:32:34 - mmengine - INFO - Epoch(train) [166][2400/3757] lr: 2.8069e-02 eta: 1 day, 4:34:20 time: 0.2841 data_time: 0.0152 memory: 6332 grad_norm: 3.5503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5561 loss: 2.5561 2022/08/18 22:33:04 - mmengine - INFO - Epoch(train) [166][2500/3757] lr: 2.8069e-02 eta: 1 day, 4:33:10 time: 0.2834 data_time: 0.0161 memory: 6332 grad_norm: 3.5009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4674 loss: 2.4674 2022/08/18 22:33:34 - mmengine - INFO - Epoch(train) [166][2600/3757] lr: 2.8069e-02 eta: 1 day, 4:31:45 time: 0.2875 data_time: 0.0159 memory: 6332 grad_norm: 3.5812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6987 loss: 2.6987 2022/08/18 22:34:03 - mmengine - INFO - Epoch(train) [166][2700/3757] lr: 2.8069e-02 eta: 1 day, 4:30:01 time: 0.2843 data_time: 0.0155 memory: 6332 grad_norm: 3.5592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2500 loss: 2.2500 2022/08/18 22:34:32 - mmengine - INFO - Epoch(train) [166][2800/3757] lr: 2.8069e-02 eta: 1 day, 4:28:48 time: 0.3141 data_time: 0.0174 memory: 6332 grad_norm: 3.5878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/18 22:35:01 - mmengine - INFO - Epoch(train) [166][2900/3757] lr: 2.8069e-02 eta: 1 day, 4:27:06 time: 0.2870 data_time: 0.0159 memory: 6332 grad_norm: 3.7062 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5976 loss: 2.5976 2022/08/18 22:35:31 - mmengine - INFO - Epoch(train) [166][3000/3757] lr: 2.8069e-02 eta: 1 day, 4:25:35 time: 0.2949 data_time: 0.0177 memory: 6332 grad_norm: 3.5653 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6172 loss: 2.6172 2022/08/18 22:35:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:36:00 - mmengine - INFO - Epoch(train) [166][3100/3757] lr: 2.8069e-02 eta: 1 day, 4:24:14 time: 0.2861 data_time: 0.0161 memory: 6332 grad_norm: 3.5473 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5142 loss: 2.5142 2022/08/18 22:36:30 - mmengine - INFO - Epoch(train) [166][3200/3757] lr: 2.8069e-02 eta: 1 day, 4:22:57 time: 0.2970 data_time: 0.0166 memory: 6332 grad_norm: 3.5674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5106 loss: 2.5106 2022/08/18 22:36:59 - mmengine - INFO - Epoch(train) [166][3300/3757] lr: 2.8069e-02 eta: 1 day, 4:21:22 time: 0.2848 data_time: 0.0166 memory: 6332 grad_norm: 3.7230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6171 loss: 2.6171 2022/08/18 22:37:28 - mmengine - INFO - Epoch(train) [166][3400/3757] lr: 2.8069e-02 eta: 1 day, 4:19:52 time: 0.2854 data_time: 0.0162 memory: 6332 grad_norm: 3.5474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4636 loss: 2.4636 2022/08/18 22:37:58 - mmengine - INFO - Epoch(train) [166][3500/3757] lr: 2.8069e-02 eta: 1 day, 4:19:01 time: 0.2847 data_time: 0.0193 memory: 6332 grad_norm: 3.7039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6815 loss: 2.6815 2022/08/18 22:38:27 - mmengine - INFO - Epoch(train) [166][3600/3757] lr: 2.8069e-02 eta: 1 day, 4:17:34 time: 0.2858 data_time: 0.0159 memory: 6332 grad_norm: 3.5756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3778 loss: 2.3778 2022/08/18 22:38:56 - mmengine - INFO - Epoch(train) [166][3700/3757] lr: 2.8069e-02 eta: 1 day, 4:16:38 time: 0.2862 data_time: 0.0161 memory: 6332 grad_norm: 3.6193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4602 loss: 2.4602 2022/08/18 22:39:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:39:13 - mmengine - INFO - Epoch(train) [166][3757/3757] lr: 2.8069e-02 eta: 1 day, 4:15:59 time: 0.2837 data_time: 0.0170 memory: 6332 grad_norm: 3.5124 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.4312 loss: 2.4312 2022/08/18 22:39:44 - mmengine - INFO - Epoch(train) [167][100/3757] lr: 2.7519e-02 eta: 1 day, 4:12:02 time: 0.2830 data_time: 0.0158 memory: 6332 grad_norm: 3.5754 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3537 loss: 2.3537 2022/08/18 22:40:13 - mmengine - INFO - Epoch(train) [167][200/3757] lr: 2.7519e-02 eta: 1 day, 4:10:51 time: 0.2969 data_time: 0.0155 memory: 6332 grad_norm: 3.5872 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6783 loss: 2.6783 2022/08/18 22:40:42 - mmengine - INFO - Epoch(train) [167][300/3757] lr: 2.7519e-02 eta: 1 day, 4:09:31 time: 0.2835 data_time: 0.0157 memory: 6332 grad_norm: 3.6085 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4238 loss: 2.4238 2022/08/18 22:40:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:41:11 - mmengine - INFO - Epoch(train) [167][400/3757] lr: 2.7519e-02 eta: 1 day, 4:08:14 time: 0.2934 data_time: 0.0200 memory: 6332 grad_norm: 3.5078 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5535 loss: 2.5535 2022/08/18 22:41:40 - mmengine - INFO - Epoch(train) [167][500/3757] lr: 2.7519e-02 eta: 1 day, 4:06:53 time: 0.2837 data_time: 0.0149 memory: 6332 grad_norm: 3.5595 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3633 loss: 2.3633 2022/08/18 22:42:09 - mmengine - INFO - Epoch(train) [167][600/3757] lr: 2.7519e-02 eta: 1 day, 4:05:35 time: 0.2881 data_time: 0.0166 memory: 6332 grad_norm: 3.5473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4748 loss: 2.4748 2022/08/18 22:42:38 - mmengine - INFO - Epoch(train) [167][700/3757] lr: 2.7519e-02 eta: 1 day, 4:04:21 time: 0.2853 data_time: 0.0161 memory: 6332 grad_norm: 3.5726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6498 loss: 2.6498 2022/08/18 22:43:07 - mmengine - INFO - Epoch(train) [167][800/3757] lr: 2.7519e-02 eta: 1 day, 4:03:02 time: 0.2844 data_time: 0.0164 memory: 6332 grad_norm: 3.6383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3365 loss: 2.3365 2022/08/18 22:43:37 - mmengine - INFO - Epoch(train) [167][900/3757] lr: 2.7519e-02 eta: 1 day, 4:02:03 time: 0.2863 data_time: 0.0161 memory: 6332 grad_norm: 3.5000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5535 loss: 2.5535 2022/08/18 22:44:06 - mmengine - INFO - Epoch(train) [167][1000/3757] lr: 2.7519e-02 eta: 1 day, 4:00:44 time: 0.2863 data_time: 0.0172 memory: 6332 grad_norm: 3.5154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8352 loss: 2.8352 2022/08/18 22:44:35 - mmengine - INFO - Epoch(train) [167][1100/3757] lr: 2.7519e-02 eta: 1 day, 3:59:35 time: 0.2846 data_time: 0.0153 memory: 6332 grad_norm: 3.4866 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7156 loss: 2.7156 2022/08/18 22:45:04 - mmengine - INFO - Epoch(train) [167][1200/3757] lr: 2.7519e-02 eta: 1 day, 3:58:29 time: 0.2894 data_time: 0.0170 memory: 6332 grad_norm: 3.5811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2358 loss: 2.2358 2022/08/18 22:45:34 - mmengine - INFO - Epoch(train) [167][1300/3757] lr: 2.7519e-02 eta: 1 day, 3:57:46 time: 0.3162 data_time: 0.0181 memory: 6332 grad_norm: 3.4979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6259 loss: 2.6259 2022/08/18 22:45:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:46:11 - mmengine - INFO - Epoch(train) [167][1400/3757] lr: 2.7519e-02 eta: 1 day, 4:01:45 time: 0.3348 data_time: 0.0293 memory: 6332 grad_norm: 3.5227 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6579 loss: 2.6579 2022/08/18 22:46:46 - mmengine - INFO - Epoch(train) [167][1500/3757] lr: 2.7519e-02 eta: 1 day, 4:03:52 time: 0.2866 data_time: 0.0161 memory: 6332 grad_norm: 3.5454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4807 loss: 2.4807 2022/08/18 22:47:15 - mmengine - INFO - Epoch(train) [167][1600/3757] lr: 2.7519e-02 eta: 1 day, 4:02:53 time: 0.2912 data_time: 0.0178 memory: 6332 grad_norm: 3.5061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4589 loss: 2.4589 2022/08/18 22:47:44 - mmengine - INFO - Epoch(train) [167][1700/3757] lr: 2.7519e-02 eta: 1 day, 4:01:55 time: 0.2879 data_time: 0.0168 memory: 6332 grad_norm: 3.6892 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5701 loss: 2.5701 2022/08/18 22:48:14 - mmengine - INFO - Epoch(train) [167][1800/3757] lr: 2.7519e-02 eta: 1 day, 4:00:57 time: 0.2923 data_time: 0.0171 memory: 6332 grad_norm: 3.6135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4087 loss: 2.4087 2022/08/18 22:48:43 - mmengine - INFO - Epoch(train) [167][1900/3757] lr: 2.7519e-02 eta: 1 day, 4:00:05 time: 0.2876 data_time: 0.0160 memory: 6332 grad_norm: 3.5312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5437 loss: 2.5437 2022/08/18 22:49:13 - mmengine - INFO - Epoch(train) [167][2000/3757] lr: 2.7519e-02 eta: 1 day, 3:59:24 time: 0.3278 data_time: 0.0168 memory: 6332 grad_norm: 3.5492 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3715 loss: 2.3715 2022/08/18 22:49:42 - mmengine - INFO - Epoch(train) [167][2100/3757] lr: 2.7519e-02 eta: 1 day, 3:58:13 time: 0.2862 data_time: 0.0173 memory: 6332 grad_norm: 3.5325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5857 loss: 2.5857 2022/08/18 22:50:11 - mmengine - INFO - Epoch(train) [167][2200/3757] lr: 2.7519e-02 eta: 1 day, 3:57:04 time: 0.2909 data_time: 0.0156 memory: 6332 grad_norm: 3.5890 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.5528 loss: 2.5528 2022/08/18 22:50:43 - mmengine - INFO - Epoch(train) [167][2300/3757] lr: 2.7519e-02 eta: 1 day, 3:57:36 time: 0.2894 data_time: 0.0184 memory: 6332 grad_norm: 3.4775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2096 loss: 2.2096 2022/08/18 22:50:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:51:15 - mmengine - INFO - Epoch(train) [167][2400/3757] lr: 2.7519e-02 eta: 1 day, 3:58:06 time: 0.2852 data_time: 0.0166 memory: 6332 grad_norm: 3.5678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6274 loss: 2.6274 2022/08/18 22:51:44 - mmengine - INFO - Epoch(train) [167][2500/3757] lr: 2.7519e-02 eta: 1 day, 3:56:53 time: 0.2861 data_time: 0.0172 memory: 6332 grad_norm: 3.5512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4587 loss: 2.4587 2022/08/18 22:52:13 - mmengine - INFO - Epoch(train) [167][2600/3757] lr: 2.7519e-02 eta: 1 day, 3:55:44 time: 0.2910 data_time: 0.0174 memory: 6332 grad_norm: 3.5944 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7119 loss: 2.7119 2022/08/18 22:52:42 - mmengine - INFO - Epoch(train) [167][2700/3757] lr: 2.7519e-02 eta: 1 day, 3:54:43 time: 0.2979 data_time: 0.0182 memory: 6332 grad_norm: 3.5817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3303 loss: 2.3303 2022/08/18 22:53:11 - mmengine - INFO - Epoch(train) [167][2800/3757] lr: 2.7519e-02 eta: 1 day, 3:53:33 time: 0.2889 data_time: 0.0156 memory: 6332 grad_norm: 3.5961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6890 loss: 2.6890 2022/08/18 22:53:40 - mmengine - INFO - Epoch(train) [167][2900/3757] lr: 2.7519e-02 eta: 1 day, 3:52:27 time: 0.2876 data_time: 0.0174 memory: 6332 grad_norm: 3.7061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4906 loss: 2.4906 2022/08/18 22:54:10 - mmengine - INFO - Epoch(train) [167][3000/3757] lr: 2.7519e-02 eta: 1 day, 3:51:28 time: 0.2921 data_time: 0.0159 memory: 6332 grad_norm: 3.6138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4873 loss: 2.4873 2022/08/18 22:54:39 - mmengine - INFO - Epoch(train) [167][3100/3757] lr: 2.7519e-02 eta: 1 day, 3:50:24 time: 0.2856 data_time: 0.0165 memory: 6332 grad_norm: 3.5299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4862 loss: 2.4862 2022/08/18 22:55:13 - mmengine - INFO - Epoch(train) [167][3200/3757] lr: 2.7519e-02 eta: 1 day, 3:51:57 time: 0.3604 data_time: 0.0207 memory: 6332 grad_norm: 3.5124 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3233 loss: 2.3233 2022/08/18 22:55:44 - mmengine - INFO - Epoch(train) [167][3300/3757] lr: 2.7519e-02 eta: 1 day, 3:51:46 time: 0.2878 data_time: 0.0167 memory: 6332 grad_norm: 3.5254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3817 loss: 2.3817 2022/08/18 22:55:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:56:13 - mmengine - INFO - Epoch(train) [167][3400/3757] lr: 2.7519e-02 eta: 1 day, 3:50:49 time: 0.2924 data_time: 0.0191 memory: 6332 grad_norm: 3.6072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7254 loss: 2.7254 2022/08/18 22:56:42 - mmengine - INFO - Epoch(train) [167][3500/3757] lr: 2.7519e-02 eta: 1 day, 3:49:58 time: 0.2886 data_time: 0.0148 memory: 6332 grad_norm: 3.5022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6796 loss: 2.6796 2022/08/18 22:57:15 - mmengine - INFO - Epoch(train) [167][3600/3757] lr: 2.7519e-02 eta: 1 day, 3:50:43 time: 0.2869 data_time: 0.0181 memory: 6332 grad_norm: 3.6634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4550 loss: 2.4550 2022/08/18 22:57:44 - mmengine - INFO - Epoch(train) [167][3700/3757] lr: 2.7519e-02 eta: 1 day, 3:49:39 time: 0.2879 data_time: 0.0169 memory: 6332 grad_norm: 3.4927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/08/18 22:58:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 22:58:00 - mmengine - INFO - Epoch(train) [167][3757/3757] lr: 2.7519e-02 eta: 1 day, 3:49:16 time: 0.2701 data_time: 0.0149 memory: 6332 grad_norm: 3.5410 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2710 loss: 2.2710 2022/08/18 22:58:32 - mmengine - INFO - Epoch(train) [168][100/3757] lr: 2.6973e-02 eta: 1 day, 3:46:38 time: 0.2887 data_time: 0.0165 memory: 6332 grad_norm: 3.5509 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4417 loss: 2.4417 2022/08/18 22:59:01 - mmengine - INFO - Epoch(train) [168][200/3757] lr: 2.6973e-02 eta: 1 day, 3:45:40 time: 0.2916 data_time: 0.0164 memory: 6332 grad_norm: 3.5914 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8026 loss: 2.8026 2022/08/18 22:59:30 - mmengine - INFO - Epoch(train) [168][300/3757] lr: 2.6973e-02 eta: 1 day, 3:44:35 time: 0.2870 data_time: 0.0166 memory: 6332 grad_norm: 3.6573 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6453 loss: 2.6453 2022/08/18 22:59:59 - mmengine - INFO - Epoch(train) [168][400/3757] lr: 2.6973e-02 eta: 1 day, 3:43:46 time: 0.2853 data_time: 0.0165 memory: 6332 grad_norm: 3.5496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2810 loss: 2.2810 2022/08/18 23:00:28 - mmengine - INFO - Epoch(train) [168][500/3757] lr: 2.6973e-02 eta: 1 day, 3:42:51 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 3.6121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3871 loss: 2.3871 2022/08/18 23:00:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:00:58 - mmengine - INFO - Epoch(train) [168][600/3757] lr: 2.6973e-02 eta: 1 day, 3:42:00 time: 0.2852 data_time: 0.0173 memory: 6332 grad_norm: 3.4604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3104 loss: 2.3104 2022/08/18 23:01:28 - mmengine - INFO - Epoch(train) [168][700/3757] lr: 2.6973e-02 eta: 1 day, 3:41:27 time: 0.2868 data_time: 0.0161 memory: 6332 grad_norm: 3.5520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/08/18 23:01:59 - mmengine - INFO - Epoch(train) [168][800/3757] lr: 2.6973e-02 eta: 1 day, 3:41:32 time: 0.2847 data_time: 0.0160 memory: 6332 grad_norm: 3.4976 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2933 loss: 2.2933 2022/08/18 23:02:28 - mmengine - INFO - Epoch(train) [168][900/3757] lr: 2.6973e-02 eta: 1 day, 3:40:34 time: 0.2856 data_time: 0.0158 memory: 6332 grad_norm: 3.6456 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4216 loss: 2.4216 2022/08/18 23:02:58 - mmengine - INFO - Epoch(train) [168][1000/3757] lr: 2.6973e-02 eta: 1 day, 3:39:50 time: 0.2862 data_time: 0.0153 memory: 6332 grad_norm: 3.6488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7720 loss: 2.7720 2022/08/18 23:03:27 - mmengine - INFO - Epoch(train) [168][1100/3757] lr: 2.6973e-02 eta: 1 day, 3:38:57 time: 0.2869 data_time: 0.0157 memory: 6332 grad_norm: 3.5271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3136 loss: 2.3136 2022/08/18 23:03:56 - mmengine - INFO - Epoch(train) [168][1200/3757] lr: 2.6973e-02 eta: 1 day, 3:38:02 time: 0.2872 data_time: 0.0166 memory: 6332 grad_norm: 3.7226 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4643 loss: 2.4643 2022/08/18 23:04:25 - mmengine - INFO - Epoch(train) [168][1300/3757] lr: 2.6973e-02 eta: 1 day, 3:37:00 time: 0.2898 data_time: 0.0160 memory: 6332 grad_norm: 3.5110 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4687 loss: 2.4687 2022/08/18 23:04:54 - mmengine - INFO - Epoch(train) [168][1400/3757] lr: 2.6973e-02 eta: 1 day, 3:36:04 time: 0.2894 data_time: 0.0184 memory: 6332 grad_norm: 3.4399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4091 loss: 2.4091 2022/08/18 23:05:23 - mmengine - INFO - Epoch(train) [168][1500/3757] lr: 2.6973e-02 eta: 1 day, 3:35:08 time: 0.2888 data_time: 0.0185 memory: 6332 grad_norm: 3.6072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5415 loss: 2.5415 2022/08/18 23:05:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:06:02 - mmengine - INFO - Epoch(train) [168][1600/3757] lr: 2.6973e-02 eta: 1 day, 3:38:36 time: 0.8018 data_time: 0.0210 memory: 6332 grad_norm: 3.7186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4095 loss: 2.4095 2022/08/18 23:06:31 - mmengine - INFO - Epoch(train) [168][1700/3757] lr: 2.6973e-02 eta: 1 day, 3:37:32 time: 0.2867 data_time: 0.0184 memory: 6332 grad_norm: 3.5541 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3775 loss: 2.3775 2022/08/18 23:07:03 - mmengine - INFO - Epoch(train) [168][1800/3757] lr: 2.6973e-02 eta: 1 day, 3:37:37 time: 0.3507 data_time: 0.0188 memory: 6332 grad_norm: 3.5762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5170 loss: 2.5170 2022/08/18 23:07:32 - mmengine - INFO - Epoch(train) [168][1900/3757] lr: 2.6973e-02 eta: 1 day, 3:36:43 time: 0.2841 data_time: 0.0163 memory: 6332 grad_norm: 3.5732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4923 loss: 2.4923 2022/08/18 23:08:01 - mmengine - INFO - Epoch(train) [168][2000/3757] lr: 2.6973e-02 eta: 1 day, 3:35:50 time: 0.2846 data_time: 0.0164 memory: 6332 grad_norm: 3.6842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4320 loss: 2.4320 2022/08/18 23:08:30 - mmengine - INFO - Epoch(train) [168][2100/3757] lr: 2.6973e-02 eta: 1 day, 3:35:02 time: 0.2845 data_time: 0.0166 memory: 6332 grad_norm: 3.5798 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3662 loss: 2.3662 2022/08/18 23:09:00 - mmengine - INFO - Epoch(train) [168][2200/3757] lr: 2.6973e-02 eta: 1 day, 3:34:13 time: 0.2864 data_time: 0.0165 memory: 6332 grad_norm: 3.5150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0679 loss: 2.0679 2022/08/18 23:09:29 - mmengine - INFO - Epoch(train) [168][2300/3757] lr: 2.6973e-02 eta: 1 day, 3:33:30 time: 0.2860 data_time: 0.0169 memory: 6332 grad_norm: 3.5736 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1653 loss: 2.1653 2022/08/18 23:09:59 - mmengine - INFO - Epoch(train) [168][2400/3757] lr: 2.6973e-02 eta: 1 day, 3:32:49 time: 0.2855 data_time: 0.0168 memory: 6332 grad_norm: 3.6739 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5015 loss: 2.5015 2022/08/18 23:10:32 - mmengine - INFO - Epoch(train) [168][2500/3757] lr: 2.6973e-02 eta: 1 day, 3:33:32 time: 0.2876 data_time: 0.0171 memory: 6332 grad_norm: 3.5579 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2766 loss: 2.2766 2022/08/18 23:10:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:11:01 - mmengine - INFO - Epoch(train) [168][2600/3757] lr: 2.6973e-02 eta: 1 day, 3:32:46 time: 0.2978 data_time: 0.0169 memory: 6332 grad_norm: 3.5790 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6039 loss: 2.6039 2022/08/18 23:11:31 - mmengine - INFO - Epoch(train) [168][2700/3757] lr: 2.6973e-02 eta: 1 day, 3:31:56 time: 0.2847 data_time: 0.0159 memory: 6332 grad_norm: 3.6136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3884 loss: 2.3884 2022/08/18 23:12:00 - mmengine - INFO - Epoch(train) [168][2800/3757] lr: 2.6973e-02 eta: 1 day, 3:31:01 time: 0.2847 data_time: 0.0163 memory: 6332 grad_norm: 3.6045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2243 loss: 2.2243 2022/08/18 23:12:29 - mmengine - INFO - Epoch(train) [168][2900/3757] lr: 2.6973e-02 eta: 1 day, 3:30:15 time: 0.2861 data_time: 0.0164 memory: 6332 grad_norm: 3.5511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/08/18 23:12:58 - mmengine - INFO - Epoch(train) [168][3000/3757] lr: 2.6973e-02 eta: 1 day, 3:29:22 time: 0.2837 data_time: 0.0159 memory: 6332 grad_norm: 3.7124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4338 loss: 2.4338 2022/08/18 23:13:28 - mmengine - INFO - Epoch(train) [168][3100/3757] lr: 2.6973e-02 eta: 1 day, 3:28:33 time: 0.2853 data_time: 0.0164 memory: 6332 grad_norm: 3.5741 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4538 loss: 2.4538 2022/08/18 23:13:57 - mmengine - INFO - Epoch(train) [168][3200/3757] lr: 2.6973e-02 eta: 1 day, 3:27:56 time: 0.3117 data_time: 0.0163 memory: 6332 grad_norm: 3.5714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2567 loss: 2.2567 2022/08/18 23:14:26 - mmengine - INFO - Epoch(train) [168][3300/3757] lr: 2.6973e-02 eta: 1 day, 3:27:05 time: 0.2848 data_time: 0.0164 memory: 6332 grad_norm: 3.5168 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3862 loss: 2.3862 2022/08/18 23:15:03 - mmengine - INFO - Epoch(train) [168][3400/3757] lr: 2.6973e-02 eta: 1 day, 3:29:08 time: 0.6545 data_time: 0.0430 memory: 6332 grad_norm: 3.5430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6202 loss: 2.6202 2022/08/18 23:15:32 - mmengine - INFO - Epoch(train) [168][3500/3757] lr: 2.6973e-02 eta: 1 day, 3:28:14 time: 0.2886 data_time: 0.0184 memory: 6332 grad_norm: 3.7188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5936 loss: 2.5936 2022/08/18 23:15:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:16:02 - mmengine - INFO - Epoch(train) [168][3600/3757] lr: 2.6973e-02 eta: 1 day, 3:27:26 time: 0.2849 data_time: 0.0180 memory: 6332 grad_norm: 3.6532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4670 loss: 2.4670 2022/08/18 23:16:31 - mmengine - INFO - Epoch(train) [168][3700/3757] lr: 2.6973e-02 eta: 1 day, 3:26:35 time: 0.2852 data_time: 0.0176 memory: 6332 grad_norm: 3.6500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5208 loss: 2.5208 2022/08/18 23:16:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:16:47 - mmengine - INFO - Epoch(train) [168][3757/3757] lr: 2.6973e-02 eta: 1 day, 3:26:16 time: 0.2693 data_time: 0.0159 memory: 6332 grad_norm: 3.5784 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.6690 loss: 2.6690 2022/08/18 23:16:47 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/18 23:17:21 - mmengine - INFO - Epoch(train) [169][100/3757] lr: 2.6430e-02 eta: 1 day, 3:23:43 time: 0.2831 data_time: 0.0161 memory: 6332 grad_norm: 3.5104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5859 loss: 2.5859 2022/08/18 23:17:50 - mmengine - INFO - Epoch(train) [169][200/3757] lr: 2.6430e-02 eta: 1 day, 3:22:57 time: 0.2845 data_time: 0.0168 memory: 6332 grad_norm: 3.6482 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4711 loss: 2.4711 2022/08/18 23:18:19 - mmengine - INFO - Epoch(train) [169][300/3757] lr: 2.6430e-02 eta: 1 day, 3:22:06 time: 0.2854 data_time: 0.0174 memory: 6332 grad_norm: 3.5950 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5390 loss: 2.5390 2022/08/18 23:18:49 - mmengine - INFO - Epoch(train) [169][400/3757] lr: 2.6430e-02 eta: 1 day, 3:21:24 time: 0.2861 data_time: 0.0166 memory: 6332 grad_norm: 3.6812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5543 loss: 2.5543 2022/08/18 23:19:18 - mmengine - INFO - Epoch(train) [169][500/3757] lr: 2.6430e-02 eta: 1 day, 3:20:34 time: 0.2856 data_time: 0.0192 memory: 6332 grad_norm: 3.5263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2002 loss: 2.2002 2022/08/18 23:19:56 - mmengine - INFO - Epoch(train) [169][600/3757] lr: 2.6430e-02 eta: 1 day, 3:22:52 time: 0.3082 data_time: 0.0273 memory: 6332 grad_norm: 3.7210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4214 loss: 2.4214 2022/08/18 23:20:28 - mmengine - INFO - Epoch(train) [169][700/3757] lr: 2.6430e-02 eta: 1 day, 3:23:03 time: 0.3725 data_time: 0.0179 memory: 6332 grad_norm: 3.6158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4675 loss: 2.4675 2022/08/18 23:21:05 - mmengine - INFO - Epoch(train) [169][800/3757] lr: 2.6430e-02 eta: 1 day, 3:24:43 time: 0.3739 data_time: 0.0171 memory: 6332 grad_norm: 3.5450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2475 loss: 2.2475 2022/08/18 23:21:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:21:35 - mmengine - INFO - Epoch(train) [169][900/3757] lr: 2.6430e-02 eta: 1 day, 3:24:22 time: 0.2975 data_time: 0.0292 memory: 6332 grad_norm: 3.6100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3210 loss: 2.3210 2022/08/18 23:22:08 - mmengine - INFO - Epoch(train) [169][1000/3757] lr: 2.6430e-02 eta: 1 day, 3:24:51 time: 0.3623 data_time: 0.0164 memory: 6332 grad_norm: 3.6626 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3542 loss: 2.3542 2022/08/18 23:22:40 - mmengine - INFO - Epoch(train) [169][1100/3757] lr: 2.6430e-02 eta: 1 day, 3:25:07 time: 0.4304 data_time: 0.0244 memory: 6332 grad_norm: 3.5262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2570 loss: 2.2570 2022/08/18 23:23:09 - mmengine - INFO - Epoch(train) [169][1200/3757] lr: 2.6430e-02 eta: 1 day, 3:24:13 time: 0.2842 data_time: 0.0153 memory: 6332 grad_norm: 3.6293 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6305 loss: 2.6305 2022/08/18 23:23:38 - mmengine - INFO - Epoch(train) [169][1300/3757] lr: 2.6430e-02 eta: 1 day, 3:23:21 time: 0.2881 data_time: 0.0149 memory: 6332 grad_norm: 3.5538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5017 loss: 2.5017 2022/08/18 23:24:07 - mmengine - INFO - Epoch(train) [169][1400/3757] lr: 2.6430e-02 eta: 1 day, 3:22:31 time: 0.2934 data_time: 0.0156 memory: 6332 grad_norm: 3.5249 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2754 loss: 2.2754 2022/08/18 23:24:36 - mmengine - INFO - Epoch(train) [169][1500/3757] lr: 2.6430e-02 eta: 1 day, 3:21:37 time: 0.2865 data_time: 0.0164 memory: 6332 grad_norm: 3.5936 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4421 loss: 2.4421 2022/08/18 23:25:05 - mmengine - INFO - Epoch(train) [169][1600/3757] lr: 2.6430e-02 eta: 1 day, 3:20:45 time: 0.2910 data_time: 0.0164 memory: 6332 grad_norm: 3.5338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1642 loss: 2.1642 2022/08/18 23:25:34 - mmengine - INFO - Epoch(train) [169][1700/3757] lr: 2.6430e-02 eta: 1 day, 3:19:50 time: 0.2855 data_time: 0.0165 memory: 6332 grad_norm: 3.6235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4405 loss: 2.4405 2022/08/18 23:26:03 - mmengine - INFO - Epoch(train) [169][1800/3757] lr: 2.6430e-02 eta: 1 day, 3:19:01 time: 0.2886 data_time: 0.0152 memory: 6332 grad_norm: 3.7404 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3457 loss: 2.3457 2022/08/18 23:26:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:26:32 - mmengine - INFO - Epoch(train) [169][1900/3757] lr: 2.6430e-02 eta: 1 day, 3:18:10 time: 0.2847 data_time: 0.0166 memory: 6332 grad_norm: 3.6997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4440 loss: 2.4440 2022/08/18 23:27:01 - mmengine - INFO - Epoch(train) [169][2000/3757] lr: 2.6430e-02 eta: 1 day, 3:17:19 time: 0.2852 data_time: 0.0157 memory: 6332 grad_norm: 3.6850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1860 loss: 2.1860 2022/08/18 23:27:30 - mmengine - INFO - Epoch(train) [169][2100/3757] lr: 2.6430e-02 eta: 1 day, 3:16:27 time: 0.2857 data_time: 0.0152 memory: 6332 grad_norm: 3.6209 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7914 loss: 2.7914 2022/08/18 23:27:59 - mmengine - INFO - Epoch(train) [169][2200/3757] lr: 2.6430e-02 eta: 1 day, 3:15:39 time: 0.2849 data_time: 0.0155 memory: 6332 grad_norm: 3.4809 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5325 loss: 2.5325 2022/08/18 23:28:28 - mmengine - INFO - Epoch(train) [169][2300/3757] lr: 2.6430e-02 eta: 1 day, 3:14:49 time: 0.2913 data_time: 0.0151 memory: 6332 grad_norm: 3.7798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6831 loss: 2.6831 2022/08/18 23:28:57 - mmengine - INFO - Epoch(train) [169][2400/3757] lr: 2.6430e-02 eta: 1 day, 3:13:59 time: 0.2860 data_time: 0.0158 memory: 6332 grad_norm: 3.6829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/08/18 23:29:26 - mmengine - INFO - Epoch(train) [169][2500/3757] lr: 2.6430e-02 eta: 1 day, 3:13:09 time: 0.2907 data_time: 0.0177 memory: 6332 grad_norm: 3.6667 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5780 loss: 2.5780 2022/08/18 23:29:55 - mmengine - INFO - Epoch(train) [169][2600/3757] lr: 2.6430e-02 eta: 1 day, 3:12:19 time: 0.2831 data_time: 0.0158 memory: 6332 grad_norm: 3.6775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6697 loss: 2.6697 2022/08/18 23:30:24 - mmengine - INFO - Epoch(train) [169][2700/3757] lr: 2.6430e-02 eta: 1 day, 3:11:40 time: 0.3041 data_time: 0.0168 memory: 6332 grad_norm: 3.6149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3456 loss: 2.3456 2022/08/18 23:30:53 - mmengine - INFO - Epoch(train) [169][2800/3757] lr: 2.6430e-02 eta: 1 day, 3:10:54 time: 0.2837 data_time: 0.0158 memory: 6332 grad_norm: 3.6369 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7870 loss: 2.7870 2022/08/18 23:31:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:31:22 - mmengine - INFO - Epoch(train) [169][2900/3757] lr: 2.6430e-02 eta: 1 day, 3:10:03 time: 0.2849 data_time: 0.0156 memory: 6332 grad_norm: 3.6896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6394 loss: 2.6394 2022/08/18 23:31:51 - mmengine - INFO - Epoch(train) [169][3000/3757] lr: 2.6430e-02 eta: 1 day, 3:09:18 time: 0.2849 data_time: 0.0147 memory: 6332 grad_norm: 3.5600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5278 loss: 2.5278 2022/08/18 23:32:20 - mmengine - INFO - Epoch(train) [169][3100/3757] lr: 2.6430e-02 eta: 1 day, 3:08:29 time: 0.2852 data_time: 0.0150 memory: 6332 grad_norm: 3.5717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3083 loss: 2.3083 2022/08/18 23:32:49 - mmengine - INFO - Epoch(train) [169][3200/3757] lr: 2.6430e-02 eta: 1 day, 3:07:43 time: 0.2853 data_time: 0.0150 memory: 6332 grad_norm: 3.6894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5226 loss: 2.5226 2022/08/18 23:33:18 - mmengine - INFO - Epoch(train) [169][3300/3757] lr: 2.6430e-02 eta: 1 day, 3:06:58 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 3.6196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6297 loss: 2.6297 2022/08/18 23:33:48 - mmengine - INFO - Epoch(train) [169][3400/3757] lr: 2.6430e-02 eta: 1 day, 3:06:16 time: 0.2929 data_time: 0.0162 memory: 6332 grad_norm: 3.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5148 loss: 2.5148 2022/08/18 23:34:17 - mmengine - INFO - Epoch(train) [169][3500/3757] lr: 2.6430e-02 eta: 1 day, 3:05:31 time: 0.2830 data_time: 0.0150 memory: 6332 grad_norm: 3.6163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6964 loss: 2.6964 2022/08/18 23:34:46 - mmengine - INFO - Epoch(train) [169][3600/3757] lr: 2.6430e-02 eta: 1 day, 3:04:50 time: 0.2985 data_time: 0.0168 memory: 6332 grad_norm: 3.7566 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5651 loss: 2.5651 2022/08/18 23:35:15 - mmengine - INFO - Epoch(train) [169][3700/3757] lr: 2.6430e-02 eta: 1 day, 3:04:04 time: 0.2843 data_time: 0.0150 memory: 6332 grad_norm: 3.6502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3753 loss: 2.3753 2022/08/18 23:35:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:35:31 - mmengine - INFO - Epoch(train) [169][3757/3757] lr: 2.6430e-02 eta: 1 day, 3:03:47 time: 0.2641 data_time: 0.0143 memory: 6332 grad_norm: 3.5409 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.7377 loss: 2.7377 2022/08/18 23:35:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:36:02 - mmengine - INFO - Epoch(train) [170][100/3757] lr: 2.5891e-02 eta: 1 day, 3:01:57 time: 0.2851 data_time: 0.0149 memory: 6332 grad_norm: 3.5760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5788 loss: 2.5788 2022/08/18 23:36:31 - mmengine - INFO - Epoch(train) [170][200/3757] lr: 2.5891e-02 eta: 1 day, 3:01:17 time: 0.2873 data_time: 0.0155 memory: 6332 grad_norm: 3.7121 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2593 loss: 2.2593 2022/08/18 23:37:00 - mmengine - INFO - Epoch(train) [170][300/3757] lr: 2.5891e-02 eta: 1 day, 3:00:31 time: 0.2856 data_time: 0.0151 memory: 6332 grad_norm: 3.7100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3305 loss: 2.3305 2022/08/18 23:37:30 - mmengine - INFO - Epoch(train) [170][400/3757] lr: 2.5891e-02 eta: 1 day, 2:59:50 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 3.6295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6099 loss: 2.6099 2022/08/18 23:37:59 - mmengine - INFO - Epoch(train) [170][500/3757] lr: 2.5891e-02 eta: 1 day, 2:59:03 time: 0.2848 data_time: 0.0156 memory: 6332 grad_norm: 3.6033 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7596 loss: 2.7596 2022/08/18 23:38:27 - mmengine - INFO - Epoch(train) [170][600/3757] lr: 2.5891e-02 eta: 1 day, 2:58:15 time: 0.2905 data_time: 0.0150 memory: 6332 grad_norm: 3.5635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5194 loss: 2.5194 2022/08/18 23:38:57 - mmengine - INFO - Epoch(train) [170][700/3757] lr: 2.5891e-02 eta: 1 day, 2:57:37 time: 0.2844 data_time: 0.0146 memory: 6332 grad_norm: 3.6033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4445 loss: 2.4445 2022/08/18 23:39:26 - mmengine - INFO - Epoch(train) [170][800/3757] lr: 2.5891e-02 eta: 1 day, 2:56:53 time: 0.2899 data_time: 0.0192 memory: 6332 grad_norm: 3.6672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3661 loss: 2.3661 2022/08/18 23:39:55 - mmengine - INFO - Epoch(train) [170][900/3757] lr: 2.5891e-02 eta: 1 day, 2:56:08 time: 0.2867 data_time: 0.0169 memory: 6332 grad_norm: 3.6407 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5435 loss: 2.5435 2022/08/18 23:40:24 - mmengine - INFO - Epoch(train) [170][1000/3757] lr: 2.5891e-02 eta: 1 day, 2:55:21 time: 0.2871 data_time: 0.0162 memory: 6332 grad_norm: 3.7239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3507 loss: 2.3507 2022/08/18 23:40:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:40:53 - mmengine - INFO - Epoch(train) [170][1100/3757] lr: 2.5891e-02 eta: 1 day, 2:54:39 time: 0.2848 data_time: 0.0149 memory: 6332 grad_norm: 3.6649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2706 loss: 2.2706 2022/08/18 23:41:22 - mmengine - INFO - Epoch(train) [170][1200/3757] lr: 2.5891e-02 eta: 1 day, 2:53:54 time: 0.2861 data_time: 0.0153 memory: 6332 grad_norm: 3.5841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4135 loss: 2.4135 2022/08/18 23:41:51 - mmengine - INFO - Epoch(train) [170][1300/3757] lr: 2.5891e-02 eta: 1 day, 2:53:10 time: 0.2844 data_time: 0.0149 memory: 6332 grad_norm: 3.5568 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3620 loss: 2.3620 2022/08/18 23:42:20 - mmengine - INFO - Epoch(train) [170][1400/3757] lr: 2.5891e-02 eta: 1 day, 2:52:26 time: 0.2872 data_time: 0.0162 memory: 6332 grad_norm: 3.7091 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6198 loss: 2.6198 2022/08/18 23:42:49 - mmengine - INFO - Epoch(train) [170][1500/3757] lr: 2.5891e-02 eta: 1 day, 2:51:40 time: 0.2895 data_time: 0.0160 memory: 6332 grad_norm: 3.6563 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6017 loss: 2.6017 2022/08/18 23:43:18 - mmengine - INFO - Epoch(train) [170][1600/3757] lr: 2.5891e-02 eta: 1 day, 2:50:56 time: 0.2857 data_time: 0.0161 memory: 6332 grad_norm: 3.7428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5634 loss: 2.5634 2022/08/18 23:43:47 - mmengine - INFO - Epoch(train) [170][1700/3757] lr: 2.5891e-02 eta: 1 day, 2:50:13 time: 0.2900 data_time: 0.0163 memory: 6332 grad_norm: 3.6211 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4348 loss: 2.4348 2022/08/18 23:44:16 - mmengine - INFO - Epoch(train) [170][1800/3757] lr: 2.5891e-02 eta: 1 day, 2:49:28 time: 0.2867 data_time: 0.0167 memory: 6332 grad_norm: 3.7052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4506 loss: 2.4506 2022/08/18 23:44:45 - mmengine - INFO - Epoch(train) [170][1900/3757] lr: 2.5891e-02 eta: 1 day, 2:48:50 time: 0.3006 data_time: 0.0159 memory: 6332 grad_norm: 3.5827 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4793 loss: 2.4793 2022/08/18 23:45:14 - mmengine - INFO - Epoch(train) [170][2000/3757] lr: 2.5891e-02 eta: 1 day, 2:48:07 time: 0.2843 data_time: 0.0151 memory: 6332 grad_norm: 3.7294 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6251 loss: 2.6251 2022/08/18 23:45:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:45:43 - mmengine - INFO - Epoch(train) [170][2100/3757] lr: 2.5891e-02 eta: 1 day, 2:47:21 time: 0.2842 data_time: 0.0150 memory: 6332 grad_norm: 3.6564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6618 loss: 2.6618 2022/08/18 23:46:12 - mmengine - INFO - Epoch(train) [170][2200/3757] lr: 2.5891e-02 eta: 1 day, 2:46:42 time: 0.2873 data_time: 0.0150 memory: 6332 grad_norm: 3.8303 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7537 loss: 2.7537 2022/08/18 23:46:41 - mmengine - INFO - Epoch(train) [170][2300/3757] lr: 2.5891e-02 eta: 1 day, 2:46:03 time: 0.2826 data_time: 0.0140 memory: 6332 grad_norm: 3.7278 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9044 loss: 2.9044 2022/08/18 23:47:11 - mmengine - INFO - Epoch(train) [170][2400/3757] lr: 2.5891e-02 eta: 1 day, 2:45:25 time: 0.2848 data_time: 0.0159 memory: 6332 grad_norm: 3.6679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3028 loss: 2.3028 2022/08/18 23:47:40 - mmengine - INFO - Epoch(train) [170][2500/3757] lr: 2.5891e-02 eta: 1 day, 2:44:44 time: 0.2874 data_time: 0.0195 memory: 6332 grad_norm: 3.7007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7099 loss: 2.7099 2022/08/18 23:48:09 - mmengine - INFO - Epoch(train) [170][2600/3757] lr: 2.5891e-02 eta: 1 day, 2:44:04 time: 0.2909 data_time: 0.0168 memory: 6332 grad_norm: 3.7853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4069 loss: 2.4069 2022/08/18 23:48:38 - mmengine - INFO - Epoch(train) [170][2700/3757] lr: 2.5891e-02 eta: 1 day, 2:43:22 time: 0.2883 data_time: 0.0165 memory: 6332 grad_norm: 3.8053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1970 loss: 2.1970 2022/08/18 23:49:07 - mmengine - INFO - Epoch(train) [170][2800/3757] lr: 2.5891e-02 eta: 1 day, 2:42:47 time: 0.3123 data_time: 0.0150 memory: 6332 grad_norm: 3.6783 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3652 loss: 2.3652 2022/08/18 23:49:37 - mmengine - INFO - Epoch(train) [170][2900/3757] lr: 2.5891e-02 eta: 1 day, 2:42:08 time: 0.2862 data_time: 0.0155 memory: 6332 grad_norm: 3.6406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/08/18 23:50:07 - mmengine - INFO - Epoch(train) [170][3000/3757] lr: 2.5891e-02 eta: 1 day, 2:41:46 time: 0.3419 data_time: 0.0178 memory: 6332 grad_norm: 3.6946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5422 loss: 2.5422 2022/08/18 23:50:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:50:36 - mmengine - INFO - Epoch(train) [170][3100/3757] lr: 2.5891e-02 eta: 1 day, 2:41:05 time: 0.2867 data_time: 0.0153 memory: 6332 grad_norm: 3.7952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6551 loss: 2.6551 2022/08/18 23:51:06 - mmengine - INFO - Epoch(train) [170][3200/3757] lr: 2.5891e-02 eta: 1 day, 2:40:42 time: 0.3336 data_time: 0.0160 memory: 6332 grad_norm: 3.6462 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7410 loss: 2.7410 2022/08/18 23:51:35 - mmengine - INFO - Epoch(train) [170][3300/3757] lr: 2.5891e-02 eta: 1 day, 2:40:00 time: 0.2838 data_time: 0.0153 memory: 6332 grad_norm: 3.6860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5422 loss: 2.5422 2022/08/18 23:52:04 - mmengine - INFO - Epoch(train) [170][3400/3757] lr: 2.5891e-02 eta: 1 day, 2:39:18 time: 0.2844 data_time: 0.0156 memory: 6332 grad_norm: 3.5967 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7159 loss: 2.7159 2022/08/18 23:52:33 - mmengine - INFO - Epoch(train) [170][3500/3757] lr: 2.5891e-02 eta: 1 day, 2:38:35 time: 0.2865 data_time: 0.0161 memory: 6332 grad_norm: 3.6137 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2704 loss: 2.2704 2022/08/18 23:53:02 - mmengine - INFO - Epoch(train) [170][3600/3757] lr: 2.5891e-02 eta: 1 day, 2:37:51 time: 0.2862 data_time: 0.0166 memory: 6332 grad_norm: 3.6352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3044 loss: 2.3044 2022/08/18 23:53:31 - mmengine - INFO - Epoch(train) [170][3700/3757] lr: 2.5891e-02 eta: 1 day, 2:37:06 time: 0.2863 data_time: 0.0151 memory: 6332 grad_norm: 3.7276 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3369 loss: 2.3369 2022/08/18 23:53:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:53:48 - mmengine - INFO - Epoch(train) [170][3757/3757] lr: 2.5891e-02 eta: 1 day, 2:36:48 time: 0.3080 data_time: 0.0192 memory: 6332 grad_norm: 3.6019 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.5015 loss: 2.5015 2022/08/18 23:54:11 - mmengine - INFO - Epoch(val) [170][100/310] eta: 0:00:48 time: 0.2286 data_time: 0.1352 memory: 1147 2022/08/18 23:54:32 - mmengine - INFO - Epoch(val) [170][200/310] eta: 0:00:19 time: 0.1790 data_time: 0.0855 memory: 1147 2022/08/18 23:54:52 - mmengine - INFO - Epoch(val) [170][300/310] eta: 0:00:02 time: 0.2102 data_time: 0.1192 memory: 1147 2022/08/18 23:54:56 - mmengine - INFO - Epoch(val) [170][310/310] acc/top1: 0.5134 acc/top5: 0.7735 acc/mean1: 0.5135 2022/08/18 23:54:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_166.pth is removed 2022/08/18 23:54:59 - mmengine - INFO - The best checkpoint with 0.5134 acc/top1 at 171 epoch is saved to best_acc/top1_epoch_171.pth. 2022/08/18 23:55:29 - mmengine - INFO - Epoch(train) [171][100/3757] lr: 2.5355e-02 eta: 1 day, 2:35:01 time: 0.2921 data_time: 0.0162 memory: 6332 grad_norm: 3.6164 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3615 loss: 2.3615 2022/08/18 23:55:58 - mmengine - INFO - Epoch(train) [171][200/3757] lr: 2.5355e-02 eta: 1 day, 2:34:18 time: 0.2888 data_time: 0.0156 memory: 6332 grad_norm: 3.5736 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3050 loss: 2.3050 2022/08/18 23:56:27 - mmengine - INFO - Epoch(train) [171][300/3757] lr: 2.5355e-02 eta: 1 day, 2:33:39 time: 0.2862 data_time: 0.0164 memory: 6332 grad_norm: 3.6053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4789 loss: 2.4789 2022/08/18 23:56:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/18 23:56:56 - mmengine - INFO - Epoch(train) [171][400/3757] lr: 2.5355e-02 eta: 1 day, 2:32:57 time: 0.2855 data_time: 0.0160 memory: 6332 grad_norm: 3.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5082 loss: 2.5082 2022/08/18 23:57:25 - mmengine - INFO - Epoch(train) [171][500/3757] lr: 2.5355e-02 eta: 1 day, 2:32:22 time: 0.2849 data_time: 0.0157 memory: 6332 grad_norm: 3.5416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5405 loss: 2.5405 2022/08/18 23:57:54 - mmengine - INFO - Epoch(train) [171][600/3757] lr: 2.5355e-02 eta: 1 day, 2:31:42 time: 0.2847 data_time: 0.0156 memory: 6332 grad_norm: 3.4953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0822 loss: 2.0822 2022/08/18 23:58:23 - mmengine - INFO - Epoch(train) [171][700/3757] lr: 2.5355e-02 eta: 1 day, 2:31:05 time: 0.2843 data_time: 0.0156 memory: 6332 grad_norm: 3.7354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6967 loss: 2.6967 2022/08/18 23:58:53 - mmengine - INFO - Epoch(train) [171][800/3757] lr: 2.5355e-02 eta: 1 day, 2:30:28 time: 0.2847 data_time: 0.0155 memory: 6332 grad_norm: 3.6316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5604 loss: 2.5604 2022/08/18 23:59:22 - mmengine - INFO - Epoch(train) [171][900/3757] lr: 2.5355e-02 eta: 1 day, 2:29:49 time: 0.2868 data_time: 0.0169 memory: 6332 grad_norm: 3.7191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2374 loss: 2.2374 2022/08/18 23:59:51 - mmengine - INFO - Epoch(train) [171][1000/3757] lr: 2.5355e-02 eta: 1 day, 2:29:10 time: 0.2908 data_time: 0.0155 memory: 6332 grad_norm: 3.7111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5180 loss: 2.5180 2022/08/19 00:00:22 - mmengine - INFO - Epoch(train) [171][1100/3757] lr: 2.5355e-02 eta: 1 day, 2:29:06 time: 0.2875 data_time: 0.0169 memory: 6332 grad_norm: 3.7874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6500 loss: 2.6500 2022/08/19 00:00:52 - mmengine - INFO - Epoch(train) [171][1200/3757] lr: 2.5355e-02 eta: 1 day, 2:28:28 time: 0.2969 data_time: 0.0158 memory: 6332 grad_norm: 3.5447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3949 loss: 2.3949 2022/08/19 00:01:21 - mmengine - INFO - Epoch(train) [171][1300/3757] lr: 2.5355e-02 eta: 1 day, 2:27:48 time: 0.2953 data_time: 0.0184 memory: 6332 grad_norm: 3.6864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2763 loss: 2.2763 2022/08/19 00:01:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:01:50 - mmengine - INFO - Epoch(train) [171][1400/3757] lr: 2.5355e-02 eta: 1 day, 2:27:11 time: 0.2868 data_time: 0.0158 memory: 6332 grad_norm: 3.6238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3392 loss: 2.3392 2022/08/19 00:02:19 - mmengine - INFO - Epoch(train) [171][1500/3757] lr: 2.5355e-02 eta: 1 day, 2:26:35 time: 0.2972 data_time: 0.0164 memory: 6332 grad_norm: 3.6730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5933 loss: 2.5933 2022/08/19 00:02:48 - mmengine - INFO - Epoch(train) [171][1600/3757] lr: 2.5355e-02 eta: 1 day, 2:25:55 time: 0.2879 data_time: 0.0162 memory: 6332 grad_norm: 3.6655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2085 loss: 2.2085 2022/08/19 00:03:17 - mmengine - INFO - Epoch(train) [171][1700/3757] lr: 2.5355e-02 eta: 1 day, 2:25:18 time: 0.3001 data_time: 0.0181 memory: 6332 grad_norm: 3.6572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5941 loss: 2.5941 2022/08/19 00:03:46 - mmengine - INFO - Epoch(train) [171][1800/3757] lr: 2.5355e-02 eta: 1 day, 2:24:38 time: 0.2856 data_time: 0.0152 memory: 6332 grad_norm: 3.6300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3252 loss: 2.3252 2022/08/19 00:04:15 - mmengine - INFO - Epoch(train) [171][1900/3757] lr: 2.5355e-02 eta: 1 day, 2:23:57 time: 0.2849 data_time: 0.0156 memory: 6332 grad_norm: 3.5961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2784 loss: 2.2784 2022/08/19 00:04:44 - mmengine - INFO - Epoch(train) [171][2000/3757] lr: 2.5355e-02 eta: 1 day, 2:23:19 time: 0.2846 data_time: 0.0158 memory: 6332 grad_norm: 3.6588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3427 loss: 2.3427 2022/08/19 00:05:14 - mmengine - INFO - Epoch(train) [171][2100/3757] lr: 2.5355e-02 eta: 1 day, 2:22:43 time: 0.2850 data_time: 0.0165 memory: 6332 grad_norm: 3.7775 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7082 loss: 2.7082 2022/08/19 00:05:43 - mmengine - INFO - Epoch(train) [171][2200/3757] lr: 2.5355e-02 eta: 1 day, 2:22:04 time: 0.2850 data_time: 0.0167 memory: 6332 grad_norm: 3.6870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3920 loss: 2.3920 2022/08/19 00:06:12 - mmengine - INFO - Epoch(train) [171][2300/3757] lr: 2.5355e-02 eta: 1 day, 2:21:29 time: 0.2861 data_time: 0.0163 memory: 6332 grad_norm: 3.8158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4775 loss: 2.4775 2022/08/19 00:06:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:06:41 - mmengine - INFO - Epoch(train) [171][2400/3757] lr: 2.5355e-02 eta: 1 day, 2:20:56 time: 0.3142 data_time: 0.0185 memory: 6332 grad_norm: 3.5601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2785 loss: 2.2785 2022/08/19 00:07:11 - mmengine - INFO - Epoch(train) [171][2500/3757] lr: 2.5355e-02 eta: 1 day, 2:20:20 time: 0.2835 data_time: 0.0161 memory: 6332 grad_norm: 3.7493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5325 loss: 2.5325 2022/08/19 00:07:40 - mmengine - INFO - Epoch(train) [171][2600/3757] lr: 2.5355e-02 eta: 1 day, 2:19:43 time: 0.3015 data_time: 0.0193 memory: 6332 grad_norm: 3.5787 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5542 loss: 2.5542 2022/08/19 00:08:09 - mmengine - INFO - Epoch(train) [171][2700/3757] lr: 2.5355e-02 eta: 1 day, 2:19:05 time: 0.2840 data_time: 0.0154 memory: 6332 grad_norm: 3.6801 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6943 loss: 2.6943 2022/08/19 00:08:38 - mmengine - INFO - Epoch(train) [171][2800/3757] lr: 2.5355e-02 eta: 1 day, 2:18:29 time: 0.2979 data_time: 0.0162 memory: 6332 grad_norm: 3.7107 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5845 loss: 2.5845 2022/08/19 00:09:07 - mmengine - INFO - Epoch(train) [171][2900/3757] lr: 2.5355e-02 eta: 1 day, 2:17:53 time: 0.2954 data_time: 0.0151 memory: 6332 grad_norm: 3.6803 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4758 loss: 2.4758 2022/08/19 00:09:36 - mmengine - INFO - Epoch(train) [171][3000/3757] lr: 2.5355e-02 eta: 1 day, 2:17:13 time: 0.2858 data_time: 0.0173 memory: 6332 grad_norm: 3.6560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7590 loss: 2.7590 2022/08/19 00:10:06 - mmengine - INFO - Epoch(train) [171][3100/3757] lr: 2.5355e-02 eta: 1 day, 2:16:42 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 3.6269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5868 loss: 2.5868 2022/08/19 00:10:35 - mmengine - INFO - Epoch(train) [171][3200/3757] lr: 2.5355e-02 eta: 1 day, 2:16:04 time: 0.2852 data_time: 0.0157 memory: 6332 grad_norm: 3.7396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3667 loss: 2.3667 2022/08/19 00:11:04 - mmengine - INFO - Epoch(train) [171][3300/3757] lr: 2.5355e-02 eta: 1 day, 2:15:30 time: 0.2846 data_time: 0.0173 memory: 6332 grad_norm: 3.6378 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2449 loss: 2.2449 2022/08/19 00:11:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:11:33 - mmengine - INFO - Epoch(train) [171][3400/3757] lr: 2.5355e-02 eta: 1 day, 2:14:50 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.7102 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2490 loss: 2.2490 2022/08/19 00:12:02 - mmengine - INFO - Epoch(train) [171][3500/3757] lr: 2.5355e-02 eta: 1 day, 2:14:15 time: 0.2926 data_time: 0.0167 memory: 6332 grad_norm: 3.6803 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3704 loss: 2.3704 2022/08/19 00:12:32 - mmengine - INFO - Epoch(train) [171][3600/3757] lr: 2.5355e-02 eta: 1 day, 2:13:39 time: 0.2841 data_time: 0.0167 memory: 6332 grad_norm: 3.8026 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4203 loss: 2.4203 2022/08/19 00:13:01 - mmengine - INFO - Epoch(train) [171][3700/3757] lr: 2.5355e-02 eta: 1 day, 2:13:05 time: 0.2961 data_time: 0.0170 memory: 6332 grad_norm: 3.6563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4622 loss: 2.4622 2022/08/19 00:13:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:13:17 - mmengine - INFO - Epoch(train) [171][3757/3757] lr: 2.5355e-02 eta: 1 day, 2:12:50 time: 0.2663 data_time: 0.0145 memory: 6332 grad_norm: 3.6986 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3202 loss: 2.3202 2022/08/19 00:13:48 - mmengine - INFO - Epoch(train) [172][100/3757] lr: 2.4823e-02 eta: 1 day, 2:11:32 time: 0.2865 data_time: 0.0170 memory: 6332 grad_norm: 3.7130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3479 loss: 2.3479 2022/08/19 00:14:18 - mmengine - INFO - Epoch(train) [172][200/3757] lr: 2.4823e-02 eta: 1 day, 2:11:02 time: 0.2973 data_time: 0.0162 memory: 6332 grad_norm: 3.7758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2998 loss: 2.2998 2022/08/19 00:14:47 - mmengine - INFO - Epoch(train) [172][300/3757] lr: 2.4823e-02 eta: 1 day, 2:10:24 time: 0.2854 data_time: 0.0167 memory: 6332 grad_norm: 3.6246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7019 loss: 2.7019 2022/08/19 00:15:16 - mmengine - INFO - Epoch(train) [172][400/3757] lr: 2.4823e-02 eta: 1 day, 2:09:51 time: 0.2848 data_time: 0.0160 memory: 6332 grad_norm: 3.6070 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2575 loss: 2.2575 2022/08/19 00:15:46 - mmengine - INFO - Epoch(train) [172][500/3757] lr: 2.4823e-02 eta: 1 day, 2:09:17 time: 0.2857 data_time: 0.0155 memory: 6332 grad_norm: 3.6781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4089 loss: 2.4089 2022/08/19 00:16:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:16:15 - mmengine - INFO - Epoch(train) [172][600/3757] lr: 2.4823e-02 eta: 1 day, 2:08:39 time: 0.2848 data_time: 0.0164 memory: 6332 grad_norm: 3.7219 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/08/19 00:16:44 - mmengine - INFO - Epoch(train) [172][700/3757] lr: 2.4823e-02 eta: 1 day, 2:08:02 time: 0.2845 data_time: 0.0163 memory: 6332 grad_norm: 3.6984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6537 loss: 2.6537 2022/08/19 00:17:13 - mmengine - INFO - Epoch(train) [172][800/3757] lr: 2.4823e-02 eta: 1 day, 2:07:25 time: 0.2879 data_time: 0.0166 memory: 6332 grad_norm: 3.6933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2450 loss: 2.2450 2022/08/19 00:17:42 - mmengine - INFO - Epoch(train) [172][900/3757] lr: 2.4823e-02 eta: 1 day, 2:06:50 time: 0.2945 data_time: 0.0170 memory: 6332 grad_norm: 3.8514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6610 loss: 2.6610 2022/08/19 00:18:11 - mmengine - INFO - Epoch(train) [172][1000/3757] lr: 2.4823e-02 eta: 1 day, 2:06:11 time: 0.2867 data_time: 0.0171 memory: 6332 grad_norm: 3.6582 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7242 loss: 2.7242 2022/08/19 00:18:40 - mmengine - INFO - Epoch(train) [172][1100/3757] lr: 2.4823e-02 eta: 1 day, 2:05:33 time: 0.2901 data_time: 0.0175 memory: 6332 grad_norm: 3.6885 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5729 loss: 2.5729 2022/08/19 00:19:09 - mmengine - INFO - Epoch(train) [172][1200/3757] lr: 2.4823e-02 eta: 1 day, 2:04:57 time: 0.2878 data_time: 0.0161 memory: 6332 grad_norm: 3.6953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2197 loss: 2.2197 2022/08/19 00:19:38 - mmengine - INFO - Epoch(train) [172][1300/3757] lr: 2.4823e-02 eta: 1 day, 2:04:24 time: 0.2967 data_time: 0.0170 memory: 6332 grad_norm: 3.6851 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3597 loss: 2.3597 2022/08/19 00:20:07 - mmengine - INFO - Epoch(train) [172][1400/3757] lr: 2.4823e-02 eta: 1 day, 2:03:46 time: 0.2843 data_time: 0.0163 memory: 6332 grad_norm: 3.6399 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6746 loss: 2.6746 2022/08/19 00:20:36 - mmengine - INFO - Epoch(train) [172][1500/3757] lr: 2.4823e-02 eta: 1 day, 2:03:10 time: 0.2842 data_time: 0.0170 memory: 6332 grad_norm: 3.8792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4508 loss: 2.4508 2022/08/19 00:20:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:21:05 - mmengine - INFO - Epoch(train) [172][1600/3757] lr: 2.4823e-02 eta: 1 day, 2:02:33 time: 0.2846 data_time: 0.0164 memory: 6332 grad_norm: 3.6267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3891 loss: 2.3891 2022/08/19 00:21:34 - mmengine - INFO - Epoch(train) [172][1700/3757] lr: 2.4823e-02 eta: 1 day, 2:01:55 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 3.6912 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1535 loss: 2.1535 2022/08/19 00:22:04 - mmengine - INFO - Epoch(train) [172][1800/3757] lr: 2.4823e-02 eta: 1 day, 2:01:22 time: 0.2875 data_time: 0.0166 memory: 6332 grad_norm: 3.7539 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6890 loss: 2.6890 2022/08/19 00:22:32 - mmengine - INFO - Epoch(train) [172][1900/3757] lr: 2.4823e-02 eta: 1 day, 2:00:42 time: 0.2856 data_time: 0.0169 memory: 6332 grad_norm: 3.7091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3030 loss: 2.3030 2022/08/19 00:23:01 - mmengine - INFO - Epoch(train) [172][2000/3757] lr: 2.4823e-02 eta: 1 day, 2:00:05 time: 0.2919 data_time: 0.0160 memory: 6332 grad_norm: 3.6556 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4143 loss: 2.4143 2022/08/19 00:23:31 - mmengine - INFO - Epoch(train) [172][2100/3757] lr: 2.4823e-02 eta: 1 day, 1:59:28 time: 0.2848 data_time: 0.0160 memory: 6332 grad_norm: 3.8052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4843 loss: 2.4843 2022/08/19 00:24:00 - mmengine - INFO - Epoch(train) [172][2200/3757] lr: 2.4823e-02 eta: 1 day, 1:58:52 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 3.7410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4782 loss: 2.4782 2022/08/19 00:24:28 - mmengine - INFO - Epoch(train) [172][2300/3757] lr: 2.4823e-02 eta: 1 day, 1:58:14 time: 0.2859 data_time: 0.0157 memory: 6332 grad_norm: 3.7319 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5091 loss: 2.5091 2022/08/19 00:24:57 - mmengine - INFO - Epoch(train) [172][2400/3757] lr: 2.4823e-02 eta: 1 day, 1:57:35 time: 0.2842 data_time: 0.0164 memory: 6332 grad_norm: 3.6631 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3469 loss: 2.3469 2022/08/19 00:25:26 - mmengine - INFO - Epoch(train) [172][2500/3757] lr: 2.4823e-02 eta: 1 day, 1:56:59 time: 0.2856 data_time: 0.0154 memory: 6332 grad_norm: 3.7312 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6326 loss: 2.6326 2022/08/19 00:25:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:25:55 - mmengine - INFO - Epoch(train) [172][2600/3757] lr: 2.4823e-02 eta: 1 day, 1:56:23 time: 0.2859 data_time: 0.0160 memory: 6332 grad_norm: 3.7643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5769 loss: 2.5769 2022/08/19 00:26:25 - mmengine - INFO - Epoch(train) [172][2700/3757] lr: 2.4823e-02 eta: 1 day, 1:55:50 time: 0.2853 data_time: 0.0166 memory: 6332 grad_norm: 3.7327 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5940 loss: 2.5940 2022/08/19 00:26:54 - mmengine - INFO - Epoch(train) [172][2800/3757] lr: 2.4823e-02 eta: 1 day, 1:55:17 time: 0.2884 data_time: 0.0164 memory: 6332 grad_norm: 3.6689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6981 loss: 2.6981 2022/08/19 00:27:23 - mmengine - INFO - Epoch(train) [172][2900/3757] lr: 2.4823e-02 eta: 1 day, 1:54:41 time: 0.2898 data_time: 0.0184 memory: 6332 grad_norm: 3.7311 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5340 loss: 2.5340 2022/08/19 00:27:52 - mmengine - INFO - Epoch(train) [172][3000/3757] lr: 2.4823e-02 eta: 1 day, 1:54:06 time: 0.2967 data_time: 0.0167 memory: 6332 grad_norm: 3.6027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6516 loss: 2.6516 2022/08/19 00:28:21 - mmengine - INFO - Epoch(train) [172][3100/3757] lr: 2.4823e-02 eta: 1 day, 1:53:29 time: 0.2874 data_time: 0.0174 memory: 6332 grad_norm: 3.7087 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4826 loss: 2.4826 2022/08/19 00:28:50 - mmengine - INFO - Epoch(train) [172][3200/3757] lr: 2.4823e-02 eta: 1 day, 1:52:56 time: 0.3027 data_time: 0.0222 memory: 6332 grad_norm: 3.6335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5153 loss: 2.5153 2022/08/19 00:29:20 - mmengine - INFO - Epoch(train) [172][3300/3757] lr: 2.4823e-02 eta: 1 day, 1:52:20 time: 0.2831 data_time: 0.0162 memory: 6332 grad_norm: 3.6773 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3152 loss: 2.3152 2022/08/19 00:29:49 - mmengine - INFO - Epoch(train) [172][3400/3757] lr: 2.4823e-02 eta: 1 day, 1:51:43 time: 0.2831 data_time: 0.0156 memory: 6332 grad_norm: 3.6316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4280 loss: 2.4280 2022/08/19 00:30:17 - mmengine - INFO - Epoch(train) [172][3500/3757] lr: 2.4823e-02 eta: 1 day, 1:51:07 time: 0.2845 data_time: 0.0161 memory: 6332 grad_norm: 3.7707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4421 loss: 2.4421 2022/08/19 00:30:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:30:46 - mmengine - INFO - Epoch(train) [172][3600/3757] lr: 2.4823e-02 eta: 1 day, 1:50:31 time: 0.2854 data_time: 0.0188 memory: 6332 grad_norm: 3.5933 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2309 loss: 2.2309 2022/08/19 00:31:15 - mmengine - INFO - Epoch(train) [172][3700/3757] lr: 2.4823e-02 eta: 1 day, 1:49:54 time: 0.2830 data_time: 0.0160 memory: 6332 grad_norm: 3.6780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3636 loss: 2.3636 2022/08/19 00:31:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:31:32 - mmengine - INFO - Epoch(train) [172][3757/3757] lr: 2.4823e-02 eta: 1 day, 1:49:43 time: 0.2679 data_time: 0.0163 memory: 6332 grad_norm: 3.7105 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.4872 loss: 2.4872 2022/08/19 00:31:32 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/19 00:32:06 - mmengine - INFO - Epoch(train) [173][100/3757] lr: 2.4295e-02 eta: 1 day, 1:48:19 time: 0.2834 data_time: 0.0164 memory: 6332 grad_norm: 3.7351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3700 loss: 2.3700 2022/08/19 00:32:35 - mmengine - INFO - Epoch(train) [173][200/3757] lr: 2.4295e-02 eta: 1 day, 1:47:42 time: 0.2874 data_time: 0.0170 memory: 6332 grad_norm: 3.6549 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1182 loss: 2.1182 2022/08/19 00:33:04 - mmengine - INFO - Epoch(train) [173][300/3757] lr: 2.4295e-02 eta: 1 day, 1:47:06 time: 0.2881 data_time: 0.0179 memory: 6332 grad_norm: 3.7161 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0644 loss: 2.0644 2022/08/19 00:33:33 - mmengine - INFO - Epoch(train) [173][400/3757] lr: 2.4295e-02 eta: 1 day, 1:46:29 time: 0.2906 data_time: 0.0177 memory: 6332 grad_norm: 3.7027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3986 loss: 2.3986 2022/08/19 00:34:02 - mmengine - INFO - Epoch(train) [173][500/3757] lr: 2.4295e-02 eta: 1 day, 1:45:56 time: 0.2929 data_time: 0.0180 memory: 6332 grad_norm: 3.7478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4520 loss: 2.4520 2022/08/19 00:34:31 - mmengine - INFO - Epoch(train) [173][600/3757] lr: 2.4295e-02 eta: 1 day, 1:45:20 time: 0.2955 data_time: 0.0188 memory: 6332 grad_norm: 3.7475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3112 loss: 2.3112 2022/08/19 00:35:00 - mmengine - INFO - Epoch(train) [173][700/3757] lr: 2.4295e-02 eta: 1 day, 1:44:44 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 3.7992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/08/19 00:35:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:35:29 - mmengine - INFO - Epoch(train) [173][800/3757] lr: 2.4295e-02 eta: 1 day, 1:44:08 time: 0.2851 data_time: 0.0174 memory: 6332 grad_norm: 3.7033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6757 loss: 2.6757 2022/08/19 00:35:58 - mmengine - INFO - Epoch(train) [173][900/3757] lr: 2.4295e-02 eta: 1 day, 1:43:33 time: 0.2842 data_time: 0.0173 memory: 6332 grad_norm: 3.9039 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5541 loss: 2.5541 2022/08/19 00:36:27 - mmengine - INFO - Epoch(train) [173][1000/3757] lr: 2.4295e-02 eta: 1 day, 1:42:58 time: 0.2872 data_time: 0.0175 memory: 6332 grad_norm: 3.7494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/08/19 00:36:56 - mmengine - INFO - Epoch(train) [173][1100/3757] lr: 2.4295e-02 eta: 1 day, 1:42:23 time: 0.2836 data_time: 0.0170 memory: 6332 grad_norm: 3.8033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4542 loss: 2.4542 2022/08/19 00:37:25 - mmengine - INFO - Epoch(train) [173][1200/3757] lr: 2.4295e-02 eta: 1 day, 1:41:48 time: 0.2905 data_time: 0.0176 memory: 6332 grad_norm: 3.7420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4383 loss: 2.4383 2022/08/19 00:37:54 - mmengine - INFO - Epoch(train) [173][1300/3757] lr: 2.4295e-02 eta: 1 day, 1:41:13 time: 0.2897 data_time: 0.0183 memory: 6332 grad_norm: 3.6541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6278 loss: 2.6278 2022/08/19 00:38:23 - mmengine - INFO - Epoch(train) [173][1400/3757] lr: 2.4295e-02 eta: 1 day, 1:40:42 time: 0.2930 data_time: 0.0183 memory: 6332 grad_norm: 3.7724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7290 loss: 2.7290 2022/08/19 00:38:52 - mmengine - INFO - Epoch(train) [173][1500/3757] lr: 2.4295e-02 eta: 1 day, 1:40:06 time: 0.2894 data_time: 0.0167 memory: 6332 grad_norm: 3.6710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2909 loss: 2.2909 2022/08/19 00:39:22 - mmengine - INFO - Epoch(train) [173][1600/3757] lr: 2.4295e-02 eta: 1 day, 1:39:34 time: 0.2973 data_time: 0.0180 memory: 6332 grad_norm: 3.7675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6262 loss: 2.6262 2022/08/19 00:39:51 - mmengine - INFO - Epoch(train) [173][1700/3757] lr: 2.4295e-02 eta: 1 day, 1:39:00 time: 0.2945 data_time: 0.0187 memory: 6332 grad_norm: 3.8439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2081 loss: 2.2081 2022/08/19 00:40:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:40:20 - mmengine - INFO - Epoch(train) [173][1800/3757] lr: 2.4295e-02 eta: 1 day, 1:38:27 time: 0.2852 data_time: 0.0178 memory: 6332 grad_norm: 3.7646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4879 loss: 2.4879 2022/08/19 00:40:53 - mmengine - INFO - Epoch(train) [173][1900/3757] lr: 2.4295e-02 eta: 1 day, 1:38:30 time: 0.2900 data_time: 0.0189 memory: 6332 grad_norm: 3.6749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6552 loss: 2.6552 2022/08/19 00:41:22 - mmengine - INFO - Epoch(train) [173][2000/3757] lr: 2.4295e-02 eta: 1 day, 1:37:55 time: 0.2855 data_time: 0.0174 memory: 6332 grad_norm: 3.7932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5329 loss: 2.5329 2022/08/19 00:41:51 - mmengine - INFO - Epoch(train) [173][2100/3757] lr: 2.4295e-02 eta: 1 day, 1:37:23 time: 0.2955 data_time: 0.0197 memory: 6332 grad_norm: 3.7673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6947 loss: 2.6947 2022/08/19 00:42:20 - mmengine - INFO - Epoch(train) [173][2200/3757] lr: 2.4295e-02 eta: 1 day, 1:36:46 time: 0.2858 data_time: 0.0161 memory: 6332 grad_norm: 3.6713 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6086 loss: 2.6086 2022/08/19 00:42:49 - mmengine - INFO - Epoch(train) [173][2300/3757] lr: 2.4295e-02 eta: 1 day, 1:36:14 time: 0.2848 data_time: 0.0171 memory: 6332 grad_norm: 3.7047 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8202 loss: 2.8202 2022/08/19 00:43:19 - mmengine - INFO - Epoch(train) [173][2400/3757] lr: 2.4295e-02 eta: 1 day, 1:35:42 time: 0.2853 data_time: 0.0167 memory: 6332 grad_norm: 3.6844 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4759 loss: 2.4759 2022/08/19 00:43:48 - mmengine - INFO - Epoch(train) [173][2500/3757] lr: 2.4295e-02 eta: 1 day, 1:35:08 time: 0.2851 data_time: 0.0171 memory: 6332 grad_norm: 3.7251 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5489 loss: 2.5489 2022/08/19 00:44:17 - mmengine - INFO - Epoch(train) [173][2600/3757] lr: 2.4295e-02 eta: 1 day, 1:34:33 time: 0.2858 data_time: 0.0171 memory: 6332 grad_norm: 3.7126 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.3796 loss: 2.3796 2022/08/19 00:44:48 - mmengine - INFO - Epoch(train) [173][2700/3757] lr: 2.4295e-02 eta: 1 day, 1:34:17 time: 0.2852 data_time: 0.0161 memory: 6332 grad_norm: 3.8065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9437 loss: 2.9437 2022/08/19 00:45:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:45:20 - mmengine - INFO - Epoch(train) [173][2800/3757] lr: 2.4295e-02 eta: 1 day, 1:34:11 time: 0.2849 data_time: 0.0169 memory: 6332 grad_norm: 3.6319 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/08/19 00:45:49 - mmengine - INFO - Epoch(train) [173][2900/3757] lr: 2.4295e-02 eta: 1 day, 1:33:38 time: 0.2851 data_time: 0.0168 memory: 6332 grad_norm: 3.8298 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5946 loss: 2.5946 2022/08/19 00:46:36 - mmengine - INFO - Epoch(train) [173][3000/3757] lr: 2.4295e-02 eta: 1 day, 1:35:56 time: 0.3404 data_time: 0.0179 memory: 6332 grad_norm: 3.6881 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3905 loss: 2.3905 2022/08/19 00:47:10 - mmengine - INFO - Epoch(train) [173][3100/3757] lr: 2.4295e-02 eta: 1 day, 1:36:05 time: 0.3337 data_time: 0.0198 memory: 6332 grad_norm: 3.7639 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7131 loss: 2.7131 2022/08/19 00:50:46 - mmengine - INFO - Epoch(train) [173][3200/3757] lr: 2.4295e-02 eta: 1 day, 2:04:43 time: 0.3187 data_time: 0.0188 memory: 6332 grad_norm: 3.8841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5977 loss: 2.5977 2022/08/19 00:51:15 - mmengine - INFO - Epoch(train) [173][3300/3757] lr: 2.4295e-02 eta: 1 day, 2:04:00 time: 0.2867 data_time: 0.0177 memory: 6332 grad_norm: 3.6471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5153 loss: 2.5153 2022/08/19 00:51:44 - mmengine - INFO - Epoch(train) [173][3400/3757] lr: 2.4295e-02 eta: 1 day, 2:03:18 time: 0.2869 data_time: 0.0173 memory: 6332 grad_norm: 3.7377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4176 loss: 2.4176 2022/08/19 00:52:13 - mmengine - INFO - Epoch(train) [173][3500/3757] lr: 2.4295e-02 eta: 1 day, 2:02:37 time: 0.2881 data_time: 0.0169 memory: 6332 grad_norm: 3.6588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1998 loss: 2.1998 2022/08/19 00:52:42 - mmengine - INFO - Epoch(train) [173][3600/3757] lr: 2.4295e-02 eta: 1 day, 2:01:57 time: 0.2862 data_time: 0.0172 memory: 6332 grad_norm: 3.7476 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1192 loss: 2.1192 2022/08/19 00:53:11 - mmengine - INFO - Epoch(train) [173][3700/3757] lr: 2.4295e-02 eta: 1 day, 2:01:18 time: 0.2944 data_time: 0.0165 memory: 6332 grad_norm: 3.6862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4794 loss: 2.4794 2022/08/19 00:53:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:53:28 - mmengine - INFO - Epoch(train) [173][3757/3757] lr: 2.4295e-02 eta: 1 day, 2:01:08 time: 0.2680 data_time: 0.0156 memory: 6332 grad_norm: 3.7057 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3960 loss: 2.3960 2022/08/19 00:53:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:54:00 - mmengine - INFO - Epoch(train) [174][100/3757] lr: 2.3771e-02 eta: 1 day, 1:59:57 time: 0.2918 data_time: 0.0165 memory: 6332 grad_norm: 3.7714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3337 loss: 2.3337 2022/08/19 00:54:28 - mmengine - INFO - Epoch(train) [174][200/3757] lr: 2.3771e-02 eta: 1 day, 1:59:16 time: 0.2861 data_time: 0.0177 memory: 6332 grad_norm: 3.7668 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5687 loss: 2.5687 2022/08/19 00:54:58 - mmengine - INFO - Epoch(train) [174][300/3757] lr: 2.3771e-02 eta: 1 day, 1:58:36 time: 0.2828 data_time: 0.0160 memory: 6332 grad_norm: 3.7595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7286 loss: 2.7286 2022/08/19 00:55:27 - mmengine - INFO - Epoch(train) [174][400/3757] lr: 2.3771e-02 eta: 1 day, 1:57:55 time: 0.2858 data_time: 0.0170 memory: 6332 grad_norm: 3.5932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0750 loss: 2.0750 2022/08/19 00:55:56 - mmengine - INFO - Epoch(train) [174][500/3757] lr: 2.3771e-02 eta: 1 day, 1:57:15 time: 0.2881 data_time: 0.0192 memory: 6332 grad_norm: 3.5916 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2389 loss: 2.2389 2022/08/19 00:56:25 - mmengine - INFO - Epoch(train) [174][600/3757] lr: 2.3771e-02 eta: 1 day, 1:56:37 time: 0.2847 data_time: 0.0159 memory: 6332 grad_norm: 3.8157 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4697 loss: 2.4697 2022/08/19 00:56:54 - mmengine - INFO - Epoch(train) [174][700/3757] lr: 2.3771e-02 eta: 1 day, 1:55:57 time: 0.3011 data_time: 0.0185 memory: 6332 grad_norm: 3.7658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3377 loss: 2.3377 2022/08/19 00:57:23 - mmengine - INFO - Epoch(train) [174][800/3757] lr: 2.3771e-02 eta: 1 day, 1:55:16 time: 0.2844 data_time: 0.0161 memory: 6332 grad_norm: 3.8861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3708 loss: 2.3708 2022/08/19 00:57:52 - mmengine - INFO - Epoch(train) [174][900/3757] lr: 2.3771e-02 eta: 1 day, 1:54:36 time: 0.2897 data_time: 0.0179 memory: 6332 grad_norm: 3.8461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5605 loss: 2.5605 2022/08/19 00:58:21 - mmengine - INFO - Epoch(train) [174][1000/3757] lr: 2.3771e-02 eta: 1 day, 1:53:55 time: 0.2838 data_time: 0.0160 memory: 6332 grad_norm: 3.6839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4672 loss: 2.4672 2022/08/19 00:58:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 00:58:54 - mmengine - INFO - Epoch(train) [174][1100/3757] lr: 2.3771e-02 eta: 1 day, 1:53:45 time: 0.2976 data_time: 0.0177 memory: 6332 grad_norm: 3.7586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3551 loss: 2.3551 2022/08/19 00:59:23 - mmengine - INFO - Epoch(train) [174][1200/3757] lr: 2.3771e-02 eta: 1 day, 1:53:06 time: 0.2891 data_time: 0.0170 memory: 6332 grad_norm: 3.8439 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3250 loss: 2.3250 2022/08/19 00:59:52 - mmengine - INFO - Epoch(train) [174][1300/3757] lr: 2.3771e-02 eta: 1 day, 1:52:31 time: 0.2947 data_time: 0.0174 memory: 6332 grad_norm: 3.8173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2398 loss: 2.2398 2022/08/19 01:00:21 - mmengine - INFO - Epoch(train) [174][1400/3757] lr: 2.3771e-02 eta: 1 day, 1:51:52 time: 0.2872 data_time: 0.0170 memory: 6332 grad_norm: 3.6930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0905 loss: 2.0905 2022/08/19 01:00:50 - mmengine - INFO - Epoch(train) [174][1500/3757] lr: 2.3771e-02 eta: 1 day, 1:51:12 time: 0.2842 data_time: 0.0155 memory: 6332 grad_norm: 3.7671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4263 loss: 2.4263 2022/08/19 01:01:20 - mmengine - INFO - Epoch(train) [174][1600/3757] lr: 2.3771e-02 eta: 1 day, 1:50:40 time: 0.2849 data_time: 0.0167 memory: 6332 grad_norm: 3.8003 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3917 loss: 2.3917 2022/08/19 01:01:49 - mmengine - INFO - Epoch(train) [174][1700/3757] lr: 2.3771e-02 eta: 1 day, 1:50:00 time: 0.2847 data_time: 0.0176 memory: 6332 grad_norm: 3.6635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6184 loss: 2.6184 2022/08/19 01:02:19 - mmengine - INFO - Epoch(train) [174][1800/3757] lr: 2.3771e-02 eta: 1 day, 1:49:21 time: 0.2853 data_time: 0.0167 memory: 6332 grad_norm: 3.7613 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1031 loss: 2.1031 2022/08/19 01:02:47 - mmengine - INFO - Epoch(train) [174][1900/3757] lr: 2.3771e-02 eta: 1 day, 1:48:40 time: 0.2856 data_time: 0.0174 memory: 6332 grad_norm: 3.6838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1180 loss: 2.1180 2022/08/19 01:03:17 - mmengine - INFO - Epoch(train) [174][2000/3757] lr: 2.3771e-02 eta: 1 day, 1:48:07 time: 0.3247 data_time: 0.0168 memory: 6332 grad_norm: 3.9026 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3078 loss: 2.3078 2022/08/19 01:03:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:03:47 - mmengine - INFO - Epoch(train) [174][2100/3757] lr: 2.3771e-02 eta: 1 day, 1:47:35 time: 0.2845 data_time: 0.0169 memory: 6332 grad_norm: 3.7246 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3565 loss: 2.3565 2022/08/19 01:04:16 - mmengine - INFO - Epoch(train) [174][2200/3757] lr: 2.3771e-02 eta: 1 day, 1:46:57 time: 0.2943 data_time: 0.0193 memory: 6332 grad_norm: 3.7540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1871 loss: 2.1871 2022/08/19 01:04:45 - mmengine - INFO - Epoch(train) [174][2300/3757] lr: 2.3771e-02 eta: 1 day, 1:46:17 time: 0.2861 data_time: 0.0176 memory: 6332 grad_norm: 3.6944 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2799 loss: 2.2799 2022/08/19 01:05:14 - mmengine - INFO - Epoch(train) [174][2400/3757] lr: 2.3771e-02 eta: 1 day, 1:45:37 time: 0.2894 data_time: 0.0181 memory: 6332 grad_norm: 3.8032 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3358 loss: 2.3358 2022/08/19 01:05:43 - mmengine - INFO - Epoch(train) [174][2500/3757] lr: 2.3771e-02 eta: 1 day, 1:44:58 time: 0.2851 data_time: 0.0172 memory: 6332 grad_norm: 3.6973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2963 loss: 2.2963 2022/08/19 01:06:12 - mmengine - INFO - Epoch(train) [174][2600/3757] lr: 2.3771e-02 eta: 1 day, 1:44:18 time: 0.2935 data_time: 0.0172 memory: 6332 grad_norm: 3.7604 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3630 loss: 2.3630 2022/08/19 01:06:42 - mmengine - INFO - Epoch(train) [174][2700/3757] lr: 2.3771e-02 eta: 1 day, 1:43:41 time: 0.2864 data_time: 0.0192 memory: 6332 grad_norm: 3.6542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1778 loss: 2.1778 2022/08/19 01:07:11 - mmengine - INFO - Epoch(train) [174][2800/3757] lr: 2.3771e-02 eta: 1 day, 1:43:02 time: 0.2857 data_time: 0.0177 memory: 6332 grad_norm: 3.8555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4424 loss: 2.4424 2022/08/19 01:07:40 - mmengine - INFO - Epoch(train) [174][2900/3757] lr: 2.3771e-02 eta: 1 day, 1:42:23 time: 0.2850 data_time: 0.0183 memory: 6332 grad_norm: 3.7637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5715 loss: 2.5715 2022/08/19 01:08:09 - mmengine - INFO - Epoch(train) [174][3000/3757] lr: 2.3771e-02 eta: 1 day, 1:41:45 time: 0.2860 data_time: 0.0170 memory: 6332 grad_norm: 3.7494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3659 loss: 2.3659 2022/08/19 01:08:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:08:38 - mmengine - INFO - Epoch(train) [174][3100/3757] lr: 2.3771e-02 eta: 1 day, 1:41:07 time: 0.2926 data_time: 0.0189 memory: 6332 grad_norm: 3.7363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7377 loss: 2.7377 2022/08/19 01:09:07 - mmengine - INFO - Epoch(train) [174][3200/3757] lr: 2.3771e-02 eta: 1 day, 1:40:28 time: 0.2856 data_time: 0.0167 memory: 6332 grad_norm: 3.7310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4304 loss: 2.4304 2022/08/19 01:09:36 - mmengine - INFO - Epoch(train) [174][3300/3757] lr: 2.3771e-02 eta: 1 day, 1:39:50 time: 0.2986 data_time: 0.0164 memory: 6332 grad_norm: 3.7595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2290 loss: 2.2290 2022/08/19 01:10:06 - mmengine - INFO - Epoch(train) [174][3400/3757] lr: 2.3771e-02 eta: 1 day, 1:39:13 time: 0.2837 data_time: 0.0158 memory: 6332 grad_norm: 3.8340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5223 loss: 2.5223 2022/08/19 01:10:35 - mmengine - INFO - Epoch(train) [174][3500/3757] lr: 2.3771e-02 eta: 1 day, 1:38:39 time: 0.3046 data_time: 0.0154 memory: 6332 grad_norm: 3.9720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6628 loss: 2.6628 2022/08/19 01:11:04 - mmengine - INFO - Epoch(train) [174][3600/3757] lr: 2.3771e-02 eta: 1 day, 1:38:00 time: 0.2855 data_time: 0.0179 memory: 6332 grad_norm: 3.8326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6888 loss: 2.6888 2022/08/19 01:11:34 - mmengine - INFO - Epoch(train) [174][3700/3757] lr: 2.3771e-02 eta: 1 day, 1:37:23 time: 0.2963 data_time: 0.0188 memory: 6332 grad_norm: 3.7533 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5974 loss: 2.5974 2022/08/19 01:11:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:11:50 - mmengine - INFO - Epoch(train) [174][3757/3757] lr: 2.3771e-02 eta: 1 day, 1:37:07 time: 0.2689 data_time: 0.0151 memory: 6332 grad_norm: 3.8103 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.5964 loss: 2.5964 2022/08/19 01:12:21 - mmengine - INFO - Epoch(train) [175][100/3757] lr: 2.3250e-02 eta: 1 day, 1:35:58 time: 0.2859 data_time: 0.0170 memory: 6332 grad_norm: 3.7477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5579 loss: 2.5579 2022/08/19 01:12:50 - mmengine - INFO - Epoch(train) [175][200/3757] lr: 2.3250e-02 eta: 1 day, 1:35:21 time: 0.2850 data_time: 0.0174 memory: 6332 grad_norm: 3.7895 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3956 loss: 2.3956 2022/08/19 01:13:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:13:19 - mmengine - INFO - Epoch(train) [175][300/3757] lr: 2.3250e-02 eta: 1 day, 1:34:42 time: 0.2861 data_time: 0.0173 memory: 6332 grad_norm: 3.7199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5552 loss: 2.5552 2022/08/19 01:13:48 - mmengine - INFO - Epoch(train) [175][400/3757] lr: 2.3250e-02 eta: 1 day, 1:34:03 time: 0.2867 data_time: 0.0175 memory: 6332 grad_norm: 3.8456 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5352 loss: 2.5352 2022/08/19 01:14:17 - mmengine - INFO - Epoch(train) [175][500/3757] lr: 2.3250e-02 eta: 1 day, 1:33:26 time: 0.2954 data_time: 0.0182 memory: 6332 grad_norm: 3.8918 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6246 loss: 2.6246 2022/08/19 01:14:46 - mmengine - INFO - Epoch(train) [175][600/3757] lr: 2.3250e-02 eta: 1 day, 1:32:48 time: 0.2906 data_time: 0.0167 memory: 6332 grad_norm: 3.8711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5318 loss: 2.5318 2022/08/19 01:15:16 - mmengine - INFO - Epoch(train) [175][700/3757] lr: 2.3250e-02 eta: 1 day, 1:32:13 time: 0.3004 data_time: 0.0183 memory: 6332 grad_norm: 3.8095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5371 loss: 2.5371 2022/08/19 01:15:45 - mmengine - INFO - Epoch(train) [175][800/3757] lr: 2.3250e-02 eta: 1 day, 1:31:36 time: 0.2852 data_time: 0.0163 memory: 6332 grad_norm: 3.7774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4733 loss: 2.4733 2022/08/19 01:16:14 - mmengine - INFO - Epoch(train) [175][900/3757] lr: 2.3250e-02 eta: 1 day, 1:30:57 time: 0.2891 data_time: 0.0180 memory: 6332 grad_norm: 3.8763 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0968 loss: 2.0968 2022/08/19 01:16:43 - mmengine - INFO - Epoch(train) [175][1000/3757] lr: 2.3250e-02 eta: 1 day, 1:30:19 time: 0.2852 data_time: 0.0181 memory: 6332 grad_norm: 3.8743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4308 loss: 2.4308 2022/08/19 01:17:12 - mmengine - INFO - Epoch(train) [175][1100/3757] lr: 2.3250e-02 eta: 1 day, 1:29:41 time: 0.2852 data_time: 0.0165 memory: 6332 grad_norm: 3.7029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4067 loss: 2.4067 2022/08/19 01:17:41 - mmengine - INFO - Epoch(train) [175][1200/3757] lr: 2.3250e-02 eta: 1 day, 1:29:05 time: 0.2857 data_time: 0.0165 memory: 6332 grad_norm: 3.8834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4766 loss: 2.4766 2022/08/19 01:18:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:18:10 - mmengine - INFO - Epoch(train) [175][1300/3757] lr: 2.3250e-02 eta: 1 day, 1:28:28 time: 0.2854 data_time: 0.0189 memory: 6332 grad_norm: 3.7341 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/08/19 01:18:40 - mmengine - INFO - Epoch(train) [175][1400/3757] lr: 2.3250e-02 eta: 1 day, 1:27:57 time: 0.2843 data_time: 0.0176 memory: 6332 grad_norm: 3.9574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3105 loss: 2.3105 2022/08/19 01:19:09 - mmengine - INFO - Epoch(train) [175][1500/3757] lr: 2.3250e-02 eta: 1 day, 1:27:18 time: 0.2848 data_time: 0.0170 memory: 6332 grad_norm: 3.7922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7427 loss: 2.7427 2022/08/19 01:19:39 - mmengine - INFO - Epoch(train) [175][1600/3757] lr: 2.3250e-02 eta: 1 day, 1:26:43 time: 0.3083 data_time: 0.0184 memory: 6332 grad_norm: 3.8314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4446 loss: 2.4446 2022/08/19 01:20:08 - mmengine - INFO - Epoch(train) [175][1700/3757] lr: 2.3250e-02 eta: 1 day, 1:26:06 time: 0.2856 data_time: 0.0177 memory: 6332 grad_norm: 3.7083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3636 loss: 2.3636 2022/08/19 01:20:37 - mmengine - INFO - Epoch(train) [175][1800/3757] lr: 2.3250e-02 eta: 1 day, 1:25:29 time: 0.2953 data_time: 0.0188 memory: 6332 grad_norm: 3.7237 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/08/19 01:21:06 - mmengine - INFO - Epoch(train) [175][1900/3757] lr: 2.3250e-02 eta: 1 day, 1:24:51 time: 0.2857 data_time: 0.0172 memory: 6332 grad_norm: 3.8911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5977 loss: 2.5977 2022/08/19 01:21:36 - mmengine - INFO - Epoch(train) [175][2000/3757] lr: 2.3250e-02 eta: 1 day, 1:24:17 time: 0.3084 data_time: 0.0190 memory: 6332 grad_norm: 3.7253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2565 loss: 2.2565 2022/08/19 01:22:05 - mmengine - INFO - Epoch(train) [175][2100/3757] lr: 2.3250e-02 eta: 1 day, 1:23:39 time: 0.2849 data_time: 0.0167 memory: 6332 grad_norm: 3.6988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4043 loss: 2.4043 2022/08/19 01:22:34 - mmengine - INFO - Epoch(train) [175][2200/3757] lr: 2.3250e-02 eta: 1 day, 1:23:01 time: 0.2860 data_time: 0.0176 memory: 6332 grad_norm: 3.8084 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2675 loss: 2.2675 2022/08/19 01:22:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:23:03 - mmengine - INFO - Epoch(train) [175][2300/3757] lr: 2.3250e-02 eta: 1 day, 1:22:24 time: 0.2859 data_time: 0.0167 memory: 6332 grad_norm: 3.8473 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7494 loss: 2.7494 2022/08/19 01:23:32 - mmengine - INFO - Epoch(train) [175][2400/3757] lr: 2.3250e-02 eta: 1 day, 1:21:46 time: 0.2851 data_time: 0.0192 memory: 6332 grad_norm: 3.7995 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4551 loss: 2.4551 2022/08/19 01:24:01 - mmengine - INFO - Epoch(train) [175][2500/3757] lr: 2.3250e-02 eta: 1 day, 1:21:08 time: 0.2842 data_time: 0.0154 memory: 6332 grad_norm: 3.7567 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6093 loss: 2.6093 2022/08/19 01:24:30 - mmengine - INFO - Epoch(train) [175][2600/3757] lr: 2.3250e-02 eta: 1 day, 1:20:31 time: 0.2877 data_time: 0.0177 memory: 6332 grad_norm: 3.7979 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5154 loss: 2.5154 2022/08/19 01:24:59 - mmengine - INFO - Epoch(train) [175][2700/3757] lr: 2.3250e-02 eta: 1 day, 1:19:56 time: 0.3012 data_time: 0.0188 memory: 6332 grad_norm: 3.9333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5566 loss: 2.5566 2022/08/19 01:25:28 - mmengine - INFO - Epoch(train) [175][2800/3757] lr: 2.3250e-02 eta: 1 day, 1:19:19 time: 0.2912 data_time: 0.0164 memory: 6332 grad_norm: 3.7740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5607 loss: 2.5607 2022/08/19 01:25:57 - mmengine - INFO - Epoch(train) [175][2900/3757] lr: 2.3250e-02 eta: 1 day, 1:18:43 time: 0.2957 data_time: 0.0191 memory: 6332 grad_norm: 3.8928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3902 loss: 2.3902 2022/08/19 01:26:27 - mmengine - INFO - Epoch(train) [175][3000/3757] lr: 2.3250e-02 eta: 1 day, 1:18:08 time: 0.2848 data_time: 0.0180 memory: 6332 grad_norm: 3.8486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3943 loss: 2.3943 2022/08/19 01:26:56 - mmengine - INFO - Epoch(train) [175][3100/3757] lr: 2.3250e-02 eta: 1 day, 1:17:33 time: 0.2996 data_time: 0.0177 memory: 6332 grad_norm: 3.8293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2256 loss: 2.2256 2022/08/19 01:27:26 - mmengine - INFO - Epoch(train) [175][3200/3757] lr: 2.3250e-02 eta: 1 day, 1:16:59 time: 0.2851 data_time: 0.0173 memory: 6332 grad_norm: 3.7000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2939 loss: 2.2939 2022/08/19 01:27:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:27:55 - mmengine - INFO - Epoch(train) [175][3300/3757] lr: 2.3250e-02 eta: 1 day, 1:16:23 time: 0.2964 data_time: 0.0178 memory: 6332 grad_norm: 3.8034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3726 loss: 2.3726 2022/08/19 01:28:24 - mmengine - INFO - Epoch(train) [175][3400/3757] lr: 2.3250e-02 eta: 1 day, 1:15:46 time: 0.2868 data_time: 0.0170 memory: 6332 grad_norm: 3.7684 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3772 loss: 2.3772 2022/08/19 01:28:53 - mmengine - INFO - Epoch(train) [175][3500/3757] lr: 2.3250e-02 eta: 1 day, 1:15:12 time: 0.2862 data_time: 0.0172 memory: 6332 grad_norm: 3.7606 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6689 loss: 2.6689 2022/08/19 01:29:23 - mmengine - INFO - Epoch(train) [175][3600/3757] lr: 2.3250e-02 eta: 1 day, 1:14:37 time: 0.2852 data_time: 0.0172 memory: 6332 grad_norm: 3.6645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4964 loss: 2.4964 2022/08/19 01:29:52 - mmengine - INFO - Epoch(train) [175][3700/3757] lr: 2.3250e-02 eta: 1 day, 1:13:59 time: 0.2843 data_time: 0.0174 memory: 6332 grad_norm: 3.8821 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6449 loss: 2.6449 2022/08/19 01:30:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:30:08 - mmengine - INFO - Epoch(train) [175][3757/3757] lr: 2.3250e-02 eta: 1 day, 1:13:45 time: 0.2677 data_time: 0.0164 memory: 6332 grad_norm: 3.7162 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.7982 loss: 2.7982 2022/08/19 01:30:30 - mmengine - INFO - Epoch(val) [175][100/310] eta: 0:00:50 time: 0.2414 data_time: 0.1454 memory: 1147 2022/08/19 01:30:51 - mmengine - INFO - Epoch(val) [175][200/310] eta: 0:00:20 time: 0.1831 data_time: 0.0901 memory: 1147 2022/08/19 01:31:11 - mmengine - INFO - Epoch(val) [175][300/310] eta: 0:00:02 time: 0.2174 data_time: 0.1256 memory: 1147 2022/08/19 01:31:15 - mmengine - INFO - Epoch(val) [175][310/310] acc/top1: 0.5259 acc/top5: 0.7777 acc/mean1: 0.5258 2022/08/19 01:31:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_171.pth is removed 2022/08/19 01:31:18 - mmengine - INFO - The best checkpoint with 0.5259 acc/top1 at 176 epoch is saved to best_acc/top1_epoch_176.pth. 2022/08/19 01:31:48 - mmengine - INFO - Epoch(train) [176][100/3757] lr: 2.2734e-02 eta: 1 day, 1:12:36 time: 0.2873 data_time: 0.0172 memory: 6332 grad_norm: 3.8032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2025 loss: 2.2025 2022/08/19 01:32:17 - mmengine - INFO - Epoch(train) [176][200/3757] lr: 2.2734e-02 eta: 1 day, 1:11:58 time: 0.2900 data_time: 0.0189 memory: 6332 grad_norm: 3.8347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/08/19 01:32:46 - mmengine - INFO - Epoch(train) [176][300/3757] lr: 2.2734e-02 eta: 1 day, 1:11:22 time: 0.2868 data_time: 0.0173 memory: 6332 grad_norm: 3.6983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1761 loss: 2.1761 2022/08/19 01:33:16 - mmengine - INFO - Epoch(train) [176][400/3757] lr: 2.2734e-02 eta: 1 day, 1:10:50 time: 0.2935 data_time: 0.0167 memory: 6332 grad_norm: 3.7114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3508 loss: 2.3508 2022/08/19 01:33:45 - mmengine - INFO - Epoch(train) [176][500/3757] lr: 2.2734e-02 eta: 1 day, 1:10:12 time: 0.2849 data_time: 0.0177 memory: 6332 grad_norm: 3.8439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4157 loss: 2.4157 2022/08/19 01:33:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:34:14 - mmengine - INFO - Epoch(train) [176][600/3757] lr: 2.2734e-02 eta: 1 day, 1:09:34 time: 0.2853 data_time: 0.0170 memory: 6332 grad_norm: 3.7974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4248 loss: 2.4248 2022/08/19 01:34:43 - mmengine - INFO - Epoch(train) [176][700/3757] lr: 2.2734e-02 eta: 1 day, 1:08:58 time: 0.2854 data_time: 0.0175 memory: 6332 grad_norm: 3.7010 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2543 loss: 2.2543 2022/08/19 01:35:12 - mmengine - INFO - Epoch(train) [176][800/3757] lr: 2.2734e-02 eta: 1 day, 1:08:21 time: 0.2865 data_time: 0.0164 memory: 6332 grad_norm: 3.9554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5830 loss: 2.5830 2022/08/19 01:35:41 - mmengine - INFO - Epoch(train) [176][900/3757] lr: 2.2734e-02 eta: 1 day, 1:07:44 time: 0.2872 data_time: 0.0184 memory: 6332 grad_norm: 3.8868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3731 loss: 2.3731 2022/08/19 01:36:10 - mmengine - INFO - Epoch(train) [176][1000/3757] lr: 2.2734e-02 eta: 1 day, 1:07:08 time: 0.2850 data_time: 0.0172 memory: 6332 grad_norm: 3.7524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1353 loss: 2.1353 2022/08/19 01:36:40 - mmengine - INFO - Epoch(train) [176][1100/3757] lr: 2.2734e-02 eta: 1 day, 1:06:33 time: 0.2952 data_time: 0.0182 memory: 6332 grad_norm: 3.8012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4180 loss: 2.4180 2022/08/19 01:37:09 - mmengine - INFO - Epoch(train) [176][1200/3757] lr: 2.2734e-02 eta: 1 day, 1:06:01 time: 0.2862 data_time: 0.0168 memory: 6332 grad_norm: 3.7902 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4217 loss: 2.4217 2022/08/19 01:37:38 - mmengine - INFO - Epoch(train) [176][1300/3757] lr: 2.2734e-02 eta: 1 day, 1:05:25 time: 0.2977 data_time: 0.0181 memory: 6332 grad_norm: 3.8571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4249 loss: 2.4249 2022/08/19 01:38:07 - mmengine - INFO - Epoch(train) [176][1400/3757] lr: 2.2734e-02 eta: 1 day, 1:04:49 time: 0.2849 data_time: 0.0169 memory: 6332 grad_norm: 3.7992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1291 loss: 2.1291 2022/08/19 01:38:37 - mmengine - INFO - Epoch(train) [176][1500/3757] lr: 2.2734e-02 eta: 1 day, 1:04:15 time: 0.3047 data_time: 0.0173 memory: 6332 grad_norm: 3.9186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5887 loss: 2.5887 2022/08/19 01:38:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:39:06 - mmengine - INFO - Epoch(train) [176][1600/3757] lr: 2.2734e-02 eta: 1 day, 1:03:39 time: 0.2850 data_time: 0.0171 memory: 6332 grad_norm: 3.8583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2584 loss: 2.2584 2022/08/19 01:39:35 - mmengine - INFO - Epoch(train) [176][1700/3757] lr: 2.2734e-02 eta: 1 day, 1:03:02 time: 0.2871 data_time: 0.0168 memory: 6332 grad_norm: 3.8993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7351 loss: 2.7351 2022/08/19 01:40:05 - mmengine - INFO - Epoch(train) [176][1800/3757] lr: 2.2734e-02 eta: 1 day, 1:02:30 time: 0.2854 data_time: 0.0168 memory: 6332 grad_norm: 3.8200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5703 loss: 2.5703 2022/08/19 01:40:34 - mmengine - INFO - Epoch(train) [176][1900/3757] lr: 2.2734e-02 eta: 1 day, 1:01:54 time: 0.2859 data_time: 0.0164 memory: 6332 grad_norm: 3.8485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7542 loss: 2.7542 2022/08/19 01:41:03 - mmengine - INFO - Epoch(train) [176][2000/3757] lr: 2.2734e-02 eta: 1 day, 1:01:21 time: 0.2843 data_time: 0.0167 memory: 6332 grad_norm: 3.8784 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5980 loss: 2.5980 2022/08/19 01:41:33 - mmengine - INFO - Epoch(train) [176][2100/3757] lr: 2.2734e-02 eta: 1 day, 1:00:50 time: 0.2851 data_time: 0.0166 memory: 6332 grad_norm: 3.9151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6883 loss: 2.6883 2022/08/19 01:42:03 - mmengine - INFO - Epoch(train) [176][2200/3757] lr: 2.2734e-02 eta: 1 day, 1:00:20 time: 0.2837 data_time: 0.0176 memory: 6332 grad_norm: 3.8574 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3109 loss: 2.3109 2022/08/19 01:42:32 - mmengine - INFO - Epoch(train) [176][2300/3757] lr: 2.2734e-02 eta: 1 day, 0:59:43 time: 0.2862 data_time: 0.0164 memory: 6332 grad_norm: 3.8199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5283 loss: 2.5283 2022/08/19 01:43:01 - mmengine - INFO - Epoch(train) [176][2400/3757] lr: 2.2734e-02 eta: 1 day, 0:59:09 time: 0.2925 data_time: 0.0184 memory: 6332 grad_norm: 3.7880 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5963 loss: 2.5963 2022/08/19 01:43:30 - mmengine - INFO - Epoch(train) [176][2500/3757] lr: 2.2734e-02 eta: 1 day, 0:58:32 time: 0.2855 data_time: 0.0168 memory: 6332 grad_norm: 3.8769 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/08/19 01:43:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:43:59 - mmengine - INFO - Epoch(train) [176][2600/3757] lr: 2.2734e-02 eta: 1 day, 0:57:56 time: 0.2907 data_time: 0.0185 memory: 6332 grad_norm: 3.8886 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2868 loss: 2.2868 2022/08/19 01:44:28 - mmengine - INFO - Epoch(train) [176][2700/3757] lr: 2.2734e-02 eta: 1 day, 0:57:20 time: 0.2846 data_time: 0.0164 memory: 6332 grad_norm: 3.8163 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2306 loss: 2.2306 2022/08/19 01:44:58 - mmengine - INFO - Epoch(train) [176][2800/3757] lr: 2.2734e-02 eta: 1 day, 0:56:46 time: 0.2936 data_time: 0.0188 memory: 6332 grad_norm: 3.7732 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3203 loss: 2.3203 2022/08/19 01:45:27 - mmengine - INFO - Epoch(train) [176][2900/3757] lr: 2.2734e-02 eta: 1 day, 0:56:10 time: 0.2845 data_time: 0.0174 memory: 6332 grad_norm: 3.7373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3386 loss: 2.3386 2022/08/19 01:45:56 - mmengine - INFO - Epoch(train) [176][3000/3757] lr: 2.2734e-02 eta: 1 day, 0:55:33 time: 0.2853 data_time: 0.0163 memory: 6332 grad_norm: 3.8790 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.5717 loss: 2.5717 2022/08/19 01:46:25 - mmengine - INFO - Epoch(train) [176][3100/3757] lr: 2.2734e-02 eta: 1 day, 0:55:00 time: 0.2861 data_time: 0.0167 memory: 6332 grad_norm: 3.8903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3422 loss: 2.3422 2022/08/19 01:46:54 - mmengine - INFO - Epoch(train) [176][3200/3757] lr: 2.2734e-02 eta: 1 day, 0:54:25 time: 0.2861 data_time: 0.0172 memory: 6332 grad_norm: 3.7437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0681 loss: 2.0681 2022/08/19 01:47:24 - mmengine - INFO - Epoch(train) [176][3300/3757] lr: 2.2734e-02 eta: 1 day, 0:53:51 time: 0.2847 data_time: 0.0170 memory: 6332 grad_norm: 3.8087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3354 loss: 2.3354 2022/08/19 01:47:53 - mmengine - INFO - Epoch(train) [176][3400/3757] lr: 2.2734e-02 eta: 1 day, 0:53:16 time: 0.2856 data_time: 0.0168 memory: 6332 grad_norm: 3.8979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7029 loss: 2.7029 2022/08/19 01:48:22 - mmengine - INFO - Epoch(train) [176][3500/3757] lr: 2.2734e-02 eta: 1 day, 0:52:42 time: 0.2935 data_time: 0.0177 memory: 6332 grad_norm: 3.7964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5580 loss: 2.5580 2022/08/19 01:48:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:48:51 - mmengine - INFO - Epoch(train) [176][3600/3757] lr: 2.2734e-02 eta: 1 day, 0:52:05 time: 0.2871 data_time: 0.0180 memory: 6332 grad_norm: 3.7554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2416 loss: 2.2416 2022/08/19 01:49:20 - mmengine - INFO - Epoch(train) [176][3700/3757] lr: 2.2734e-02 eta: 1 day, 0:51:30 time: 0.2856 data_time: 0.0161 memory: 6332 grad_norm: 3.8186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5317 loss: 2.5317 2022/08/19 01:49:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:49:37 - mmengine - INFO - Epoch(train) [176][3757/3757] lr: 2.2734e-02 eta: 1 day, 0:51:19 time: 0.2706 data_time: 0.0152 memory: 6332 grad_norm: 3.8132 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3382 loss: 2.3382 2022/08/19 01:49:37 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/19 01:50:11 - mmengine - INFO - Epoch(train) [177][100/3757] lr: 2.2221e-02 eta: 1 day, 0:50:10 time: 0.2850 data_time: 0.0174 memory: 6332 grad_norm: 3.8897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5304 loss: 2.5304 2022/08/19 01:50:40 - mmengine - INFO - Epoch(train) [177][200/3757] lr: 2.2221e-02 eta: 1 day, 0:49:38 time: 0.3161 data_time: 0.0189 memory: 6332 grad_norm: 3.8142 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6106 loss: 2.6106 2022/08/19 01:51:09 - mmengine - INFO - Epoch(train) [177][300/3757] lr: 2.2221e-02 eta: 1 day, 0:49:01 time: 0.2867 data_time: 0.0178 memory: 6332 grad_norm: 3.8778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4384 loss: 2.4384 2022/08/19 01:51:39 - mmengine - INFO - Epoch(train) [177][400/3757] lr: 2.2221e-02 eta: 1 day, 0:48:28 time: 0.2957 data_time: 0.0183 memory: 6332 grad_norm: 3.8718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3134 loss: 2.3134 2022/08/19 01:52:08 - mmengine - INFO - Epoch(train) [177][500/3757] lr: 2.2221e-02 eta: 1 day, 0:47:53 time: 0.2925 data_time: 0.0180 memory: 6332 grad_norm: 3.9146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2192 loss: 2.2192 2022/08/19 01:52:37 - mmengine - INFO - Epoch(train) [177][600/3757] lr: 2.2221e-02 eta: 1 day, 0:47:18 time: 0.2859 data_time: 0.0173 memory: 6332 grad_norm: 3.8714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3410 loss: 2.3410 2022/08/19 01:53:06 - mmengine - INFO - Epoch(train) [177][700/3757] lr: 2.2221e-02 eta: 1 day, 0:46:42 time: 0.2847 data_time: 0.0167 memory: 6332 grad_norm: 3.8759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0704 loss: 2.0704 2022/08/19 01:53:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:53:35 - mmengine - INFO - Epoch(train) [177][800/3757] lr: 2.2221e-02 eta: 1 day, 0:46:07 time: 0.2852 data_time: 0.0166 memory: 6332 grad_norm: 3.9331 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7318 loss: 2.7318 2022/08/19 01:54:04 - mmengine - INFO - Epoch(train) [177][900/3757] lr: 2.2221e-02 eta: 1 day, 0:45:32 time: 0.2882 data_time: 0.0163 memory: 6332 grad_norm: 3.8067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3903 loss: 2.3903 2022/08/19 01:54:33 - mmengine - INFO - Epoch(train) [177][1000/3757] lr: 2.2221e-02 eta: 1 day, 0:44:58 time: 0.2853 data_time: 0.0172 memory: 6332 grad_norm: 3.8361 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5890 loss: 2.5890 2022/08/19 01:55:02 - mmengine - INFO - Epoch(train) [177][1100/3757] lr: 2.2221e-02 eta: 1 day, 0:44:22 time: 0.2863 data_time: 0.0168 memory: 6332 grad_norm: 3.7878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2083 loss: 2.2083 2022/08/19 01:55:31 - mmengine - INFO - Epoch(train) [177][1200/3757] lr: 2.2221e-02 eta: 1 day, 0:43:47 time: 0.2892 data_time: 0.0181 memory: 6332 grad_norm: 3.9336 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4009 loss: 2.4009 2022/08/19 01:56:00 - mmengine - INFO - Epoch(train) [177][1300/3757] lr: 2.2221e-02 eta: 1 day, 0:43:11 time: 0.2881 data_time: 0.0178 memory: 6332 grad_norm: 3.9812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5010 loss: 2.5010 2022/08/19 01:56:30 - mmengine - INFO - Epoch(train) [177][1400/3757] lr: 2.2221e-02 eta: 1 day, 0:42:36 time: 0.2916 data_time: 0.0188 memory: 6332 grad_norm: 3.7077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4294 loss: 2.4294 2022/08/19 01:56:58 - mmengine - INFO - Epoch(train) [177][1500/3757] lr: 2.2221e-02 eta: 1 day, 0:42:00 time: 0.2854 data_time: 0.0171 memory: 6332 grad_norm: 3.8705 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5190 loss: 2.5190 2022/08/19 01:57:28 - mmengine - INFO - Epoch(train) [177][1600/3757] lr: 2.2221e-02 eta: 1 day, 0:41:25 time: 0.2907 data_time: 0.0170 memory: 6332 grad_norm: 3.8599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5469 loss: 2.5469 2022/08/19 01:57:56 - mmengine - INFO - Epoch(train) [177][1700/3757] lr: 2.2221e-02 eta: 1 day, 0:40:49 time: 0.2856 data_time: 0.0165 memory: 6332 grad_norm: 3.7560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5243 loss: 2.5243 2022/08/19 01:58:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 01:58:26 - mmengine - INFO - Epoch(train) [177][1800/3757] lr: 2.2221e-02 eta: 1 day, 0:40:15 time: 0.2856 data_time: 0.0170 memory: 6332 grad_norm: 3.7373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6137 loss: 2.6137 2022/08/19 01:58:55 - mmengine - INFO - Epoch(train) [177][1900/3757] lr: 2.2221e-02 eta: 1 day, 0:39:41 time: 0.2867 data_time: 0.0188 memory: 6332 grad_norm: 3.8258 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4471 loss: 2.4471 2022/08/19 01:59:24 - mmengine - INFO - Epoch(train) [177][2000/3757] lr: 2.2221e-02 eta: 1 day, 0:39:06 time: 0.2880 data_time: 0.0169 memory: 6332 grad_norm: 3.9911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3947 loss: 2.3947 2022/08/19 01:59:53 - mmengine - INFO - Epoch(train) [177][2100/3757] lr: 2.2221e-02 eta: 1 day, 0:38:30 time: 0.2863 data_time: 0.0163 memory: 6332 grad_norm: 3.9836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5028 loss: 2.5028 2022/08/19 02:00:25 - mmengine - INFO - Epoch(train) [177][2200/3757] lr: 2.2221e-02 eta: 1 day, 0:38:11 time: 0.2872 data_time: 0.0173 memory: 6332 grad_norm: 3.7282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6567 loss: 2.6567 2022/08/19 02:00:54 - mmengine - INFO - Epoch(train) [177][2300/3757] lr: 2.2221e-02 eta: 1 day, 0:37:37 time: 0.2833 data_time: 0.0171 memory: 6332 grad_norm: 3.8726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3701 loss: 2.3701 2022/08/19 02:01:23 - mmengine - INFO - Epoch(train) [177][2400/3757] lr: 2.2221e-02 eta: 1 day, 0:37:02 time: 0.2855 data_time: 0.0184 memory: 6332 grad_norm: 3.9811 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5111 loss: 2.5111 2022/08/19 02:01:53 - mmengine - INFO - Epoch(train) [177][2500/3757] lr: 2.2221e-02 eta: 1 day, 0:36:34 time: 0.2937 data_time: 0.0188 memory: 6332 grad_norm: 3.8902 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3238 loss: 2.3238 2022/08/19 02:02:22 - mmengine - INFO - Epoch(train) [177][2600/3757] lr: 2.2221e-02 eta: 1 day, 0:35:59 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 3.9953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3053 loss: 2.3053 2022/08/19 02:02:53 - mmengine - INFO - Epoch(train) [177][2700/3757] lr: 2.2221e-02 eta: 1 day, 0:35:33 time: 0.3451 data_time: 0.0176 memory: 6332 grad_norm: 3.8860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4147 loss: 2.4147 2022/08/19 02:03:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:03:22 - mmengine - INFO - Epoch(train) [177][2800/3757] lr: 2.2221e-02 eta: 1 day, 0:34:58 time: 0.2847 data_time: 0.0164 memory: 6332 grad_norm: 3.8176 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3422 loss: 2.3422 2022/08/19 02:03:51 - mmengine - INFO - Epoch(train) [177][2900/3757] lr: 2.2221e-02 eta: 1 day, 0:34:28 time: 0.3094 data_time: 0.0182 memory: 6332 grad_norm: 3.9161 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5855 loss: 2.5855 2022/08/19 02:04:21 - mmengine - INFO - Epoch(train) [177][3000/3757] lr: 2.2221e-02 eta: 1 day, 0:33:57 time: 0.2834 data_time: 0.0162 memory: 6332 grad_norm: 3.8402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2668 loss: 2.2668 2022/08/19 02:04:50 - mmengine - INFO - Epoch(train) [177][3100/3757] lr: 2.2221e-02 eta: 1 day, 0:33:23 time: 0.2892 data_time: 0.0194 memory: 6332 grad_norm: 3.9186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3537 loss: 2.3537 2022/08/19 02:05:20 - mmengine - INFO - Epoch(train) [177][3200/3757] lr: 2.2221e-02 eta: 1 day, 0:32:49 time: 0.3019 data_time: 0.0176 memory: 6332 grad_norm: 3.7266 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4231 loss: 2.4231 2022/08/19 02:05:49 - mmengine - INFO - Epoch(train) [177][3300/3757] lr: 2.2221e-02 eta: 1 day, 0:32:13 time: 0.2882 data_time: 0.0167 memory: 6332 grad_norm: 3.9487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2396 loss: 2.2396 2022/08/19 02:06:22 - mmengine - INFO - Epoch(train) [177][3400/3757] lr: 2.2221e-02 eta: 1 day, 0:32:03 time: 0.3007 data_time: 0.0186 memory: 6332 grad_norm: 3.8734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5390 loss: 2.5390 2022/08/19 02:06:51 - mmengine - INFO - Epoch(train) [177][3500/3757] lr: 2.2221e-02 eta: 1 day, 0:31:28 time: 0.2846 data_time: 0.0175 memory: 6332 grad_norm: 3.8466 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4363 loss: 2.4363 2022/08/19 02:07:20 - mmengine - INFO - Epoch(train) [177][3600/3757] lr: 2.2221e-02 eta: 1 day, 0:30:54 time: 0.2955 data_time: 0.0190 memory: 6332 grad_norm: 3.8907 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6172 loss: 2.6172 2022/08/19 02:07:49 - mmengine - INFO - Epoch(train) [177][3700/3757] lr: 2.2221e-02 eta: 1 day, 0:30:21 time: 0.2963 data_time: 0.0186 memory: 6332 grad_norm: 3.7821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5503 loss: 2.5503 2022/08/19 02:08:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:08:05 - mmengine - INFO - Epoch(train) [177][3757/3757] lr: 2.2221e-02 eta: 1 day, 0:30:06 time: 0.2659 data_time: 0.0156 memory: 6332 grad_norm: 3.8973 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.4903 loss: 2.4903 2022/08/19 02:08:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:08:37 - mmengine - INFO - Epoch(train) [178][100/3757] lr: 2.1713e-02 eta: 1 day, 0:29:09 time: 0.2863 data_time: 0.0178 memory: 6332 grad_norm: 3.8646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1688 loss: 2.1688 2022/08/19 02:09:06 - mmengine - INFO - Epoch(train) [178][200/3757] lr: 2.1713e-02 eta: 1 day, 0:28:35 time: 0.2848 data_time: 0.0178 memory: 6332 grad_norm: 3.7812 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4595 loss: 2.4595 2022/08/19 02:09:35 - mmengine - INFO - Epoch(train) [178][300/3757] lr: 2.1713e-02 eta: 1 day, 0:28:01 time: 0.2868 data_time: 0.0171 memory: 6332 grad_norm: 3.9897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7399 loss: 2.7399 2022/08/19 02:10:04 - mmengine - INFO - Epoch(train) [178][400/3757] lr: 2.1713e-02 eta: 1 day, 0:27:26 time: 0.2873 data_time: 0.0168 memory: 6332 grad_norm: 3.7887 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2404 loss: 2.2404 2022/08/19 02:10:33 - mmengine - INFO - Epoch(train) [178][500/3757] lr: 2.1713e-02 eta: 1 day, 0:26:52 time: 0.2923 data_time: 0.0166 memory: 6332 grad_norm: 3.8669 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2638 loss: 2.2638 2022/08/19 02:11:02 - mmengine - INFO - Epoch(train) [178][600/3757] lr: 2.1713e-02 eta: 1 day, 0:26:17 time: 0.2851 data_time: 0.0173 memory: 6332 grad_norm: 3.8970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/08/19 02:11:31 - mmengine - INFO - Epoch(train) [178][700/3757] lr: 2.1713e-02 eta: 1 day, 0:25:43 time: 0.2868 data_time: 0.0189 memory: 6332 grad_norm: 3.8680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4525 loss: 2.4525 2022/08/19 02:12:00 - mmengine - INFO - Epoch(train) [178][800/3757] lr: 2.1713e-02 eta: 1 day, 0:25:08 time: 0.2925 data_time: 0.0179 memory: 6332 grad_norm: 3.8863 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3637 loss: 2.3637 2022/08/19 02:12:29 - mmengine - INFO - Epoch(train) [178][900/3757] lr: 2.1713e-02 eta: 1 day, 0:24:32 time: 0.2843 data_time: 0.0169 memory: 6332 grad_norm: 3.7447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/08/19 02:12:58 - mmengine - INFO - Epoch(train) [178][1000/3757] lr: 2.1713e-02 eta: 1 day, 0:23:59 time: 0.2854 data_time: 0.0167 memory: 6332 grad_norm: 3.7724 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1522 loss: 2.1522 2022/08/19 02:13:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:13:28 - mmengine - INFO - Epoch(train) [178][1100/3757] lr: 2.1713e-02 eta: 1 day, 0:23:27 time: 0.2854 data_time: 0.0167 memory: 6332 grad_norm: 3.9679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6615 loss: 2.6615 2022/08/19 02:13:58 - mmengine - INFO - Epoch(train) [178][1200/3757] lr: 2.1713e-02 eta: 1 day, 0:22:56 time: 0.2839 data_time: 0.0166 memory: 6332 grad_norm: 3.8192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3816 loss: 2.3816 2022/08/19 02:14:26 - mmengine - INFO - Epoch(train) [178][1300/3757] lr: 2.1713e-02 eta: 1 day, 0:22:20 time: 0.2843 data_time: 0.0166 memory: 6332 grad_norm: 3.8543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6209 loss: 2.6209 2022/08/19 02:14:56 - mmengine - INFO - Epoch(train) [178][1400/3757] lr: 2.1713e-02 eta: 1 day, 0:21:48 time: 0.2869 data_time: 0.0166 memory: 6332 grad_norm: 3.7936 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6308 loss: 2.6308 2022/08/19 02:15:25 - mmengine - INFO - Epoch(train) [178][1500/3757] lr: 2.1713e-02 eta: 1 day, 0:21:15 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 4.0440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3073 loss: 2.3073 2022/08/19 02:15:55 - mmengine - INFO - Epoch(train) [178][1600/3757] lr: 2.1713e-02 eta: 1 day, 0:20:43 time: 0.2954 data_time: 0.0196 memory: 6332 grad_norm: 3.8255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3547 loss: 2.3547 2022/08/19 02:16:24 - mmengine - INFO - Epoch(train) [178][1700/3757] lr: 2.1713e-02 eta: 1 day, 0:20:09 time: 0.2858 data_time: 0.0164 memory: 6332 grad_norm: 3.9101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2281 loss: 2.2281 2022/08/19 02:16:53 - mmengine - INFO - Epoch(train) [178][1800/3757] lr: 2.1713e-02 eta: 1 day, 0:19:36 time: 0.2939 data_time: 0.0183 memory: 6332 grad_norm: 3.9008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2958 loss: 2.2958 2022/08/19 02:17:23 - mmengine - INFO - Epoch(train) [178][1900/3757] lr: 2.1713e-02 eta: 1 day, 0:19:04 time: 0.2843 data_time: 0.0170 memory: 6332 grad_norm: 3.8984 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4030 loss: 2.4030 2022/08/19 02:17:52 - mmengine - INFO - Epoch(train) [178][2000/3757] lr: 2.1713e-02 eta: 1 day, 0:18:31 time: 0.2987 data_time: 0.0178 memory: 6332 grad_norm: 3.8333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3627 loss: 2.3627 2022/08/19 02:17:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:18:21 - mmengine - INFO - Epoch(train) [178][2100/3757] lr: 2.1713e-02 eta: 1 day, 0:17:57 time: 0.2866 data_time: 0.0163 memory: 6332 grad_norm: 3.9032 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2137 loss: 2.2137 2022/08/19 02:18:50 - mmengine - INFO - Epoch(train) [178][2200/3757] lr: 2.1713e-02 eta: 1 day, 0:17:23 time: 0.2939 data_time: 0.0175 memory: 6332 grad_norm: 3.8423 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3879 loss: 2.3879 2022/08/19 02:19:19 - mmengine - INFO - Epoch(train) [178][2300/3757] lr: 2.1713e-02 eta: 1 day, 0:16:48 time: 0.2850 data_time: 0.0166 memory: 6332 grad_norm: 4.0120 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4865 loss: 2.4865 2022/08/19 02:19:48 - mmengine - INFO - Epoch(train) [178][2400/3757] lr: 2.1713e-02 eta: 1 day, 0:16:14 time: 0.2856 data_time: 0.0170 memory: 6332 grad_norm: 3.7685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1159 loss: 2.1159 2022/08/19 02:20:18 - mmengine - INFO - Epoch(train) [178][2500/3757] lr: 2.1713e-02 eta: 1 day, 0:15:43 time: 0.2855 data_time: 0.0173 memory: 6332 grad_norm: 3.8907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2851 loss: 2.2851 2022/08/19 02:20:47 - mmengine - INFO - Epoch(train) [178][2600/3757] lr: 2.1713e-02 eta: 1 day, 0:15:09 time: 0.2840 data_time: 0.0172 memory: 6332 grad_norm: 4.0062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4882 loss: 2.4882 2022/08/19 02:21:16 - mmengine - INFO - Epoch(train) [178][2700/3757] lr: 2.1713e-02 eta: 1 day, 0:14:36 time: 0.2837 data_time: 0.0164 memory: 6332 grad_norm: 3.8988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/08/19 02:21:45 - mmengine - INFO - Epoch(train) [178][2800/3757] lr: 2.1713e-02 eta: 1 day, 0:14:02 time: 0.3003 data_time: 0.0167 memory: 6332 grad_norm: 3.9108 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2915 loss: 2.2915 2022/08/19 02:22:15 - mmengine - INFO - Epoch(train) [178][2900/3757] lr: 2.1713e-02 eta: 1 day, 0:13:30 time: 0.2976 data_time: 0.0184 memory: 6332 grad_norm: 4.0338 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5808 loss: 2.5808 2022/08/19 02:22:44 - mmengine - INFO - Epoch(train) [178][3000/3757] lr: 2.1713e-02 eta: 1 day, 0:12:55 time: 0.2855 data_time: 0.0172 memory: 6332 grad_norm: 3.8150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2774 loss: 2.2774 2022/08/19 02:22:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:23:13 - mmengine - INFO - Epoch(train) [178][3100/3757] lr: 2.1713e-02 eta: 1 day, 0:12:21 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 3.9708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3823 loss: 2.3823 2022/08/19 02:23:42 - mmengine - INFO - Epoch(train) [178][3200/3757] lr: 2.1713e-02 eta: 1 day, 0:11:47 time: 0.2905 data_time: 0.0200 memory: 6332 grad_norm: 3.8929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1345 loss: 2.1345 2022/08/19 02:24:11 - mmengine - INFO - Epoch(train) [178][3300/3757] lr: 2.1713e-02 eta: 1 day, 0:11:14 time: 0.2896 data_time: 0.0171 memory: 6332 grad_norm: 3.9683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/08/19 02:24:40 - mmengine - INFO - Epoch(train) [178][3400/3757] lr: 2.1713e-02 eta: 1 day, 0:10:40 time: 0.2915 data_time: 0.0177 memory: 6332 grad_norm: 3.9630 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3967 loss: 2.3967 2022/08/19 02:25:09 - mmengine - INFO - Epoch(train) [178][3500/3757] lr: 2.1713e-02 eta: 1 day, 0:10:07 time: 0.2899 data_time: 0.0157 memory: 6332 grad_norm: 3.8865 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5104 loss: 2.5104 2022/08/19 02:25:39 - mmengine - INFO - Epoch(train) [178][3600/3757] lr: 2.1713e-02 eta: 1 day, 0:09:34 time: 0.2846 data_time: 0.0164 memory: 6332 grad_norm: 3.9583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5771 loss: 2.5771 2022/08/19 02:26:08 - mmengine - INFO - Epoch(train) [178][3700/3757] lr: 2.1713e-02 eta: 1 day, 0:09:01 time: 0.2855 data_time: 0.0170 memory: 6332 grad_norm: 3.7925 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5526 loss: 2.5526 2022/08/19 02:26:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:26:24 - mmengine - INFO - Epoch(train) [178][3757/3757] lr: 2.1713e-02 eta: 1 day, 0:08:47 time: 0.2720 data_time: 0.0172 memory: 6332 grad_norm: 3.9762 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.5210 loss: 2.5210 2022/08/19 02:26:55 - mmengine - INFO - Epoch(train) [179][100/3757] lr: 2.1210e-02 eta: 1 day, 0:07:51 time: 0.2862 data_time: 0.0170 memory: 6332 grad_norm: 3.8122 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3440 loss: 2.3440 2022/08/19 02:27:24 - mmengine - INFO - Epoch(train) [179][200/3757] lr: 2.1210e-02 eta: 1 day, 0:07:18 time: 0.2961 data_time: 0.0192 memory: 6332 grad_norm: 3.9151 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3279 loss: 2.3279 2022/08/19 02:27:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:27:54 - mmengine - INFO - Epoch(train) [179][300/3757] lr: 2.1210e-02 eta: 1 day, 0:06:48 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 3.8137 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4234 loss: 2.4234 2022/08/19 02:28:24 - mmengine - INFO - Epoch(train) [179][400/3757] lr: 2.1210e-02 eta: 1 day, 0:06:16 time: 0.3012 data_time: 0.0194 memory: 6332 grad_norm: 4.0492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3349 loss: 2.3349 2022/08/19 02:28:53 - mmengine - INFO - Epoch(train) [179][500/3757] lr: 2.1210e-02 eta: 1 day, 0:05:46 time: 0.2984 data_time: 0.0161 memory: 6332 grad_norm: 3.6932 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2597 loss: 2.2597 2022/08/19 02:29:22 - mmengine - INFO - Epoch(train) [179][600/3757] lr: 2.1210e-02 eta: 1 day, 0:05:12 time: 0.2920 data_time: 0.0168 memory: 6332 grad_norm: 3.7894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6121 loss: 2.6121 2022/08/19 02:29:52 - mmengine - INFO - Epoch(train) [179][700/3757] lr: 2.1210e-02 eta: 1 day, 0:04:38 time: 0.2857 data_time: 0.0174 memory: 6332 grad_norm: 3.9351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2772 loss: 2.2772 2022/08/19 02:30:21 - mmengine - INFO - Epoch(train) [179][800/3757] lr: 2.1210e-02 eta: 1 day, 0:04:06 time: 0.2964 data_time: 0.0175 memory: 6332 grad_norm: 3.8355 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3089 loss: 2.3089 2022/08/19 02:30:50 - mmengine - INFO - Epoch(train) [179][900/3757] lr: 2.1210e-02 eta: 1 day, 0:03:32 time: 0.2856 data_time: 0.0171 memory: 6332 grad_norm: 3.9005 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4731 loss: 2.4731 2022/08/19 02:31:19 - mmengine - INFO - Epoch(train) [179][1000/3757] lr: 2.1210e-02 eta: 1 day, 0:03:00 time: 0.2861 data_time: 0.0170 memory: 6332 grad_norm: 3.9113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3413 loss: 2.3413 2022/08/19 02:31:49 - mmengine - INFO - Epoch(train) [179][1100/3757] lr: 2.1210e-02 eta: 1 day, 0:02:27 time: 0.2855 data_time: 0.0174 memory: 6332 grad_norm: 3.9066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5106 loss: 2.5106 2022/08/19 02:32:18 - mmengine - INFO - Epoch(train) [179][1200/3757] lr: 2.1210e-02 eta: 1 day, 0:01:54 time: 0.2881 data_time: 0.0174 memory: 6332 grad_norm: 3.7804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2270 loss: 2.2270 2022/08/19 02:32:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:32:47 - mmengine - INFO - Epoch(train) [179][1300/3757] lr: 2.1210e-02 eta: 1 day, 0:01:21 time: 0.2858 data_time: 0.0166 memory: 6332 grad_norm: 3.9189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3419 loss: 2.3419 2022/08/19 02:33:16 - mmengine - INFO - Epoch(train) [179][1400/3757] lr: 2.1210e-02 eta: 1 day, 0:00:48 time: 0.2942 data_time: 0.0164 memory: 6332 grad_norm: 3.9415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3105 loss: 2.3105 2022/08/19 02:33:45 - mmengine - INFO - Epoch(train) [179][1500/3757] lr: 2.1210e-02 eta: 1 day, 0:00:15 time: 0.2852 data_time: 0.0170 memory: 6332 grad_norm: 3.9349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3023 loss: 2.3023 2022/08/19 02:34:14 - mmengine - INFO - Epoch(train) [179][1600/3757] lr: 2.1210e-02 eta: 23:59:41 time: 0.2918 data_time: 0.0172 memory: 6332 grad_norm: 3.9942 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2866 loss: 2.2866 2022/08/19 02:34:43 - mmengine - INFO - Epoch(train) [179][1700/3757] lr: 2.1210e-02 eta: 23:59:08 time: 0.2873 data_time: 0.0165 memory: 6332 grad_norm: 3.9896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2352 loss: 2.2352 2022/08/19 02:35:13 - mmengine - INFO - Epoch(train) [179][1800/3757] lr: 2.1210e-02 eta: 23:58:35 time: 0.2935 data_time: 0.0181 memory: 6332 grad_norm: 3.9320 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2439 loss: 2.2439 2022/08/19 02:35:42 - mmengine - INFO - Epoch(train) [179][1900/3757] lr: 2.1210e-02 eta: 23:58:02 time: 0.2901 data_time: 0.0181 memory: 6332 grad_norm: 3.8819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5343 loss: 2.5343 2022/08/19 02:36:11 - mmengine - INFO - Epoch(train) [179][2000/3757] lr: 2.1210e-02 eta: 23:57:29 time: 0.2921 data_time: 0.0168 memory: 6332 grad_norm: 3.8274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2736 loss: 2.2736 2022/08/19 02:36:40 - mmengine - INFO - Epoch(train) [179][2100/3757] lr: 2.1210e-02 eta: 23:56:56 time: 0.2864 data_time: 0.0164 memory: 6332 grad_norm: 3.8009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6102 loss: 2.6102 2022/08/19 02:37:09 - mmengine - INFO - Epoch(train) [179][2200/3757] lr: 2.1210e-02 eta: 23:56:23 time: 0.2836 data_time: 0.0162 memory: 6332 grad_norm: 3.9315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4772 loss: 2.4772 2022/08/19 02:37:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:37:39 - mmengine - INFO - Epoch(train) [179][2300/3757] lr: 2.1210e-02 eta: 23:55:50 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 3.9180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4053 loss: 2.4053 2022/08/19 02:38:08 - mmengine - INFO - Epoch(train) [179][2400/3757] lr: 2.1210e-02 eta: 23:55:16 time: 0.2836 data_time: 0.0160 memory: 6332 grad_norm: 3.9830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4916 loss: 2.4916 2022/08/19 02:38:37 - mmengine - INFO - Epoch(train) [179][2500/3757] lr: 2.1210e-02 eta: 23:54:44 time: 0.2915 data_time: 0.0190 memory: 6332 grad_norm: 3.8802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2760 loss: 2.2760 2022/08/19 02:39:06 - mmengine - INFO - Epoch(train) [179][2600/3757] lr: 2.1210e-02 eta: 23:54:12 time: 0.2877 data_time: 0.0185 memory: 6332 grad_norm: 3.8812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1999 loss: 2.1999 2022/08/19 02:39:35 - mmengine - INFO - Epoch(train) [179][2700/3757] lr: 2.1210e-02 eta: 23:53:38 time: 0.2872 data_time: 0.0180 memory: 6332 grad_norm: 3.8007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5371 loss: 2.5371 2022/08/19 02:40:04 - mmengine - INFO - Epoch(train) [179][2800/3757] lr: 2.1210e-02 eta: 23:53:04 time: 0.2870 data_time: 0.0177 memory: 6332 grad_norm: 3.9284 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2791 loss: 2.2791 2022/08/19 02:40:33 - mmengine - INFO - Epoch(train) [179][2900/3757] lr: 2.1210e-02 eta: 23:52:30 time: 0.2851 data_time: 0.0188 memory: 6332 grad_norm: 3.9872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4722 loss: 2.4722 2022/08/19 02:41:02 - mmengine - INFO - Epoch(train) [179][3000/3757] lr: 2.1210e-02 eta: 23:51:56 time: 0.2851 data_time: 0.0168 memory: 6332 grad_norm: 3.8623 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4635 loss: 2.4635 2022/08/19 02:41:31 - mmengine - INFO - Epoch(train) [179][3100/3757] lr: 2.1210e-02 eta: 23:51:21 time: 0.2848 data_time: 0.0168 memory: 6332 grad_norm: 3.8532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7065 loss: 2.7065 2022/08/19 02:42:00 - mmengine - INFO - Epoch(train) [179][3200/3757] lr: 2.1210e-02 eta: 23:50:47 time: 0.2857 data_time: 0.0175 memory: 6332 grad_norm: 4.0237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6507 loss: 2.6507 2022/08/19 02:42:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:42:29 - mmengine - INFO - Epoch(train) [179][3300/3757] lr: 2.1210e-02 eta: 23:50:14 time: 0.2848 data_time: 0.0169 memory: 6332 grad_norm: 4.0104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2617 loss: 2.2617 2022/08/19 02:42:59 - mmengine - INFO - Epoch(train) [179][3400/3757] lr: 2.1210e-02 eta: 23:49:46 time: 0.2857 data_time: 0.0170 memory: 6332 grad_norm: 3.9842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5820 loss: 2.5820 2022/08/19 02:43:29 - mmengine - INFO - Epoch(train) [179][3500/3757] lr: 2.1210e-02 eta: 23:49:15 time: 0.2839 data_time: 0.0168 memory: 6332 grad_norm: 4.0258 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2817 loss: 2.2817 2022/08/19 02:43:58 - mmengine - INFO - Epoch(train) [179][3600/3757] lr: 2.1210e-02 eta: 23:48:41 time: 0.2839 data_time: 0.0165 memory: 6332 grad_norm: 3.9313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2579 loss: 2.2579 2022/08/19 02:44:27 - mmengine - INFO - Epoch(train) [179][3700/3757] lr: 2.1210e-02 eta: 23:48:08 time: 0.2919 data_time: 0.0180 memory: 6332 grad_norm: 3.9545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3486 loss: 2.3486 2022/08/19 02:44:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:44:47 - mmengine - INFO - Epoch(train) [179][3757/3757] lr: 2.1210e-02 eta: 23:47:55 time: 0.4500 data_time: 0.0145 memory: 6332 grad_norm: 3.8725 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.3830 loss: 2.3830 2022/08/19 02:45:22 - mmengine - INFO - Epoch(train) [180][100/3757] lr: 2.0710e-02 eta: 23:47:22 time: 0.2895 data_time: 0.0168 memory: 6332 grad_norm: 3.9423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6264 loss: 2.6264 2022/08/19 02:45:51 - mmengine - INFO - Epoch(train) [180][200/3757] lr: 2.0710e-02 eta: 23:46:48 time: 0.2843 data_time: 0.0165 memory: 6332 grad_norm: 4.0982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4172 loss: 2.4172 2022/08/19 02:46:20 - mmengine - INFO - Epoch(train) [180][300/3757] lr: 2.0710e-02 eta: 23:46:16 time: 0.2858 data_time: 0.0169 memory: 6332 grad_norm: 3.7384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1472 loss: 2.1472 2022/08/19 02:46:49 - mmengine - INFO - Epoch(train) [180][400/3757] lr: 2.0710e-02 eta: 23:45:42 time: 0.2845 data_time: 0.0168 memory: 6332 grad_norm: 4.0264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4958 loss: 2.4958 2022/08/19 02:47:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:47:18 - mmengine - INFO - Epoch(train) [180][500/3757] lr: 2.0710e-02 eta: 23:45:09 time: 0.2867 data_time: 0.0171 memory: 6332 grad_norm: 3.9225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7855 loss: 2.7855 2022/08/19 02:47:47 - mmengine - INFO - Epoch(train) [180][600/3757] lr: 2.0710e-02 eta: 23:44:36 time: 0.2884 data_time: 0.0193 memory: 6332 grad_norm: 3.9429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5055 loss: 2.5055 2022/08/19 02:48:17 - mmengine - INFO - Epoch(train) [180][700/3757] lr: 2.0710e-02 eta: 23:44:03 time: 0.2924 data_time: 0.0178 memory: 6332 grad_norm: 3.9838 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5452 loss: 2.5452 2022/08/19 02:48:46 - mmengine - INFO - Epoch(train) [180][800/3757] lr: 2.0710e-02 eta: 23:43:30 time: 0.2864 data_time: 0.0186 memory: 6332 grad_norm: 3.9143 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2690 loss: 2.2690 2022/08/19 02:49:18 - mmengine - INFO - Epoch(train) [180][900/3757] lr: 2.0710e-02 eta: 23:43:10 time: 0.3927 data_time: 0.0278 memory: 6332 grad_norm: 3.9477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6533 loss: 2.6533 2022/08/19 02:49:49 - mmengine - INFO - Epoch(train) [180][1000/3757] lr: 2.0710e-02 eta: 23:42:48 time: 0.2847 data_time: 0.0160 memory: 6332 grad_norm: 3.8633 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5672 loss: 2.5672 2022/08/19 02:50:18 - mmengine - INFO - Epoch(train) [180][1100/3757] lr: 2.0710e-02 eta: 23:42:16 time: 0.2960 data_time: 0.0183 memory: 6332 grad_norm: 4.0285 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2347 loss: 2.2347 2022/08/19 02:50:47 - mmengine - INFO - Epoch(train) [180][1200/3757] lr: 2.0710e-02 eta: 23:41:43 time: 0.2857 data_time: 0.0179 memory: 6332 grad_norm: 3.9886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4919 loss: 2.4919 2022/08/19 02:51:16 - mmengine - INFO - Epoch(train) [180][1300/3757] lr: 2.0710e-02 eta: 23:41:11 time: 0.2937 data_time: 0.0183 memory: 6332 grad_norm: 3.8617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2359 loss: 2.2359 2022/08/19 02:51:46 - mmengine - INFO - Epoch(train) [180][1400/3757] lr: 2.0710e-02 eta: 23:40:40 time: 0.2852 data_time: 0.0170 memory: 6332 grad_norm: 3.9650 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2668 loss: 2.2668 2022/08/19 02:52:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:52:15 - mmengine - INFO - Epoch(train) [180][1500/3757] lr: 2.0710e-02 eta: 23:40:08 time: 0.2974 data_time: 0.0171 memory: 6332 grad_norm: 4.0009 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3591 loss: 2.3591 2022/08/19 02:52:44 - mmengine - INFO - Epoch(train) [180][1600/3757] lr: 2.0710e-02 eta: 23:39:35 time: 0.2853 data_time: 0.0168 memory: 6332 grad_norm: 4.0025 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6309 loss: 2.6309 2022/08/19 02:53:14 - mmengine - INFO - Epoch(train) [180][1700/3757] lr: 2.0710e-02 eta: 23:39:03 time: 0.2961 data_time: 0.0191 memory: 6332 grad_norm: 3.9100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4540 loss: 2.4540 2022/08/19 02:53:43 - mmengine - INFO - Epoch(train) [180][1800/3757] lr: 2.0710e-02 eta: 23:38:29 time: 0.2847 data_time: 0.0168 memory: 6332 grad_norm: 4.0317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4109 loss: 2.4109 2022/08/19 02:54:12 - mmengine - INFO - Epoch(train) [180][1900/3757] lr: 2.0710e-02 eta: 23:37:56 time: 0.2861 data_time: 0.0172 memory: 6332 grad_norm: 3.9164 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5873 loss: 2.5873 2022/08/19 02:54:41 - mmengine - INFO - Epoch(train) [180][2000/3757] lr: 2.0710e-02 eta: 23:37:23 time: 0.2865 data_time: 0.0172 memory: 6332 grad_norm: 3.9877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3626 loss: 2.3626 2022/08/19 02:55:10 - mmengine - INFO - Epoch(train) [180][2100/3757] lr: 2.0710e-02 eta: 23:36:52 time: 0.2851 data_time: 0.0172 memory: 6332 grad_norm: 3.8823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3754 loss: 2.3754 2022/08/19 02:55:40 - mmengine - INFO - Epoch(train) [180][2200/3757] lr: 2.0710e-02 eta: 23:36:20 time: 0.2843 data_time: 0.0163 memory: 6332 grad_norm: 3.9470 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9360 loss: 2.9360 2022/08/19 02:56:09 - mmengine - INFO - Epoch(train) [180][2300/3757] lr: 2.0710e-02 eta: 23:35:46 time: 0.2865 data_time: 0.0171 memory: 6332 grad_norm: 4.0352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5702 loss: 2.5702 2022/08/19 02:56:38 - mmengine - INFO - Epoch(train) [180][2400/3757] lr: 2.0710e-02 eta: 23:35:15 time: 0.3005 data_time: 0.0179 memory: 6332 grad_norm: 4.0697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3487 loss: 2.3487 2022/08/19 02:57:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 02:57:07 - mmengine - INFO - Epoch(train) [180][2500/3757] lr: 2.0710e-02 eta: 23:34:42 time: 0.2881 data_time: 0.0160 memory: 6332 grad_norm: 3.8950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4352 loss: 2.4352 2022/08/19 02:57:36 - mmengine - INFO - Epoch(train) [180][2600/3757] lr: 2.0710e-02 eta: 23:34:10 time: 0.2954 data_time: 0.0191 memory: 6332 grad_norm: 3.9841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4341 loss: 2.4341 2022/08/19 02:58:05 - mmengine - INFO - Epoch(train) [180][2700/3757] lr: 2.0710e-02 eta: 23:33:36 time: 0.2855 data_time: 0.0165 memory: 6332 grad_norm: 3.9285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2449 loss: 2.2449 2022/08/19 02:58:35 - mmengine - INFO - Epoch(train) [180][2800/3757] lr: 2.0710e-02 eta: 23:33:04 time: 0.3001 data_time: 0.0191 memory: 6332 grad_norm: 3.9555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4663 loss: 2.4663 2022/08/19 02:59:04 - mmengine - INFO - Epoch(train) [180][2900/3757] lr: 2.0710e-02 eta: 23:32:32 time: 0.2949 data_time: 0.0163 memory: 6332 grad_norm: 3.7218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3942 loss: 2.3942 2022/08/19 02:59:33 - mmengine - INFO - Epoch(train) [180][3000/3757] lr: 2.0710e-02 eta: 23:32:00 time: 0.2862 data_time: 0.0176 memory: 6332 grad_norm: 3.9581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4309 loss: 2.4309 2022/08/19 03:00:02 - mmengine - INFO - Epoch(train) [180][3100/3757] lr: 2.0710e-02 eta: 23:31:28 time: 0.2854 data_time: 0.0164 memory: 6332 grad_norm: 4.0089 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1150 loss: 2.1150 2022/08/19 03:00:31 - mmengine - INFO - Epoch(train) [180][3200/3757] lr: 2.0710e-02 eta: 23:30:54 time: 0.2845 data_time: 0.0169 memory: 6332 grad_norm: 3.9951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3296 loss: 2.3296 2022/08/19 03:01:00 - mmengine - INFO - Epoch(train) [180][3300/3757] lr: 2.0710e-02 eta: 23:30:22 time: 0.2848 data_time: 0.0177 memory: 6332 grad_norm: 4.0204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5109 loss: 2.5109 2022/08/19 03:01:30 - mmengine - INFO - Epoch(train) [180][3400/3757] lr: 2.0710e-02 eta: 23:29:49 time: 0.2867 data_time: 0.0172 memory: 6332 grad_norm: 4.0143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1565 loss: 2.1565 2022/08/19 03:01:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:01:59 - mmengine - INFO - Epoch(train) [180][3500/3757] lr: 2.0710e-02 eta: 23:29:18 time: 0.2970 data_time: 0.0191 memory: 6332 grad_norm: 3.9044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2361 loss: 2.2361 2022/08/19 03:02:28 - mmengine - INFO - Epoch(train) [180][3600/3757] lr: 2.0710e-02 eta: 23:28:44 time: 0.2853 data_time: 0.0183 memory: 6332 grad_norm: 4.0648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5073 loss: 2.5073 2022/08/19 03:02:57 - mmengine - INFO - Epoch(train) [180][3700/3757] lr: 2.0710e-02 eta: 23:28:12 time: 0.2958 data_time: 0.0186 memory: 6332 grad_norm: 3.9516 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8002 loss: 2.8002 2022/08/19 03:03:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:03:13 - mmengine - INFO - Epoch(train) [180][3757/3757] lr: 2.0710e-02 eta: 23:27:59 time: 0.2672 data_time: 0.0159 memory: 6332 grad_norm: 4.0343 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3751 loss: 2.3751 2022/08/19 03:03:13 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/19 03:03:40 - mmengine - INFO - Epoch(val) [180][100/310] eta: 0:00:43 time: 0.2077 data_time: 0.1160 memory: 1147 2022/08/19 03:04:00 - mmengine - INFO - Epoch(val) [180][200/310] eta: 0:00:20 time: 0.1839 data_time: 0.0901 memory: 1147 2022/08/19 03:04:20 - mmengine - INFO - Epoch(val) [180][300/310] eta: 0:00:01 time: 0.1344 data_time: 0.0596 memory: 1147 2022/08/19 03:04:22 - mmengine - INFO - Epoch(val) [180][310/310] acc/top1: 0.5401 acc/top5: 0.7844 acc/mean1: 0.5400 2022/08/19 03:04:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_176.pth is removed 2022/08/19 03:04:26 - mmengine - INFO - The best checkpoint with 0.5401 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth. 2022/08/19 03:04:56 - mmengine - INFO - Epoch(train) [181][100/3757] lr: 2.0215e-02 eta: 23:27:02 time: 0.2872 data_time: 0.0166 memory: 6332 grad_norm: 3.8072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3527 loss: 2.3527 2022/08/19 03:05:25 - mmengine - INFO - Epoch(train) [181][200/3757] lr: 2.0215e-02 eta: 23:26:29 time: 0.2894 data_time: 0.0196 memory: 6332 grad_norm: 3.9774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/08/19 03:05:54 - mmengine - INFO - Epoch(train) [181][300/3757] lr: 2.0215e-02 eta: 23:25:58 time: 0.2923 data_time: 0.0164 memory: 6332 grad_norm: 3.9838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4668 loss: 2.4668 2022/08/19 03:06:23 - mmengine - INFO - Epoch(train) [181][400/3757] lr: 2.0215e-02 eta: 23:25:24 time: 0.2852 data_time: 0.0176 memory: 6332 grad_norm: 4.0076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2728 loss: 2.2728 2022/08/19 03:06:52 - mmengine - INFO - Epoch(train) [181][500/3757] lr: 2.0215e-02 eta: 23:24:52 time: 0.2866 data_time: 0.0176 memory: 6332 grad_norm: 4.0422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3250 loss: 2.3250 2022/08/19 03:07:22 - mmengine - INFO - Epoch(train) [181][600/3757] lr: 2.0215e-02 eta: 23:24:19 time: 0.2845 data_time: 0.0172 memory: 6332 grad_norm: 3.9625 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0919 loss: 2.0919 2022/08/19 03:07:50 - mmengine - INFO - Epoch(train) [181][700/3757] lr: 2.0215e-02 eta: 23:23:46 time: 0.2846 data_time: 0.0160 memory: 6332 grad_norm: 3.9518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4065 loss: 2.4065 2022/08/19 03:08:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:08:20 - mmengine - INFO - Epoch(train) [181][800/3757] lr: 2.0215e-02 eta: 23:23:13 time: 0.2944 data_time: 0.0180 memory: 6332 grad_norm: 3.8633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/08/19 03:08:49 - mmengine - INFO - Epoch(train) [181][900/3757] lr: 2.0215e-02 eta: 23:22:41 time: 0.2973 data_time: 0.0184 memory: 6332 grad_norm: 3.9328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4163 loss: 2.4163 2022/08/19 03:09:18 - mmengine - INFO - Epoch(train) [181][1000/3757] lr: 2.0215e-02 eta: 23:22:09 time: 0.2893 data_time: 0.0179 memory: 6332 grad_norm: 3.8694 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2879 loss: 2.2879 2022/08/19 03:09:47 - mmengine - INFO - Epoch(train) [181][1100/3757] lr: 2.0215e-02 eta: 23:21:37 time: 0.2911 data_time: 0.0178 memory: 6332 grad_norm: 3.8912 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4396 loss: 2.4396 2022/08/19 03:10:16 - mmengine - INFO - Epoch(train) [181][1200/3757] lr: 2.0215e-02 eta: 23:21:04 time: 0.2858 data_time: 0.0174 memory: 6332 grad_norm: 4.0070 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4785 loss: 2.4785 2022/08/19 03:10:45 - mmengine - INFO - Epoch(train) [181][1300/3757] lr: 2.0215e-02 eta: 23:20:31 time: 0.2893 data_time: 0.0166 memory: 6332 grad_norm: 3.8788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2916 loss: 2.2916 2022/08/19 03:11:14 - mmengine - INFO - Epoch(train) [181][1400/3757] lr: 2.0215e-02 eta: 23:19:58 time: 0.2849 data_time: 0.0160 memory: 6332 grad_norm: 3.8612 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2111 loss: 2.2111 2022/08/19 03:11:43 - mmengine - INFO - Epoch(train) [181][1500/3757] lr: 2.0215e-02 eta: 23:19:26 time: 0.2857 data_time: 0.0182 memory: 6332 grad_norm: 4.0741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8729 loss: 1.8729 2022/08/19 03:12:13 - mmengine - INFO - Epoch(train) [181][1600/3757] lr: 2.0215e-02 eta: 23:18:54 time: 0.2853 data_time: 0.0174 memory: 6332 grad_norm: 3.9810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2606 loss: 2.2606 2022/08/19 03:12:42 - mmengine - INFO - Epoch(train) [181][1700/3757] lr: 2.0215e-02 eta: 23:18:21 time: 0.2838 data_time: 0.0166 memory: 6332 grad_norm: 3.9861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2958 loss: 2.2958 2022/08/19 03:12:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:13:11 - mmengine - INFO - Epoch(train) [181][1800/3757] lr: 2.0215e-02 eta: 23:17:49 time: 0.2852 data_time: 0.0180 memory: 6332 grad_norm: 4.0282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3574 loss: 2.3574 2022/08/19 03:13:40 - mmengine - INFO - Epoch(train) [181][1900/3757] lr: 2.0215e-02 eta: 23:17:16 time: 0.2862 data_time: 0.0186 memory: 6332 grad_norm: 3.9481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1792 loss: 2.1792 2022/08/19 03:14:09 - mmengine - INFO - Epoch(train) [181][2000/3757] lr: 2.0215e-02 eta: 23:16:44 time: 0.2920 data_time: 0.0193 memory: 6332 grad_norm: 4.0758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4515 loss: 2.4515 2022/08/19 03:14:38 - mmengine - INFO - Epoch(train) [181][2100/3757] lr: 2.0215e-02 eta: 23:16:11 time: 0.2914 data_time: 0.0182 memory: 6332 grad_norm: 3.9589 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3945 loss: 2.3945 2022/08/19 03:15:07 - mmengine - INFO - Epoch(train) [181][2200/3757] lr: 2.0215e-02 eta: 23:15:39 time: 0.2895 data_time: 0.0175 memory: 6332 grad_norm: 4.0831 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3484 loss: 2.3484 2022/08/19 03:15:37 - mmengine - INFO - Epoch(train) [181][2300/3757] lr: 2.0215e-02 eta: 23:15:08 time: 0.3049 data_time: 0.0188 memory: 6332 grad_norm: 4.0608 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6548 loss: 2.6548 2022/08/19 03:16:06 - mmengine - INFO - Epoch(train) [181][2400/3757] lr: 2.0215e-02 eta: 23:14:36 time: 0.2863 data_time: 0.0170 memory: 6332 grad_norm: 3.9860 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4207 loss: 2.4207 2022/08/19 03:16:35 - mmengine - INFO - Epoch(train) [181][2500/3757] lr: 2.0215e-02 eta: 23:14:04 time: 0.2921 data_time: 0.0180 memory: 6332 grad_norm: 3.9372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2660 loss: 2.2660 2022/08/19 03:17:04 - mmengine - INFO - Epoch(train) [181][2600/3757] lr: 2.0215e-02 eta: 23:13:32 time: 0.2863 data_time: 0.0162 memory: 6332 grad_norm: 3.9052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3599 loss: 2.3599 2022/08/19 03:17:34 - mmengine - INFO - Epoch(train) [181][2700/3757] lr: 2.0215e-02 eta: 23:13:00 time: 0.2872 data_time: 0.0201 memory: 6332 grad_norm: 3.9617 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4252 loss: 2.4252 2022/08/19 03:17:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:18:03 - mmengine - INFO - Epoch(train) [181][2800/3757] lr: 2.0215e-02 eta: 23:12:28 time: 0.2854 data_time: 0.0174 memory: 6332 grad_norm: 4.0545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6286 loss: 2.6286 2022/08/19 03:18:32 - mmengine - INFO - Epoch(train) [181][2900/3757] lr: 2.0215e-02 eta: 23:11:57 time: 0.2863 data_time: 0.0168 memory: 6332 grad_norm: 4.0009 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4186 loss: 2.4186 2022/08/19 03:19:01 - mmengine - INFO - Epoch(train) [181][3000/3757] lr: 2.0215e-02 eta: 23:11:24 time: 0.2860 data_time: 0.0177 memory: 6332 grad_norm: 4.1141 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3283 loss: 2.3283 2022/08/19 03:19:30 - mmengine - INFO - Epoch(train) [181][3100/3757] lr: 2.0215e-02 eta: 23:10:52 time: 0.2896 data_time: 0.0197 memory: 6332 grad_norm: 3.9945 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5129 loss: 2.5129 2022/08/19 03:20:00 - mmengine - INFO - Epoch(train) [181][3200/3757] lr: 2.0215e-02 eta: 23:10:21 time: 0.2915 data_time: 0.0182 memory: 6332 grad_norm: 4.0532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6481 loss: 2.6481 2022/08/19 03:20:29 - mmengine - INFO - Epoch(train) [181][3300/3757] lr: 2.0215e-02 eta: 23:09:48 time: 0.2858 data_time: 0.0177 memory: 6332 grad_norm: 4.1177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4366 loss: 2.4366 2022/08/19 03:20:58 - mmengine - INFO - Epoch(train) [181][3400/3757] lr: 2.0215e-02 eta: 23:09:17 time: 0.2943 data_time: 0.0182 memory: 6332 grad_norm: 3.9534 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.3822 loss: 2.3822 2022/08/19 03:21:27 - mmengine - INFO - Epoch(train) [181][3500/3757] lr: 2.0215e-02 eta: 23:08:44 time: 0.2859 data_time: 0.0171 memory: 6332 grad_norm: 3.8562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3840 loss: 2.3840 2022/08/19 03:21:56 - mmengine - INFO - Epoch(train) [181][3600/3757] lr: 2.0215e-02 eta: 23:08:13 time: 0.2954 data_time: 0.0185 memory: 6332 grad_norm: 3.9779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1656 loss: 2.1656 2022/08/19 03:22:26 - mmengine - INFO - Epoch(train) [181][3700/3757] lr: 2.0215e-02 eta: 23:07:41 time: 0.2897 data_time: 0.0171 memory: 6332 grad_norm: 4.1258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4660 loss: 2.4660 2022/08/19 03:22:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:22:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:22:42 - mmengine - INFO - Epoch(train) [181][3757/3757] lr: 2.0215e-02 eta: 23:07:29 time: 0.2669 data_time: 0.0154 memory: 6332 grad_norm: 3.9444 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.4864 loss: 2.4864 2022/08/19 03:23:13 - mmengine - INFO - Epoch(train) [182][100/3757] lr: 1.9724e-02 eta: 23:06:38 time: 0.2853 data_time: 0.0171 memory: 6332 grad_norm: 3.8303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/08/19 03:23:42 - mmengine - INFO - Epoch(train) [182][200/3757] lr: 1.9724e-02 eta: 23:06:05 time: 0.2856 data_time: 0.0174 memory: 6332 grad_norm: 4.0326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7711 loss: 2.7711 2022/08/19 03:24:11 - mmengine - INFO - Epoch(train) [182][300/3757] lr: 1.9724e-02 eta: 23:05:33 time: 0.2846 data_time: 0.0171 memory: 6332 grad_norm: 3.9663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2928 loss: 2.2928 2022/08/19 03:24:40 - mmengine - INFO - Epoch(train) [182][400/3757] lr: 1.9724e-02 eta: 23:05:01 time: 0.2941 data_time: 0.0185 memory: 6332 grad_norm: 3.9612 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3957 loss: 2.3957 2022/08/19 03:25:09 - mmengine - INFO - Epoch(train) [182][500/3757] lr: 1.9724e-02 eta: 23:04:29 time: 0.2860 data_time: 0.0170 memory: 6332 grad_norm: 3.9603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5813 loss: 2.5813 2022/08/19 03:25:39 - mmengine - INFO - Epoch(train) [182][600/3757] lr: 1.9724e-02 eta: 23:03:58 time: 0.3027 data_time: 0.0175 memory: 6332 grad_norm: 4.0929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6990 loss: 2.6990 2022/08/19 03:26:08 - mmengine - INFO - Epoch(train) [182][700/3757] lr: 1.9724e-02 eta: 23:03:25 time: 0.2876 data_time: 0.0173 memory: 6332 grad_norm: 4.0422 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3807 loss: 2.3807 2022/08/19 03:26:37 - mmengine - INFO - Epoch(train) [182][800/3757] lr: 1.9724e-02 eta: 23:02:53 time: 0.2934 data_time: 0.0181 memory: 6332 grad_norm: 4.0138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4853 loss: 2.4853 2022/08/19 03:27:06 - mmengine - INFO - Epoch(train) [182][900/3757] lr: 1.9724e-02 eta: 23:02:21 time: 0.2871 data_time: 0.0176 memory: 6332 grad_norm: 4.0970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3588 loss: 2.3588 2022/08/19 03:27:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:27:35 - mmengine - INFO - Epoch(train) [182][1000/3757] lr: 1.9724e-02 eta: 23:01:48 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 4.1179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7097 loss: 2.7097 2022/08/19 03:28:04 - mmengine - INFO - Epoch(train) [182][1100/3757] lr: 1.9724e-02 eta: 23:01:16 time: 0.2850 data_time: 0.0167 memory: 6332 grad_norm: 3.9800 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6062 loss: 2.6062 2022/08/19 03:28:33 - mmengine - INFO - Epoch(train) [182][1200/3757] lr: 1.9724e-02 eta: 23:00:43 time: 0.2868 data_time: 0.0171 memory: 6332 grad_norm: 4.0485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4730 loss: 2.4730 2022/08/19 03:29:02 - mmengine - INFO - Epoch(train) [182][1300/3757] lr: 1.9724e-02 eta: 23:00:11 time: 0.2864 data_time: 0.0170 memory: 6332 grad_norm: 4.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3105 loss: 2.3105 2022/08/19 03:29:32 - mmengine - INFO - Epoch(train) [182][1400/3757] lr: 1.9724e-02 eta: 22:59:40 time: 0.2866 data_time: 0.0178 memory: 6332 grad_norm: 4.0261 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1179 loss: 2.1179 2022/08/19 03:30:01 - mmengine - INFO - Epoch(train) [182][1500/3757] lr: 1.9724e-02 eta: 22:59:08 time: 0.2974 data_time: 0.0184 memory: 6332 grad_norm: 3.9087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2610 loss: 2.2610 2022/08/19 03:30:30 - mmengine - INFO - Epoch(train) [182][1600/3757] lr: 1.9724e-02 eta: 22:58:36 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 4.0917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3133 loss: 2.3133 2022/08/19 03:30:59 - mmengine - INFO - Epoch(train) [182][1700/3757] lr: 1.9724e-02 eta: 22:58:04 time: 0.2883 data_time: 0.0178 memory: 6332 grad_norm: 3.9660 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4506 loss: 2.4506 2022/08/19 03:31:28 - mmengine - INFO - Epoch(train) [182][1800/3757] lr: 1.9724e-02 eta: 22:57:34 time: 0.3011 data_time: 0.0196 memory: 6332 grad_norm: 4.0313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3289 loss: 2.3289 2022/08/19 03:31:57 - mmengine - INFO - Epoch(train) [182][1900/3757] lr: 1.9724e-02 eta: 22:57:01 time: 0.2873 data_time: 0.0180 memory: 6332 grad_norm: 3.9920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4777 loss: 2.4777 2022/08/19 03:32:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:32:27 - mmengine - INFO - Epoch(train) [182][2000/3757] lr: 1.9724e-02 eta: 22:56:30 time: 0.2915 data_time: 0.0175 memory: 6332 grad_norm: 4.0637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3059 loss: 2.3059 2022/08/19 03:32:56 - mmengine - INFO - Epoch(train) [182][2100/3757] lr: 1.9724e-02 eta: 22:55:57 time: 0.2844 data_time: 0.0164 memory: 6332 grad_norm: 3.9925 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4723 loss: 2.4723 2022/08/19 03:33:25 - mmengine - INFO - Epoch(train) [182][2200/3757] lr: 1.9724e-02 eta: 22:55:25 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 4.0468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4383 loss: 2.4383 2022/08/19 03:33:54 - mmengine - INFO - Epoch(train) [182][2300/3757] lr: 1.9724e-02 eta: 22:54:54 time: 0.2834 data_time: 0.0170 memory: 6332 grad_norm: 4.1233 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5795 loss: 2.5795 2022/08/19 03:34:23 - mmengine - INFO - Epoch(train) [182][2400/3757] lr: 1.9724e-02 eta: 22:54:21 time: 0.2851 data_time: 0.0177 memory: 6332 grad_norm: 3.9040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2503 loss: 2.2503 2022/08/19 03:34:52 - mmengine - INFO - Epoch(train) [182][2500/3757] lr: 1.9724e-02 eta: 22:53:50 time: 0.2869 data_time: 0.0182 memory: 6332 grad_norm: 3.9544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4555 loss: 2.4555 2022/08/19 03:35:22 - mmengine - INFO - Epoch(train) [182][2600/3757] lr: 1.9724e-02 eta: 22:53:18 time: 0.2940 data_time: 0.0163 memory: 6332 grad_norm: 4.1842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5504 loss: 2.5504 2022/08/19 03:35:51 - mmengine - INFO - Epoch(train) [182][2700/3757] lr: 1.9724e-02 eta: 22:52:47 time: 0.2902 data_time: 0.0182 memory: 6332 grad_norm: 3.9887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2315 loss: 2.2315 2022/08/19 03:36:20 - mmengine - INFO - Epoch(train) [182][2800/3757] lr: 1.9724e-02 eta: 22:52:16 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 3.9749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1947 loss: 2.1947 2022/08/19 03:36:49 - mmengine - INFO - Epoch(train) [182][2900/3757] lr: 1.9724e-02 eta: 22:51:43 time: 0.2900 data_time: 0.0175 memory: 6332 grad_norm: 3.9028 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4850 loss: 2.4850 2022/08/19 03:37:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:37:18 - mmengine - INFO - Epoch(train) [182][3000/3757] lr: 1.9724e-02 eta: 22:51:11 time: 0.2871 data_time: 0.0176 memory: 6332 grad_norm: 3.8937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2142 loss: 2.2142 2022/08/19 03:37:47 - mmengine - INFO - Epoch(train) [182][3100/3757] lr: 1.9724e-02 eta: 22:50:39 time: 0.2904 data_time: 0.0172 memory: 6332 grad_norm: 4.0151 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5113 loss: 2.5113 2022/08/19 03:38:16 - mmengine - INFO - Epoch(train) [182][3200/3757] lr: 1.9724e-02 eta: 22:50:07 time: 0.2867 data_time: 0.0178 memory: 6332 grad_norm: 4.0409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3612 loss: 2.3612 2022/08/19 03:38:45 - mmengine - INFO - Epoch(train) [182][3300/3757] lr: 1.9724e-02 eta: 22:49:34 time: 0.2852 data_time: 0.0175 memory: 6332 grad_norm: 4.0086 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/08/19 03:39:14 - mmengine - INFO - Epoch(train) [182][3400/3757] lr: 1.9724e-02 eta: 22:49:01 time: 0.2858 data_time: 0.0173 memory: 6332 grad_norm: 3.9658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4799 loss: 2.4799 2022/08/19 03:39:43 - mmengine - INFO - Epoch(train) [182][3500/3757] lr: 1.9724e-02 eta: 22:48:29 time: 0.2853 data_time: 0.0168 memory: 6332 grad_norm: 4.0122 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2839 loss: 2.2839 2022/08/19 03:40:12 - mmengine - INFO - Epoch(train) [182][3600/3757] lr: 1.9724e-02 eta: 22:47:56 time: 0.2881 data_time: 0.0180 memory: 6332 grad_norm: 4.0028 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4827 loss: 2.4827 2022/08/19 03:40:42 - mmengine - INFO - Epoch(train) [182][3700/3757] lr: 1.9724e-02 eta: 22:47:26 time: 0.3257 data_time: 0.0178 memory: 6332 grad_norm: 3.9922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0919 loss: 2.0919 2022/08/19 03:40:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:40:58 - mmengine - INFO - Epoch(train) [182][3757/3757] lr: 1.9724e-02 eta: 22:47:14 time: 0.2714 data_time: 0.0164 memory: 6332 grad_norm: 4.1539 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.3048 loss: 2.3048 2022/08/19 03:41:30 - mmengine - INFO - Epoch(train) [183][100/3757] lr: 1.9238e-02 eta: 22:46:27 time: 0.2911 data_time: 0.0173 memory: 6332 grad_norm: 4.0386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5309 loss: 2.5309 2022/08/19 03:41:59 - mmengine - INFO - Epoch(train) [183][200/3757] lr: 1.9238e-02 eta: 22:45:55 time: 0.2897 data_time: 0.0181 memory: 6332 grad_norm: 3.9720 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4159 loss: 2.4159 2022/08/19 03:42:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:42:28 - mmengine - INFO - Epoch(train) [183][300/3757] lr: 1.9238e-02 eta: 22:45:24 time: 0.2958 data_time: 0.0190 memory: 6332 grad_norm: 4.1311 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4524 loss: 2.4524 2022/08/19 03:42:57 - mmengine - INFO - Epoch(train) [183][400/3757] lr: 1.9238e-02 eta: 22:44:51 time: 0.2853 data_time: 0.0177 memory: 6332 grad_norm: 4.0248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3223 loss: 2.3223 2022/08/19 03:43:26 - mmengine - INFO - Epoch(train) [183][500/3757] lr: 1.9238e-02 eta: 22:44:20 time: 0.2859 data_time: 0.0177 memory: 6332 grad_norm: 4.0413 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2649 loss: 2.2649 2022/08/19 03:43:56 - mmengine - INFO - Epoch(train) [183][600/3757] lr: 1.9238e-02 eta: 22:43:50 time: 0.2863 data_time: 0.0168 memory: 6332 grad_norm: 4.1049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5316 loss: 2.5316 2022/08/19 03:44:25 - mmengine - INFO - Epoch(train) [183][700/3757] lr: 1.9238e-02 eta: 22:43:18 time: 0.2863 data_time: 0.0163 memory: 6332 grad_norm: 4.0742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1261 loss: 2.1261 2022/08/19 03:44:54 - mmengine - INFO - Epoch(train) [183][800/3757] lr: 1.9238e-02 eta: 22:42:45 time: 0.2853 data_time: 0.0178 memory: 6332 grad_norm: 4.1622 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5074 loss: 2.5074 2022/08/19 03:45:32 - mmengine - INFO - Epoch(train) [183][900/3757] lr: 1.9238e-02 eta: 22:42:50 time: 0.7361 data_time: 0.0514 memory: 6332 grad_norm: 4.0670 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0833 loss: 2.0833 2022/08/19 03:46:06 - mmengine - INFO - Epoch(train) [183][1000/3757] lr: 1.9238e-02 eta: 22:42:37 time: 0.2831 data_time: 0.0172 memory: 6332 grad_norm: 4.0387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4475 loss: 2.4475 2022/08/19 03:46:41 - mmengine - INFO - Epoch(train) [183][1100/3757] lr: 1.9238e-02 eta: 22:42:30 time: 0.4199 data_time: 0.0374 memory: 6332 grad_norm: 3.9124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3975 loss: 2.3975 2022/08/19 03:47:22 - mmengine - INFO - Epoch(train) [183][1200/3757] lr: 1.9238e-02 eta: 22:42:46 time: 0.3406 data_time: 0.0311 memory: 6332 grad_norm: 3.9764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3418 loss: 2.3418 2022/08/19 03:47:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:47:54 - mmengine - INFO - Epoch(train) [183][1300/3757] lr: 1.9238e-02 eta: 22:42:23 time: 0.3033 data_time: 0.0219 memory: 6332 grad_norm: 3.9944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3954 loss: 2.3954 2022/08/19 03:48:26 - mmengine - INFO - Epoch(train) [183][1400/3757] lr: 1.9238e-02 eta: 22:42:03 time: 0.2851 data_time: 0.0179 memory: 6332 grad_norm: 4.0311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2941 loss: 2.2941 2022/08/19 03:48:55 - mmengine - INFO - Epoch(train) [183][1500/3757] lr: 1.9238e-02 eta: 22:41:31 time: 0.2846 data_time: 0.0172 memory: 6332 grad_norm: 4.0200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0623 loss: 2.0623 2022/08/19 03:49:24 - mmengine - INFO - Epoch(train) [183][1600/3757] lr: 1.9238e-02 eta: 22:41:00 time: 0.2984 data_time: 0.0163 memory: 6332 grad_norm: 4.0501 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1921 loss: 2.1921 2022/08/19 03:50:02 - mmengine - INFO - Epoch(train) [183][1700/3757] lr: 1.9238e-02 eta: 22:41:04 time: 0.3091 data_time: 0.0258 memory: 6332 grad_norm: 3.9957 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3676 loss: 2.3676 2022/08/19 03:50:34 - mmengine - INFO - Epoch(train) [183][1800/3757] lr: 1.9238e-02 eta: 22:40:44 time: 0.3184 data_time: 0.0194 memory: 6332 grad_norm: 4.0047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3543 loss: 2.3543 2022/08/19 03:51:15 - mmengine - INFO - Epoch(train) [183][1900/3757] lr: 1.9238e-02 eta: 22:40:59 time: 0.4956 data_time: 0.0188 memory: 6332 grad_norm: 3.9822 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3559 loss: 2.3559 2022/08/19 03:51:46 - mmengine - INFO - Epoch(train) [183][2000/3757] lr: 1.9238e-02 eta: 22:40:33 time: 0.2867 data_time: 0.0168 memory: 6332 grad_norm: 4.0304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3896 loss: 2.3896 2022/08/19 03:52:34 - mmengine - INFO - Epoch(train) [183][2100/3757] lr: 1.9238e-02 eta: 22:41:17 time: 0.3133 data_time: 0.0341 memory: 6332 grad_norm: 3.9309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3579 loss: 2.3579 2022/08/19 03:53:05 - mmengine - INFO - Epoch(train) [183][2200/3757] lr: 1.9238e-02 eta: 22:40:52 time: 0.2856 data_time: 0.0168 memory: 6332 grad_norm: 4.0155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5193 loss: 2.5193 2022/08/19 03:53:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:53:34 - mmengine - INFO - Epoch(train) [183][2300/3757] lr: 1.9238e-02 eta: 22:40:19 time: 0.2882 data_time: 0.0187 memory: 6332 grad_norm: 3.9896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4272 loss: 2.4272 2022/08/19 03:54:03 - mmengine - INFO - Epoch(train) [183][2400/3757] lr: 1.9238e-02 eta: 22:39:47 time: 0.2936 data_time: 0.0169 memory: 6332 grad_norm: 4.0715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6309 loss: 2.6309 2022/08/19 03:54:32 - mmengine - INFO - Epoch(train) [183][2500/3757] lr: 1.9238e-02 eta: 22:39:15 time: 0.2887 data_time: 0.0184 memory: 6332 grad_norm: 4.1416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3223 loss: 2.3223 2022/08/19 03:55:02 - mmengine - INFO - Epoch(train) [183][2600/3757] lr: 1.9238e-02 eta: 22:38:43 time: 0.2946 data_time: 0.0171 memory: 6332 grad_norm: 4.0478 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1656 loss: 2.1656 2022/08/19 03:55:31 - mmengine - INFO - Epoch(train) [183][2700/3757] lr: 1.9238e-02 eta: 22:38:10 time: 0.2874 data_time: 0.0162 memory: 6332 grad_norm: 4.0212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3758 loss: 2.3758 2022/08/19 03:56:00 - mmengine - INFO - Epoch(train) [183][2800/3757] lr: 1.9238e-02 eta: 22:37:38 time: 0.2862 data_time: 0.0181 memory: 6332 grad_norm: 3.9602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/08/19 03:56:29 - mmengine - INFO - Epoch(train) [183][2900/3757] lr: 1.9238e-02 eta: 22:37:06 time: 0.2890 data_time: 0.0177 memory: 6332 grad_norm: 4.0119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1886 loss: 2.1886 2022/08/19 03:56:58 - mmengine - INFO - Epoch(train) [183][3000/3757] lr: 1.9238e-02 eta: 22:36:34 time: 0.2854 data_time: 0.0167 memory: 6332 grad_norm: 3.9104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0583 loss: 2.0583 2022/08/19 03:57:27 - mmengine - INFO - Epoch(train) [183][3100/3757] lr: 1.9238e-02 eta: 22:36:01 time: 0.2854 data_time: 0.0172 memory: 6332 grad_norm: 3.9199 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1064 loss: 2.1064 2022/08/19 03:57:56 - mmengine - INFO - Epoch(train) [183][3200/3757] lr: 1.9238e-02 eta: 22:35:30 time: 0.2866 data_time: 0.0182 memory: 6332 grad_norm: 4.1074 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2732 loss: 2.2732 2022/08/19 03:58:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 03:58:26 - mmengine - INFO - Epoch(train) [183][3300/3757] lr: 1.9238e-02 eta: 22:34:58 time: 0.2870 data_time: 0.0170 memory: 6332 grad_norm: 4.0943 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2123 loss: 2.2123 2022/08/19 03:58:55 - mmengine - INFO - Epoch(train) [183][3400/3757] lr: 1.9238e-02 eta: 22:34:27 time: 0.2854 data_time: 0.0173 memory: 6332 grad_norm: 4.1044 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4466 loss: 2.4466 2022/08/19 03:59:24 - mmengine - INFO - Epoch(train) [183][3500/3757] lr: 1.9238e-02 eta: 22:33:56 time: 0.2890 data_time: 0.0182 memory: 6332 grad_norm: 3.8852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5260 loss: 2.5260 2022/08/19 03:59:54 - mmengine - INFO - Epoch(train) [183][3600/3757] lr: 1.9238e-02 eta: 22:33:24 time: 0.2972 data_time: 0.0190 memory: 6332 grad_norm: 4.1317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1608 loss: 2.1608 2022/08/19 04:00:23 - mmengine - INFO - Epoch(train) [183][3700/3757] lr: 1.9238e-02 eta: 22:32:53 time: 0.2868 data_time: 0.0169 memory: 6332 grad_norm: 3.8652 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4162 loss: 2.4162 2022/08/19 04:00:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:00:40 - mmengine - INFO - Epoch(train) [183][3757/3757] lr: 1.9238e-02 eta: 22:32:40 time: 0.2831 data_time: 0.0173 memory: 6332 grad_norm: 4.0141 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2560 loss: 2.2560 2022/08/19 04:01:11 - mmengine - INFO - Epoch(train) [184][100/3757] lr: 1.8757e-02 eta: 22:31:53 time: 0.2864 data_time: 0.0167 memory: 6332 grad_norm: 3.9092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7239 loss: 2.7239 2022/08/19 04:01:40 - mmengine - INFO - Epoch(train) [184][200/3757] lr: 1.8757e-02 eta: 22:31:21 time: 0.2864 data_time: 0.0189 memory: 6332 grad_norm: 3.9885 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3597 loss: 2.3597 2022/08/19 04:02:10 - mmengine - INFO - Epoch(train) [184][300/3757] lr: 1.8757e-02 eta: 22:30:50 time: 0.2859 data_time: 0.0163 memory: 6332 grad_norm: 4.0661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3116 loss: 2.3116 2022/08/19 04:02:39 - mmengine - INFO - Epoch(train) [184][400/3757] lr: 1.8757e-02 eta: 22:30:18 time: 0.2866 data_time: 0.0181 memory: 6332 grad_norm: 4.1809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6115 loss: 2.6115 2022/08/19 04:02:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:03:08 - mmengine - INFO - Epoch(train) [184][500/3757] lr: 1.8757e-02 eta: 22:29:46 time: 0.2850 data_time: 0.0170 memory: 6332 grad_norm: 4.1316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2556 loss: 2.2556 2022/08/19 04:03:37 - mmengine - INFO - Epoch(train) [184][600/3757] lr: 1.8757e-02 eta: 22:29:13 time: 0.2852 data_time: 0.0164 memory: 6332 grad_norm: 4.0769 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4926 loss: 2.4926 2022/08/19 04:04:06 - mmengine - INFO - Epoch(train) [184][700/3757] lr: 1.8757e-02 eta: 22:28:42 time: 0.2848 data_time: 0.0180 memory: 6332 grad_norm: 4.1089 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1571 loss: 2.1571 2022/08/19 04:04:35 - mmengine - INFO - Epoch(train) [184][800/3757] lr: 1.8757e-02 eta: 22:28:09 time: 0.2894 data_time: 0.0174 memory: 6332 grad_norm: 4.1047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1825 loss: 2.1825 2022/08/19 04:05:04 - mmengine - INFO - Epoch(train) [184][900/3757] lr: 1.8757e-02 eta: 22:27:38 time: 0.2946 data_time: 0.0185 memory: 6332 grad_norm: 3.9378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1534 loss: 2.1534 2022/08/19 04:05:33 - mmengine - INFO - Epoch(train) [184][1000/3757] lr: 1.8757e-02 eta: 22:27:05 time: 0.2863 data_time: 0.0160 memory: 6332 grad_norm: 4.1056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4301 loss: 2.4301 2022/08/19 04:06:03 - mmengine - INFO - Epoch(train) [184][1100/3757] lr: 1.8757e-02 eta: 22:26:34 time: 0.3081 data_time: 0.0184 memory: 6332 grad_norm: 4.0171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2132 loss: 2.2132 2022/08/19 04:06:32 - mmengine - INFO - Epoch(train) [184][1200/3757] lr: 1.8757e-02 eta: 22:26:02 time: 0.2865 data_time: 0.0201 memory: 6332 grad_norm: 4.0076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1784 loss: 2.1784 2022/08/19 04:07:01 - mmengine - INFO - Epoch(train) [184][1300/3757] lr: 1.8757e-02 eta: 22:25:30 time: 0.3019 data_time: 0.0209 memory: 6332 grad_norm: 4.0363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1932 loss: 2.1932 2022/08/19 04:07:30 - mmengine - INFO - Epoch(train) [184][1400/3757] lr: 1.8757e-02 eta: 22:24:58 time: 0.2868 data_time: 0.0172 memory: 6332 grad_norm: 4.2341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2107 loss: 2.2107 2022/08/19 04:07:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:07:59 - mmengine - INFO - Epoch(train) [184][1500/3757] lr: 1.8757e-02 eta: 22:24:26 time: 0.2853 data_time: 0.0167 memory: 6332 grad_norm: 4.1258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1014 loss: 2.1014 2022/08/19 04:08:29 - mmengine - INFO - Epoch(train) [184][1600/3757] lr: 1.8757e-02 eta: 22:23:57 time: 0.2864 data_time: 0.0179 memory: 6332 grad_norm: 4.0805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3082 loss: 2.3082 2022/08/19 04:08:58 - mmengine - INFO - Epoch(train) [184][1700/3757] lr: 1.8757e-02 eta: 22:23:25 time: 0.2859 data_time: 0.0168 memory: 6332 grad_norm: 4.1770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0035 loss: 2.0035 2022/08/19 04:09:27 - mmengine - INFO - Epoch(train) [184][1800/3757] lr: 1.8757e-02 eta: 22:22:53 time: 0.2864 data_time: 0.0170 memory: 6332 grad_norm: 4.0514 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1787 loss: 2.1787 2022/08/19 04:09:57 - mmengine - INFO - Epoch(train) [184][1900/3757] lr: 1.8757e-02 eta: 22:22:21 time: 0.2855 data_time: 0.0178 memory: 6332 grad_norm: 4.0897 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5499 loss: 2.5499 2022/08/19 04:10:26 - mmengine - INFO - Epoch(train) [184][2000/3757] lr: 1.8757e-02 eta: 22:21:49 time: 0.2862 data_time: 0.0174 memory: 6332 grad_norm: 4.1179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1346 loss: 2.1346 2022/08/19 04:10:55 - mmengine - INFO - Epoch(train) [184][2100/3757] lr: 1.8757e-02 eta: 22:21:18 time: 0.2918 data_time: 0.0172 memory: 6332 grad_norm: 4.0546 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3544 loss: 2.3544 2022/08/19 04:11:24 - mmengine - INFO - Epoch(train) [184][2200/3757] lr: 1.8757e-02 eta: 22:20:45 time: 0.2873 data_time: 0.0167 memory: 6332 grad_norm: 4.0138 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6564 loss: 2.6564 2022/08/19 04:11:53 - mmengine - INFO - Epoch(train) [184][2300/3757] lr: 1.8757e-02 eta: 22:20:14 time: 0.2938 data_time: 0.0192 memory: 6332 grad_norm: 4.1319 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1907 loss: 2.1907 2022/08/19 04:12:22 - mmengine - INFO - Epoch(train) [184][2400/3757] lr: 1.8757e-02 eta: 22:19:41 time: 0.2873 data_time: 0.0169 memory: 6332 grad_norm: 4.1362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2396 loss: 2.2396 2022/08/19 04:12:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:12:51 - mmengine - INFO - Epoch(train) [184][2500/3757] lr: 1.8757e-02 eta: 22:19:09 time: 0.2916 data_time: 0.0179 memory: 6332 grad_norm: 4.1207 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6252 loss: 2.6252 2022/08/19 04:13:20 - mmengine - INFO - Epoch(train) [184][2600/3757] lr: 1.8757e-02 eta: 22:18:38 time: 0.2850 data_time: 0.0168 memory: 6332 grad_norm: 4.0352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0794 loss: 2.0794 2022/08/19 04:13:50 - mmengine - INFO - Epoch(train) [184][2700/3757] lr: 1.8757e-02 eta: 22:18:06 time: 0.2857 data_time: 0.0187 memory: 6332 grad_norm: 4.1056 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3731 loss: 2.3731 2022/08/19 04:14:19 - mmengine - INFO - Epoch(train) [184][2800/3757] lr: 1.8757e-02 eta: 22:17:35 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 3.9990 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2668 loss: 2.2668 2022/08/19 04:14:48 - mmengine - INFO - Epoch(train) [184][2900/3757] lr: 1.8757e-02 eta: 22:17:03 time: 0.2863 data_time: 0.0164 memory: 6332 grad_norm: 4.1719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4374 loss: 2.4374 2022/08/19 04:15:17 - mmengine - INFO - Epoch(train) [184][3000/3757] lr: 1.8757e-02 eta: 22:16:31 time: 0.2852 data_time: 0.0167 memory: 6332 grad_norm: 4.0273 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2930 loss: 2.2930 2022/08/19 04:15:47 - mmengine - INFO - Epoch(train) [184][3100/3757] lr: 1.8757e-02 eta: 22:16:00 time: 0.2971 data_time: 0.0174 memory: 6332 grad_norm: 4.0262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5297 loss: 2.5297 2022/08/19 04:16:16 - mmengine - INFO - Epoch(train) [184][3200/3757] lr: 1.8757e-02 eta: 22:15:30 time: 0.2931 data_time: 0.0196 memory: 6332 grad_norm: 4.1068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3967 loss: 2.3967 2022/08/19 04:16:45 - mmengine - INFO - Epoch(train) [184][3300/3757] lr: 1.8757e-02 eta: 22:14:58 time: 0.2874 data_time: 0.0172 memory: 6332 grad_norm: 4.0603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3516 loss: 2.3516 2022/08/19 04:17:14 - mmengine - INFO - Epoch(train) [184][3400/3757] lr: 1.8757e-02 eta: 22:14:26 time: 0.2879 data_time: 0.0169 memory: 6332 grad_norm: 4.1228 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5447 loss: 2.5447 2022/08/19 04:17:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:17:43 - mmengine - INFO - Epoch(train) [184][3500/3757] lr: 1.8757e-02 eta: 22:13:53 time: 0.2896 data_time: 0.0173 memory: 6332 grad_norm: 4.2581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2450 loss: 2.2450 2022/08/19 04:18:12 - mmengine - INFO - Epoch(train) [184][3600/3757] lr: 1.8757e-02 eta: 22:13:21 time: 0.2913 data_time: 0.0176 memory: 6332 grad_norm: 4.1372 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4918 loss: 2.4918 2022/08/19 04:18:41 - mmengine - INFO - Epoch(train) [184][3700/3757] lr: 1.8757e-02 eta: 22:12:49 time: 0.2859 data_time: 0.0156 memory: 6332 grad_norm: 3.9977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3401 loss: 2.3401 2022/08/19 04:18:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:18:58 - mmengine - INFO - Epoch(train) [184][3757/3757] lr: 1.8757e-02 eta: 22:12:37 time: 0.2675 data_time: 0.0159 memory: 6332 grad_norm: 4.0291 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1383 loss: 2.1383 2022/08/19 04:18:58 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/19 04:19:32 - mmengine - INFO - Epoch(train) [185][100/3757] lr: 1.8280e-02 eta: 22:11:46 time: 0.2942 data_time: 0.0186 memory: 6332 grad_norm: 4.0232 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/08/19 04:20:01 - mmengine - INFO - Epoch(train) [185][200/3757] lr: 1.8280e-02 eta: 22:11:14 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 4.0961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2628 loss: 2.2628 2022/08/19 04:20:30 - mmengine - INFO - Epoch(train) [185][300/3757] lr: 1.8280e-02 eta: 22:10:42 time: 0.2853 data_time: 0.0168 memory: 6332 grad_norm: 4.0726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2610 loss: 2.2610 2022/08/19 04:20:59 - mmengine - INFO - Epoch(train) [185][400/3757] lr: 1.8280e-02 eta: 22:10:12 time: 0.2851 data_time: 0.0170 memory: 6332 grad_norm: 4.0422 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3318 loss: 2.3318 2022/08/19 04:21:29 - mmengine - INFO - Epoch(train) [185][500/3757] lr: 1.8280e-02 eta: 22:09:40 time: 0.2860 data_time: 0.0160 memory: 6332 grad_norm: 4.0957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1144 loss: 2.1144 2022/08/19 04:21:58 - mmengine - INFO - Epoch(train) [185][600/3757] lr: 1.8280e-02 eta: 22:09:09 time: 0.2860 data_time: 0.0173 memory: 6332 grad_norm: 4.1811 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1691 loss: 2.1691 2022/08/19 04:22:27 - mmengine - INFO - Epoch(train) [185][700/3757] lr: 1.8280e-02 eta: 22:08:38 time: 0.2861 data_time: 0.0173 memory: 6332 grad_norm: 4.1362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1950 loss: 2.1950 2022/08/19 04:22:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:22:56 - mmengine - INFO - Epoch(train) [185][800/3757] lr: 1.8280e-02 eta: 22:08:07 time: 0.3011 data_time: 0.0180 memory: 6332 grad_norm: 4.1666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1514 loss: 2.1514 2022/08/19 04:23:26 - mmengine - INFO - Epoch(train) [185][900/3757] lr: 1.8280e-02 eta: 22:07:35 time: 0.2860 data_time: 0.0170 memory: 6332 grad_norm: 4.2073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5507 loss: 2.5507 2022/08/19 04:23:55 - mmengine - INFO - Epoch(train) [185][1000/3757] lr: 1.8280e-02 eta: 22:07:04 time: 0.2959 data_time: 0.0183 memory: 6332 grad_norm: 4.1801 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2546 loss: 2.2546 2022/08/19 04:24:24 - mmengine - INFO - Epoch(train) [185][1100/3757] lr: 1.8280e-02 eta: 22:06:33 time: 0.2870 data_time: 0.0171 memory: 6332 grad_norm: 3.8749 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0219 loss: 2.0219 2022/08/19 04:24:53 - mmengine - INFO - Epoch(train) [185][1200/3757] lr: 1.8280e-02 eta: 22:06:01 time: 0.2901 data_time: 0.0184 memory: 6332 grad_norm: 4.1840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/08/19 04:25:22 - mmengine - INFO - Epoch(train) [185][1300/3757] lr: 1.8280e-02 eta: 22:05:28 time: 0.2848 data_time: 0.0156 memory: 6332 grad_norm: 4.1874 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3607 loss: 2.3607 2022/08/19 04:25:51 - mmengine - INFO - Epoch(train) [185][1400/3757] lr: 1.8280e-02 eta: 22:04:57 time: 0.2849 data_time: 0.0166 memory: 6332 grad_norm: 4.1202 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3439 loss: 2.3439 2022/08/19 04:26:20 - mmengine - INFO - Epoch(train) [185][1500/3757] lr: 1.8280e-02 eta: 22:04:25 time: 0.2854 data_time: 0.0164 memory: 6332 grad_norm: 4.0424 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7725 loss: 2.7725 2022/08/19 04:26:50 - mmengine - INFO - Epoch(train) [185][1600/3757] lr: 1.8280e-02 eta: 22:03:55 time: 0.2840 data_time: 0.0169 memory: 6332 grad_norm: 4.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0570 loss: 2.0570 2022/08/19 04:27:19 - mmengine - INFO - Epoch(train) [185][1700/3757] lr: 1.8280e-02 eta: 22:03:23 time: 0.2865 data_time: 0.0170 memory: 6332 grad_norm: 4.1452 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4993 loss: 2.4993 2022/08/19 04:27:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:27:48 - mmengine - INFO - Epoch(train) [185][1800/3757] lr: 1.8280e-02 eta: 22:02:53 time: 0.2845 data_time: 0.0172 memory: 6332 grad_norm: 4.1084 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5596 loss: 2.5596 2022/08/19 04:28:17 - mmengine - INFO - Epoch(train) [185][1900/3757] lr: 1.8280e-02 eta: 22:02:21 time: 0.2872 data_time: 0.0176 memory: 6332 grad_norm: 4.3195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4956 loss: 2.4956 2022/08/19 04:28:47 - mmengine - INFO - Epoch(train) [185][2000/3757] lr: 1.8280e-02 eta: 22:01:51 time: 0.3146 data_time: 0.0172 memory: 6332 grad_norm: 3.9820 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3165 loss: 2.3165 2022/08/19 04:29:16 - mmengine - INFO - Epoch(train) [185][2100/3757] lr: 1.8280e-02 eta: 22:01:19 time: 0.2863 data_time: 0.0183 memory: 6332 grad_norm: 4.1615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0967 loss: 2.0967 2022/08/19 04:29:46 - mmengine - INFO - Epoch(train) [185][2200/3757] lr: 1.8280e-02 eta: 22:00:49 time: 0.2912 data_time: 0.0195 memory: 6332 grad_norm: 4.2200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4668 loss: 2.4668 2022/08/19 04:30:15 - mmengine - INFO - Epoch(train) [185][2300/3757] lr: 1.8280e-02 eta: 22:00:19 time: 0.2857 data_time: 0.0175 memory: 6332 grad_norm: 4.2820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3280 loss: 2.3280 2022/08/19 04:30:44 - mmengine - INFO - Epoch(train) [185][2400/3757] lr: 1.8280e-02 eta: 21:59:46 time: 0.2870 data_time: 0.0176 memory: 6332 grad_norm: 4.2822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4759 loss: 2.4759 2022/08/19 04:31:13 - mmengine - INFO - Epoch(train) [185][2500/3757] lr: 1.8280e-02 eta: 21:59:15 time: 0.2934 data_time: 0.0176 memory: 6332 grad_norm: 3.9853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2840 loss: 2.2840 2022/08/19 04:31:43 - mmengine - INFO - Epoch(train) [185][2600/3757] lr: 1.8280e-02 eta: 21:58:44 time: 0.2945 data_time: 0.0167 memory: 6332 grad_norm: 3.9939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2569 loss: 2.2569 2022/08/19 04:32:12 - mmengine - INFO - Epoch(train) [185][2700/3757] lr: 1.8280e-02 eta: 21:58:12 time: 0.2865 data_time: 0.0174 memory: 6332 grad_norm: 4.1543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1696 loss: 2.1696 2022/08/19 04:32:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:32:41 - mmengine - INFO - Epoch(train) [185][2800/3757] lr: 1.8280e-02 eta: 21:57:41 time: 0.2881 data_time: 0.0191 memory: 6332 grad_norm: 4.2506 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5038 loss: 2.5038 2022/08/19 04:33:10 - mmengine - INFO - Epoch(train) [185][2900/3757] lr: 1.8280e-02 eta: 21:57:09 time: 0.2868 data_time: 0.0166 memory: 6332 grad_norm: 4.1923 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4230 loss: 2.4230 2022/08/19 04:33:39 - mmengine - INFO - Epoch(train) [185][3000/3757] lr: 1.8280e-02 eta: 21:56:37 time: 0.2844 data_time: 0.0172 memory: 6332 grad_norm: 4.1812 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2395 loss: 2.2395 2022/08/19 04:34:09 - mmengine - INFO - Epoch(train) [185][3100/3757] lr: 1.8280e-02 eta: 21:56:07 time: 0.2842 data_time: 0.0177 memory: 6332 grad_norm: 4.2187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2735 loss: 2.2735 2022/08/19 04:34:38 - mmengine - INFO - Epoch(train) [185][3200/3757] lr: 1.8280e-02 eta: 21:55:36 time: 0.2864 data_time: 0.0173 memory: 6332 grad_norm: 4.1584 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1634 loss: 2.1634 2022/08/19 04:35:07 - mmengine - INFO - Epoch(train) [185][3300/3757] lr: 1.8280e-02 eta: 21:55:05 time: 0.2993 data_time: 0.0178 memory: 6332 grad_norm: 4.0951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1089 loss: 2.1089 2022/08/19 04:35:36 - mmengine - INFO - Epoch(train) [185][3400/3757] lr: 1.8280e-02 eta: 21:54:34 time: 0.2882 data_time: 0.0194 memory: 6332 grad_norm: 4.2871 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3647 loss: 2.3647 2022/08/19 04:36:06 - mmengine - INFO - Epoch(train) [185][3500/3757] lr: 1.8280e-02 eta: 21:54:03 time: 0.2900 data_time: 0.0174 memory: 6332 grad_norm: 3.9912 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5570 loss: 2.5570 2022/08/19 04:36:35 - mmengine - INFO - Epoch(train) [185][3600/3757] lr: 1.8280e-02 eta: 21:53:32 time: 0.2879 data_time: 0.0188 memory: 6332 grad_norm: 4.1280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4034 loss: 2.4034 2022/08/19 04:37:04 - mmengine - INFO - Epoch(train) [185][3700/3757] lr: 1.8280e-02 eta: 21:53:01 time: 0.2947 data_time: 0.0194 memory: 6332 grad_norm: 4.1762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4458 loss: 2.4458 2022/08/19 04:37:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:37:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:37:20 - mmengine - INFO - Epoch(train) [185][3757/3757] lr: 1.8280e-02 eta: 21:52:48 time: 0.2681 data_time: 0.0159 memory: 6332 grad_norm: 4.1813 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.4750 loss: 2.4750 2022/08/19 04:37:42 - mmengine - INFO - Epoch(val) [185][100/310] eta: 0:00:44 time: 0.2099 data_time: 0.1164 memory: 1147 2022/08/19 04:38:02 - mmengine - INFO - Epoch(val) [185][200/310] eta: 0:00:18 time: 0.1712 data_time: 0.0770 memory: 1147 2022/08/19 04:38:23 - mmengine - INFO - Epoch(val) [185][300/310] eta: 0:00:01 time: 0.1874 data_time: 0.0913 memory: 1147 2022/08/19 04:38:28 - mmengine - INFO - Epoch(val) [185][310/310] acc/top1: 0.5439 acc/top5: 0.7983 acc/mean1: 0.5439 2022/08/19 04:38:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_181.pth is removed 2022/08/19 04:38:31 - mmengine - INFO - The best checkpoint with 0.5439 acc/top1 at 186 epoch is saved to best_acc/top1_epoch_186.pth. 2022/08/19 04:39:01 - mmengine - INFO - Epoch(train) [186][100/3757] lr: 1.7808e-02 eta: 21:51:58 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 4.2432 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3477 loss: 2.3477 2022/08/19 04:39:30 - mmengine - INFO - Epoch(train) [186][200/3757] lr: 1.7808e-02 eta: 21:51:27 time: 0.2858 data_time: 0.0176 memory: 6332 grad_norm: 4.1682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2194 loss: 2.2194 2022/08/19 04:39:59 - mmengine - INFO - Epoch(train) [186][300/3757] lr: 1.7808e-02 eta: 21:50:55 time: 0.2851 data_time: 0.0172 memory: 6332 grad_norm: 4.1879 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3871 loss: 2.3871 2022/08/19 04:40:28 - mmengine - INFO - Epoch(train) [186][400/3757] lr: 1.7808e-02 eta: 21:50:23 time: 0.2849 data_time: 0.0169 memory: 6332 grad_norm: 4.1101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4098 loss: 2.4098 2022/08/19 04:40:57 - mmengine - INFO - Epoch(train) [186][500/3757] lr: 1.7808e-02 eta: 21:49:51 time: 0.2872 data_time: 0.0162 memory: 6332 grad_norm: 4.1551 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2595 loss: 2.2595 2022/08/19 04:41:26 - mmengine - INFO - Epoch(train) [186][600/3757] lr: 1.7808e-02 eta: 21:49:20 time: 0.2960 data_time: 0.0184 memory: 6332 grad_norm: 4.1467 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5662 loss: 2.5662 2022/08/19 04:41:56 - mmengine - INFO - Epoch(train) [186][700/3757] lr: 1.7808e-02 eta: 21:48:49 time: 0.2858 data_time: 0.0174 memory: 6332 grad_norm: 4.1299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1195 loss: 2.1195 2022/08/19 04:42:25 - mmengine - INFO - Epoch(train) [186][800/3757] lr: 1.7808e-02 eta: 21:48:17 time: 0.2919 data_time: 0.0169 memory: 6332 grad_norm: 4.0940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6887 loss: 2.6887 2022/08/19 04:42:54 - mmengine - INFO - Epoch(train) [186][900/3757] lr: 1.7808e-02 eta: 21:47:45 time: 0.2929 data_time: 0.0168 memory: 6332 grad_norm: 4.1698 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2624 loss: 2.2624 2022/08/19 04:43:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:43:23 - mmengine - INFO - Epoch(train) [186][1000/3757] lr: 1.7808e-02 eta: 21:47:14 time: 0.2848 data_time: 0.0179 memory: 6332 grad_norm: 4.1601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4522 loss: 2.4522 2022/08/19 04:43:52 - mmengine - INFO - Epoch(train) [186][1100/3757] lr: 1.7808e-02 eta: 21:46:43 time: 0.2858 data_time: 0.0166 memory: 6332 grad_norm: 4.0546 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0956 loss: 2.0956 2022/08/19 04:44:21 - mmengine - INFO - Epoch(train) [186][1200/3757] lr: 1.7808e-02 eta: 21:46:11 time: 0.2869 data_time: 0.0177 memory: 6332 grad_norm: 4.1415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5669 loss: 2.5669 2022/08/19 04:44:50 - mmengine - INFO - Epoch(train) [186][1300/3757] lr: 1.7808e-02 eta: 21:45:40 time: 0.2843 data_time: 0.0173 memory: 6332 grad_norm: 4.1109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2484 loss: 2.2484 2022/08/19 04:45:19 - mmengine - INFO - Epoch(train) [186][1400/3757] lr: 1.7808e-02 eta: 21:45:09 time: 0.2888 data_time: 0.0169 memory: 6332 grad_norm: 4.4063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4889 loss: 2.4889 2022/08/19 04:45:48 - mmengine - INFO - Epoch(train) [186][1500/3757] lr: 1.7808e-02 eta: 21:44:37 time: 0.2887 data_time: 0.0186 memory: 6332 grad_norm: 4.1998 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4695 loss: 2.4695 2022/08/19 04:46:17 - mmengine - INFO - Epoch(train) [186][1600/3757] lr: 1.7808e-02 eta: 21:44:05 time: 0.2866 data_time: 0.0168 memory: 6332 grad_norm: 4.1257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1035 loss: 2.1035 2022/08/19 04:46:47 - mmengine - INFO - Epoch(train) [186][1700/3757] lr: 1.7808e-02 eta: 21:43:34 time: 0.2942 data_time: 0.0175 memory: 6332 grad_norm: 4.0559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2465 loss: 2.2465 2022/08/19 04:47:16 - mmengine - INFO - Epoch(train) [186][1800/3757] lr: 1.7808e-02 eta: 21:43:03 time: 0.2865 data_time: 0.0197 memory: 6332 grad_norm: 4.0931 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3922 loss: 2.3922 2022/08/19 04:47:45 - mmengine - INFO - Epoch(train) [186][1900/3757] lr: 1.7808e-02 eta: 21:42:31 time: 0.2866 data_time: 0.0169 memory: 6332 grad_norm: 4.1603 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4417 loss: 2.4417 2022/08/19 04:48:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:48:14 - mmengine - INFO - Epoch(train) [186][2000/3757] lr: 1.7808e-02 eta: 21:41:59 time: 0.2867 data_time: 0.0168 memory: 6332 grad_norm: 4.1808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2457 loss: 2.2457 2022/08/19 04:48:43 - mmengine - INFO - Epoch(train) [186][2100/3757] lr: 1.7808e-02 eta: 21:41:27 time: 0.2839 data_time: 0.0163 memory: 6332 grad_norm: 4.1953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1533 loss: 2.1533 2022/08/19 04:49:11 - mmengine - INFO - Epoch(train) [186][2200/3757] lr: 1.7808e-02 eta: 21:40:55 time: 0.2842 data_time: 0.0165 memory: 6332 grad_norm: 4.1587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3638 loss: 2.3638 2022/08/19 04:49:41 - mmengine - INFO - Epoch(train) [186][2300/3757] lr: 1.7808e-02 eta: 21:40:23 time: 0.2861 data_time: 0.0174 memory: 6332 grad_norm: 4.2813 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3728 loss: 2.3728 2022/08/19 04:50:10 - mmengine - INFO - Epoch(train) [186][2400/3757] lr: 1.7808e-02 eta: 21:39:52 time: 0.2851 data_time: 0.0178 memory: 6332 grad_norm: 4.1423 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3703 loss: 2.3703 2022/08/19 04:50:39 - mmengine - INFO - Epoch(train) [186][2500/3757] lr: 1.7808e-02 eta: 21:39:20 time: 0.2883 data_time: 0.0177 memory: 6332 grad_norm: 4.0729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0158 loss: 2.0158 2022/08/19 04:51:08 - mmengine - INFO - Epoch(train) [186][2600/3757] lr: 1.7808e-02 eta: 21:38:49 time: 0.2897 data_time: 0.0179 memory: 6332 grad_norm: 4.1492 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1924 loss: 2.1924 2022/08/19 04:51:37 - mmengine - INFO - Epoch(train) [186][2700/3757] lr: 1.7808e-02 eta: 21:38:18 time: 0.2902 data_time: 0.0179 memory: 6332 grad_norm: 4.3271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1091 loss: 2.1091 2022/08/19 04:52:06 - mmengine - INFO - Epoch(train) [186][2800/3757] lr: 1.7808e-02 eta: 21:37:46 time: 0.2888 data_time: 0.0165 memory: 6332 grad_norm: 4.2157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9739 loss: 1.9739 2022/08/19 04:52:35 - mmengine - INFO - Epoch(train) [186][2900/3757] lr: 1.7808e-02 eta: 21:37:15 time: 0.2890 data_time: 0.0160 memory: 6332 grad_norm: 4.1933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2289 loss: 2.2289 2022/08/19 04:52:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:53:04 - mmengine - INFO - Epoch(train) [186][3000/3757] lr: 1.7808e-02 eta: 21:36:43 time: 0.2864 data_time: 0.0169 memory: 6332 grad_norm: 4.1641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1755 loss: 2.1755 2022/08/19 04:53:33 - mmengine - INFO - Epoch(train) [186][3100/3757] lr: 1.7808e-02 eta: 21:36:11 time: 0.2859 data_time: 0.0172 memory: 6332 grad_norm: 4.2659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1705 loss: 2.1705 2022/08/19 04:54:02 - mmengine - INFO - Epoch(train) [186][3200/3757] lr: 1.7808e-02 eta: 21:35:40 time: 0.2873 data_time: 0.0171 memory: 6332 grad_norm: 4.1675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2675 loss: 2.2675 2022/08/19 04:54:31 - mmengine - INFO - Epoch(train) [186][3300/3757] lr: 1.7808e-02 eta: 21:35:08 time: 0.2860 data_time: 0.0173 memory: 6332 grad_norm: 4.0292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2100 loss: 2.2100 2022/08/19 04:55:01 - mmengine - INFO - Epoch(train) [186][3400/3757] lr: 1.7808e-02 eta: 21:34:39 time: 0.2859 data_time: 0.0173 memory: 6332 grad_norm: 4.1939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6746 loss: 2.6746 2022/08/19 04:55:31 - mmengine - INFO - Epoch(train) [186][3500/3757] lr: 1.7808e-02 eta: 21:34:09 time: 0.2860 data_time: 0.0167 memory: 6332 grad_norm: 4.1181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3710 loss: 2.3710 2022/08/19 04:56:00 - mmengine - INFO - Epoch(train) [186][3600/3757] lr: 1.7808e-02 eta: 21:33:38 time: 0.2965 data_time: 0.0162 memory: 6332 grad_norm: 4.2713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4786 loss: 2.4786 2022/08/19 04:56:29 - mmengine - INFO - Epoch(train) [186][3700/3757] lr: 1.7808e-02 eta: 21:33:08 time: 0.2884 data_time: 0.0164 memory: 6332 grad_norm: 4.2345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5315 loss: 2.5315 2022/08/19 04:56:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:56:46 - mmengine - INFO - Epoch(train) [186][3757/3757] lr: 1.7808e-02 eta: 21:32:56 time: 0.2768 data_time: 0.0157 memory: 6332 grad_norm: 4.1245 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.4409 loss: 2.4409 2022/08/19 04:57:17 - mmengine - INFO - Epoch(train) [187][100/3757] lr: 1.7341e-02 eta: 21:32:11 time: 0.2999 data_time: 0.0189 memory: 6332 grad_norm: 4.2645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2932 loss: 2.2932 2022/08/19 04:57:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 04:57:47 - mmengine - INFO - Epoch(train) [187][200/3757] lr: 1.7341e-02 eta: 21:31:40 time: 0.2965 data_time: 0.0175 memory: 6332 grad_norm: 4.1123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/08/19 04:58:16 - mmengine - INFO - Epoch(train) [187][300/3757] lr: 1.7341e-02 eta: 21:31:09 time: 0.2991 data_time: 0.0181 memory: 6332 grad_norm: 4.2035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2316 loss: 2.2316 2022/08/19 04:58:45 - mmengine - INFO - Epoch(train) [187][400/3757] lr: 1.7341e-02 eta: 21:30:37 time: 0.2847 data_time: 0.0177 memory: 6332 grad_norm: 4.2249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/08/19 04:59:14 - mmengine - INFO - Epoch(train) [187][500/3757] lr: 1.7341e-02 eta: 21:30:07 time: 0.2852 data_time: 0.0167 memory: 6332 grad_norm: 4.1367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3371 loss: 2.3371 2022/08/19 04:59:43 - mmengine - INFO - Epoch(train) [187][600/3757] lr: 1.7341e-02 eta: 21:29:35 time: 0.2850 data_time: 0.0174 memory: 6332 grad_norm: 4.0854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0660 loss: 2.0660 2022/08/19 05:00:12 - mmengine - INFO - Epoch(train) [187][700/3757] lr: 1.7341e-02 eta: 21:29:05 time: 0.2858 data_time: 0.0171 memory: 6332 grad_norm: 4.1209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/08/19 05:00:41 - mmengine - INFO - Epoch(train) [187][800/3757] lr: 1.7341e-02 eta: 21:28:33 time: 0.2857 data_time: 0.0173 memory: 6332 grad_norm: 4.2049 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3332 loss: 2.3332 2022/08/19 05:01:11 - mmengine - INFO - Epoch(train) [187][900/3757] lr: 1.7341e-02 eta: 21:28:03 time: 0.2954 data_time: 0.0187 memory: 6332 grad_norm: 4.2570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5508 loss: 2.5508 2022/08/19 05:01:40 - mmengine - INFO - Epoch(train) [187][1000/3757] lr: 1.7341e-02 eta: 21:27:32 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 4.2276 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3233 loss: 2.3233 2022/08/19 05:02:09 - mmengine - INFO - Epoch(train) [187][1100/3757] lr: 1.7341e-02 eta: 21:27:00 time: 0.2934 data_time: 0.0189 memory: 6332 grad_norm: 4.2777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4059 loss: 2.4059 2022/08/19 05:02:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:02:38 - mmengine - INFO - Epoch(train) [187][1200/3757] lr: 1.7341e-02 eta: 21:26:29 time: 0.2857 data_time: 0.0171 memory: 6332 grad_norm: 4.2287 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5887 loss: 2.5887 2022/08/19 05:03:08 - mmengine - INFO - Epoch(train) [187][1300/3757] lr: 1.7341e-02 eta: 21:25:59 time: 0.2923 data_time: 0.0195 memory: 6332 grad_norm: 4.2267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4551 loss: 2.4551 2022/08/19 05:03:37 - mmengine - INFO - Epoch(train) [187][1400/3757] lr: 1.7341e-02 eta: 21:25:28 time: 0.2971 data_time: 0.0170 memory: 6332 grad_norm: 4.2342 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6963 loss: 2.6963 2022/08/19 05:04:06 - mmengine - INFO - Epoch(train) [187][1500/3757] lr: 1.7341e-02 eta: 21:24:58 time: 0.3098 data_time: 0.0170 memory: 6332 grad_norm: 4.2289 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6494 loss: 2.6494 2022/08/19 05:04:35 - mmengine - INFO - Epoch(train) [187][1600/3757] lr: 1.7341e-02 eta: 21:24:27 time: 0.2886 data_time: 0.0173 memory: 6332 grad_norm: 4.1877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2419 loss: 2.2419 2022/08/19 05:05:04 - mmengine - INFO - Epoch(train) [187][1700/3757] lr: 1.7341e-02 eta: 21:23:55 time: 0.2852 data_time: 0.0175 memory: 6332 grad_norm: 4.0482 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0920 loss: 2.0920 2022/08/19 05:05:34 - mmengine - INFO - Epoch(train) [187][1800/3757] lr: 1.7341e-02 eta: 21:23:24 time: 0.2855 data_time: 0.0170 memory: 6332 grad_norm: 4.0645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2044 loss: 2.2044 2022/08/19 05:06:03 - mmengine - INFO - Epoch(train) [187][1900/3757] lr: 1.7341e-02 eta: 21:22:54 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 4.0610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1202 loss: 2.1202 2022/08/19 05:06:32 - mmengine - INFO - Epoch(train) [187][2000/3757] lr: 1.7341e-02 eta: 21:22:23 time: 0.2856 data_time: 0.0176 memory: 6332 grad_norm: 4.2324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1067 loss: 2.1067 2022/08/19 05:07:01 - mmengine - INFO - Epoch(train) [187][2100/3757] lr: 1.7341e-02 eta: 21:21:52 time: 0.2871 data_time: 0.0185 memory: 6332 grad_norm: 4.2852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4440 loss: 2.4440 2022/08/19 05:07:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:07:31 - mmengine - INFO - Epoch(train) [187][2200/3757] lr: 1.7341e-02 eta: 21:21:21 time: 0.2980 data_time: 0.0177 memory: 6332 grad_norm: 4.2836 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5938 loss: 2.5938 2022/08/19 05:08:00 - mmengine - INFO - Epoch(train) [187][2300/3757] lr: 1.7341e-02 eta: 21:20:50 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 4.1864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3344 loss: 2.3344 2022/08/19 05:08:29 - mmengine - INFO - Epoch(train) [187][2400/3757] lr: 1.7341e-02 eta: 21:20:20 time: 0.2940 data_time: 0.0182 memory: 6332 grad_norm: 4.0793 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3743 loss: 2.3743 2022/08/19 05:08:58 - mmengine - INFO - Epoch(train) [187][2500/3757] lr: 1.7341e-02 eta: 21:19:49 time: 0.2874 data_time: 0.0169 memory: 6332 grad_norm: 4.1212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1977 loss: 2.1977 2022/08/19 05:09:28 - mmengine - INFO - Epoch(train) [187][2600/3757] lr: 1.7341e-02 eta: 21:19:19 time: 0.2963 data_time: 0.0180 memory: 6332 grad_norm: 4.2839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0960 loss: 2.0960 2022/08/19 05:09:57 - mmengine - INFO - Epoch(train) [187][2700/3757] lr: 1.7341e-02 eta: 21:18:48 time: 0.2861 data_time: 0.0163 memory: 6332 grad_norm: 4.2462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3496 loss: 2.3496 2022/08/19 05:10:27 - mmengine - INFO - Epoch(train) [187][2800/3757] lr: 1.7341e-02 eta: 21:18:19 time: 0.3189 data_time: 0.0198 memory: 6332 grad_norm: 4.1572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1018 loss: 2.1018 2022/08/19 05:10:56 - mmengine - INFO - Epoch(train) [187][2900/3757] lr: 1.7341e-02 eta: 21:17:47 time: 0.2859 data_time: 0.0168 memory: 6332 grad_norm: 4.2450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3007 loss: 2.3007 2022/08/19 05:11:25 - mmengine - INFO - Epoch(train) [187][3000/3757] lr: 1.7341e-02 eta: 21:17:16 time: 0.2864 data_time: 0.0168 memory: 6332 grad_norm: 4.2185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4639 loss: 2.4639 2022/08/19 05:11:54 - mmengine - INFO - Epoch(train) [187][3100/3757] lr: 1.7341e-02 eta: 21:16:45 time: 0.2861 data_time: 0.0176 memory: 6332 grad_norm: 4.0708 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4813 loss: 2.4813 2022/08/19 05:12:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:12:23 - mmengine - INFO - Epoch(train) [187][3200/3757] lr: 1.7341e-02 eta: 21:16:14 time: 0.2866 data_time: 0.0172 memory: 6332 grad_norm: 4.0799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5696 loss: 2.5696 2022/08/19 05:12:53 - mmengine - INFO - Epoch(train) [187][3300/3757] lr: 1.7341e-02 eta: 21:15:44 time: 0.2864 data_time: 0.0171 memory: 6332 grad_norm: 4.0727 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3019 loss: 2.3019 2022/08/19 05:13:22 - mmengine - INFO - Epoch(train) [187][3400/3757] lr: 1.7341e-02 eta: 21:15:13 time: 0.2864 data_time: 0.0155 memory: 6332 grad_norm: 4.2134 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2163 loss: 2.2163 2022/08/19 05:13:51 - mmengine - INFO - Epoch(train) [187][3500/3757] lr: 1.7341e-02 eta: 21:14:43 time: 0.2918 data_time: 0.0165 memory: 6332 grad_norm: 4.3220 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3357 loss: 2.3357 2022/08/19 05:14:20 - mmengine - INFO - Epoch(train) [187][3600/3757] lr: 1.7341e-02 eta: 21:14:12 time: 0.2869 data_time: 0.0170 memory: 6332 grad_norm: 4.2295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5365 loss: 2.5365 2022/08/19 05:14:50 - mmengine - INFO - Epoch(train) [187][3700/3757] lr: 1.7341e-02 eta: 21:13:41 time: 0.2948 data_time: 0.0187 memory: 6332 grad_norm: 4.2455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3719 loss: 2.3719 2022/08/19 05:15:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:15:06 - mmengine - INFO - Epoch(train) [187][3757/3757] lr: 1.7341e-02 eta: 21:13:29 time: 0.2738 data_time: 0.0142 memory: 6332 grad_norm: 4.3155 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.1974 loss: 2.1974 2022/08/19 05:15:41 - mmengine - INFO - Epoch(train) [188][100/3757] lr: 1.6879e-02 eta: 21:12:56 time: 0.2877 data_time: 0.0169 memory: 6332 grad_norm: 4.2194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4868 loss: 2.4868 2022/08/19 05:16:11 - mmengine - INFO - Epoch(train) [188][200/3757] lr: 1.6879e-02 eta: 21:12:26 time: 0.3018 data_time: 0.0186 memory: 6332 grad_norm: 4.2123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0593 loss: 2.0593 2022/08/19 05:16:40 - mmengine - INFO - Epoch(train) [188][300/3757] lr: 1.6879e-02 eta: 21:11:54 time: 0.2854 data_time: 0.0170 memory: 6332 grad_norm: 4.2323 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5398 loss: 2.5398 2022/08/19 05:17:09 - mmengine - INFO - Epoch(train) [188][400/3757] lr: 1.6879e-02 eta: 21:11:24 time: 0.2928 data_time: 0.0192 memory: 6332 grad_norm: 4.0989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/08/19 05:17:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:17:38 - mmengine - INFO - Epoch(train) [188][500/3757] lr: 1.6879e-02 eta: 21:10:53 time: 0.2880 data_time: 0.0175 memory: 6332 grad_norm: 4.2872 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3395 loss: 2.3395 2022/08/19 05:18:08 - mmengine - INFO - Epoch(train) [188][600/3757] lr: 1.6879e-02 eta: 21:10:23 time: 0.2975 data_time: 0.0185 memory: 6332 grad_norm: 4.1393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4955 loss: 2.4955 2022/08/19 05:18:37 - mmengine - INFO - Epoch(train) [188][700/3757] lr: 1.6879e-02 eta: 21:09:52 time: 0.2857 data_time: 0.0171 memory: 6332 grad_norm: 4.1396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3924 loss: 2.3924 2022/08/19 05:19:06 - mmengine - INFO - Epoch(train) [188][800/3757] lr: 1.6879e-02 eta: 21:09:21 time: 0.2851 data_time: 0.0171 memory: 6332 grad_norm: 4.3745 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5219 loss: 2.5219 2022/08/19 05:19:35 - mmengine - INFO - Epoch(train) [188][900/3757] lr: 1.6879e-02 eta: 21:08:50 time: 0.2874 data_time: 0.0177 memory: 6332 grad_norm: 4.3072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3353 loss: 2.3353 2022/08/19 05:20:04 - mmengine - INFO - Epoch(train) [188][1000/3757] lr: 1.6879e-02 eta: 21:08:19 time: 0.2877 data_time: 0.0168 memory: 6332 grad_norm: 4.3329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2862 loss: 2.2862 2022/08/19 05:20:34 - mmengine - INFO - Epoch(train) [188][1100/3757] lr: 1.6879e-02 eta: 21:07:49 time: 0.2863 data_time: 0.0175 memory: 6332 grad_norm: 4.1678 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1174 loss: 2.1174 2022/08/19 05:21:03 - mmengine - INFO - Epoch(train) [188][1200/3757] lr: 1.6879e-02 eta: 21:07:18 time: 0.2877 data_time: 0.0183 memory: 6332 grad_norm: 4.1457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3561 loss: 2.3561 2022/08/19 05:21:32 - mmengine - INFO - Epoch(train) [188][1300/3757] lr: 1.6879e-02 eta: 21:06:47 time: 0.2989 data_time: 0.0189 memory: 6332 grad_norm: 4.2037 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4297 loss: 2.4297 2022/08/19 05:22:01 - mmengine - INFO - Epoch(train) [188][1400/3757] lr: 1.6879e-02 eta: 21:06:16 time: 0.2847 data_time: 0.0161 memory: 6332 grad_norm: 4.2768 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4646 loss: 2.4646 2022/08/19 05:22:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:22:31 - mmengine - INFO - Epoch(train) [188][1500/3757] lr: 1.6879e-02 eta: 21:05:48 time: 0.3218 data_time: 0.0177 memory: 6332 grad_norm: 4.2287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5918 loss: 2.5918 2022/08/19 05:23:01 - mmengine - INFO - Epoch(train) [188][1600/3757] lr: 1.6879e-02 eta: 21:05:18 time: 0.2855 data_time: 0.0162 memory: 6332 grad_norm: 4.4406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4282 loss: 2.4282 2022/08/19 05:23:30 - mmengine - INFO - Epoch(train) [188][1700/3757] lr: 1.6879e-02 eta: 21:04:47 time: 0.2916 data_time: 0.0167 memory: 6332 grad_norm: 4.1588 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3049 loss: 2.3049 2022/08/19 05:23:59 - mmengine - INFO - Epoch(train) [188][1800/3757] lr: 1.6879e-02 eta: 21:04:15 time: 0.2859 data_time: 0.0169 memory: 6332 grad_norm: 4.1482 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3324 loss: 2.3324 2022/08/19 05:24:28 - mmengine - INFO - Epoch(train) [188][1900/3757] lr: 1.6879e-02 eta: 21:03:45 time: 0.2965 data_time: 0.0192 memory: 6332 grad_norm: 4.3164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/08/19 05:24:57 - mmengine - INFO - Epoch(train) [188][2000/3757] lr: 1.6879e-02 eta: 21:03:13 time: 0.2860 data_time: 0.0170 memory: 6332 grad_norm: 4.2237 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4738 loss: 2.4738 2022/08/19 05:25:27 - mmengine - INFO - Epoch(train) [188][2100/3757] lr: 1.6879e-02 eta: 21:02:44 time: 0.2869 data_time: 0.0171 memory: 6332 grad_norm: 4.2643 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3480 loss: 2.3480 2022/08/19 05:25:56 - mmengine - INFO - Epoch(train) [188][2200/3757] lr: 1.6879e-02 eta: 21:02:13 time: 0.2864 data_time: 0.0169 memory: 6332 grad_norm: 4.1963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0231 loss: 2.0231 2022/08/19 05:26:25 - mmengine - INFO - Epoch(train) [188][2300/3757] lr: 1.6879e-02 eta: 21:01:42 time: 0.2855 data_time: 0.0174 memory: 6332 grad_norm: 4.2021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0844 loss: 2.0844 2022/08/19 05:26:55 - mmengine - INFO - Epoch(train) [188][2400/3757] lr: 1.6879e-02 eta: 21:01:12 time: 0.2864 data_time: 0.0205 memory: 6332 grad_norm: 4.2214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0424 loss: 2.0424 2022/08/19 05:27:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:27:24 - mmengine - INFO - Epoch(train) [188][2500/3757] lr: 1.6879e-02 eta: 21:00:41 time: 0.2838 data_time: 0.0158 memory: 6332 grad_norm: 4.2542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4551 loss: 2.4551 2022/08/19 05:27:53 - mmengine - INFO - Epoch(train) [188][2600/3757] lr: 1.6879e-02 eta: 21:00:11 time: 0.2839 data_time: 0.0171 memory: 6332 grad_norm: 4.2434 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4101 loss: 2.4101 2022/08/19 05:28:23 - mmengine - INFO - Epoch(train) [188][2700/3757] lr: 1.6879e-02 eta: 20:59:41 time: 0.2940 data_time: 0.0180 memory: 6332 grad_norm: 4.2920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0910 loss: 2.0910 2022/08/19 05:28:52 - mmengine - INFO - Epoch(train) [188][2800/3757] lr: 1.6879e-02 eta: 20:59:12 time: 0.2887 data_time: 0.0191 memory: 6332 grad_norm: 4.3378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3948 loss: 2.3948 2022/08/19 05:29:22 - mmengine - INFO - Epoch(train) [188][2900/3757] lr: 1.6879e-02 eta: 20:58:42 time: 0.2988 data_time: 0.0179 memory: 6332 grad_norm: 4.3113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2614 loss: 2.2614 2022/08/19 05:29:51 - mmengine - INFO - Epoch(train) [188][3000/3757] lr: 1.6879e-02 eta: 20:58:11 time: 0.2863 data_time: 0.0162 memory: 6332 grad_norm: 4.1450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0939 loss: 2.0939 2022/08/19 05:30:21 - mmengine - INFO - Epoch(train) [188][3100/3757] lr: 1.6879e-02 eta: 20:57:41 time: 0.2940 data_time: 0.0179 memory: 6332 grad_norm: 4.0535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0452 loss: 2.0452 2022/08/19 05:30:50 - mmengine - INFO - Epoch(train) [188][3200/3757] lr: 1.6879e-02 eta: 20:57:10 time: 0.2910 data_time: 0.0177 memory: 6332 grad_norm: 4.3306 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5137 loss: 2.5137 2022/08/19 05:31:20 - mmengine - INFO - Epoch(train) [188][3300/3757] lr: 1.6879e-02 eta: 20:56:41 time: 0.3315 data_time: 0.0197 memory: 6332 grad_norm: 4.2590 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2802 loss: 2.2802 2022/08/19 05:31:49 - mmengine - INFO - Epoch(train) [188][3400/3757] lr: 1.6879e-02 eta: 20:56:10 time: 0.2881 data_time: 0.0176 memory: 6332 grad_norm: 4.1887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6127 loss: 2.6127 2022/08/19 05:32:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:32:18 - mmengine - INFO - Epoch(train) [188][3500/3757] lr: 1.6879e-02 eta: 20:55:39 time: 0.2873 data_time: 0.0170 memory: 6332 grad_norm: 4.3437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1434 loss: 2.1434 2022/08/19 05:32:47 - mmengine - INFO - Epoch(train) [188][3600/3757] lr: 1.6879e-02 eta: 20:55:09 time: 0.2846 data_time: 0.0169 memory: 6332 grad_norm: 4.2320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3783 loss: 2.3783 2022/08/19 05:33:16 - mmengine - INFO - Epoch(train) [188][3700/3757] lr: 1.6879e-02 eta: 20:54:38 time: 0.2860 data_time: 0.0179 memory: 6332 grad_norm: 4.2826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4341 loss: 2.4341 2022/08/19 05:33:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:33:33 - mmengine - INFO - Epoch(train) [188][3757/3757] lr: 1.6879e-02 eta: 20:54:26 time: 0.2683 data_time: 0.0152 memory: 6332 grad_norm: 4.1960 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2641 loss: 2.2641 2022/08/19 05:33:33 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/19 05:34:07 - mmengine - INFO - Epoch(train) [189][100/3757] lr: 1.6422e-02 eta: 20:53:38 time: 0.2862 data_time: 0.0176 memory: 6332 grad_norm: 4.3984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3907 loss: 2.3907 2022/08/19 05:34:36 - mmengine - INFO - Epoch(train) [189][200/3757] lr: 1.6422e-02 eta: 20:53:08 time: 0.2862 data_time: 0.0161 memory: 6332 grad_norm: 4.2614 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2834 loss: 2.2834 2022/08/19 05:35:07 - mmengine - INFO - Epoch(train) [189][300/3757] lr: 1.6422e-02 eta: 20:52:39 time: 0.2844 data_time: 0.0170 memory: 6332 grad_norm: 4.2251 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5398 loss: 2.5398 2022/08/19 05:35:39 - mmengine - INFO - Epoch(train) [189][400/3757] lr: 1.6422e-02 eta: 20:52:18 time: 0.2890 data_time: 0.0216 memory: 6332 grad_norm: 4.3226 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4405 loss: 2.4405 2022/08/19 05:36:19 - mmengine - INFO - Epoch(train) [189][500/3757] lr: 1.6422e-02 eta: 20:52:17 time: 0.5502 data_time: 0.0189 memory: 6332 grad_norm: 4.4437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3751 loss: 2.3751 2022/08/19 05:36:48 - mmengine - INFO - Epoch(train) [189][600/3757] lr: 1.6422e-02 eta: 20:51:46 time: 0.2852 data_time: 0.0155 memory: 6332 grad_norm: 4.2815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4829 loss: 2.4829 2022/08/19 05:37:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:37:17 - mmengine - INFO - Epoch(train) [189][700/3757] lr: 1.6422e-02 eta: 20:51:15 time: 0.2865 data_time: 0.0172 memory: 6332 grad_norm: 4.1120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0626 loss: 2.0626 2022/08/19 05:37:46 - mmengine - INFO - Epoch(train) [189][800/3757] lr: 1.6422e-02 eta: 20:50:44 time: 0.2865 data_time: 0.0170 memory: 6332 grad_norm: 4.2164 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1422 loss: 2.1422 2022/08/19 05:38:16 - mmengine - INFO - Epoch(train) [189][900/3757] lr: 1.6422e-02 eta: 20:50:14 time: 0.2862 data_time: 0.0164 memory: 6332 grad_norm: 4.2681 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1440 loss: 2.1440 2022/08/19 05:38:45 - mmengine - INFO - Epoch(train) [189][1000/3757] lr: 1.6422e-02 eta: 20:49:43 time: 0.2892 data_time: 0.0178 memory: 6332 grad_norm: 4.4133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1308 loss: 2.1308 2022/08/19 05:39:14 - mmengine - INFO - Epoch(train) [189][1100/3757] lr: 1.6422e-02 eta: 20:49:12 time: 0.2888 data_time: 0.0175 memory: 6332 grad_norm: 4.1366 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2542 loss: 2.2542 2022/08/19 05:39:43 - mmengine - INFO - Epoch(train) [189][1200/3757] lr: 1.6422e-02 eta: 20:48:40 time: 0.2857 data_time: 0.0171 memory: 6332 grad_norm: 4.2025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0630 loss: 2.0630 2022/08/19 05:40:12 - mmengine - INFO - Epoch(train) [189][1300/3757] lr: 1.6422e-02 eta: 20:48:09 time: 0.2914 data_time: 0.0183 memory: 6332 grad_norm: 4.2705 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5007 loss: 2.5007 2022/08/19 05:40:41 - mmengine - INFO - Epoch(train) [189][1400/3757] lr: 1.6422e-02 eta: 20:47:39 time: 0.2900 data_time: 0.0183 memory: 6332 grad_norm: 4.3206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1775 loss: 2.1775 2022/08/19 05:41:10 - mmengine - INFO - Epoch(train) [189][1500/3757] lr: 1.6422e-02 eta: 20:47:07 time: 0.2855 data_time: 0.0176 memory: 6332 grad_norm: 4.3605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/08/19 05:41:39 - mmengine - INFO - Epoch(train) [189][1600/3757] lr: 1.6422e-02 eta: 20:46:37 time: 0.2943 data_time: 0.0173 memory: 6332 grad_norm: 4.4024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2866 loss: 2.2866 2022/08/19 05:42:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:42:08 - mmengine - INFO - Epoch(train) [189][1700/3757] lr: 1.6422e-02 eta: 20:46:05 time: 0.2865 data_time: 0.0176 memory: 6332 grad_norm: 4.2824 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5106 loss: 2.5106 2022/08/19 05:42:38 - mmengine - INFO - Epoch(train) [189][1800/3757] lr: 1.6422e-02 eta: 20:45:35 time: 0.2859 data_time: 0.0171 memory: 6332 grad_norm: 4.2815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4918 loss: 2.4918 2022/08/19 05:43:07 - mmengine - INFO - Epoch(train) [189][1900/3757] lr: 1.6422e-02 eta: 20:45:06 time: 0.2856 data_time: 0.0167 memory: 6332 grad_norm: 4.3390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2305 loss: 2.2305 2022/08/19 05:43:37 - mmengine - INFO - Epoch(train) [189][2000/3757] lr: 1.6422e-02 eta: 20:44:35 time: 0.2846 data_time: 0.0169 memory: 6332 grad_norm: 4.2507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/08/19 05:44:06 - mmengine - INFO - Epoch(train) [189][2100/3757] lr: 1.6422e-02 eta: 20:44:04 time: 0.2860 data_time: 0.0170 memory: 6332 grad_norm: 4.2443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4469 loss: 2.4469 2022/08/19 05:44:35 - mmengine - INFO - Epoch(train) [189][2200/3757] lr: 1.6422e-02 eta: 20:43:33 time: 0.2906 data_time: 0.0183 memory: 6332 grad_norm: 4.1757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2023 loss: 2.2023 2022/08/19 05:45:04 - mmengine - INFO - Epoch(train) [189][2300/3757] lr: 1.6422e-02 eta: 20:43:02 time: 0.2874 data_time: 0.0170 memory: 6332 grad_norm: 4.2213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3348 loss: 2.3348 2022/08/19 05:45:33 - mmengine - INFO - Epoch(train) [189][2400/3757] lr: 1.6422e-02 eta: 20:42:31 time: 0.2943 data_time: 0.0179 memory: 6332 grad_norm: 4.3217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5029 loss: 2.5029 2022/08/19 05:46:02 - mmengine - INFO - Epoch(train) [189][2500/3757] lr: 1.6422e-02 eta: 20:42:01 time: 0.2849 data_time: 0.0168 memory: 6332 grad_norm: 4.3065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1440 loss: 2.1440 2022/08/19 05:46:31 - mmengine - INFO - Epoch(train) [189][2600/3757] lr: 1.6422e-02 eta: 20:41:30 time: 0.2905 data_time: 0.0186 memory: 6332 grad_norm: 4.4055 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3258 loss: 2.3258 2022/08/19 05:46:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:47:01 - mmengine - INFO - Epoch(train) [189][2700/3757] lr: 1.6422e-02 eta: 20:41:00 time: 0.2927 data_time: 0.0187 memory: 6332 grad_norm: 4.2503 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/08/19 05:47:30 - mmengine - INFO - Epoch(train) [189][2800/3757] lr: 1.6422e-02 eta: 20:40:28 time: 0.2885 data_time: 0.0165 memory: 6332 grad_norm: 4.3249 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9385 loss: 1.9385 2022/08/19 05:47:59 - mmengine - INFO - Epoch(train) [189][2900/3757] lr: 1.6422e-02 eta: 20:39:57 time: 0.2874 data_time: 0.0175 memory: 6332 grad_norm: 4.3065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1645 loss: 2.1645 2022/08/19 05:48:28 - mmengine - INFO - Epoch(train) [189][3000/3757] lr: 1.6422e-02 eta: 20:39:27 time: 0.2846 data_time: 0.0173 memory: 6332 grad_norm: 4.3347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1471 loss: 2.1471 2022/08/19 05:48:57 - mmengine - INFO - Epoch(train) [189][3100/3757] lr: 1.6422e-02 eta: 20:38:56 time: 0.2861 data_time: 0.0167 memory: 6332 grad_norm: 4.1327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2010 loss: 2.2010 2022/08/19 05:49:26 - mmengine - INFO - Epoch(train) [189][3200/3757] lr: 1.6422e-02 eta: 20:38:25 time: 0.2871 data_time: 0.0175 memory: 6332 grad_norm: 4.1999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1863 loss: 2.1863 2022/08/19 05:49:56 - mmengine - INFO - Epoch(train) [189][3300/3757] lr: 1.6422e-02 eta: 20:37:56 time: 0.2868 data_time: 0.0174 memory: 6332 grad_norm: 4.5069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4751 loss: 2.4751 2022/08/19 05:50:25 - mmengine - INFO - Epoch(train) [189][3400/3757] lr: 1.6422e-02 eta: 20:37:25 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 4.2940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2356 loss: 2.2356 2022/08/19 05:50:54 - mmengine - INFO - Epoch(train) [189][3500/3757] lr: 1.6422e-02 eta: 20:36:54 time: 0.2879 data_time: 0.0174 memory: 6332 grad_norm: 4.1420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2069 loss: 2.2069 2022/08/19 05:51:23 - mmengine - INFO - Epoch(train) [189][3600/3757] lr: 1.6422e-02 eta: 20:36:24 time: 0.3018 data_time: 0.0178 memory: 6332 grad_norm: 4.2409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1552 loss: 2.1552 2022/08/19 05:51:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:51:53 - mmengine - INFO - Epoch(train) [189][3700/3757] lr: 1.6422e-02 eta: 20:35:53 time: 0.2889 data_time: 0.0184 memory: 6332 grad_norm: 4.3038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5681 loss: 2.5681 2022/08/19 05:52:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:52:09 - mmengine - INFO - Epoch(train) [189][3757/3757] lr: 1.6422e-02 eta: 20:35:41 time: 0.2676 data_time: 0.0155 memory: 6332 grad_norm: 4.3011 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1697 loss: 2.1697 2022/08/19 05:52:41 - mmengine - INFO - Epoch(train) [190][100/3757] lr: 1.5970e-02 eta: 20:34:59 time: 0.2869 data_time: 0.0177 memory: 6332 grad_norm: 4.2494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3177 loss: 2.3177 2022/08/19 05:53:10 - mmengine - INFO - Epoch(train) [190][200/3757] lr: 1.5970e-02 eta: 20:34:28 time: 0.2894 data_time: 0.0184 memory: 6332 grad_norm: 4.2458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3042 loss: 2.3042 2022/08/19 05:53:39 - mmengine - INFO - Epoch(train) [190][300/3757] lr: 1.5970e-02 eta: 20:33:57 time: 0.2868 data_time: 0.0166 memory: 6332 grad_norm: 4.3435 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4452 loss: 2.4452 2022/08/19 05:54:08 - mmengine - INFO - Epoch(train) [190][400/3757] lr: 1.5970e-02 eta: 20:33:27 time: 0.2859 data_time: 0.0175 memory: 6332 grad_norm: 4.2910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1871 loss: 2.1871 2022/08/19 05:54:38 - mmengine - INFO - Epoch(train) [190][500/3757] lr: 1.5970e-02 eta: 20:32:57 time: 0.2861 data_time: 0.0176 memory: 6332 grad_norm: 4.2398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1928 loss: 2.1928 2022/08/19 05:55:07 - mmengine - INFO - Epoch(train) [190][600/3757] lr: 1.5970e-02 eta: 20:32:26 time: 0.2872 data_time: 0.0173 memory: 6332 grad_norm: 4.3480 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2657 loss: 2.2657 2022/08/19 05:55:36 - mmengine - INFO - Epoch(train) [190][700/3757] lr: 1.5970e-02 eta: 20:31:56 time: 0.2874 data_time: 0.0197 memory: 6332 grad_norm: 4.3942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3285 loss: 2.3285 2022/08/19 05:56:05 - mmengine - INFO - Epoch(train) [190][800/3757] lr: 1.5970e-02 eta: 20:31:25 time: 0.2868 data_time: 0.0161 memory: 6332 grad_norm: 4.2805 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0792 loss: 2.0792 2022/08/19 05:56:35 - mmengine - INFO - Epoch(train) [190][900/3757] lr: 1.5970e-02 eta: 20:30:54 time: 0.2921 data_time: 0.0179 memory: 6332 grad_norm: 4.2863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/08/19 05:56:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 05:57:04 - mmengine - INFO - Epoch(train) [190][1000/3757] lr: 1.5970e-02 eta: 20:30:23 time: 0.2885 data_time: 0.0168 memory: 6332 grad_norm: 4.2383 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2089 loss: 2.2089 2022/08/19 05:57:33 - mmengine - INFO - Epoch(train) [190][1100/3757] lr: 1.5970e-02 eta: 20:29:52 time: 0.2966 data_time: 0.0196 memory: 6332 grad_norm: 4.2685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4526 loss: 2.4526 2022/08/19 05:58:02 - mmengine - INFO - Epoch(train) [190][1200/3757] lr: 1.5970e-02 eta: 20:29:22 time: 0.2890 data_time: 0.0172 memory: 6332 grad_norm: 4.2046 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4449 loss: 2.4449 2022/08/19 05:58:31 - mmengine - INFO - Epoch(train) [190][1300/3757] lr: 1.5970e-02 eta: 20:28:51 time: 0.2907 data_time: 0.0184 memory: 6332 grad_norm: 4.3498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9287 loss: 1.9287 2022/08/19 05:59:00 - mmengine - INFO - Epoch(train) [190][1400/3757] lr: 1.5970e-02 eta: 20:28:20 time: 0.2872 data_time: 0.0167 memory: 6332 grad_norm: 4.3690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2718 loss: 2.2718 2022/08/19 05:59:29 - mmengine - INFO - Epoch(train) [190][1500/3757] lr: 1.5970e-02 eta: 20:27:49 time: 0.2860 data_time: 0.0166 memory: 6332 grad_norm: 4.5046 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/08/19 05:59:59 - mmengine - INFO - Epoch(train) [190][1600/3757] lr: 1.5970e-02 eta: 20:27:20 time: 0.2861 data_time: 0.0169 memory: 6332 grad_norm: 4.3122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0708 loss: 2.0708 2022/08/19 06:00:31 - mmengine - INFO - Epoch(train) [190][1700/3757] lr: 1.5970e-02 eta: 20:26:56 time: 0.2865 data_time: 0.0167 memory: 6332 grad_norm: 4.1722 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0951 loss: 2.0951 2022/08/19 06:01:00 - mmengine - INFO - Epoch(train) [190][1800/3757] lr: 1.5970e-02 eta: 20:26:25 time: 0.2853 data_time: 0.0166 memory: 6332 grad_norm: 4.2828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3158 loss: 2.3158 2022/08/19 06:01:29 - mmengine - INFO - Epoch(train) [190][1900/3757] lr: 1.5970e-02 eta: 20:25:54 time: 0.2862 data_time: 0.0173 memory: 6332 grad_norm: 4.2606 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2987 loss: 2.2987 2022/08/19 06:01:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:01:58 - mmengine - INFO - Epoch(train) [190][2000/3757] lr: 1.5970e-02 eta: 20:25:24 time: 0.2861 data_time: 0.0164 memory: 6332 grad_norm: 4.1955 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5531 loss: 2.5531 2022/08/19 06:02:27 - mmengine - INFO - Epoch(train) [190][2100/3757] lr: 1.5970e-02 eta: 20:24:52 time: 0.2855 data_time: 0.0166 memory: 6332 grad_norm: 4.3842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2345 loss: 2.2345 2022/08/19 06:02:56 - mmengine - INFO - Epoch(train) [190][2200/3757] lr: 1.5970e-02 eta: 20:24:22 time: 0.2924 data_time: 0.0187 memory: 6332 grad_norm: 4.3524 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4496 loss: 2.4496 2022/08/19 06:03:25 - mmengine - INFO - Epoch(train) [190][2300/3757] lr: 1.5970e-02 eta: 20:23:51 time: 0.2867 data_time: 0.0171 memory: 6332 grad_norm: 4.2588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6233 loss: 2.6233 2022/08/19 06:03:54 - mmengine - INFO - Epoch(train) [190][2400/3757] lr: 1.5970e-02 eta: 20:23:20 time: 0.2919 data_time: 0.0200 memory: 6332 grad_norm: 4.2102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2153 loss: 2.2153 2022/08/19 06:04:23 - mmengine - INFO - Epoch(train) [190][2500/3757] lr: 1.5970e-02 eta: 20:22:49 time: 0.2880 data_time: 0.0168 memory: 6332 grad_norm: 4.3546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1595 loss: 2.1595 2022/08/19 06:04:53 - mmengine - INFO - Epoch(train) [190][2600/3757] lr: 1.5970e-02 eta: 20:22:19 time: 0.2962 data_time: 0.0184 memory: 6332 grad_norm: 4.3350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2033 loss: 2.2033 2022/08/19 06:05:22 - mmengine - INFO - Epoch(train) [190][2700/3757] lr: 1.5970e-02 eta: 20:21:48 time: 0.2857 data_time: 0.0168 memory: 6332 grad_norm: 4.2269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1714 loss: 2.1714 2022/08/19 06:05:52 - mmengine - INFO - Epoch(train) [190][2800/3757] lr: 1.5970e-02 eta: 20:21:19 time: 0.2996 data_time: 0.0182 memory: 6332 grad_norm: 4.4501 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0547 loss: 2.0547 2022/08/19 06:06:21 - mmengine - INFO - Epoch(train) [190][2900/3757] lr: 1.5970e-02 eta: 20:20:48 time: 0.2848 data_time: 0.0183 memory: 6332 grad_norm: 4.3453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4181 loss: 2.4181 2022/08/19 06:06:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:06:50 - mmengine - INFO - Epoch(train) [190][3000/3757] lr: 1.5970e-02 eta: 20:20:17 time: 0.2860 data_time: 0.0166 memory: 6332 grad_norm: 4.2550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5317 loss: 2.5317 2022/08/19 06:07:19 - mmengine - INFO - Epoch(train) [190][3100/3757] lr: 1.5970e-02 eta: 20:19:47 time: 0.2865 data_time: 0.0172 memory: 6332 grad_norm: 4.2365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2787 loss: 2.2787 2022/08/19 06:07:48 - mmengine - INFO - Epoch(train) [190][3200/3757] lr: 1.5970e-02 eta: 20:19:16 time: 0.2860 data_time: 0.0169 memory: 6332 grad_norm: 4.2609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5437 loss: 2.5437 2022/08/19 06:08:17 - mmengine - INFO - Epoch(train) [190][3300/3757] lr: 1.5970e-02 eta: 20:18:45 time: 0.2862 data_time: 0.0170 memory: 6332 grad_norm: 4.2517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2589 loss: 2.2589 2022/08/19 06:08:46 - mmengine - INFO - Epoch(train) [190][3400/3757] lr: 1.5970e-02 eta: 20:18:15 time: 0.2948 data_time: 0.0190 memory: 6332 grad_norm: 4.3030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5949 loss: 2.5949 2022/08/19 06:09:16 - mmengine - INFO - Epoch(train) [190][3500/3757] lr: 1.5970e-02 eta: 20:17:45 time: 0.3042 data_time: 0.0172 memory: 6332 grad_norm: 4.3805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2622 loss: 2.2622 2022/08/19 06:09:45 - mmengine - INFO - Epoch(train) [190][3600/3757] lr: 1.5970e-02 eta: 20:17:15 time: 0.2911 data_time: 0.0177 memory: 6332 grad_norm: 4.2111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5916 loss: 2.5916 2022/08/19 06:10:15 - mmengine - INFO - Epoch(train) [190][3700/3757] lr: 1.5970e-02 eta: 20:16:44 time: 0.2861 data_time: 0.0171 memory: 6332 grad_norm: 4.2505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3420 loss: 2.3420 2022/08/19 06:10:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:10:31 - mmengine - INFO - Epoch(train) [190][3757/3757] lr: 1.5970e-02 eta: 20:16:33 time: 0.2674 data_time: 0.0152 memory: 6332 grad_norm: 4.3568 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.3893 loss: 2.3893 2022/08/19 06:10:53 - mmengine - INFO - Epoch(val) [190][100/310] eta: 0:00:50 time: 0.2383 data_time: 0.1401 memory: 1147 2022/08/19 06:11:13 - mmengine - INFO - Epoch(val) [190][200/310] eta: 0:00:20 time: 0.1890 data_time: 0.0874 memory: 1147 2022/08/19 06:11:34 - mmengine - INFO - Epoch(val) [190][300/310] eta: 0:00:02 time: 0.2038 data_time: 0.1116 memory: 1147 2022/08/19 06:11:38 - mmengine - INFO - Epoch(val) [190][310/310] acc/top1: 0.5460 acc/top5: 0.7952 acc/mean1: 0.5459 2022/08/19 06:11:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_186.pth is removed 2022/08/19 06:11:41 - mmengine - INFO - The best checkpoint with 0.5460 acc/top1 at 191 epoch is saved to best_acc/top1_epoch_191.pth. 2022/08/19 06:12:11 - mmengine - INFO - Epoch(train) [191][100/3757] lr: 1.5523e-02 eta: 20:15:46 time: 0.2861 data_time: 0.0161 memory: 6332 grad_norm: 4.3176 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3725 loss: 2.3725 2022/08/19 06:12:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:12:40 - mmengine - INFO - Epoch(train) [191][200/3757] lr: 1.5523e-02 eta: 20:15:15 time: 0.2855 data_time: 0.0164 memory: 6332 grad_norm: 4.2803 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1855 loss: 2.1855 2022/08/19 06:13:12 - mmengine - INFO - Epoch(train) [191][300/3757] lr: 1.5523e-02 eta: 20:14:51 time: 0.4076 data_time: 0.0444 memory: 6332 grad_norm: 4.3112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3907 loss: 2.3907 2022/08/19 06:13:41 - mmengine - INFO - Epoch(train) [191][400/3757] lr: 1.5523e-02 eta: 20:14:21 time: 0.2863 data_time: 0.0169 memory: 6332 grad_norm: 4.2739 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2933 loss: 2.2933 2022/08/19 06:14:10 - mmengine - INFO - Epoch(train) [191][500/3757] lr: 1.5523e-02 eta: 20:13:51 time: 0.2875 data_time: 0.0183 memory: 6332 grad_norm: 4.3351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2005 loss: 2.2005 2022/08/19 06:14:39 - mmengine - INFO - Epoch(train) [191][600/3757] lr: 1.5523e-02 eta: 20:13:20 time: 0.2871 data_time: 0.0181 memory: 6332 grad_norm: 4.3422 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4254 loss: 2.4254 2022/08/19 06:15:11 - mmengine - INFO - Epoch(train) [191][700/3757] lr: 1.5523e-02 eta: 20:12:56 time: 0.3064 data_time: 0.0200 memory: 6332 grad_norm: 4.2946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9784 loss: 1.9784 2022/08/19 06:15:41 - mmengine - INFO - Epoch(train) [191][800/3757] lr: 1.5523e-02 eta: 20:12:28 time: 0.2863 data_time: 0.0177 memory: 6332 grad_norm: 4.3227 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9102 loss: 1.9102 2022/08/19 06:16:13 - mmengine - INFO - Epoch(train) [191][900/3757] lr: 1.5523e-02 eta: 20:12:04 time: 0.2905 data_time: 0.0167 memory: 6332 grad_norm: 4.1925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1259 loss: 2.1259 2022/08/19 06:16:43 - mmengine - INFO - Epoch(train) [191][1000/3757] lr: 1.5523e-02 eta: 20:11:36 time: 0.3182 data_time: 0.0174 memory: 6332 grad_norm: 4.4332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3724 loss: 2.3724 2022/08/19 06:17:13 - mmengine - INFO - Epoch(train) [191][1100/3757] lr: 1.5523e-02 eta: 20:11:06 time: 0.2855 data_time: 0.0174 memory: 6332 grad_norm: 4.4467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3161 loss: 2.3161 2022/08/19 06:17:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:17:42 - mmengine - INFO - Epoch(train) [191][1200/3757] lr: 1.5523e-02 eta: 20:10:35 time: 0.2851 data_time: 0.0169 memory: 6332 grad_norm: 4.4842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3025 loss: 2.3025 2022/08/19 06:18:11 - mmengine - INFO - Epoch(train) [191][1300/3757] lr: 1.5523e-02 eta: 20:10:05 time: 0.2864 data_time: 0.0175 memory: 6332 grad_norm: 4.4154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3505 loss: 2.3505 2022/08/19 06:18:40 - mmengine - INFO - Epoch(train) [191][1400/3757] lr: 1.5523e-02 eta: 20:09:34 time: 0.2874 data_time: 0.0186 memory: 6332 grad_norm: 4.3958 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4487 loss: 2.4487 2022/08/19 06:19:09 - mmengine - INFO - Epoch(train) [191][1500/3757] lr: 1.5523e-02 eta: 20:09:04 time: 0.2848 data_time: 0.0175 memory: 6332 grad_norm: 4.3489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1521 loss: 2.1521 2022/08/19 06:19:41 - mmengine - INFO - Epoch(train) [191][1600/3757] lr: 1.5523e-02 eta: 20:08:41 time: 0.4484 data_time: 0.0179 memory: 6332 grad_norm: 4.5027 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3038 loss: 2.3038 2022/08/19 06:20:11 - mmengine - INFO - Epoch(train) [191][1700/3757] lr: 1.5523e-02 eta: 20:08:12 time: 0.3112 data_time: 0.0182 memory: 6332 grad_norm: 4.3525 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2846 loss: 2.2846 2022/08/19 06:20:44 - mmengine - INFO - Epoch(train) [191][1800/3757] lr: 1.5523e-02 eta: 20:07:51 time: 0.3318 data_time: 0.0182 memory: 6332 grad_norm: 4.4255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3728 loss: 2.3728 2022/08/19 06:21:21 - mmengine - INFO - Epoch(train) [191][1900/3757] lr: 1.5523e-02 eta: 20:07:38 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 4.3782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4759 loss: 2.4759 2022/08/19 06:21:50 - mmengine - INFO - Epoch(train) [191][2000/3757] lr: 1.5523e-02 eta: 20:07:07 time: 0.2861 data_time: 0.0180 memory: 6332 grad_norm: 4.2675 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1962 loss: 2.1962 2022/08/19 06:22:19 - mmengine - INFO - Epoch(train) [191][2100/3757] lr: 1.5523e-02 eta: 20:06:36 time: 0.2878 data_time: 0.0172 memory: 6332 grad_norm: 4.1983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2283 loss: 2.2283 2022/08/19 06:22:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:22:47 - mmengine - INFO - Epoch(train) [191][2200/3757] lr: 1.5523e-02 eta: 20:06:04 time: 0.2881 data_time: 0.0178 memory: 6332 grad_norm: 4.2566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2201 loss: 2.2201 2022/08/19 06:23:16 - mmengine - INFO - Epoch(train) [191][2300/3757] lr: 1.5523e-02 eta: 20:05:33 time: 0.2872 data_time: 0.0173 memory: 6332 grad_norm: 4.4221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3556 loss: 2.3556 2022/08/19 06:23:46 - mmengine - INFO - Epoch(train) [191][2400/3757] lr: 1.5523e-02 eta: 20:05:02 time: 0.2901 data_time: 0.0178 memory: 6332 grad_norm: 4.2503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2232 loss: 2.2232 2022/08/19 06:24:17 - mmengine - INFO - Epoch(train) [191][2500/3757] lr: 1.5523e-02 eta: 20:04:37 time: 0.3699 data_time: 0.0168 memory: 6332 grad_norm: 4.4254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2382 loss: 2.2382 2022/08/19 06:24:50 - mmengine - INFO - Epoch(train) [191][2600/3757] lr: 1.5523e-02 eta: 20:04:16 time: 0.3007 data_time: 0.0360 memory: 6332 grad_norm: 4.3541 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3226 loss: 2.3226 2022/08/19 06:25:21 - mmengine - INFO - Epoch(train) [191][2700/3757] lr: 1.5523e-02 eta: 20:03:51 time: 0.2842 data_time: 0.0170 memory: 6332 grad_norm: 4.3860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7365 loss: 2.7365 2022/08/19 06:26:00 - mmengine - INFO - Epoch(train) [191][2800/3757] lr: 1.5523e-02 eta: 20:03:44 time: 0.2870 data_time: 0.0177 memory: 6332 grad_norm: 4.3798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3461 loss: 2.3461 2022/08/19 06:26:29 - mmengine - INFO - Epoch(train) [191][2900/3757] lr: 1.5523e-02 eta: 20:03:14 time: 0.2857 data_time: 0.0189 memory: 6332 grad_norm: 4.4625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3486 loss: 2.3486 2022/08/19 06:26:59 - mmengine - INFO - Epoch(train) [191][3000/3757] lr: 1.5523e-02 eta: 20:02:43 time: 0.2962 data_time: 0.0179 memory: 6332 grad_norm: 4.1804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3080 loss: 2.3080 2022/08/19 06:27:28 - mmengine - INFO - Epoch(train) [191][3100/3757] lr: 1.5523e-02 eta: 20:02:12 time: 0.2885 data_time: 0.0185 memory: 6332 grad_norm: 4.2735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4484 loss: 2.4484 2022/08/19 06:27:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:27:57 - mmengine - INFO - Epoch(train) [191][3200/3757] lr: 1.5523e-02 eta: 20:01:41 time: 0.2873 data_time: 0.0177 memory: 6332 grad_norm: 4.3890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1942 loss: 2.1942 2022/08/19 06:28:26 - mmengine - INFO - Epoch(train) [191][3300/3757] lr: 1.5523e-02 eta: 20:01:11 time: 0.2931 data_time: 0.0192 memory: 6332 grad_norm: 4.4035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4036 loss: 2.4036 2022/08/19 06:28:57 - mmengine - INFO - Epoch(train) [191][3400/3757] lr: 1.5523e-02 eta: 20:00:45 time: 0.2879 data_time: 0.0177 memory: 6332 grad_norm: 4.3166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/08/19 06:29:36 - mmengine - INFO - Epoch(train) [191][3500/3757] lr: 1.5523e-02 eta: 20:00:36 time: 0.6695 data_time: 0.0229 memory: 6332 grad_norm: 4.3797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0060 loss: 2.0060 2022/08/19 06:30:10 - mmengine - INFO - Epoch(train) [191][3600/3757] lr: 1.5523e-02 eta: 20:00:19 time: 0.4610 data_time: 0.0234 memory: 6332 grad_norm: 4.5068 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0728 loss: 2.0728 2022/08/19 06:30:39 - mmengine - INFO - Epoch(train) [191][3700/3757] lr: 1.5523e-02 eta: 19:59:48 time: 0.2845 data_time: 0.0173 memory: 6332 grad_norm: 4.3496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4589 loss: 2.4589 2022/08/19 06:30:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:30:56 - mmengine - INFO - Epoch(train) [191][3757/3757] lr: 1.5523e-02 eta: 19:59:36 time: 0.2680 data_time: 0.0157 memory: 6332 grad_norm: 4.4079 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.3047 loss: 2.3047 2022/08/19 06:31:27 - mmengine - INFO - Epoch(train) [192][100/3757] lr: 1.5081e-02 eta: 19:58:53 time: 0.2907 data_time: 0.0176 memory: 6332 grad_norm: 4.2206 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9565 loss: 1.9565 2022/08/19 06:31:56 - mmengine - INFO - Epoch(train) [192][200/3757] lr: 1.5081e-02 eta: 19:58:22 time: 0.2864 data_time: 0.0173 memory: 6332 grad_norm: 4.4544 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5213 loss: 2.5213 2022/08/19 06:32:25 - mmengine - INFO - Epoch(train) [192][300/3757] lr: 1.5081e-02 eta: 19:57:51 time: 0.2934 data_time: 0.0190 memory: 6332 grad_norm: 4.4177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4704 loss: 2.4704 2022/08/19 06:32:54 - mmengine - INFO - Epoch(train) [192][400/3757] lr: 1.5081e-02 eta: 19:57:21 time: 0.2865 data_time: 0.0175 memory: 6332 grad_norm: 4.3015 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1207 loss: 2.1207 2022/08/19 06:32:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:33:28 - mmengine - INFO - Epoch(train) [192][500/3757] lr: 1.5081e-02 eta: 19:57:02 time: 0.3452 data_time: 0.0182 memory: 6332 grad_norm: 4.4520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5131 loss: 2.5131 2022/08/19 06:34:00 - mmengine - INFO - Epoch(train) [192][600/3757] lr: 1.5081e-02 eta: 19:56:37 time: 0.2875 data_time: 0.0179 memory: 6332 grad_norm: 4.1765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1928 loss: 2.1928 2022/08/19 06:34:38 - mmengine - INFO - Epoch(train) [192][700/3757] lr: 1.5081e-02 eta: 19:56:28 time: 0.2876 data_time: 0.0178 memory: 6332 grad_norm: 4.2101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0893 loss: 2.0893 2022/08/19 06:35:07 - mmengine - INFO - Epoch(train) [192][800/3757] lr: 1.5081e-02 eta: 19:55:58 time: 0.2936 data_time: 0.0190 memory: 6332 grad_norm: 4.2892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4173 loss: 2.4173 2022/08/19 06:35:36 - mmengine - INFO - Epoch(train) [192][900/3757] lr: 1.5081e-02 eta: 19:55:27 time: 0.2844 data_time: 0.0160 memory: 6332 grad_norm: 4.4326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1101 loss: 2.1101 2022/08/19 06:36:06 - mmengine - INFO - Epoch(train) [192][1000/3757] lr: 1.5081e-02 eta: 19:54:57 time: 0.3032 data_time: 0.0179 memory: 6332 grad_norm: 4.3382 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2340 loss: 2.2340 2022/08/19 06:36:35 - mmengine - INFO - Epoch(train) [192][1100/3757] lr: 1.5081e-02 eta: 19:54:26 time: 0.2872 data_time: 0.0167 memory: 6332 grad_norm: 4.4562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0743 loss: 2.0743 2022/08/19 06:37:04 - mmengine - INFO - Epoch(train) [192][1200/3757] lr: 1.5081e-02 eta: 19:53:55 time: 0.2849 data_time: 0.0169 memory: 6332 grad_norm: 4.2112 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2604 loss: 2.2604 2022/08/19 06:37:34 - mmengine - INFO - Epoch(train) [192][1300/3757] lr: 1.5081e-02 eta: 19:53:25 time: 0.2874 data_time: 0.0174 memory: 6332 grad_norm: 4.2676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3555 loss: 2.3555 2022/08/19 06:38:15 - mmengine - INFO - Epoch(train) [192][1400/3757] lr: 1.5081e-02 eta: 19:53:23 time: 0.2821 data_time: 0.0165 memory: 6332 grad_norm: 4.6473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5107 loss: 2.5107 2022/08/19 06:38:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:38:54 - mmengine - INFO - Epoch(train) [192][1500/3757] lr: 1.5081e-02 eta: 19:53:15 time: 0.2821 data_time: 0.0169 memory: 6332 grad_norm: 4.4404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4096 loss: 2.4096 2022/08/19 06:39:26 - mmengine - INFO - Epoch(train) [192][1600/3757] lr: 1.5081e-02 eta: 19:52:52 time: 0.2965 data_time: 0.0184 memory: 6332 grad_norm: 4.3087 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1090 loss: 2.1090 2022/08/19 06:39:55 - mmengine - INFO - Epoch(train) [192][1700/3757] lr: 1.5081e-02 eta: 19:52:21 time: 0.2860 data_time: 0.0172 memory: 6332 grad_norm: 4.2143 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1519 loss: 2.1519 2022/08/19 06:40:24 - mmengine - INFO - Epoch(train) [192][1800/3757] lr: 1.5081e-02 eta: 19:51:50 time: 0.2862 data_time: 0.0169 memory: 6332 grad_norm: 4.2824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2122 loss: 2.2122 2022/08/19 06:40:53 - mmengine - INFO - Epoch(train) [192][1900/3757] lr: 1.5081e-02 eta: 19:51:19 time: 0.2855 data_time: 0.0167 memory: 6332 grad_norm: 4.3021 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2250 loss: 2.2250 2022/08/19 06:41:22 - mmengine - INFO - Epoch(train) [192][2000/3757] lr: 1.5081e-02 eta: 19:50:48 time: 0.2849 data_time: 0.0170 memory: 6332 grad_norm: 4.5402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2158 loss: 2.2158 2022/08/19 06:41:52 - mmengine - INFO - Epoch(train) [192][2100/3757] lr: 1.5081e-02 eta: 19:50:18 time: 0.2849 data_time: 0.0175 memory: 6332 grad_norm: 4.3728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/08/19 06:42:21 - mmengine - INFO - Epoch(train) [192][2200/3757] lr: 1.5081e-02 eta: 19:49:48 time: 0.2862 data_time: 0.0166 memory: 6332 grad_norm: 4.4381 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1190 loss: 2.1190 2022/08/19 06:42:50 - mmengine - INFO - Epoch(train) [192][2300/3757] lr: 1.5081e-02 eta: 19:49:17 time: 0.2876 data_time: 0.0189 memory: 6332 grad_norm: 4.4523 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0863 loss: 2.0863 2022/08/19 06:43:19 - mmengine - INFO - Epoch(train) [192][2400/3757] lr: 1.5081e-02 eta: 19:48:46 time: 0.2895 data_time: 0.0196 memory: 6332 grad_norm: 4.2981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4373 loss: 2.4373 2022/08/19 06:43:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:43:49 - mmengine - INFO - Epoch(train) [192][2500/3757] lr: 1.5081e-02 eta: 19:48:15 time: 0.2900 data_time: 0.0175 memory: 6332 grad_norm: 4.3984 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0557 loss: 2.0557 2022/08/19 06:44:18 - mmengine - INFO - Epoch(train) [192][2600/3757] lr: 1.5081e-02 eta: 19:47:44 time: 0.2952 data_time: 0.0183 memory: 6332 grad_norm: 4.3308 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4804 loss: 2.4804 2022/08/19 06:44:47 - mmengine - INFO - Epoch(train) [192][2700/3757] lr: 1.5081e-02 eta: 19:47:14 time: 0.2927 data_time: 0.0171 memory: 6332 grad_norm: 4.3340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3519 loss: 2.3519 2022/08/19 06:45:16 - mmengine - INFO - Epoch(train) [192][2800/3757] lr: 1.5081e-02 eta: 19:46:43 time: 0.2881 data_time: 0.0186 memory: 6332 grad_norm: 4.3441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0797 loss: 2.0797 2022/08/19 06:45:45 - mmengine - INFO - Epoch(train) [192][2900/3757] lr: 1.5081e-02 eta: 19:46:12 time: 0.2853 data_time: 0.0174 memory: 6332 grad_norm: 4.5080 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3855 loss: 2.3855 2022/08/19 06:46:20 - mmengine - INFO - Epoch(train) [192][3000/3757] lr: 1.5081e-02 eta: 19:45:54 time: 0.4209 data_time: 0.0345 memory: 6332 grad_norm: 4.2573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4993 loss: 2.4993 2022/08/19 06:46:50 - mmengine - INFO - Epoch(train) [192][3100/3757] lr: 1.5081e-02 eta: 19:45:26 time: 0.3090 data_time: 0.0165 memory: 6332 grad_norm: 4.3790 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3367 loss: 2.3367 2022/08/19 06:47:23 - mmengine - INFO - Epoch(train) [192][3200/3757] lr: 1.5081e-02 eta: 19:45:03 time: 0.2823 data_time: 0.0170 memory: 6332 grad_norm: 4.5092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1836 loss: 2.1836 2022/08/19 06:47:56 - mmengine - INFO - Epoch(train) [192][3300/3757] lr: 1.5081e-02 eta: 19:44:43 time: 0.3132 data_time: 0.0190 memory: 6332 grad_norm: 4.2928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/08/19 06:48:26 - mmengine - INFO - Epoch(train) [192][3400/3757] lr: 1.5081e-02 eta: 19:44:12 time: 0.2862 data_time: 0.0180 memory: 6332 grad_norm: 4.4710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0537 loss: 2.0537 2022/08/19 06:48:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:48:55 - mmengine - INFO - Epoch(train) [192][3500/3757] lr: 1.5081e-02 eta: 19:43:42 time: 0.2859 data_time: 0.0167 memory: 6332 grad_norm: 4.3477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3524 loss: 2.3524 2022/08/19 06:49:24 - mmengine - INFO - Epoch(train) [192][3600/3757] lr: 1.5081e-02 eta: 19:43:11 time: 0.2862 data_time: 0.0183 memory: 6332 grad_norm: 4.2949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/08/19 06:49:53 - mmengine - INFO - Epoch(train) [192][3700/3757] lr: 1.5081e-02 eta: 19:42:41 time: 0.2853 data_time: 0.0172 memory: 6332 grad_norm: 4.3650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2241 loss: 2.2241 2022/08/19 06:50:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:50:10 - mmengine - INFO - Epoch(train) [192][3757/3757] lr: 1.5081e-02 eta: 19:42:28 time: 0.2684 data_time: 0.0149 memory: 6332 grad_norm: 4.3961 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.5547 loss: 2.5547 2022/08/19 06:50:10 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/19 06:50:43 - mmengine - INFO - Epoch(train) [193][100/3757] lr: 1.4645e-02 eta: 19:41:43 time: 0.2865 data_time: 0.0173 memory: 6332 grad_norm: 4.3119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0603 loss: 2.0603 2022/08/19 06:51:13 - mmengine - INFO - Epoch(train) [193][200/3757] lr: 1.4645e-02 eta: 19:41:13 time: 0.2873 data_time: 0.0168 memory: 6332 grad_norm: 4.3400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0276 loss: 2.0276 2022/08/19 06:51:42 - mmengine - INFO - Epoch(train) [193][300/3757] lr: 1.4645e-02 eta: 19:40:43 time: 0.2855 data_time: 0.0165 memory: 6332 grad_norm: 4.4591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0705 loss: 2.0705 2022/08/19 06:52:11 - mmengine - INFO - Epoch(train) [193][400/3757] lr: 1.4645e-02 eta: 19:40:12 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 4.5211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2675 loss: 2.2675 2022/08/19 06:52:41 - mmengine - INFO - Epoch(train) [193][500/3757] lr: 1.4645e-02 eta: 19:39:42 time: 0.3062 data_time: 0.0170 memory: 6332 grad_norm: 4.5247 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.3574 loss: 2.3574 2022/08/19 06:53:10 - mmengine - INFO - Epoch(train) [193][600/3757] lr: 1.4645e-02 eta: 19:39:12 time: 0.2888 data_time: 0.0165 memory: 6332 grad_norm: 4.4792 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3636 loss: 2.3636 2022/08/19 06:53:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:53:39 - mmengine - INFO - Epoch(train) [193][700/3757] lr: 1.4645e-02 eta: 19:38:41 time: 0.2896 data_time: 0.0188 memory: 6332 grad_norm: 4.3458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2305 loss: 2.2305 2022/08/19 06:54:08 - mmengine - INFO - Epoch(train) [193][800/3757] lr: 1.4645e-02 eta: 19:38:10 time: 0.2873 data_time: 0.0176 memory: 6332 grad_norm: 4.4391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5221 loss: 2.5221 2022/08/19 06:54:38 - mmengine - INFO - Epoch(train) [193][900/3757] lr: 1.4645e-02 eta: 19:37:41 time: 0.2876 data_time: 0.0186 memory: 6332 grad_norm: 4.3829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3687 loss: 2.3687 2022/08/19 06:55:07 - mmengine - INFO - Epoch(train) [193][1000/3757] lr: 1.4645e-02 eta: 19:37:10 time: 0.2869 data_time: 0.0170 memory: 6332 grad_norm: 4.4344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2928 loss: 2.2928 2022/08/19 06:55:36 - mmengine - INFO - Epoch(train) [193][1100/3757] lr: 1.4645e-02 eta: 19:36:39 time: 0.2879 data_time: 0.0175 memory: 6332 grad_norm: 4.3968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2054 loss: 2.2054 2022/08/19 06:56:05 - mmengine - INFO - Epoch(train) [193][1200/3757] lr: 1.4645e-02 eta: 19:36:08 time: 0.2848 data_time: 0.0162 memory: 6332 grad_norm: 4.4181 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3884 loss: 2.3884 2022/08/19 06:56:34 - mmengine - INFO - Epoch(train) [193][1300/3757] lr: 1.4645e-02 eta: 19:35:37 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 4.4208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/08/19 06:57:03 - mmengine - INFO - Epoch(train) [193][1400/3757] lr: 1.4645e-02 eta: 19:35:06 time: 0.2883 data_time: 0.0180 memory: 6332 grad_norm: 4.4156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9654 loss: 1.9654 2022/08/19 06:57:32 - mmengine - INFO - Epoch(train) [193][1500/3757] lr: 1.4645e-02 eta: 19:34:35 time: 0.2869 data_time: 0.0178 memory: 6332 grad_norm: 4.4789 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4788 loss: 2.4788 2022/08/19 06:58:01 - mmengine - INFO - Epoch(train) [193][1600/3757] lr: 1.4645e-02 eta: 19:34:04 time: 0.2871 data_time: 0.0175 memory: 6332 grad_norm: 4.5186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3269 loss: 2.3269 2022/08/19 06:58:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 06:58:30 - mmengine - INFO - Epoch(train) [193][1700/3757] lr: 1.4645e-02 eta: 19:33:33 time: 0.2945 data_time: 0.0181 memory: 6332 grad_norm: 4.3436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9650 loss: 1.9650 2022/08/19 06:58:59 - mmengine - INFO - Epoch(train) [193][1800/3757] lr: 1.4645e-02 eta: 19:33:02 time: 0.2907 data_time: 0.0176 memory: 6332 grad_norm: 4.4714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6896 loss: 2.6896 2022/08/19 06:59:29 - mmengine - INFO - Epoch(train) [193][1900/3757] lr: 1.4645e-02 eta: 19:32:32 time: 0.2898 data_time: 0.0179 memory: 6332 grad_norm: 4.4139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0998 loss: 2.0998 2022/08/19 06:59:58 - mmengine - INFO - Epoch(train) [193][2000/3757] lr: 1.4645e-02 eta: 19:32:01 time: 0.2881 data_time: 0.0171 memory: 6332 grad_norm: 4.4894 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2017 loss: 2.2017 2022/08/19 07:00:27 - mmengine - INFO - Epoch(train) [193][2100/3757] lr: 1.4645e-02 eta: 19:31:30 time: 0.2892 data_time: 0.0186 memory: 6332 grad_norm: 4.4984 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3591 loss: 2.3591 2022/08/19 07:00:56 - mmengine - INFO - Epoch(train) [193][2200/3757] lr: 1.4645e-02 eta: 19:30:59 time: 0.2857 data_time: 0.0178 memory: 6332 grad_norm: 4.4532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1762 loss: 2.1762 2022/08/19 07:01:25 - mmengine - INFO - Epoch(train) [193][2300/3757] lr: 1.4645e-02 eta: 19:30:28 time: 0.2833 data_time: 0.0160 memory: 6332 grad_norm: 4.4151 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0349 loss: 2.0349 2022/08/19 07:01:55 - mmengine - INFO - Epoch(train) [193][2400/3757] lr: 1.4645e-02 eta: 19:29:59 time: 0.2850 data_time: 0.0158 memory: 6332 grad_norm: 4.5549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3145 loss: 2.3145 2022/08/19 07:02:24 - mmengine - INFO - Epoch(train) [193][2500/3757] lr: 1.4645e-02 eta: 19:29:29 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 4.2508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5608 loss: 2.5608 2022/08/19 07:02:54 - mmengine - INFO - Epoch(train) [193][2600/3757] lr: 1.4645e-02 eta: 19:28:59 time: 0.2862 data_time: 0.0170 memory: 6332 grad_norm: 4.4462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3502 loss: 2.3502 2022/08/19 07:03:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:03:23 - mmengine - INFO - Epoch(train) [193][2700/3757] lr: 1.4645e-02 eta: 19:28:29 time: 0.2883 data_time: 0.0172 memory: 6332 grad_norm: 4.3766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2844 loss: 2.2844 2022/08/19 07:03:52 - mmengine - INFO - Epoch(train) [193][2800/3757] lr: 1.4645e-02 eta: 19:27:58 time: 0.2920 data_time: 0.0173 memory: 6332 grad_norm: 4.3747 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8565 loss: 1.8565 2022/08/19 07:04:21 - mmengine - INFO - Epoch(train) [193][2900/3757] lr: 1.4645e-02 eta: 19:27:27 time: 0.2873 data_time: 0.0181 memory: 6332 grad_norm: 4.4312 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5143 loss: 2.5143 2022/08/19 07:04:51 - mmengine - INFO - Epoch(train) [193][3000/3757] lr: 1.4645e-02 eta: 19:26:58 time: 0.3153 data_time: 0.0185 memory: 6332 grad_norm: 4.4202 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2592 loss: 2.2592 2022/08/19 07:05:21 - mmengine - INFO - Epoch(train) [193][3100/3757] lr: 1.4645e-02 eta: 19:26:29 time: 0.2868 data_time: 0.0183 memory: 6332 grad_norm: 4.3668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2033 loss: 2.2033 2022/08/19 07:05:50 - mmengine - INFO - Epoch(train) [193][3200/3757] lr: 1.4645e-02 eta: 19:25:58 time: 0.2924 data_time: 0.0170 memory: 6332 grad_norm: 4.5323 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3468 loss: 2.3468 2022/08/19 07:06:19 - mmengine - INFO - Epoch(train) [193][3300/3757] lr: 1.4645e-02 eta: 19:25:28 time: 0.2877 data_time: 0.0187 memory: 6332 grad_norm: 4.4877 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2378 loss: 2.2378 2022/08/19 07:06:49 - mmengine - INFO - Epoch(train) [193][3400/3757] lr: 1.4645e-02 eta: 19:24:58 time: 0.2977 data_time: 0.0188 memory: 6332 grad_norm: 4.6291 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7683 loss: 2.7683 2022/08/19 07:07:18 - mmengine - INFO - Epoch(train) [193][3500/3757] lr: 1.4645e-02 eta: 19:24:27 time: 0.2875 data_time: 0.0189 memory: 6332 grad_norm: 4.3724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1346 loss: 2.1346 2022/08/19 07:07:48 - mmengine - INFO - Epoch(train) [193][3600/3757] lr: 1.4645e-02 eta: 19:23:58 time: 0.3000 data_time: 0.0175 memory: 6332 grad_norm: 4.4116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3915 loss: 2.3915 2022/08/19 07:08:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:08:17 - mmengine - INFO - Epoch(train) [193][3700/3757] lr: 1.4645e-02 eta: 19:23:27 time: 0.2860 data_time: 0.0167 memory: 6332 grad_norm: 4.3724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2008 loss: 2.2008 2022/08/19 07:08:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:08:33 - mmengine - INFO - Epoch(train) [193][3757/3757] lr: 1.4645e-02 eta: 19:23:15 time: 0.2680 data_time: 0.0169 memory: 6332 grad_norm: 4.4086 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.0352 loss: 2.0352 2022/08/19 07:09:04 - mmengine - INFO - Epoch(train) [194][100/3757] lr: 1.4213e-02 eta: 19:22:33 time: 0.2861 data_time: 0.0175 memory: 6332 grad_norm: 4.4290 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1564 loss: 2.1564 2022/08/19 07:09:33 - mmengine - INFO - Epoch(train) [194][200/3757] lr: 1.4213e-02 eta: 19:22:02 time: 0.2876 data_time: 0.0188 memory: 6332 grad_norm: 4.4825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1512 loss: 2.1512 2022/08/19 07:10:03 - mmengine - INFO - Epoch(train) [194][300/3757] lr: 1.4213e-02 eta: 19:21:32 time: 0.2877 data_time: 0.0169 memory: 6332 grad_norm: 4.2523 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0952 loss: 2.0952 2022/08/19 07:10:32 - mmengine - INFO - Epoch(train) [194][400/3757] lr: 1.4213e-02 eta: 19:21:01 time: 0.2896 data_time: 0.0179 memory: 6332 grad_norm: 4.5792 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2269 loss: 2.2269 2022/08/19 07:11:01 - mmengine - INFO - Epoch(train) [194][500/3757] lr: 1.4213e-02 eta: 19:20:31 time: 0.2947 data_time: 0.0202 memory: 6332 grad_norm: 4.6201 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1755 loss: 2.1755 2022/08/19 07:11:30 - mmengine - INFO - Epoch(train) [194][600/3757] lr: 1.4213e-02 eta: 19:20:00 time: 0.2855 data_time: 0.0172 memory: 6332 grad_norm: 4.3722 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0846 loss: 2.0846 2022/08/19 07:11:59 - mmengine - INFO - Epoch(train) [194][700/3757] lr: 1.4213e-02 eta: 19:19:29 time: 0.2911 data_time: 0.0187 memory: 6332 grad_norm: 4.3511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1623 loss: 2.1623 2022/08/19 07:12:28 - mmengine - INFO - Epoch(train) [194][800/3757] lr: 1.4213e-02 eta: 19:18:58 time: 0.2876 data_time: 0.0191 memory: 6332 grad_norm: 4.5816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1272 loss: 2.1272 2022/08/19 07:12:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:12:57 - mmengine - INFO - Epoch(train) [194][900/3757] lr: 1.4213e-02 eta: 19:18:28 time: 0.2877 data_time: 0.0166 memory: 6332 grad_norm: 4.4528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1610 loss: 2.1610 2022/08/19 07:13:27 - mmengine - INFO - Epoch(train) [194][1000/3757] lr: 1.4213e-02 eta: 19:17:57 time: 0.2870 data_time: 0.0177 memory: 6332 grad_norm: 4.4063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0954 loss: 2.0954 2022/08/19 07:13:56 - mmengine - INFO - Epoch(train) [194][1100/3757] lr: 1.4213e-02 eta: 19:17:26 time: 0.2862 data_time: 0.0176 memory: 6332 grad_norm: 4.5479 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2567 loss: 2.2567 2022/08/19 07:14:25 - mmengine - INFO - Epoch(train) [194][1200/3757] lr: 1.4213e-02 eta: 19:16:56 time: 0.2859 data_time: 0.0165 memory: 6332 grad_norm: 4.4826 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2878 loss: 2.2878 2022/08/19 07:14:54 - mmengine - INFO - Epoch(train) [194][1300/3757] lr: 1.4213e-02 eta: 19:16:26 time: 0.2846 data_time: 0.0162 memory: 6332 grad_norm: 4.4607 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4386 loss: 2.4386 2022/08/19 07:15:23 - mmengine - INFO - Epoch(train) [194][1400/3757] lr: 1.4213e-02 eta: 19:15:55 time: 0.2881 data_time: 0.0172 memory: 6332 grad_norm: 4.4052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0886 loss: 2.0886 2022/08/19 07:15:53 - mmengine - INFO - Epoch(train) [194][1500/3757] lr: 1.4213e-02 eta: 19:15:25 time: 0.2874 data_time: 0.0174 memory: 6332 grad_norm: 4.4256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2255 loss: 2.2255 2022/08/19 07:16:22 - mmengine - INFO - Epoch(train) [194][1600/3757] lr: 1.4213e-02 eta: 19:14:56 time: 0.2913 data_time: 0.0182 memory: 6332 grad_norm: 4.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1265 loss: 2.1265 2022/08/19 07:16:51 - mmengine - INFO - Epoch(train) [194][1700/3757] lr: 1.4213e-02 eta: 19:14:25 time: 0.2869 data_time: 0.0185 memory: 6332 grad_norm: 4.5727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1396 loss: 2.1396 2022/08/19 07:17:21 - mmengine - INFO - Epoch(train) [194][1800/3757] lr: 1.4213e-02 eta: 19:13:54 time: 0.2898 data_time: 0.0172 memory: 6332 grad_norm: 4.4146 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3367 loss: 2.3367 2022/08/19 07:17:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:17:50 - mmengine - INFO - Epoch(train) [194][1900/3757] lr: 1.4213e-02 eta: 19:13:24 time: 0.2886 data_time: 0.0181 memory: 6332 grad_norm: 4.3443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2921 loss: 2.2921 2022/08/19 07:18:19 - mmengine - INFO - Epoch(train) [194][2000/3757] lr: 1.4213e-02 eta: 19:12:53 time: 0.2909 data_time: 0.0180 memory: 6332 grad_norm: 4.5101 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2568 loss: 2.2568 2022/08/19 07:18:48 - mmengine - INFO - Epoch(train) [194][2100/3757] lr: 1.4213e-02 eta: 19:12:22 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 4.5747 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4354 loss: 2.4354 2022/08/19 07:19:17 - mmengine - INFO - Epoch(train) [194][2200/3757] lr: 1.4213e-02 eta: 19:11:51 time: 0.2861 data_time: 0.0176 memory: 6332 grad_norm: 4.5633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2761 loss: 2.2761 2022/08/19 07:19:46 - mmengine - INFO - Epoch(train) [194][2300/3757] lr: 1.4213e-02 eta: 19:11:21 time: 0.2861 data_time: 0.0167 memory: 6332 grad_norm: 4.5843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2978 loss: 2.2978 2022/08/19 07:20:15 - mmengine - INFO - Epoch(train) [194][2400/3757] lr: 1.4213e-02 eta: 19:10:50 time: 0.2865 data_time: 0.0166 memory: 6332 grad_norm: 4.4313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9415 loss: 1.9415 2022/08/19 07:20:44 - mmengine - INFO - Epoch(train) [194][2500/3757] lr: 1.4213e-02 eta: 19:10:19 time: 0.2859 data_time: 0.0178 memory: 6332 grad_norm: 4.6237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1309 loss: 2.1309 2022/08/19 07:21:14 - mmengine - INFO - Epoch(train) [194][2600/3757] lr: 1.4213e-02 eta: 19:09:49 time: 0.2970 data_time: 0.0173 memory: 6332 grad_norm: 4.5256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9683 loss: 1.9683 2022/08/19 07:21:43 - mmengine - INFO - Epoch(train) [194][2700/3757] lr: 1.4213e-02 eta: 19:09:18 time: 0.2912 data_time: 0.0174 memory: 6332 grad_norm: 4.5872 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4156 loss: 2.4156 2022/08/19 07:22:12 - mmengine - INFO - Epoch(train) [194][2800/3757] lr: 1.4213e-02 eta: 19:08:48 time: 0.2908 data_time: 0.0180 memory: 6332 grad_norm: 4.4871 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0891 loss: 2.0891 2022/08/19 07:22:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:22:41 - mmengine - INFO - Epoch(train) [194][2900/3757] lr: 1.4213e-02 eta: 19:08:17 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 4.5714 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/08/19 07:23:10 - mmengine - INFO - Epoch(train) [194][3000/3757] lr: 1.4213e-02 eta: 19:07:46 time: 0.2894 data_time: 0.0190 memory: 6332 grad_norm: 4.5712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1592 loss: 2.1592 2022/08/19 07:23:39 - mmengine - INFO - Epoch(train) [194][3100/3757] lr: 1.4213e-02 eta: 19:07:15 time: 0.2858 data_time: 0.0166 memory: 6332 grad_norm: 4.6549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3537 loss: 2.3537 2022/08/19 07:24:08 - mmengine - INFO - Epoch(train) [194][3200/3757] lr: 1.4213e-02 eta: 19:06:44 time: 0.2868 data_time: 0.0169 memory: 6332 grad_norm: 4.4590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1859 loss: 2.1859 2022/08/19 07:24:37 - mmengine - INFO - Epoch(train) [194][3300/3757] lr: 1.4213e-02 eta: 19:06:14 time: 0.2885 data_time: 0.0175 memory: 6332 grad_norm: 4.4096 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2750 loss: 2.2750 2022/08/19 07:25:06 - mmengine - INFO - Epoch(train) [194][3400/3757] lr: 1.4213e-02 eta: 19:05:43 time: 0.2853 data_time: 0.0176 memory: 6332 grad_norm: 4.5113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0429 loss: 2.0429 2022/08/19 07:25:35 - mmengine - INFO - Epoch(train) [194][3500/3757] lr: 1.4213e-02 eta: 19:05:12 time: 0.2862 data_time: 0.0168 memory: 6332 grad_norm: 4.5674 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8917 loss: 1.8917 2022/08/19 07:26:04 - mmengine - INFO - Epoch(train) [194][3600/3757] lr: 1.4213e-02 eta: 19:04:42 time: 0.2930 data_time: 0.0200 memory: 6332 grad_norm: 4.4620 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5037 loss: 2.5037 2022/08/19 07:26:34 - mmengine - INFO - Epoch(train) [194][3700/3757] lr: 1.4213e-02 eta: 19:04:12 time: 0.2945 data_time: 0.0174 memory: 6332 grad_norm: 4.6177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3269 loss: 2.3269 2022/08/19 07:26:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:26:50 - mmengine - INFO - Epoch(train) [194][3757/3757] lr: 1.4213e-02 eta: 19:03:59 time: 0.2691 data_time: 0.0157 memory: 6332 grad_norm: 4.3932 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.0824 loss: 2.0824 2022/08/19 07:27:21 - mmengine - INFO - Epoch(train) [195][100/3757] lr: 1.3788e-02 eta: 19:03:17 time: 0.2854 data_time: 0.0166 memory: 6332 grad_norm: 4.4969 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0502 loss: 2.0502 2022/08/19 07:27:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:27:50 - mmengine - INFO - Epoch(train) [195][200/3757] lr: 1.3788e-02 eta: 19:02:47 time: 0.2882 data_time: 0.0190 memory: 6332 grad_norm: 4.5452 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0342 loss: 2.0342 2022/08/19 07:28:20 - mmengine - INFO - Epoch(train) [195][300/3757] lr: 1.3788e-02 eta: 19:02:17 time: 0.2868 data_time: 0.0176 memory: 6332 grad_norm: 4.5059 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1181 loss: 2.1181 2022/08/19 07:28:49 - mmengine - INFO - Epoch(train) [195][400/3757] lr: 1.3788e-02 eta: 19:01:47 time: 0.2868 data_time: 0.0171 memory: 6332 grad_norm: 4.4433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0302 loss: 2.0302 2022/08/19 07:29:19 - mmengine - INFO - Epoch(train) [195][500/3757] lr: 1.3788e-02 eta: 19:01:18 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 4.4242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3647 loss: 2.3647 2022/08/19 07:29:48 - mmengine - INFO - Epoch(train) [195][600/3757] lr: 1.3788e-02 eta: 19:00:48 time: 0.2866 data_time: 0.0169 memory: 6332 grad_norm: 4.3940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3814 loss: 2.3814 2022/08/19 07:30:17 - mmengine - INFO - Epoch(train) [195][700/3757] lr: 1.3788e-02 eta: 19:00:17 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 4.4483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0939 loss: 2.0939 2022/08/19 07:30:47 - mmengine - INFO - Epoch(train) [195][800/3757] lr: 1.3788e-02 eta: 18:59:47 time: 0.2868 data_time: 0.0169 memory: 6332 grad_norm: 4.4952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/08/19 07:31:16 - mmengine - INFO - Epoch(train) [195][900/3757] lr: 1.3788e-02 eta: 18:59:17 time: 0.2865 data_time: 0.0163 memory: 6332 grad_norm: 4.5077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1163 loss: 2.1163 2022/08/19 07:31:45 - mmengine - INFO - Epoch(train) [195][1000/3757] lr: 1.3788e-02 eta: 18:58:46 time: 0.2886 data_time: 0.0166 memory: 6332 grad_norm: 4.4814 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3042 loss: 2.3042 2022/08/19 07:32:14 - mmengine - INFO - Epoch(train) [195][1100/3757] lr: 1.3788e-02 eta: 18:58:16 time: 0.2976 data_time: 0.0173 memory: 6332 grad_norm: 4.5325 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4874 loss: 2.4874 2022/08/19 07:32:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:32:44 - mmengine - INFO - Epoch(train) [195][1200/3757] lr: 1.3788e-02 eta: 18:57:46 time: 0.2861 data_time: 0.0166 memory: 6332 grad_norm: 4.4113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2176 loss: 2.2176 2022/08/19 07:33:13 - mmengine - INFO - Epoch(train) [195][1300/3757] lr: 1.3788e-02 eta: 18:57:16 time: 0.2967 data_time: 0.0194 memory: 6332 grad_norm: 4.6332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1227 loss: 2.1227 2022/08/19 07:33:42 - mmengine - INFO - Epoch(train) [195][1400/3757] lr: 1.3788e-02 eta: 18:56:45 time: 0.2876 data_time: 0.0174 memory: 6332 grad_norm: 4.4068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0513 loss: 2.0513 2022/08/19 07:34:12 - mmengine - INFO - Epoch(train) [195][1500/3757] lr: 1.3788e-02 eta: 18:56:15 time: 0.2936 data_time: 0.0183 memory: 6332 grad_norm: 4.6004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/08/19 07:34:41 - mmengine - INFO - Epoch(train) [195][1600/3757] lr: 1.3788e-02 eta: 18:55:45 time: 0.2860 data_time: 0.0159 memory: 6332 grad_norm: 4.5727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8828 loss: 1.8828 2022/08/19 07:35:10 - mmengine - INFO - Epoch(train) [195][1700/3757] lr: 1.3788e-02 eta: 18:55:14 time: 0.2866 data_time: 0.0172 memory: 6332 grad_norm: 4.5303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3773 loss: 2.3773 2022/08/19 07:35:39 - mmengine - INFO - Epoch(train) [195][1800/3757] lr: 1.3788e-02 eta: 18:54:44 time: 0.2864 data_time: 0.0177 memory: 6332 grad_norm: 4.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3960 loss: 2.3960 2022/08/19 07:36:08 - mmengine - INFO - Epoch(train) [195][1900/3757] lr: 1.3788e-02 eta: 18:54:13 time: 0.2872 data_time: 0.0178 memory: 6332 grad_norm: 4.3528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3656 loss: 2.3656 2022/08/19 07:36:37 - mmengine - INFO - Epoch(train) [195][2000/3757] lr: 1.3788e-02 eta: 18:53:43 time: 0.2882 data_time: 0.0188 memory: 6332 grad_norm: 4.5959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3517 loss: 2.3517 2022/08/19 07:37:06 - mmengine - INFO - Epoch(train) [195][2100/3757] lr: 1.3788e-02 eta: 18:53:13 time: 0.2865 data_time: 0.0169 memory: 6332 grad_norm: 4.4618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4096 loss: 2.4096 2022/08/19 07:37:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:37:36 - mmengine - INFO - Epoch(train) [195][2200/3757] lr: 1.3788e-02 eta: 18:52:42 time: 0.2958 data_time: 0.0191 memory: 6332 grad_norm: 4.4807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/08/19 07:38:05 - mmengine - INFO - Epoch(train) [195][2300/3757] lr: 1.3788e-02 eta: 18:52:12 time: 0.2882 data_time: 0.0169 memory: 6332 grad_norm: 4.7058 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3687 loss: 2.3687 2022/08/19 07:38:34 - mmengine - INFO - Epoch(train) [195][2400/3757] lr: 1.3788e-02 eta: 18:51:42 time: 0.2896 data_time: 0.0187 memory: 6332 grad_norm: 4.4790 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3324 loss: 2.3324 2022/08/19 07:39:03 - mmengine - INFO - Epoch(train) [195][2500/3757] lr: 1.3788e-02 eta: 18:51:11 time: 0.2878 data_time: 0.0180 memory: 6332 grad_norm: 4.5408 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3641 loss: 2.3641 2022/08/19 07:39:32 - mmengine - INFO - Epoch(train) [195][2600/3757] lr: 1.3788e-02 eta: 18:50:40 time: 0.2904 data_time: 0.0167 memory: 6332 grad_norm: 4.5057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4465 loss: 2.4465 2022/08/19 07:40:02 - mmengine - INFO - Epoch(train) [195][2700/3757] lr: 1.3788e-02 eta: 18:50:10 time: 0.2899 data_time: 0.0186 memory: 6332 grad_norm: 4.6557 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1987 loss: 2.1987 2022/08/19 07:40:31 - mmengine - INFO - Epoch(train) [195][2800/3757] lr: 1.3788e-02 eta: 18:49:40 time: 0.2869 data_time: 0.0171 memory: 6332 grad_norm: 4.4586 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0853 loss: 2.0853 2022/08/19 07:41:00 - mmengine - INFO - Epoch(train) [195][2900/3757] lr: 1.3788e-02 eta: 18:49:10 time: 0.2856 data_time: 0.0175 memory: 6332 grad_norm: 4.5954 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9758 loss: 1.9758 2022/08/19 07:41:29 - mmengine - INFO - Epoch(train) [195][3000/3757] lr: 1.3788e-02 eta: 18:48:39 time: 0.2865 data_time: 0.0173 memory: 6332 grad_norm: 4.5341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3702 loss: 2.3702 2022/08/19 07:41:58 - mmengine - INFO - Epoch(train) [195][3100/3757] lr: 1.3788e-02 eta: 18:48:08 time: 0.2846 data_time: 0.0166 memory: 6332 grad_norm: 4.4155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9499 loss: 1.9499 2022/08/19 07:42:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:42:27 - mmengine - INFO - Epoch(train) [195][3200/3757] lr: 1.3788e-02 eta: 18:47:38 time: 0.2842 data_time: 0.0164 memory: 6332 grad_norm: 4.4137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3172 loss: 2.3172 2022/08/19 07:42:56 - mmengine - INFO - Epoch(train) [195][3300/3757] lr: 1.3788e-02 eta: 18:47:07 time: 0.2876 data_time: 0.0189 memory: 6332 grad_norm: 4.5576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4326 loss: 2.4326 2022/08/19 07:43:25 - mmengine - INFO - Epoch(train) [195][3400/3757] lr: 1.3788e-02 eta: 18:46:37 time: 0.2909 data_time: 0.0178 memory: 6332 grad_norm: 4.4965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0702 loss: 2.0702 2022/08/19 07:43:54 - mmengine - INFO - Epoch(train) [195][3500/3757] lr: 1.3788e-02 eta: 18:46:06 time: 0.2891 data_time: 0.0177 memory: 6332 grad_norm: 4.5132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1089 loss: 2.1089 2022/08/19 07:44:23 - mmengine - INFO - Epoch(train) [195][3600/3757] lr: 1.3788e-02 eta: 18:45:35 time: 0.2893 data_time: 0.0185 memory: 6332 grad_norm: 4.4120 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7845 loss: 1.7845 2022/08/19 07:44:52 - mmengine - INFO - Epoch(train) [195][3700/3757] lr: 1.3788e-02 eta: 18:45:04 time: 0.2877 data_time: 0.0183 memory: 6332 grad_norm: 4.6710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0875 loss: 2.0875 2022/08/19 07:45:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:45:09 - mmengine - INFO - Epoch(train) [195][3757/3757] lr: 1.3788e-02 eta: 18:44:53 time: 0.2699 data_time: 0.0151 memory: 6332 grad_norm: 4.4906 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.0328 loss: 2.0328 2022/08/19 07:45:30 - mmengine - INFO - Epoch(val) [195][100/310] eta: 0:00:42 time: 0.2006 data_time: 0.1068 memory: 1147 2022/08/19 07:45:51 - mmengine - INFO - Epoch(val) [195][200/310] eta: 0:00:19 time: 0.1794 data_time: 0.0820 memory: 1147 2022/08/19 07:46:11 - mmengine - INFO - Epoch(val) [195][300/310] eta: 0:00:01 time: 0.1889 data_time: 0.0967 memory: 1147 2022/08/19 07:46:16 - mmengine - INFO - Epoch(val) [195][310/310] acc/top1: 0.5670 acc/top5: 0.8067 acc/mean1: 0.5669 2022/08/19 07:46:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_191.pth is removed 2022/08/19 07:46:19 - mmengine - INFO - The best checkpoint with 0.5670 acc/top1 at 196 epoch is saved to best_acc/top1_epoch_196.pth. 2022/08/19 07:46:49 - mmengine - INFO - Epoch(train) [196][100/3757] lr: 1.3367e-02 eta: 18:44:09 time: 0.2867 data_time: 0.0164 memory: 6332 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9846 loss: 1.9846 2022/08/19 07:47:18 - mmengine - INFO - Epoch(train) [196][200/3757] lr: 1.3367e-02 eta: 18:43:38 time: 0.2868 data_time: 0.0187 memory: 6332 grad_norm: 4.5832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0758 loss: 2.0758 2022/08/19 07:47:47 - mmengine - INFO - Epoch(train) [196][300/3757] lr: 1.3367e-02 eta: 18:43:08 time: 0.2869 data_time: 0.0178 memory: 6332 grad_norm: 4.5466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2182 loss: 2.2182 2022/08/19 07:48:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:48:16 - mmengine - INFO - Epoch(train) [196][400/3757] lr: 1.3367e-02 eta: 18:42:37 time: 0.2888 data_time: 0.0166 memory: 6332 grad_norm: 4.4222 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3710 loss: 2.3710 2022/08/19 07:48:45 - mmengine - INFO - Epoch(train) [196][500/3757] lr: 1.3367e-02 eta: 18:42:07 time: 0.2875 data_time: 0.0172 memory: 6332 grad_norm: 4.6489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3611 loss: 2.3611 2022/08/19 07:49:14 - mmengine - INFO - Epoch(train) [196][600/3757] lr: 1.3367e-02 eta: 18:41:36 time: 0.2909 data_time: 0.0187 memory: 6332 grad_norm: 4.7982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0886 loss: 2.0886 2022/08/19 07:49:44 - mmengine - INFO - Epoch(train) [196][700/3757] lr: 1.3367e-02 eta: 18:41:06 time: 0.2953 data_time: 0.0188 memory: 6332 grad_norm: 4.7659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8980 loss: 1.8980 2022/08/19 07:50:13 - mmengine - INFO - Epoch(train) [196][800/3757] lr: 1.3367e-02 eta: 18:40:35 time: 0.2922 data_time: 0.0184 memory: 6332 grad_norm: 4.5960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1863 loss: 2.1863 2022/08/19 07:50:42 - mmengine - INFO - Epoch(train) [196][900/3757] lr: 1.3367e-02 eta: 18:40:05 time: 0.2854 data_time: 0.0174 memory: 6332 grad_norm: 4.5181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/08/19 07:51:14 - mmengine - INFO - Epoch(train) [196][1000/3757] lr: 1.3367e-02 eta: 18:39:41 time: 0.2880 data_time: 0.0161 memory: 6332 grad_norm: 4.5526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4686 loss: 2.4686 2022/08/19 07:51:43 - mmengine - INFO - Epoch(train) [196][1100/3757] lr: 1.3367e-02 eta: 18:39:10 time: 0.2867 data_time: 0.0189 memory: 6332 grad_norm: 4.5833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2997 loss: 2.2997 2022/08/19 07:52:12 - mmengine - INFO - Epoch(train) [196][1200/3757] lr: 1.3367e-02 eta: 18:38:40 time: 0.2920 data_time: 0.0180 memory: 6332 grad_norm: 4.6127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/08/19 07:52:42 - mmengine - INFO - Epoch(train) [196][1300/3757] lr: 1.3367e-02 eta: 18:38:10 time: 0.2872 data_time: 0.0178 memory: 6332 grad_norm: 4.6254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3108 loss: 2.3108 2022/08/19 07:53:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:53:11 - mmengine - INFO - Epoch(train) [196][1400/3757] lr: 1.3367e-02 eta: 18:37:40 time: 0.2869 data_time: 0.0176 memory: 6332 grad_norm: 4.4159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1703 loss: 2.1703 2022/08/19 07:53:40 - mmengine - INFO - Epoch(train) [196][1500/3757] lr: 1.3367e-02 eta: 18:37:10 time: 0.2874 data_time: 0.0167 memory: 6332 grad_norm: 4.7257 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3542 loss: 2.3542 2022/08/19 07:54:09 - mmengine - INFO - Epoch(train) [196][1600/3757] lr: 1.3367e-02 eta: 18:36:39 time: 0.2854 data_time: 0.0159 memory: 6332 grad_norm: 4.4961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2130 loss: 2.2130 2022/08/19 07:54:38 - mmengine - INFO - Epoch(train) [196][1700/3757] lr: 1.3367e-02 eta: 18:36:09 time: 0.2853 data_time: 0.0170 memory: 6332 grad_norm: 4.4965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1698 loss: 2.1698 2022/08/19 07:55:08 - mmengine - INFO - Epoch(train) [196][1800/3757] lr: 1.3367e-02 eta: 18:35:38 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 4.6957 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2765 loss: 2.2765 2022/08/19 07:55:37 - mmengine - INFO - Epoch(train) [196][1900/3757] lr: 1.3367e-02 eta: 18:35:08 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 4.5419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9147 loss: 1.9147 2022/08/19 07:56:06 - mmengine - INFO - Epoch(train) [196][2000/3757] lr: 1.3367e-02 eta: 18:34:37 time: 0.2870 data_time: 0.0174 memory: 6332 grad_norm: 4.5728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4061 loss: 2.4061 2022/08/19 07:56:35 - mmengine - INFO - Epoch(train) [196][2100/3757] lr: 1.3367e-02 eta: 18:34:07 time: 0.2967 data_time: 0.0178 memory: 6332 grad_norm: 4.6489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1522 loss: 2.1522 2022/08/19 07:57:04 - mmengine - INFO - Epoch(train) [196][2200/3757] lr: 1.3367e-02 eta: 18:33:37 time: 0.2861 data_time: 0.0168 memory: 6332 grad_norm: 4.4591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2427 loss: 2.2427 2022/08/19 07:57:34 - mmengine - INFO - Epoch(train) [196][2300/3757] lr: 1.3367e-02 eta: 18:33:07 time: 0.3041 data_time: 0.0180 memory: 6332 grad_norm: 4.5937 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0526 loss: 2.0526 2022/08/19 07:57:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 07:58:03 - mmengine - INFO - Epoch(train) [196][2400/3757] lr: 1.3367e-02 eta: 18:32:36 time: 0.2868 data_time: 0.0175 memory: 6332 grad_norm: 4.5975 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3063 loss: 2.3063 2022/08/19 07:58:31 - mmengine - INFO - Epoch(train) [196][2500/3757] lr: 1.3367e-02 eta: 18:32:05 time: 0.2855 data_time: 0.0176 memory: 6332 grad_norm: 4.4459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0389 loss: 2.0389 2022/08/19 07:59:01 - mmengine - INFO - Epoch(train) [196][2600/3757] lr: 1.3367e-02 eta: 18:31:35 time: 0.2862 data_time: 0.0167 memory: 6332 grad_norm: 4.5648 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2099 loss: 2.2099 2022/08/19 07:59:30 - mmengine - INFO - Epoch(train) [196][2700/3757] lr: 1.3367e-02 eta: 18:31:05 time: 0.2854 data_time: 0.0177 memory: 6332 grad_norm: 4.5942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2519 loss: 2.2519 2022/08/19 07:59:59 - mmengine - INFO - Epoch(train) [196][2800/3757] lr: 1.3367e-02 eta: 18:30:34 time: 0.2868 data_time: 0.0171 memory: 6332 grad_norm: 4.6251 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0628 loss: 2.0628 2022/08/19 08:00:28 - mmengine - INFO - Epoch(train) [196][2900/3757] lr: 1.3367e-02 eta: 18:30:04 time: 0.2875 data_time: 0.0181 memory: 6332 grad_norm: 4.6611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2224 loss: 2.2224 2022/08/19 08:00:57 - mmengine - INFO - Epoch(train) [196][3000/3757] lr: 1.3367e-02 eta: 18:29:34 time: 0.2960 data_time: 0.0180 memory: 6332 grad_norm: 4.8382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2725 loss: 2.2725 2022/08/19 08:01:26 - mmengine - INFO - Epoch(train) [196][3100/3757] lr: 1.3367e-02 eta: 18:29:03 time: 0.2855 data_time: 0.0172 memory: 6332 grad_norm: 4.5378 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9452 loss: 1.9452 2022/08/19 08:01:55 - mmengine - INFO - Epoch(train) [196][3200/3757] lr: 1.3367e-02 eta: 18:28:33 time: 0.2982 data_time: 0.0189 memory: 6332 grad_norm: 4.5404 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1740 loss: 2.1740 2022/08/19 08:02:24 - mmengine - INFO - Epoch(train) [196][3300/3757] lr: 1.3367e-02 eta: 18:28:02 time: 0.2875 data_time: 0.0177 memory: 6332 grad_norm: 4.6002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1515 loss: 2.1515 2022/08/19 08:02:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:02:54 - mmengine - INFO - Epoch(train) [196][3400/3757] lr: 1.3367e-02 eta: 18:27:32 time: 0.2888 data_time: 0.0175 memory: 6332 grad_norm: 4.4772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1260 loss: 2.1260 2022/08/19 08:03:23 - mmengine - INFO - Epoch(train) [196][3500/3757] lr: 1.3367e-02 eta: 18:27:01 time: 0.2875 data_time: 0.0161 memory: 6332 grad_norm: 4.5582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3794 loss: 2.3794 2022/08/19 08:03:52 - mmengine - INFO - Epoch(train) [196][3600/3757] lr: 1.3367e-02 eta: 18:26:31 time: 0.2868 data_time: 0.0175 memory: 6332 grad_norm: 4.6447 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4986 loss: 2.4986 2022/08/19 08:04:21 - mmengine - INFO - Epoch(train) [196][3700/3757] lr: 1.3367e-02 eta: 18:26:00 time: 0.2859 data_time: 0.0176 memory: 6332 grad_norm: 4.6151 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1778 loss: 2.1778 2022/08/19 08:04:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:04:37 - mmengine - INFO - Epoch(train) [196][3757/3757] lr: 1.3367e-02 eta: 18:25:48 time: 0.2701 data_time: 0.0172 memory: 6332 grad_norm: 4.5021 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1148 loss: 2.1148 2022/08/19 08:04:37 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/19 08:05:11 - mmengine - INFO - Epoch(train) [197][100/3757] lr: 1.2952e-02 eta: 18:25:05 time: 0.2854 data_time: 0.0161 memory: 6332 grad_norm: 4.6522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4233 loss: 2.4233 2022/08/19 08:05:40 - mmengine - INFO - Epoch(train) [197][200/3757] lr: 1.2952e-02 eta: 18:24:35 time: 0.2869 data_time: 0.0167 memory: 6332 grad_norm: 4.4955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3533 loss: 2.3533 2022/08/19 08:06:09 - mmengine - INFO - Epoch(train) [197][300/3757] lr: 1.2952e-02 eta: 18:24:05 time: 0.2861 data_time: 0.0169 memory: 6332 grad_norm: 4.5098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9580 loss: 1.9580 2022/08/19 08:06:39 - mmengine - INFO - Epoch(train) [197][400/3757] lr: 1.2952e-02 eta: 18:23:35 time: 0.2923 data_time: 0.0180 memory: 6332 grad_norm: 4.5317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/08/19 08:07:08 - mmengine - INFO - Epoch(train) [197][500/3757] lr: 1.2952e-02 eta: 18:23:04 time: 0.2865 data_time: 0.0168 memory: 6332 grad_norm: 4.7429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2997 loss: 2.2997 2022/08/19 08:07:37 - mmengine - INFO - Epoch(train) [197][600/3757] lr: 1.2952e-02 eta: 18:22:34 time: 0.2914 data_time: 0.0183 memory: 6332 grad_norm: 4.5798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0073 loss: 2.0073 2022/08/19 08:07:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:08:06 - mmengine - INFO - Epoch(train) [197][700/3757] lr: 1.2952e-02 eta: 18:22:03 time: 0.2854 data_time: 0.0160 memory: 6332 grad_norm: 4.4802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4249 loss: 2.4249 2022/08/19 08:08:35 - mmengine - INFO - Epoch(train) [197][800/3757] lr: 1.2952e-02 eta: 18:21:33 time: 0.2913 data_time: 0.0182 memory: 6332 grad_norm: 4.6037 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1910 loss: 2.1910 2022/08/19 08:09:04 - mmengine - INFO - Epoch(train) [197][900/3757] lr: 1.2952e-02 eta: 18:21:02 time: 0.2871 data_time: 0.0167 memory: 6332 grad_norm: 4.5496 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/08/19 08:09:33 - mmengine - INFO - Epoch(train) [197][1000/3757] lr: 1.2952e-02 eta: 18:20:32 time: 0.2861 data_time: 0.0168 memory: 6332 grad_norm: 4.7493 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8712 loss: 1.8712 2022/08/19 08:10:02 - mmengine - INFO - Epoch(train) [197][1100/3757] lr: 1.2952e-02 eta: 18:20:02 time: 0.2860 data_time: 0.0169 memory: 6332 grad_norm: 4.4036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3377 loss: 2.3377 2022/08/19 08:10:32 - mmengine - INFO - Epoch(train) [197][1200/3757] lr: 1.2952e-02 eta: 18:19:32 time: 0.2892 data_time: 0.0172 memory: 6332 grad_norm: 4.5467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2911 loss: 2.2911 2022/08/19 08:11:01 - mmengine - INFO - Epoch(train) [197][1300/3757] lr: 1.2952e-02 eta: 18:19:02 time: 0.2867 data_time: 0.0169 memory: 6332 grad_norm: 4.5132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4963 loss: 2.4963 2022/08/19 08:11:30 - mmengine - INFO - Epoch(train) [197][1400/3757] lr: 1.2952e-02 eta: 18:18:32 time: 0.2887 data_time: 0.0164 memory: 6332 grad_norm: 4.4876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1036 loss: 2.1036 2022/08/19 08:12:00 - mmengine - INFO - Epoch(train) [197][1500/3757] lr: 1.2952e-02 eta: 18:18:02 time: 0.2871 data_time: 0.0178 memory: 6332 grad_norm: 4.5663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2599 loss: 2.2599 2022/08/19 08:12:29 - mmengine - INFO - Epoch(train) [197][1600/3757] lr: 1.2952e-02 eta: 18:17:31 time: 0.2859 data_time: 0.0168 memory: 6332 grad_norm: 4.5768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3293 loss: 2.3293 2022/08/19 08:12:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:12:58 - mmengine - INFO - Epoch(train) [197][1700/3757] lr: 1.2952e-02 eta: 18:17:01 time: 0.2897 data_time: 0.0185 memory: 6332 grad_norm: 4.5071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0482 loss: 2.0482 2022/08/19 08:13:27 - mmengine - INFO - Epoch(train) [197][1800/3757] lr: 1.2952e-02 eta: 18:16:30 time: 0.2870 data_time: 0.0169 memory: 6332 grad_norm: 4.5495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/08/19 08:13:56 - mmengine - INFO - Epoch(train) [197][1900/3757] lr: 1.2952e-02 eta: 18:16:00 time: 0.2945 data_time: 0.0175 memory: 6332 grad_norm: 4.5359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4151 loss: 2.4151 2022/08/19 08:14:25 - mmengine - INFO - Epoch(train) [197][2000/3757] lr: 1.2952e-02 eta: 18:15:30 time: 0.2867 data_time: 0.0165 memory: 6332 grad_norm: 4.6205 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1454 loss: 2.1454 2022/08/19 08:14:54 - mmengine - INFO - Epoch(train) [197][2100/3757] lr: 1.2952e-02 eta: 18:15:00 time: 0.2897 data_time: 0.0184 memory: 6332 grad_norm: 4.6736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/08/19 08:15:23 - mmengine - INFO - Epoch(train) [197][2200/3757] lr: 1.2952e-02 eta: 18:14:29 time: 0.2863 data_time: 0.0158 memory: 6332 grad_norm: 4.4666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3215 loss: 2.3215 2022/08/19 08:15:52 - mmengine - INFO - Epoch(train) [197][2300/3757] lr: 1.2952e-02 eta: 18:13:59 time: 0.2871 data_time: 0.0167 memory: 6332 grad_norm: 4.6299 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4038 loss: 2.4038 2022/08/19 08:16:21 - mmengine - INFO - Epoch(train) [197][2400/3757] lr: 1.2952e-02 eta: 18:13:28 time: 0.2861 data_time: 0.0162 memory: 6332 grad_norm: 4.6324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1145 loss: 2.1145 2022/08/19 08:16:50 - mmengine - INFO - Epoch(train) [197][2500/3757] lr: 1.2952e-02 eta: 18:12:58 time: 0.2883 data_time: 0.0172 memory: 6332 grad_norm: 4.5761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0361 loss: 2.0361 2022/08/19 08:17:20 - mmengine - INFO - Epoch(train) [197][2600/3757] lr: 1.2952e-02 eta: 18:12:28 time: 0.2918 data_time: 0.0167 memory: 6332 grad_norm: 4.7303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/08/19 08:17:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:17:49 - mmengine - INFO - Epoch(train) [197][2700/3757] lr: 1.2952e-02 eta: 18:11:58 time: 0.2874 data_time: 0.0169 memory: 6332 grad_norm: 4.6600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2670 loss: 2.2670 2022/08/19 08:18:18 - mmengine - INFO - Epoch(train) [197][2800/3757] lr: 1.2952e-02 eta: 18:11:27 time: 0.2919 data_time: 0.0177 memory: 6332 grad_norm: 4.4205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2275 loss: 2.2275 2022/08/19 08:18:47 - mmengine - INFO - Epoch(train) [197][2900/3757] lr: 1.2952e-02 eta: 18:10:57 time: 0.2880 data_time: 0.0176 memory: 6332 grad_norm: 4.7069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0986 loss: 2.0986 2022/08/19 08:19:16 - mmengine - INFO - Epoch(train) [197][3000/3757] lr: 1.2952e-02 eta: 18:10:27 time: 0.2898 data_time: 0.0193 memory: 6332 grad_norm: 4.5394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1490 loss: 2.1490 2022/08/19 08:19:45 - mmengine - INFO - Epoch(train) [197][3100/3757] lr: 1.2952e-02 eta: 18:09:56 time: 0.2878 data_time: 0.0176 memory: 6332 grad_norm: 4.6413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1308 loss: 2.1308 2022/08/19 08:20:14 - mmengine - INFO - Epoch(train) [197][3200/3757] lr: 1.2952e-02 eta: 18:09:26 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 4.6301 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2961 loss: 2.2961 2022/08/19 08:20:44 - mmengine - INFO - Epoch(train) [197][3300/3757] lr: 1.2952e-02 eta: 18:08:56 time: 0.2858 data_time: 0.0171 memory: 6332 grad_norm: 4.5565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0943 loss: 2.0943 2022/08/19 08:21:13 - mmengine - INFO - Epoch(train) [197][3400/3757] lr: 1.2952e-02 eta: 18:08:26 time: 0.2880 data_time: 0.0181 memory: 6332 grad_norm: 4.7914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4256 loss: 2.4256 2022/08/19 08:21:42 - mmengine - INFO - Epoch(train) [197][3500/3757] lr: 1.2952e-02 eta: 18:07:55 time: 0.2869 data_time: 0.0169 memory: 6332 grad_norm: 4.5576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2268 loss: 2.2268 2022/08/19 08:22:11 - mmengine - INFO - Epoch(train) [197][3600/3757] lr: 1.2952e-02 eta: 18:07:25 time: 0.2851 data_time: 0.0164 memory: 6332 grad_norm: 4.4859 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3332 loss: 2.3332 2022/08/19 08:22:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:22:40 - mmengine - INFO - Epoch(train) [197][3700/3757] lr: 1.2952e-02 eta: 18:06:54 time: 0.2910 data_time: 0.0188 memory: 6332 grad_norm: 4.5304 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5169 loss: 2.5169 2022/08/19 08:22:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:22:56 - mmengine - INFO - Epoch(train) [197][3757/3757] lr: 1.2952e-02 eta: 18:06:42 time: 0.2691 data_time: 0.0166 memory: 6332 grad_norm: 4.5946 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2067 loss: 2.2067 2022/08/19 08:23:28 - mmengine - INFO - Epoch(train) [198][100/3757] lr: 1.2543e-02 eta: 18:06:03 time: 0.2870 data_time: 0.0171 memory: 6332 grad_norm: 4.4224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/08/19 08:23:57 - mmengine - INFO - Epoch(train) [198][200/3757] lr: 1.2543e-02 eta: 18:05:33 time: 0.2934 data_time: 0.0195 memory: 6332 grad_norm: 4.6355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0986 loss: 2.0986 2022/08/19 08:24:26 - mmengine - INFO - Epoch(train) [198][300/3757] lr: 1.2543e-02 eta: 18:05:02 time: 0.2889 data_time: 0.0168 memory: 6332 grad_norm: 4.5865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3272 loss: 2.3272 2022/08/19 08:24:56 - mmengine - INFO - Epoch(train) [198][400/3757] lr: 1.2543e-02 eta: 18:04:32 time: 0.2933 data_time: 0.0189 memory: 6332 grad_norm: 4.7381 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3143 loss: 2.3143 2022/08/19 08:25:25 - mmengine - INFO - Epoch(train) [198][500/3757] lr: 1.2543e-02 eta: 18:04:02 time: 0.2872 data_time: 0.0164 memory: 6332 grad_norm: 4.6931 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6743 loss: 2.6743 2022/08/19 08:25:54 - mmengine - INFO - Epoch(train) [198][600/3757] lr: 1.2543e-02 eta: 18:03:32 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 4.7004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2267 loss: 2.2267 2022/08/19 08:26:23 - mmengine - INFO - Epoch(train) [198][700/3757] lr: 1.2543e-02 eta: 18:03:01 time: 0.2869 data_time: 0.0169 memory: 6332 grad_norm: 4.5573 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1215 loss: 2.1215 2022/08/19 08:26:52 - mmengine - INFO - Epoch(train) [198][800/3757] lr: 1.2543e-02 eta: 18:02:31 time: 0.2870 data_time: 0.0169 memory: 6332 grad_norm: 4.7397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1505 loss: 2.1505 2022/08/19 08:27:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:27:21 - mmengine - INFO - Epoch(train) [198][900/3757] lr: 1.2543e-02 eta: 18:02:00 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 4.5489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8797 loss: 1.8797 2022/08/19 08:27:50 - mmengine - INFO - Epoch(train) [198][1000/3757] lr: 1.2543e-02 eta: 18:01:30 time: 0.2895 data_time: 0.0179 memory: 6332 grad_norm: 4.6512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/08/19 08:28:19 - mmengine - INFO - Epoch(train) [198][1100/3757] lr: 1.2543e-02 eta: 18:00:59 time: 0.2869 data_time: 0.0176 memory: 6332 grad_norm: 4.6006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/08/19 08:28:48 - mmengine - INFO - Epoch(train) [198][1200/3757] lr: 1.2543e-02 eta: 18:00:29 time: 0.2881 data_time: 0.0178 memory: 6332 grad_norm: 4.5499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2121 loss: 2.2121 2022/08/19 08:29:17 - mmengine - INFO - Epoch(train) [198][1300/3757] lr: 1.2543e-02 eta: 17:59:59 time: 0.2876 data_time: 0.0186 memory: 6332 grad_norm: 4.7125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3175 loss: 2.3175 2022/08/19 08:29:46 - mmengine - INFO - Epoch(train) [198][1400/3757] lr: 1.2543e-02 eta: 17:59:28 time: 0.2876 data_time: 0.0177 memory: 6332 grad_norm: 4.6596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3737 loss: 2.3737 2022/08/19 08:30:15 - mmengine - INFO - Epoch(train) [198][1500/3757] lr: 1.2543e-02 eta: 17:58:58 time: 0.2885 data_time: 0.0164 memory: 6332 grad_norm: 4.6757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/08/19 08:30:44 - mmengine - INFO - Epoch(train) [198][1600/3757] lr: 1.2543e-02 eta: 17:58:27 time: 0.2869 data_time: 0.0169 memory: 6332 grad_norm: 4.8695 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2474 loss: 2.2474 2022/08/19 08:31:13 - mmengine - INFO - Epoch(train) [198][1700/3757] lr: 1.2543e-02 eta: 17:57:57 time: 0.2864 data_time: 0.0172 memory: 6332 grad_norm: 4.5672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/08/19 08:31:42 - mmengine - INFO - Epoch(train) [198][1800/3757] lr: 1.2543e-02 eta: 17:57:27 time: 0.2854 data_time: 0.0164 memory: 6332 grad_norm: 4.5082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0857 loss: 2.0857 2022/08/19 08:32:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:32:11 - mmengine - INFO - Epoch(train) [198][1900/3757] lr: 1.2543e-02 eta: 17:56:57 time: 0.2926 data_time: 0.0182 memory: 6332 grad_norm: 4.6540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0709 loss: 2.0709 2022/08/19 08:32:40 - mmengine - INFO - Epoch(train) [198][2000/3757] lr: 1.2543e-02 eta: 17:56:26 time: 0.2890 data_time: 0.0187 memory: 6332 grad_norm: 4.7964 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7217 loss: 2.7217 2022/08/19 08:33:10 - mmengine - INFO - Epoch(train) [198][2100/3757] lr: 1.2543e-02 eta: 17:55:56 time: 0.2947 data_time: 0.0179 memory: 6332 grad_norm: 4.6140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1122 loss: 2.1122 2022/08/19 08:33:39 - mmengine - INFO - Epoch(train) [198][2200/3757] lr: 1.2543e-02 eta: 17:55:26 time: 0.2884 data_time: 0.0182 memory: 6332 grad_norm: 4.7482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2112 loss: 2.2112 2022/08/19 08:34:08 - mmengine - INFO - Epoch(train) [198][2300/3757] lr: 1.2543e-02 eta: 17:54:55 time: 0.2866 data_time: 0.0168 memory: 6332 grad_norm: 4.6155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1616 loss: 2.1616 2022/08/19 08:34:37 - mmengine - INFO - Epoch(train) [198][2400/3757] lr: 1.2543e-02 eta: 17:54:26 time: 0.3100 data_time: 0.0185 memory: 6332 grad_norm: 4.8067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1390 loss: 2.1390 2022/08/19 08:35:07 - mmengine - INFO - Epoch(train) [198][2500/3757] lr: 1.2543e-02 eta: 17:53:56 time: 0.2869 data_time: 0.0172 memory: 6332 grad_norm: 4.6353 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0146 loss: 2.0146 2022/08/19 08:35:36 - mmengine - INFO - Epoch(train) [198][2600/3757] lr: 1.2543e-02 eta: 17:53:27 time: 0.3112 data_time: 0.0180 memory: 6332 grad_norm: 4.6691 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2167 loss: 2.2167 2022/08/19 08:36:06 - mmengine - INFO - Epoch(train) [198][2700/3757] lr: 1.2543e-02 eta: 17:52:57 time: 0.2870 data_time: 0.0174 memory: 6332 grad_norm: 4.5796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2158 loss: 2.2158 2022/08/19 08:36:35 - mmengine - INFO - Epoch(train) [198][2800/3757] lr: 1.2543e-02 eta: 17:52:27 time: 0.2856 data_time: 0.0159 memory: 6332 grad_norm: 4.5506 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3719 loss: 2.3719 2022/08/19 08:36:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:37:05 - mmengine - INFO - Epoch(train) [198][2900/3757] lr: 1.2543e-02 eta: 17:51:58 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 4.6875 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9135 loss: 1.9135 2022/08/19 08:37:34 - mmengine - INFO - Epoch(train) [198][3000/3757] lr: 1.2543e-02 eta: 17:51:28 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 4.7290 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5779 loss: 2.5779 2022/08/19 08:38:03 - mmengine - INFO - Epoch(train) [198][3100/3757] lr: 1.2543e-02 eta: 17:50:58 time: 0.2855 data_time: 0.0170 memory: 6332 grad_norm: 4.6372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1385 loss: 2.1385 2022/08/19 08:38:32 - mmengine - INFO - Epoch(train) [198][3200/3757] lr: 1.2543e-02 eta: 17:50:28 time: 0.2879 data_time: 0.0177 memory: 6332 grad_norm: 4.6290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9766 loss: 1.9766 2022/08/19 08:39:02 - mmengine - INFO - Epoch(train) [198][3300/3757] lr: 1.2543e-02 eta: 17:49:58 time: 0.2916 data_time: 0.0213 memory: 6332 grad_norm: 4.5589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/08/19 08:39:31 - mmengine - INFO - Epoch(train) [198][3400/3757] lr: 1.2543e-02 eta: 17:49:28 time: 0.2876 data_time: 0.0175 memory: 6332 grad_norm: 4.6066 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1793 loss: 2.1793 2022/08/19 08:40:00 - mmengine - INFO - Epoch(train) [198][3500/3757] lr: 1.2543e-02 eta: 17:48:58 time: 0.2917 data_time: 0.0162 memory: 6332 grad_norm: 4.6765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3973 loss: 2.3973 2022/08/19 08:40:30 - mmengine - INFO - Epoch(train) [198][3600/3757] lr: 1.2543e-02 eta: 17:48:29 time: 0.2901 data_time: 0.0201 memory: 6332 grad_norm: 4.7574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0037 loss: 2.0037 2022/08/19 08:40:59 - mmengine - INFO - Epoch(train) [198][3700/3757] lr: 1.2543e-02 eta: 17:47:59 time: 0.2985 data_time: 0.0174 memory: 6332 grad_norm: 4.6058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0100 loss: 2.0100 2022/08/19 08:41:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:41:15 - mmengine - INFO - Epoch(train) [198][3757/3757] lr: 1.2543e-02 eta: 17:47:47 time: 0.2681 data_time: 0.0158 memory: 6332 grad_norm: 4.6744 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/08/19 08:41:47 - mmengine - INFO - Epoch(train) [199][100/3757] lr: 1.2140e-02 eta: 17:47:07 time: 0.2889 data_time: 0.0176 memory: 6332 grad_norm: 4.6805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2804 loss: 2.2804 2022/08/19 08:41:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:42:16 - mmengine - INFO - Epoch(train) [199][200/3757] lr: 1.2140e-02 eta: 17:46:37 time: 0.2884 data_time: 0.0176 memory: 6332 grad_norm: 4.6915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0683 loss: 2.0683 2022/08/19 08:42:45 - mmengine - INFO - Epoch(train) [199][300/3757] lr: 1.2140e-02 eta: 17:46:07 time: 0.2919 data_time: 0.0180 memory: 6332 grad_norm: 4.6200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3269 loss: 2.3269 2022/08/19 08:43:14 - mmengine - INFO - Epoch(train) [199][400/3757] lr: 1.2140e-02 eta: 17:45:36 time: 0.2857 data_time: 0.0167 memory: 6332 grad_norm: 4.5462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/08/19 08:43:43 - mmengine - INFO - Epoch(train) [199][500/3757] lr: 1.2140e-02 eta: 17:45:06 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 4.8362 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2472 loss: 2.2472 2022/08/19 08:44:12 - mmengine - INFO - Epoch(train) [199][600/3757] lr: 1.2140e-02 eta: 17:44:36 time: 0.2892 data_time: 0.0192 memory: 6332 grad_norm: 4.7854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5541 loss: 2.5541 2022/08/19 08:44:41 - mmengine - INFO - Epoch(train) [199][700/3757] lr: 1.2140e-02 eta: 17:44:05 time: 0.2881 data_time: 0.0167 memory: 6332 grad_norm: 4.6129 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1700 loss: 2.1700 2022/08/19 08:45:11 - mmengine - INFO - Epoch(train) [199][800/3757] lr: 1.2140e-02 eta: 17:43:35 time: 0.2950 data_time: 0.0170 memory: 6332 grad_norm: 4.8964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2249 loss: 2.2249 2022/08/19 08:45:40 - mmengine - INFO - Epoch(train) [199][900/3757] lr: 1.2140e-02 eta: 17:43:05 time: 0.2854 data_time: 0.0162 memory: 6332 grad_norm: 4.7871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2914 loss: 2.2914 2022/08/19 08:46:09 - mmengine - INFO - Epoch(train) [199][1000/3757] lr: 1.2140e-02 eta: 17:42:35 time: 0.2908 data_time: 0.0195 memory: 6332 grad_norm: 4.7947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0278 loss: 2.0278 2022/08/19 08:46:38 - mmengine - INFO - Epoch(train) [199][1100/3757] lr: 1.2140e-02 eta: 17:42:05 time: 0.2863 data_time: 0.0169 memory: 6332 grad_norm: 4.6500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1101 loss: 2.1101 2022/08/19 08:46:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:47:07 - mmengine - INFO - Epoch(train) [199][1200/3757] lr: 1.2140e-02 eta: 17:41:35 time: 0.2883 data_time: 0.0166 memory: 6332 grad_norm: 4.7223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1094 loss: 2.1094 2022/08/19 08:47:36 - mmengine - INFO - Epoch(train) [199][1300/3757] lr: 1.2140e-02 eta: 17:41:04 time: 0.2871 data_time: 0.0174 memory: 6332 grad_norm: 4.8374 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3077 loss: 2.3077 2022/08/19 08:48:05 - mmengine - INFO - Epoch(train) [199][1400/3757] lr: 1.2140e-02 eta: 17:40:34 time: 0.2867 data_time: 0.0161 memory: 6332 grad_norm: 4.7291 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/08/19 08:48:35 - mmengine - INFO - Epoch(train) [199][1500/3757] lr: 1.2140e-02 eta: 17:40:04 time: 0.2872 data_time: 0.0170 memory: 6332 grad_norm: 4.6418 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3938 loss: 2.3938 2022/08/19 08:49:04 - mmengine - INFO - Epoch(train) [199][1600/3757] lr: 1.2140e-02 eta: 17:39:34 time: 0.2867 data_time: 0.0177 memory: 6332 grad_norm: 4.7337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3853 loss: 2.3853 2022/08/19 08:49:33 - mmengine - INFO - Epoch(train) [199][1700/3757] lr: 1.2140e-02 eta: 17:39:04 time: 0.2873 data_time: 0.0172 memory: 6332 grad_norm: 4.7672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1447 loss: 2.1447 2022/08/19 08:50:02 - mmengine - INFO - Epoch(train) [199][1800/3757] lr: 1.2140e-02 eta: 17:38:34 time: 0.2924 data_time: 0.0178 memory: 6332 grad_norm: 4.6976 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9841 loss: 1.9841 2022/08/19 08:50:31 - mmengine - INFO - Epoch(train) [199][1900/3757] lr: 1.2140e-02 eta: 17:38:04 time: 0.2898 data_time: 0.0180 memory: 6332 grad_norm: 4.7718 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4156 loss: 2.4156 2022/08/19 08:51:00 - mmengine - INFO - Epoch(train) [199][2000/3757] lr: 1.2140e-02 eta: 17:37:34 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 4.6813 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2838 loss: 2.2838 2022/08/19 08:51:29 - mmengine - INFO - Epoch(train) [199][2100/3757] lr: 1.2140e-02 eta: 17:37:03 time: 0.2873 data_time: 0.0163 memory: 6332 grad_norm: 4.7339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9561 loss: 1.9561 2022/08/19 08:51:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:51:58 - mmengine - INFO - Epoch(train) [199][2200/3757] lr: 1.2140e-02 eta: 17:36:33 time: 0.2937 data_time: 0.0185 memory: 6332 grad_norm: 4.8577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/08/19 08:52:27 - mmengine - INFO - Epoch(train) [199][2300/3757] lr: 1.2140e-02 eta: 17:36:03 time: 0.2867 data_time: 0.0178 memory: 6332 grad_norm: 4.6457 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2827 loss: 2.2827 2022/08/19 08:52:56 - mmengine - INFO - Epoch(train) [199][2400/3757] lr: 1.2140e-02 eta: 17:35:32 time: 0.2861 data_time: 0.0177 memory: 6332 grad_norm: 4.7344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1749 loss: 2.1749 2022/08/19 08:53:25 - mmengine - INFO - Epoch(train) [199][2500/3757] lr: 1.2140e-02 eta: 17:35:02 time: 0.2850 data_time: 0.0157 memory: 6332 grad_norm: 4.7450 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1606 loss: 2.1606 2022/08/19 08:53:55 - mmengine - INFO - Epoch(train) [199][2600/3757] lr: 1.2140e-02 eta: 17:34:32 time: 0.2861 data_time: 0.0172 memory: 6332 grad_norm: 4.5689 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0665 loss: 2.0665 2022/08/19 08:54:24 - mmengine - INFO - Epoch(train) [199][2700/3757] lr: 1.2140e-02 eta: 17:34:02 time: 0.2860 data_time: 0.0188 memory: 6332 grad_norm: 4.7111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0727 loss: 2.0727 2022/08/19 08:54:53 - mmengine - INFO - Epoch(train) [199][2800/3757] lr: 1.2140e-02 eta: 17:33:32 time: 0.2868 data_time: 0.0163 memory: 6332 grad_norm: 4.6826 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3729 loss: 2.3729 2022/08/19 08:55:22 - mmengine - INFO - Epoch(train) [199][2900/3757] lr: 1.2140e-02 eta: 17:33:02 time: 0.2912 data_time: 0.0189 memory: 6332 grad_norm: 4.5300 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1274 loss: 2.1274 2022/08/19 08:55:51 - mmengine - INFO - Epoch(train) [199][3000/3757] lr: 1.2140e-02 eta: 17:32:32 time: 0.2880 data_time: 0.0175 memory: 6332 grad_norm: 4.5842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2443 loss: 2.2443 2022/08/19 08:56:21 - mmengine - INFO - Epoch(train) [199][3100/3757] lr: 1.2140e-02 eta: 17:32:02 time: 0.2930 data_time: 0.0179 memory: 6332 grad_norm: 4.8183 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1473 loss: 2.1473 2022/08/19 08:56:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:56:50 - mmengine - INFO - Epoch(train) [199][3200/3757] lr: 1.2140e-02 eta: 17:31:32 time: 0.2866 data_time: 0.0174 memory: 6332 grad_norm: 4.6769 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2528 loss: 2.2528 2022/08/19 08:57:19 - mmengine - INFO - Epoch(train) [199][3300/3757] lr: 1.2140e-02 eta: 17:31:02 time: 0.2919 data_time: 0.0185 memory: 6332 grad_norm: 4.7332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3854 loss: 2.3854 2022/08/19 08:57:48 - mmengine - INFO - Epoch(train) [199][3400/3757] lr: 1.2140e-02 eta: 17:30:32 time: 0.2876 data_time: 0.0174 memory: 6332 grad_norm: 4.8282 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4857 loss: 2.4857 2022/08/19 08:58:17 - mmengine - INFO - Epoch(train) [199][3500/3757] lr: 1.2140e-02 eta: 17:30:01 time: 0.2884 data_time: 0.0177 memory: 6332 grad_norm: 4.5642 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2517 loss: 2.2517 2022/08/19 08:58:46 - mmengine - INFO - Epoch(train) [199][3600/3757] lr: 1.2140e-02 eta: 17:29:31 time: 0.2855 data_time: 0.0169 memory: 6332 grad_norm: 4.6849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5642 loss: 2.5642 2022/08/19 08:59:15 - mmengine - INFO - Epoch(train) [199][3700/3757] lr: 1.2140e-02 eta: 17:29:01 time: 0.2862 data_time: 0.0161 memory: 6332 grad_norm: 4.7244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1253 loss: 2.1253 2022/08/19 08:59:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 08:59:31 - mmengine - INFO - Epoch(train) [199][3757/3757] lr: 1.2140e-02 eta: 17:28:49 time: 0.2681 data_time: 0.0160 memory: 6332 grad_norm: 4.7808 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 2.4204 loss: 2.4204 2022/08/19 09:00:03 - mmengine - INFO - Epoch(train) [200][100/3757] lr: 1.1742e-02 eta: 17:28:09 time: 0.2887 data_time: 0.0177 memory: 6332 grad_norm: 4.7365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9855 loss: 1.9855 2022/08/19 09:00:32 - mmengine - INFO - Epoch(train) [200][200/3757] lr: 1.1742e-02 eta: 17:27:39 time: 0.2906 data_time: 0.0173 memory: 6332 grad_norm: 4.6443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0564 loss: 2.0564 2022/08/19 09:01:01 - mmengine - INFO - Epoch(train) [200][300/3757] lr: 1.1742e-02 eta: 17:27:08 time: 0.2894 data_time: 0.0182 memory: 6332 grad_norm: 4.7259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8609 loss: 1.8609 2022/08/19 09:01:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:01:30 - mmengine - INFO - Epoch(train) [200][400/3757] lr: 1.1742e-02 eta: 17:26:38 time: 0.2873 data_time: 0.0170 memory: 6332 grad_norm: 4.7182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9456 loss: 1.9456 2022/08/19 09:01:59 - mmengine - INFO - Epoch(train) [200][500/3757] lr: 1.1742e-02 eta: 17:26:08 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 4.6665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1920 loss: 2.1920 2022/08/19 09:02:28 - mmengine - INFO - Epoch(train) [200][600/3757] lr: 1.1742e-02 eta: 17:25:38 time: 0.2869 data_time: 0.0171 memory: 6332 grad_norm: 4.6882 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0927 loss: 2.0927 2022/08/19 09:02:57 - mmengine - INFO - Epoch(train) [200][700/3757] lr: 1.1742e-02 eta: 17:25:08 time: 0.2881 data_time: 0.0161 memory: 6332 grad_norm: 4.8114 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2596 loss: 2.2596 2022/08/19 09:03:26 - mmengine - INFO - Epoch(train) [200][800/3757] lr: 1.1742e-02 eta: 17:24:38 time: 0.2870 data_time: 0.0168 memory: 6332 grad_norm: 4.6239 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1146 loss: 2.1146 2022/08/19 09:03:55 - mmengine - INFO - Epoch(train) [200][900/3757] lr: 1.1742e-02 eta: 17:24:08 time: 0.2876 data_time: 0.0173 memory: 6332 grad_norm: 4.7920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0823 loss: 2.0823 2022/08/19 09:04:25 - mmengine - INFO - Epoch(train) [200][1000/3757] lr: 1.1742e-02 eta: 17:23:37 time: 0.2883 data_time: 0.0173 memory: 6332 grad_norm: 4.8145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1323 loss: 2.1323 2022/08/19 09:04:54 - mmengine - INFO - Epoch(train) [200][1100/3757] lr: 1.1742e-02 eta: 17:23:07 time: 0.2908 data_time: 0.0182 memory: 6332 grad_norm: 4.8570 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2327 loss: 2.2327 2022/08/19 09:05:23 - mmengine - INFO - Epoch(train) [200][1200/3757] lr: 1.1742e-02 eta: 17:22:37 time: 0.2874 data_time: 0.0181 memory: 6332 grad_norm: 4.7675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/08/19 09:05:52 - mmengine - INFO - Epoch(train) [200][1300/3757] lr: 1.1742e-02 eta: 17:22:07 time: 0.2972 data_time: 0.0174 memory: 6332 grad_norm: 4.7737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2659 loss: 2.2659 2022/08/19 09:06:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:06:21 - mmengine - INFO - Epoch(train) [200][1400/3757] lr: 1.1742e-02 eta: 17:21:37 time: 0.2875 data_time: 0.0165 memory: 6332 grad_norm: 4.6119 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/08/19 09:06:52 - mmengine - INFO - Epoch(train) [200][1500/3757] lr: 1.1742e-02 eta: 17:21:11 time: 0.3074 data_time: 0.0170 memory: 6332 grad_norm: 4.9503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/08/19 09:07:24 - mmengine - INFO - Epoch(train) [200][1600/3757] lr: 1.1742e-02 eta: 17:20:45 time: 0.2870 data_time: 0.0183 memory: 6332 grad_norm: 4.7271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4504 loss: 2.4504 2022/08/19 09:07:54 - mmengine - INFO - Epoch(train) [200][1700/3757] lr: 1.1742e-02 eta: 17:20:15 time: 0.2930 data_time: 0.0195 memory: 6332 grad_norm: 4.6339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1729 loss: 2.1729 2022/08/19 09:08:23 - mmengine - INFO - Epoch(train) [200][1800/3757] lr: 1.1742e-02 eta: 17:19:45 time: 0.2878 data_time: 0.0171 memory: 6332 grad_norm: 4.9281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2540 loss: 2.2540 2022/08/19 09:08:52 - mmengine - INFO - Epoch(train) [200][1900/3757] lr: 1.1742e-02 eta: 17:19:15 time: 0.2931 data_time: 0.0170 memory: 6332 grad_norm: 4.7439 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1627 loss: 2.1627 2022/08/19 09:09:21 - mmengine - INFO - Epoch(train) [200][2000/3757] lr: 1.1742e-02 eta: 17:18:45 time: 0.2867 data_time: 0.0166 memory: 6332 grad_norm: 4.8080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2308 loss: 2.2308 2022/08/19 09:09:50 - mmengine - INFO - Epoch(train) [200][2100/3757] lr: 1.1742e-02 eta: 17:18:15 time: 0.2989 data_time: 0.0181 memory: 6332 grad_norm: 4.8319 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6376 loss: 2.6376 2022/08/19 09:10:19 - mmengine - INFO - Epoch(train) [200][2200/3757] lr: 1.1742e-02 eta: 17:17:45 time: 0.2874 data_time: 0.0169 memory: 6332 grad_norm: 4.7524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2248 loss: 2.2248 2022/08/19 09:10:48 - mmengine - INFO - Epoch(train) [200][2300/3757] lr: 1.1742e-02 eta: 17:17:14 time: 0.2858 data_time: 0.0169 memory: 6332 grad_norm: 4.8246 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2813 loss: 2.2813 2022/08/19 09:11:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:11:17 - mmengine - INFO - Epoch(train) [200][2400/3757] lr: 1.1742e-02 eta: 17:16:44 time: 0.2871 data_time: 0.0179 memory: 6332 grad_norm: 4.7869 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4161 loss: 2.4161 2022/08/19 09:11:46 - mmengine - INFO - Epoch(train) [200][2500/3757] lr: 1.1742e-02 eta: 17:16:14 time: 0.2871 data_time: 0.0169 memory: 6332 grad_norm: 4.7463 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.0985 loss: 2.0985 2022/08/19 09:12:15 - mmengine - INFO - Epoch(train) [200][2600/3757] lr: 1.1742e-02 eta: 17:15:44 time: 0.2903 data_time: 0.0201 memory: 6332 grad_norm: 4.7879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3487 loss: 2.3487 2022/08/19 09:12:45 - mmengine - INFO - Epoch(train) [200][2700/3757] lr: 1.1742e-02 eta: 17:15:14 time: 0.2876 data_time: 0.0179 memory: 6332 grad_norm: 4.7411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2813 loss: 2.2813 2022/08/19 09:13:14 - mmengine - INFO - Epoch(train) [200][2800/3757] lr: 1.1742e-02 eta: 17:14:44 time: 0.2942 data_time: 0.0195 memory: 6332 grad_norm: 4.8503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9615 loss: 1.9615 2022/08/19 09:13:43 - mmengine - INFO - Epoch(train) [200][2900/3757] lr: 1.1742e-02 eta: 17:14:14 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 4.7509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/08/19 09:14:12 - mmengine - INFO - Epoch(train) [200][3000/3757] lr: 1.1742e-02 eta: 17:13:43 time: 0.2919 data_time: 0.0182 memory: 6332 grad_norm: 4.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7915 loss: 1.7915 2022/08/19 09:14:41 - mmengine - INFO - Epoch(train) [200][3100/3757] lr: 1.1742e-02 eta: 17:13:14 time: 0.2861 data_time: 0.0166 memory: 6332 grad_norm: 4.7516 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9903 loss: 1.9903 2022/08/19 09:15:10 - mmengine - INFO - Epoch(train) [200][3200/3757] lr: 1.1742e-02 eta: 17:12:44 time: 0.2938 data_time: 0.0169 memory: 6332 grad_norm: 4.8985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9068 loss: 1.9068 2022/08/19 09:15:40 - mmengine - INFO - Epoch(train) [200][3300/3757] lr: 1.1742e-02 eta: 17:12:14 time: 0.2872 data_time: 0.0172 memory: 6332 grad_norm: 4.7141 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2920 loss: 2.2920 2022/08/19 09:15:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:16:09 - mmengine - INFO - Epoch(train) [200][3400/3757] lr: 1.1742e-02 eta: 17:11:43 time: 0.2878 data_time: 0.0176 memory: 6332 grad_norm: 4.8883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3021 loss: 2.3021 2022/08/19 09:16:38 - mmengine - INFO - Epoch(train) [200][3500/3757] lr: 1.1742e-02 eta: 17:11:13 time: 0.2865 data_time: 0.0176 memory: 6332 grad_norm: 4.7589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5221 loss: 2.5221 2022/08/19 09:17:07 - mmengine - INFO - Epoch(train) [200][3600/3757] lr: 1.1742e-02 eta: 17:10:43 time: 0.2879 data_time: 0.0175 memory: 6332 grad_norm: 4.8629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3259 loss: 2.3259 2022/08/19 09:17:36 - mmengine - INFO - Epoch(train) [200][3700/3757] lr: 1.1742e-02 eta: 17:10:13 time: 0.2869 data_time: 0.0169 memory: 6332 grad_norm: 4.7371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/08/19 09:17:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:17:53 - mmengine - INFO - Epoch(train) [200][3757/3757] lr: 1.1742e-02 eta: 17:10:01 time: 0.2783 data_time: 0.0176 memory: 6332 grad_norm: 4.5440 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0701 loss: 2.0701 2022/08/19 09:17:53 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/19 09:18:19 - mmengine - INFO - Epoch(val) [200][100/310] eta: 0:00:44 time: 0.2106 data_time: 0.1162 memory: 1147 2022/08/19 09:18:39 - mmengine - INFO - Epoch(val) [200][200/310] eta: 0:00:19 time: 0.1799 data_time: 0.0840 memory: 1147 2022/08/19 09:18:59 - mmengine - INFO - Epoch(val) [200][300/310] eta: 0:00:01 time: 0.1393 data_time: 0.0619 memory: 1147 2022/08/19 09:19:01 - mmengine - INFO - Epoch(val) [200][310/310] acc/top1: 0.5755 acc/top5: 0.8127 acc/mean1: 0.5754 2022/08/19 09:19:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_196.pth is removed 2022/08/19 09:19:04 - mmengine - INFO - The best checkpoint with 0.5755 acc/top1 at 201 epoch is saved to best_acc/top1_epoch_201.pth. 2022/08/19 09:19:34 - mmengine - INFO - Epoch(train) [201][100/3757] lr: 1.1349e-02 eta: 17:09:20 time: 0.2885 data_time: 0.0178 memory: 6332 grad_norm: 4.7997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0710 loss: 2.0710 2022/08/19 09:20:03 - mmengine - INFO - Epoch(train) [201][200/3757] lr: 1.1349e-02 eta: 17:08:50 time: 0.2917 data_time: 0.0186 memory: 6332 grad_norm: 4.6580 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1506 loss: 2.1506 2022/08/19 09:20:32 - mmengine - INFO - Epoch(train) [201][300/3757] lr: 1.1349e-02 eta: 17:08:19 time: 0.2887 data_time: 0.0179 memory: 6332 grad_norm: 4.6955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/08/19 09:21:01 - mmengine - INFO - Epoch(train) [201][400/3757] lr: 1.1349e-02 eta: 17:07:49 time: 0.2861 data_time: 0.0165 memory: 6332 grad_norm: 4.6946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1209 loss: 2.1209 2022/08/19 09:21:30 - mmengine - INFO - Epoch(train) [201][500/3757] lr: 1.1349e-02 eta: 17:07:19 time: 0.2890 data_time: 0.0174 memory: 6332 grad_norm: 4.8606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9029 loss: 1.9029 2022/08/19 09:21:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:21:59 - mmengine - INFO - Epoch(train) [201][600/3757] lr: 1.1349e-02 eta: 17:06:49 time: 0.2885 data_time: 0.0169 memory: 6332 grad_norm: 4.9752 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1531 loss: 2.1531 2022/08/19 09:22:29 - mmengine - INFO - Epoch(train) [201][700/3757] lr: 1.1349e-02 eta: 17:06:19 time: 0.2878 data_time: 0.0174 memory: 6332 grad_norm: 4.7396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2411 loss: 2.2411 2022/08/19 09:22:58 - mmengine - INFO - Epoch(train) [201][800/3757] lr: 1.1349e-02 eta: 17:05:49 time: 0.2860 data_time: 0.0166 memory: 6332 grad_norm: 4.8033 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0918 loss: 2.0918 2022/08/19 09:23:27 - mmengine - INFO - Epoch(train) [201][900/3757] lr: 1.1349e-02 eta: 17:05:19 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 4.8336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1874 loss: 2.1874 2022/08/19 09:23:56 - mmengine - INFO - Epoch(train) [201][1000/3757] lr: 1.1349e-02 eta: 17:04:49 time: 0.2889 data_time: 0.0180 memory: 6332 grad_norm: 4.8052 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/08/19 09:24:25 - mmengine - INFO - Epoch(train) [201][1100/3757] lr: 1.1349e-02 eta: 17:04:19 time: 0.2886 data_time: 0.0176 memory: 6332 grad_norm: 4.8176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2820 loss: 2.2820 2022/08/19 09:24:54 - mmengine - INFO - Epoch(train) [201][1200/3757] lr: 1.1349e-02 eta: 17:03:49 time: 0.2880 data_time: 0.0181 memory: 6332 grad_norm: 4.8009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2965 loss: 2.2965 2022/08/19 09:25:23 - mmengine - INFO - Epoch(train) [201][1300/3757] lr: 1.1349e-02 eta: 17:03:19 time: 0.2900 data_time: 0.0177 memory: 6332 grad_norm: 4.5985 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1805 loss: 2.1805 2022/08/19 09:25:53 - mmengine - INFO - Epoch(train) [201][1400/3757] lr: 1.1349e-02 eta: 17:02:49 time: 0.2911 data_time: 0.0192 memory: 6332 grad_norm: 4.8054 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0798 loss: 2.0798 2022/08/19 09:26:22 - mmengine - INFO - Epoch(train) [201][1500/3757] lr: 1.1349e-02 eta: 17:02:19 time: 0.2992 data_time: 0.0180 memory: 6332 grad_norm: 4.7944 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0775 loss: 2.0775 2022/08/19 09:26:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:26:51 - mmengine - INFO - Epoch(train) [201][1600/3757] lr: 1.1349e-02 eta: 17:01:49 time: 0.2879 data_time: 0.0166 memory: 6332 grad_norm: 4.9904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3511 loss: 2.3511 2022/08/19 09:27:20 - mmengine - INFO - Epoch(train) [201][1700/3757] lr: 1.1349e-02 eta: 17:01:19 time: 0.2875 data_time: 0.0175 memory: 6332 grad_norm: 4.8172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7323 loss: 1.7323 2022/08/19 09:27:49 - mmengine - INFO - Epoch(train) [201][1800/3757] lr: 1.1349e-02 eta: 17:00:49 time: 0.2880 data_time: 0.0172 memory: 6332 grad_norm: 4.8811 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3528 loss: 2.3528 2022/08/19 09:28:18 - mmengine - INFO - Epoch(train) [201][1900/3757] lr: 1.1349e-02 eta: 17:00:19 time: 0.2911 data_time: 0.0180 memory: 6332 grad_norm: 4.8550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0593 loss: 2.0593 2022/08/19 09:28:47 - mmengine - INFO - Epoch(train) [201][2000/3757] lr: 1.1349e-02 eta: 16:59:49 time: 0.2867 data_time: 0.0161 memory: 6332 grad_norm: 4.8585 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2597 loss: 2.2597 2022/08/19 09:29:17 - mmengine - INFO - Epoch(train) [201][2100/3757] lr: 1.1349e-02 eta: 16:59:19 time: 0.2891 data_time: 0.0185 memory: 6332 grad_norm: 4.8659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9913 loss: 1.9913 2022/08/19 09:29:46 - mmengine - INFO - Epoch(train) [201][2200/3757] lr: 1.1349e-02 eta: 16:58:49 time: 0.2903 data_time: 0.0198 memory: 6332 grad_norm: 4.9081 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9804 loss: 1.9804 2022/08/19 09:30:15 - mmengine - INFO - Epoch(train) [201][2300/3757] lr: 1.1349e-02 eta: 16:58:19 time: 0.2871 data_time: 0.0169 memory: 6332 grad_norm: 4.7262 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3466 loss: 2.3466 2022/08/19 09:30:44 - mmengine - INFO - Epoch(train) [201][2400/3757] lr: 1.1349e-02 eta: 16:57:48 time: 0.2882 data_time: 0.0165 memory: 6332 grad_norm: 4.8601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0930 loss: 2.0930 2022/08/19 09:31:13 - mmengine - INFO - Epoch(train) [201][2500/3757] lr: 1.1349e-02 eta: 16:57:18 time: 0.2884 data_time: 0.0173 memory: 6332 grad_norm: 4.7605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1266 loss: 2.1266 2022/08/19 09:31:42 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:31:42 - mmengine - INFO - Epoch(train) [201][2600/3757] lr: 1.1349e-02 eta: 16:56:49 time: 0.2938 data_time: 0.0211 memory: 6332 grad_norm: 4.8090 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1981 loss: 2.1981 2022/08/19 09:32:12 - mmengine - INFO - Epoch(train) [201][2700/3757] lr: 1.1349e-02 eta: 16:56:19 time: 0.2881 data_time: 0.0171 memory: 6332 grad_norm: 4.6273 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2557 loss: 2.2557 2022/08/19 09:32:41 - mmengine - INFO - Epoch(train) [201][2800/3757] lr: 1.1349e-02 eta: 16:55:50 time: 0.2872 data_time: 0.0180 memory: 6332 grad_norm: 4.7402 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5756 loss: 2.5756 2022/08/19 09:33:10 - mmengine - INFO - Epoch(train) [201][2900/3757] lr: 1.1349e-02 eta: 16:55:20 time: 0.2878 data_time: 0.0175 memory: 6332 grad_norm: 4.9546 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2919 loss: 2.2919 2022/08/19 09:33:39 - mmengine - INFO - Epoch(train) [201][3000/3757] lr: 1.1349e-02 eta: 16:54:50 time: 0.2868 data_time: 0.0172 memory: 6332 grad_norm: 4.9941 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0414 loss: 2.0414 2022/08/19 09:34:09 - mmengine - INFO - Epoch(train) [201][3100/3757] lr: 1.1349e-02 eta: 16:54:20 time: 0.2878 data_time: 0.0171 memory: 6332 grad_norm: 4.9011 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3473 loss: 2.3473 2022/08/19 09:34:38 - mmengine - INFO - Epoch(train) [201][3200/3757] lr: 1.1349e-02 eta: 16:53:50 time: 0.2875 data_time: 0.0167 memory: 6332 grad_norm: 4.7348 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5156 loss: 2.5156 2022/08/19 09:35:07 - mmengine - INFO - Epoch(train) [201][3300/3757] lr: 1.1349e-02 eta: 16:53:20 time: 0.2966 data_time: 0.0191 memory: 6332 grad_norm: 4.8432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4604 loss: 2.4604 2022/08/19 09:35:36 - mmengine - INFO - Epoch(train) [201][3400/3757] lr: 1.1349e-02 eta: 16:52:50 time: 0.2876 data_time: 0.0164 memory: 6332 grad_norm: 4.7638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9896 loss: 1.9896 2022/08/19 09:36:05 - mmengine - INFO - Epoch(train) [201][3500/3757] lr: 1.1349e-02 eta: 16:52:20 time: 0.2907 data_time: 0.0180 memory: 6332 grad_norm: 4.8461 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0232 loss: 2.0232 2022/08/19 09:36:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:36:35 - mmengine - INFO - Epoch(train) [201][3600/3757] lr: 1.1349e-02 eta: 16:51:50 time: 0.2875 data_time: 0.0175 memory: 6332 grad_norm: 4.7841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1383 loss: 2.1383 2022/08/19 09:37:04 - mmengine - INFO - Epoch(train) [201][3700/3757] lr: 1.1349e-02 eta: 16:51:20 time: 0.2908 data_time: 0.0182 memory: 6332 grad_norm: 4.9678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2318 loss: 2.2318 2022/08/19 09:37:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:37:20 - mmengine - INFO - Epoch(train) [201][3757/3757] lr: 1.1349e-02 eta: 16:51:08 time: 0.2693 data_time: 0.0155 memory: 6332 grad_norm: 4.9683 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1107 loss: 2.1107 2022/08/19 09:37:52 - mmengine - INFO - Epoch(train) [202][100/3757] lr: 1.0963e-02 eta: 16:50:29 time: 0.2870 data_time: 0.0168 memory: 6332 grad_norm: 4.7563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2994 loss: 2.2994 2022/08/19 09:38:21 - mmengine - INFO - Epoch(train) [202][200/3757] lr: 1.0963e-02 eta: 16:50:00 time: 0.2878 data_time: 0.0182 memory: 6332 grad_norm: 4.7653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2687 loss: 2.2687 2022/08/19 09:38:50 - mmengine - INFO - Epoch(train) [202][300/3757] lr: 1.0963e-02 eta: 16:49:30 time: 0.2872 data_time: 0.0163 memory: 6332 grad_norm: 4.6571 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/08/19 09:39:19 - mmengine - INFO - Epoch(train) [202][400/3757] lr: 1.0963e-02 eta: 16:49:00 time: 0.2867 data_time: 0.0167 memory: 6332 grad_norm: 4.6508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6351 loss: 1.6351 2022/08/19 09:39:48 - mmengine - INFO - Epoch(train) [202][500/3757] lr: 1.0963e-02 eta: 16:48:30 time: 0.2874 data_time: 0.0199 memory: 6332 grad_norm: 4.8725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2460 loss: 2.2460 2022/08/19 09:40:17 - mmengine - INFO - Epoch(train) [202][600/3757] lr: 1.0963e-02 eta: 16:48:00 time: 0.2902 data_time: 0.0184 memory: 6332 grad_norm: 5.0757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0878 loss: 2.0878 2022/08/19 09:40:47 - mmengine - INFO - Epoch(train) [202][700/3757] lr: 1.0963e-02 eta: 16:47:30 time: 0.2878 data_time: 0.0176 memory: 6332 grad_norm: 4.8232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/08/19 09:41:16 - mmengine - INFO - Epoch(train) [202][800/3757] lr: 1.0963e-02 eta: 16:47:00 time: 0.2899 data_time: 0.0171 memory: 6332 grad_norm: 4.8348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4647 loss: 2.4647 2022/08/19 09:41:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:41:45 - mmengine - INFO - Epoch(train) [202][900/3757] lr: 1.0963e-02 eta: 16:46:30 time: 0.2902 data_time: 0.0179 memory: 6332 grad_norm: 4.8540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1097 loss: 2.1097 2022/08/19 09:42:14 - mmengine - INFO - Epoch(train) [202][1000/3757] lr: 1.0963e-02 eta: 16:45:59 time: 0.2870 data_time: 0.0181 memory: 6332 grad_norm: 4.9730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4680 loss: 2.4680 2022/08/19 09:42:43 - mmengine - INFO - Epoch(train) [202][1100/3757] lr: 1.0963e-02 eta: 16:45:29 time: 0.2860 data_time: 0.0165 memory: 6332 grad_norm: 4.7941 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0202 loss: 2.0202 2022/08/19 09:43:12 - mmengine - INFO - Epoch(train) [202][1200/3757] lr: 1.0963e-02 eta: 16:44:59 time: 0.2876 data_time: 0.0181 memory: 6332 grad_norm: 4.9256 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3173 loss: 2.3173 2022/08/19 09:43:41 - mmengine - INFO - Epoch(train) [202][1300/3757] lr: 1.0963e-02 eta: 16:44:29 time: 0.2854 data_time: 0.0170 memory: 6332 grad_norm: 5.0012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0611 loss: 2.0611 2022/08/19 09:44:10 - mmengine - INFO - Epoch(train) [202][1400/3757] lr: 1.0963e-02 eta: 16:43:59 time: 0.2868 data_time: 0.0179 memory: 6332 grad_norm: 4.7139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2099 loss: 2.2099 2022/08/19 09:44:39 - mmengine - INFO - Epoch(train) [202][1500/3757] lr: 1.0963e-02 eta: 16:43:29 time: 0.2874 data_time: 0.0174 memory: 6332 grad_norm: 4.8817 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3623 loss: 2.3623 2022/08/19 09:45:08 - mmengine - INFO - Epoch(train) [202][1600/3757] lr: 1.0963e-02 eta: 16:42:59 time: 0.2881 data_time: 0.0175 memory: 6332 grad_norm: 4.9301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3313 loss: 2.3313 2022/08/19 09:45:37 - mmengine - INFO - Epoch(train) [202][1700/3757] lr: 1.0963e-02 eta: 16:42:29 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 4.8537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3074 loss: 2.3074 2022/08/19 09:46:06 - mmengine - INFO - Epoch(train) [202][1800/3757] lr: 1.0963e-02 eta: 16:41:59 time: 0.2939 data_time: 0.0175 memory: 6332 grad_norm: 4.8386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0572 loss: 2.0572 2022/08/19 09:46:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:46:35 - mmengine - INFO - Epoch(train) [202][1900/3757] lr: 1.0963e-02 eta: 16:41:29 time: 0.2876 data_time: 0.0163 memory: 6332 grad_norm: 4.8393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/08/19 09:47:04 - mmengine - INFO - Epoch(train) [202][2000/3757] lr: 1.0963e-02 eta: 16:40:59 time: 0.2917 data_time: 0.0181 memory: 6332 grad_norm: 4.6122 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9418 loss: 1.9418 2022/08/19 09:47:34 - mmengine - INFO - Epoch(train) [202][2100/3757] lr: 1.0963e-02 eta: 16:40:29 time: 0.2881 data_time: 0.0180 memory: 6332 grad_norm: 4.8554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1746 loss: 2.1746 2022/08/19 09:48:03 - mmengine - INFO - Epoch(train) [202][2200/3757] lr: 1.0963e-02 eta: 16:39:59 time: 0.2898 data_time: 0.0188 memory: 6332 grad_norm: 4.7907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8725 loss: 1.8725 2022/08/19 09:48:32 - mmengine - INFO - Epoch(train) [202][2300/3757] lr: 1.0963e-02 eta: 16:39:29 time: 0.2871 data_time: 0.0174 memory: 6332 grad_norm: 4.9455 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1793 loss: 2.1793 2022/08/19 09:49:01 - mmengine - INFO - Epoch(train) [202][2400/3757] lr: 1.0963e-02 eta: 16:38:59 time: 0.2864 data_time: 0.0172 memory: 6332 grad_norm: 4.9713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2190 loss: 2.2190 2022/08/19 09:49:30 - mmengine - INFO - Epoch(train) [202][2500/3757] lr: 1.0963e-02 eta: 16:38:29 time: 0.2876 data_time: 0.0167 memory: 6332 grad_norm: 4.8887 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3450 loss: 2.3450 2022/08/19 09:49:59 - mmengine - INFO - Epoch(train) [202][2600/3757] lr: 1.0963e-02 eta: 16:37:59 time: 0.2875 data_time: 0.0168 memory: 6332 grad_norm: 4.8411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1092 loss: 2.1092 2022/08/19 09:50:28 - mmengine - INFO - Epoch(train) [202][2700/3757] lr: 1.0963e-02 eta: 16:37:29 time: 0.2856 data_time: 0.0173 memory: 6332 grad_norm: 4.8925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/08/19 09:50:57 - mmengine - INFO - Epoch(train) [202][2800/3757] lr: 1.0963e-02 eta: 16:36:59 time: 0.2911 data_time: 0.0176 memory: 6332 grad_norm: 4.9610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1301 loss: 2.1301 2022/08/19 09:51:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:51:27 - mmengine - INFO - Epoch(train) [202][2900/3757] lr: 1.0963e-02 eta: 16:36:29 time: 0.2931 data_time: 0.0173 memory: 6332 grad_norm: 4.7785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9397 loss: 1.9397 2022/08/19 09:51:56 - mmengine - INFO - Epoch(train) [202][3000/3757] lr: 1.0963e-02 eta: 16:36:00 time: 0.2910 data_time: 0.0173 memory: 6332 grad_norm: 4.7548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9205 loss: 1.9205 2022/08/19 09:52:26 - mmengine - INFO - Epoch(train) [202][3100/3757] lr: 1.0963e-02 eta: 16:35:31 time: 0.2924 data_time: 0.0203 memory: 6332 grad_norm: 4.7778 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9437 loss: 1.9437 2022/08/19 09:52:57 - mmengine - INFO - Epoch(train) [202][3200/3757] lr: 1.0963e-02 eta: 16:35:03 time: 0.2916 data_time: 0.0186 memory: 6332 grad_norm: 4.7996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2742 loss: 2.2742 2022/08/19 09:53:26 - mmengine - INFO - Epoch(train) [202][3300/3757] lr: 1.0963e-02 eta: 16:34:33 time: 0.2938 data_time: 0.0170 memory: 6332 grad_norm: 4.9488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9448 loss: 1.9448 2022/08/19 09:53:55 - mmengine - INFO - Epoch(train) [202][3400/3757] lr: 1.0963e-02 eta: 16:34:04 time: 0.2942 data_time: 0.0178 memory: 6332 grad_norm: 4.7597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1455 loss: 2.1455 2022/08/19 09:54:24 - mmengine - INFO - Epoch(train) [202][3500/3757] lr: 1.0963e-02 eta: 16:33:34 time: 0.2875 data_time: 0.0168 memory: 6332 grad_norm: 4.9782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4213 loss: 2.4213 2022/08/19 09:54:53 - mmengine - INFO - Epoch(train) [202][3600/3757] lr: 1.0963e-02 eta: 16:33:04 time: 0.2874 data_time: 0.0163 memory: 6332 grad_norm: 4.8100 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2397 loss: 2.2397 2022/08/19 09:55:23 - mmengine - INFO - Epoch(train) [202][3700/3757] lr: 1.0963e-02 eta: 16:32:34 time: 0.2863 data_time: 0.0160 memory: 6332 grad_norm: 5.0504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1150 loss: 2.1150 2022/08/19 09:55:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:55:39 - mmengine - INFO - Epoch(train) [202][3757/3757] lr: 1.0963e-02 eta: 16:32:23 time: 0.2709 data_time: 0.0153 memory: 6332 grad_norm: 4.8564 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.7754 loss: 1.7754 2022/08/19 09:56:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 09:56:10 - mmengine - INFO - Epoch(train) [203][100/3757] lr: 1.0583e-02 eta: 16:31:43 time: 0.2870 data_time: 0.0180 memory: 6332 grad_norm: 4.8616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0599 loss: 2.0599 2022/08/19 09:56:40 - mmengine - INFO - Epoch(train) [203][200/3757] lr: 1.0583e-02 eta: 16:31:14 time: 0.2900 data_time: 0.0173 memory: 6332 grad_norm: 4.7664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2500 loss: 2.2500 2022/08/19 09:57:09 - mmengine - INFO - Epoch(train) [203][300/3757] lr: 1.0583e-02 eta: 16:30:44 time: 0.2897 data_time: 0.0175 memory: 6332 grad_norm: 4.9026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8404 loss: 1.8404 2022/08/19 09:57:38 - mmengine - INFO - Epoch(train) [203][400/3757] lr: 1.0583e-02 eta: 16:30:14 time: 0.2866 data_time: 0.0177 memory: 6332 grad_norm: 4.8124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/08/19 09:58:07 - mmengine - INFO - Epoch(train) [203][500/3757] lr: 1.0583e-02 eta: 16:29:44 time: 0.2927 data_time: 0.0167 memory: 6332 grad_norm: 5.0236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0664 loss: 2.0664 2022/08/19 09:58:36 - mmengine - INFO - Epoch(train) [203][600/3757] lr: 1.0583e-02 eta: 16:29:14 time: 0.2914 data_time: 0.0182 memory: 6332 grad_norm: 4.9832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3512 loss: 2.3512 2022/08/19 09:59:05 - mmengine - INFO - Epoch(train) [203][700/3757] lr: 1.0583e-02 eta: 16:28:44 time: 0.2876 data_time: 0.0170 memory: 6332 grad_norm: 4.9656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0750 loss: 2.0750 2022/08/19 09:59:35 - mmengine - INFO - Epoch(train) [203][800/3757] lr: 1.0583e-02 eta: 16:28:14 time: 0.2903 data_time: 0.0178 memory: 6332 grad_norm: 4.8562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1153 loss: 2.1153 2022/08/19 10:00:04 - mmengine - INFO - Epoch(train) [203][900/3757] lr: 1.0583e-02 eta: 16:27:44 time: 0.2877 data_time: 0.0171 memory: 6332 grad_norm: 4.8859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2103 loss: 2.2103 2022/08/19 10:00:33 - mmengine - INFO - Epoch(train) [203][1000/3757] lr: 1.0583e-02 eta: 16:27:15 time: 0.2876 data_time: 0.0162 memory: 6332 grad_norm: 4.8415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2184 loss: 2.2184 2022/08/19 10:01:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:01:06 - mmengine - INFO - Epoch(train) [203][1100/3757] lr: 1.0583e-02 eta: 16:26:49 time: 0.2949 data_time: 0.0180 memory: 6332 grad_norm: 5.0626 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2045 loss: 2.2045 2022/08/19 10:01:35 - mmengine - INFO - Epoch(train) [203][1200/3757] lr: 1.0583e-02 eta: 16:26:21 time: 0.3168 data_time: 0.0182 memory: 6332 grad_norm: 5.0669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1585 loss: 2.1585 2022/08/19 10:02:06 - mmengine - INFO - Epoch(train) [203][1300/3757] lr: 1.0583e-02 eta: 16:25:53 time: 0.2895 data_time: 0.0167 memory: 6332 grad_norm: 4.7471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1392 loss: 2.1392 2022/08/19 10:02:35 - mmengine - INFO - Epoch(train) [203][1400/3757] lr: 1.0583e-02 eta: 16:25:23 time: 0.2885 data_time: 0.0176 memory: 6332 grad_norm: 4.8513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8014 loss: 1.8014 2022/08/19 10:03:04 - mmengine - INFO - Epoch(train) [203][1500/3757] lr: 1.0583e-02 eta: 16:24:53 time: 0.2878 data_time: 0.0164 memory: 6332 grad_norm: 5.0329 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9616 loss: 1.9616 2022/08/19 10:03:34 - mmengine - INFO - Epoch(train) [203][1600/3757] lr: 1.0583e-02 eta: 16:24:23 time: 0.2871 data_time: 0.0172 memory: 6332 grad_norm: 5.0137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0040 loss: 2.0040 2022/08/19 10:04:03 - mmengine - INFO - Epoch(train) [203][1700/3757] lr: 1.0583e-02 eta: 16:23:53 time: 0.2863 data_time: 0.0178 memory: 6332 grad_norm: 4.8049 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/08/19 10:04:32 - mmengine - INFO - Epoch(train) [203][1800/3757] lr: 1.0583e-02 eta: 16:23:23 time: 0.2895 data_time: 0.0181 memory: 6332 grad_norm: 4.8893 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/08/19 10:05:01 - mmengine - INFO - Epoch(train) [203][1900/3757] lr: 1.0583e-02 eta: 16:22:53 time: 0.2904 data_time: 0.0169 memory: 6332 grad_norm: 4.9477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0143 loss: 2.0143 2022/08/19 10:05:30 - mmengine - INFO - Epoch(train) [203][2000/3757] lr: 1.0583e-02 eta: 16:22:24 time: 0.2871 data_time: 0.0172 memory: 6332 grad_norm: 4.8795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0153 loss: 2.0153 2022/08/19 10:05:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:05:59 - mmengine - INFO - Epoch(train) [203][2100/3757] lr: 1.0583e-02 eta: 16:21:54 time: 0.2879 data_time: 0.0175 memory: 6332 grad_norm: 4.9218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0648 loss: 2.0648 2022/08/19 10:06:29 - mmengine - INFO - Epoch(train) [203][2200/3757] lr: 1.0583e-02 eta: 16:21:24 time: 0.2915 data_time: 0.0167 memory: 6332 grad_norm: 4.8982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2067 loss: 2.2067 2022/08/19 10:06:58 - mmengine - INFO - Epoch(train) [203][2300/3757] lr: 1.0583e-02 eta: 16:20:54 time: 0.2874 data_time: 0.0177 memory: 6332 grad_norm: 5.0352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0583 loss: 2.0583 2022/08/19 10:07:27 - mmengine - INFO - Epoch(train) [203][2400/3757] lr: 1.0583e-02 eta: 16:20:24 time: 0.2910 data_time: 0.0183 memory: 6332 grad_norm: 4.7228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1094 loss: 2.1094 2022/08/19 10:07:56 - mmengine - INFO - Epoch(train) [203][2500/3757] lr: 1.0583e-02 eta: 16:19:54 time: 0.2883 data_time: 0.0177 memory: 6332 grad_norm: 5.0657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2798 loss: 2.2798 2022/08/19 10:08:25 - mmengine - INFO - Epoch(train) [203][2600/3757] lr: 1.0583e-02 eta: 16:19:24 time: 0.2886 data_time: 0.0185 memory: 6332 grad_norm: 4.9288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/08/19 10:08:54 - mmengine - INFO - Epoch(train) [203][2700/3757] lr: 1.0583e-02 eta: 16:18:54 time: 0.2880 data_time: 0.0167 memory: 6332 grad_norm: 5.0616 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8358 loss: 1.8358 2022/08/19 10:09:23 - mmengine - INFO - Epoch(train) [203][2800/3757] lr: 1.0583e-02 eta: 16:18:24 time: 0.2880 data_time: 0.0177 memory: 6332 grad_norm: 5.0466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2901 loss: 2.2901 2022/08/19 10:09:53 - mmengine - INFO - Epoch(train) [203][2900/3757] lr: 1.0583e-02 eta: 16:17:55 time: 0.2856 data_time: 0.0178 memory: 6332 grad_norm: 5.1469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3508 loss: 2.3508 2022/08/19 10:10:22 - mmengine - INFO - Epoch(train) [203][3000/3757] lr: 1.0583e-02 eta: 16:17:25 time: 0.2880 data_time: 0.0163 memory: 6332 grad_norm: 4.8504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/08/19 10:10:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:10:51 - mmengine - INFO - Epoch(train) [203][3100/3757] lr: 1.0583e-02 eta: 16:16:55 time: 0.2871 data_time: 0.0162 memory: 6332 grad_norm: 5.1092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3745 loss: 2.3745 2022/08/19 10:11:20 - mmengine - INFO - Epoch(train) [203][3200/3757] lr: 1.0583e-02 eta: 16:16:25 time: 0.2887 data_time: 0.0163 memory: 6332 grad_norm: 4.9883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5432 loss: 2.5432 2022/08/19 10:11:49 - mmengine - INFO - Epoch(train) [203][3300/3757] lr: 1.0583e-02 eta: 16:15:55 time: 0.2916 data_time: 0.0183 memory: 6332 grad_norm: 4.9271 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/08/19 10:12:18 - mmengine - INFO - Epoch(train) [203][3400/3757] lr: 1.0583e-02 eta: 16:15:25 time: 0.2887 data_time: 0.0177 memory: 6332 grad_norm: 4.8457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1885 loss: 2.1885 2022/08/19 10:12:47 - mmengine - INFO - Epoch(train) [203][3500/3757] lr: 1.0583e-02 eta: 16:14:55 time: 0.2889 data_time: 0.0207 memory: 6332 grad_norm: 4.9158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9469 loss: 1.9469 2022/08/19 10:13:16 - mmengine - INFO - Epoch(train) [203][3600/3757] lr: 1.0583e-02 eta: 16:14:25 time: 0.2873 data_time: 0.0173 memory: 6332 grad_norm: 5.0323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3991 loss: 2.3991 2022/08/19 10:13:45 - mmengine - INFO - Epoch(train) [203][3700/3757] lr: 1.0583e-02 eta: 16:13:55 time: 0.2883 data_time: 0.0184 memory: 6332 grad_norm: 4.8747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9610 loss: 1.9610 2022/08/19 10:14:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:14:02 - mmengine - INFO - Epoch(train) [203][3757/3757] lr: 1.0583e-02 eta: 16:13:43 time: 0.2698 data_time: 0.0154 memory: 6332 grad_norm: 4.9925 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2096 loss: 2.2096 2022/08/19 10:14:33 - mmengine - INFO - Epoch(train) [204][100/3757] lr: 1.0208e-02 eta: 16:13:04 time: 0.2876 data_time: 0.0174 memory: 6332 grad_norm: 4.8497 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2601 loss: 2.2601 2022/08/19 10:15:02 - mmengine - INFO - Epoch(train) [204][200/3757] lr: 1.0208e-02 eta: 16:12:34 time: 0.2857 data_time: 0.0172 memory: 6332 grad_norm: 5.0145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2977 loss: 2.2977 2022/08/19 10:15:31 - mmengine - INFO - Epoch(train) [204][300/3757] lr: 1.0208e-02 eta: 16:12:04 time: 0.2859 data_time: 0.0163 memory: 6332 grad_norm: 4.8127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2401 loss: 2.2401 2022/08/19 10:15:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:16:00 - mmengine - INFO - Epoch(train) [204][400/3757] lr: 1.0208e-02 eta: 16:11:34 time: 0.2923 data_time: 0.0185 memory: 6332 grad_norm: 4.9670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/08/19 10:16:29 - mmengine - INFO - Epoch(train) [204][500/3757] lr: 1.0208e-02 eta: 16:11:04 time: 0.2886 data_time: 0.0175 memory: 6332 grad_norm: 4.9538 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2264 loss: 2.2264 2022/08/19 10:16:58 - mmengine - INFO - Epoch(train) [204][600/3757] lr: 1.0208e-02 eta: 16:10:35 time: 0.2892 data_time: 0.0174 memory: 6332 grad_norm: 4.8394 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1972 loss: 2.1972 2022/08/19 10:17:27 - mmengine - INFO - Epoch(train) [204][700/3757] lr: 1.0208e-02 eta: 16:10:05 time: 0.2888 data_time: 0.0184 memory: 6332 grad_norm: 5.0660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1224 loss: 2.1224 2022/08/19 10:17:57 - mmengine - INFO - Epoch(train) [204][800/3757] lr: 1.0208e-02 eta: 16:09:35 time: 0.2917 data_time: 0.0177 memory: 6332 grad_norm: 4.9721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8707 loss: 1.8707 2022/08/19 10:18:26 - mmengine - INFO - Epoch(train) [204][900/3757] lr: 1.0208e-02 eta: 16:09:05 time: 0.2861 data_time: 0.0164 memory: 6332 grad_norm: 4.9122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9999 loss: 1.9999 2022/08/19 10:18:55 - mmengine - INFO - Epoch(train) [204][1000/3757] lr: 1.0208e-02 eta: 16:08:35 time: 0.2880 data_time: 0.0178 memory: 6332 grad_norm: 4.8638 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2409 loss: 2.2409 2022/08/19 10:19:25 - mmengine - INFO - Epoch(train) [204][1100/3757] lr: 1.0208e-02 eta: 16:08:06 time: 0.2869 data_time: 0.0176 memory: 6332 grad_norm: 4.9472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1851 loss: 2.1851 2022/08/19 10:19:54 - mmengine - INFO - Epoch(train) [204][1200/3757] lr: 1.0208e-02 eta: 16:07:36 time: 0.2864 data_time: 0.0159 memory: 6332 grad_norm: 4.9910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9461 loss: 1.9461 2022/08/19 10:20:23 - mmengine - INFO - Epoch(train) [204][1300/3757] lr: 1.0208e-02 eta: 16:07:06 time: 0.2861 data_time: 0.0168 memory: 6332 grad_norm: 4.8193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8540 loss: 1.8540 2022/08/19 10:20:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:20:52 - mmengine - INFO - Epoch(train) [204][1400/3757] lr: 1.0208e-02 eta: 16:06:36 time: 0.2867 data_time: 0.0175 memory: 6332 grad_norm: 4.9758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2211 loss: 2.2211 2022/08/19 10:21:21 - mmengine - INFO - Epoch(train) [204][1500/3757] lr: 1.0208e-02 eta: 16:06:07 time: 0.2982 data_time: 0.0165 memory: 6332 grad_norm: 4.9159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/08/19 10:21:50 - mmengine - INFO - Epoch(train) [204][1600/3757] lr: 1.0208e-02 eta: 16:05:37 time: 0.2883 data_time: 0.0175 memory: 6332 grad_norm: 5.0367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3969 loss: 2.3969 2022/08/19 10:22:20 - mmengine - INFO - Epoch(train) [204][1700/3757] lr: 1.0208e-02 eta: 16:05:07 time: 0.2918 data_time: 0.0179 memory: 6332 grad_norm: 4.9602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0958 loss: 2.0958 2022/08/19 10:22:49 - mmengine - INFO - Epoch(train) [204][1800/3757] lr: 1.0208e-02 eta: 16:04:37 time: 0.2875 data_time: 0.0185 memory: 6332 grad_norm: 5.0999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2268 loss: 2.2268 2022/08/19 10:23:18 - mmengine - INFO - Epoch(train) [204][1900/3757] lr: 1.0208e-02 eta: 16:04:07 time: 0.2957 data_time: 0.0165 memory: 6332 grad_norm: 5.0606 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/08/19 10:23:47 - mmengine - INFO - Epoch(train) [204][2000/3757] lr: 1.0208e-02 eta: 16:03:37 time: 0.2878 data_time: 0.0172 memory: 6332 grad_norm: 4.8308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9914 loss: 1.9914 2022/08/19 10:24:16 - mmengine - INFO - Epoch(train) [204][2100/3757] lr: 1.0208e-02 eta: 16:03:07 time: 0.2861 data_time: 0.0187 memory: 6332 grad_norm: 5.0364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0369 loss: 2.0369 2022/08/19 10:24:45 - mmengine - INFO - Epoch(train) [204][2200/3757] lr: 1.0208e-02 eta: 16:02:37 time: 0.2871 data_time: 0.0179 memory: 6332 grad_norm: 4.8728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0748 loss: 2.0748 2022/08/19 10:25:14 - mmengine - INFO - Epoch(train) [204][2300/3757] lr: 1.0208e-02 eta: 16:02:08 time: 0.2889 data_time: 0.0167 memory: 6332 grad_norm: 5.0050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1149 loss: 2.1149 2022/08/19 10:25:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:25:43 - mmengine - INFO - Epoch(train) [204][2400/3757] lr: 1.0208e-02 eta: 16:01:38 time: 0.2866 data_time: 0.0168 memory: 6332 grad_norm: 4.8921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2624 loss: 2.2624 2022/08/19 10:26:13 - mmengine - INFO - Epoch(train) [204][2500/3757] lr: 1.0208e-02 eta: 16:01:08 time: 0.2882 data_time: 0.0172 memory: 6332 grad_norm: 4.8824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7348 loss: 1.7348 2022/08/19 10:26:42 - mmengine - INFO - Epoch(train) [204][2600/3757] lr: 1.0208e-02 eta: 16:00:38 time: 0.2878 data_time: 0.0195 memory: 6332 grad_norm: 4.9786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3432 loss: 2.3432 2022/08/19 10:27:11 - mmengine - INFO - Epoch(train) [204][2700/3757] lr: 1.0208e-02 eta: 16:00:08 time: 0.2896 data_time: 0.0181 memory: 6332 grad_norm: 4.8793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9729 loss: 1.9729 2022/08/19 10:27:40 - mmengine - INFO - Epoch(train) [204][2800/3757] lr: 1.0208e-02 eta: 15:59:39 time: 0.2919 data_time: 0.0179 memory: 6332 grad_norm: 5.0584 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2190 loss: 2.2190 2022/08/19 10:28:09 - mmengine - INFO - Epoch(train) [204][2900/3757] lr: 1.0208e-02 eta: 15:59:09 time: 0.2876 data_time: 0.0160 memory: 6332 grad_norm: 4.9268 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9094 loss: 1.9094 2022/08/19 10:28:38 - mmengine - INFO - Epoch(train) [204][3000/3757] lr: 1.0208e-02 eta: 15:58:39 time: 0.2916 data_time: 0.0192 memory: 6332 grad_norm: 4.9659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/08/19 10:29:08 - mmengine - INFO - Epoch(train) [204][3100/3757] lr: 1.0208e-02 eta: 15:58:09 time: 0.2890 data_time: 0.0172 memory: 6332 grad_norm: 5.0411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1529 loss: 2.1529 2022/08/19 10:29:37 - mmengine - INFO - Epoch(train) [204][3200/3757] lr: 1.0208e-02 eta: 15:57:39 time: 0.2890 data_time: 0.0174 memory: 6332 grad_norm: 5.0160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1534 loss: 2.1534 2022/08/19 10:30:06 - mmengine - INFO - Epoch(train) [204][3300/3757] lr: 1.0208e-02 eta: 15:57:09 time: 0.2858 data_time: 0.0166 memory: 6332 grad_norm: 4.9053 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2361 loss: 2.2361 2022/08/19 10:30:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:30:35 - mmengine - INFO - Epoch(train) [204][3400/3757] lr: 1.0208e-02 eta: 15:56:39 time: 0.2880 data_time: 0.0180 memory: 6332 grad_norm: 4.9670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8187 loss: 1.8187 2022/08/19 10:31:04 - mmengine - INFO - Epoch(train) [204][3500/3757] lr: 1.0208e-02 eta: 15:56:10 time: 0.2876 data_time: 0.0168 memory: 6332 grad_norm: 5.0131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9712 loss: 1.9712 2022/08/19 10:31:33 - mmengine - INFO - Epoch(train) [204][3600/3757] lr: 1.0208e-02 eta: 15:55:40 time: 0.2863 data_time: 0.0176 memory: 6332 grad_norm: 5.1288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/19 10:32:02 - mmengine - INFO - Epoch(train) [204][3700/3757] lr: 1.0208e-02 eta: 15:55:10 time: 0.2934 data_time: 0.0187 memory: 6332 grad_norm: 5.2366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0972 loss: 2.0972 2022/08/19 10:32:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:32:19 - mmengine - INFO - Epoch(train) [204][3757/3757] lr: 1.0208e-02 eta: 15:54:58 time: 0.2750 data_time: 0.0157 memory: 6332 grad_norm: 5.1071 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.1586 loss: 2.1586 2022/08/19 10:32:19 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/19 10:32:53 - mmengine - INFO - Epoch(train) [205][100/3757] lr: 9.8396e-03 eta: 15:54:18 time: 0.2870 data_time: 0.0167 memory: 6332 grad_norm: 5.0074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1949 loss: 2.1949 2022/08/19 10:33:22 - mmengine - INFO - Epoch(train) [205][200/3757] lr: 9.8396e-03 eta: 15:53:48 time: 0.2924 data_time: 0.0201 memory: 6332 grad_norm: 5.1031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0482 loss: 2.0482 2022/08/19 10:33:51 - mmengine - INFO - Epoch(train) [205][300/3757] lr: 9.8396e-03 eta: 15:53:18 time: 0.2893 data_time: 0.0194 memory: 6332 grad_norm: 5.0904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4031 loss: 2.4031 2022/08/19 10:34:20 - mmengine - INFO - Epoch(train) [205][400/3757] lr: 9.8396e-03 eta: 15:52:48 time: 0.2883 data_time: 0.0167 memory: 6332 grad_norm: 5.0820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0660 loss: 2.0660 2022/08/19 10:34:49 - mmengine - INFO - Epoch(train) [205][500/3757] lr: 9.8396e-03 eta: 15:52:19 time: 0.2882 data_time: 0.0164 memory: 6332 grad_norm: 5.0966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/08/19 10:35:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:35:19 - mmengine - INFO - Epoch(train) [205][600/3757] lr: 9.8396e-03 eta: 15:51:49 time: 0.2882 data_time: 0.0186 memory: 6332 grad_norm: 4.9997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0767 loss: 2.0767 2022/08/19 10:35:48 - mmengine - INFO - Epoch(train) [205][700/3757] lr: 9.8396e-03 eta: 15:51:19 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 4.8560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9422 loss: 1.9422 2022/08/19 10:36:17 - mmengine - INFO - Epoch(train) [205][800/3757] lr: 9.8396e-03 eta: 15:50:49 time: 0.2873 data_time: 0.0174 memory: 6332 grad_norm: 5.0590 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8101 loss: 1.8101 2022/08/19 10:36:46 - mmengine - INFO - Epoch(train) [205][900/3757] lr: 9.8396e-03 eta: 15:50:19 time: 0.2875 data_time: 0.0162 memory: 6332 grad_norm: 4.9648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8090 loss: 1.8090 2022/08/19 10:37:15 - mmengine - INFO - Epoch(train) [205][1000/3757] lr: 9.8396e-03 eta: 15:49:49 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 5.0054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0285 loss: 2.0285 2022/08/19 10:37:44 - mmengine - INFO - Epoch(train) [205][1100/3757] lr: 9.8396e-03 eta: 15:49:19 time: 0.2874 data_time: 0.0182 memory: 6332 grad_norm: 5.0321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0155 loss: 2.0155 2022/08/19 10:38:13 - mmengine - INFO - Epoch(train) [205][1200/3757] lr: 9.8396e-03 eta: 15:48:50 time: 0.2857 data_time: 0.0178 memory: 6332 grad_norm: 5.0939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0279 loss: 2.0279 2022/08/19 10:38:43 - mmengine - INFO - Epoch(train) [205][1300/3757] lr: 9.8396e-03 eta: 15:48:20 time: 0.2928 data_time: 0.0185 memory: 6332 grad_norm: 5.2141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2931 loss: 2.2931 2022/08/19 10:39:12 - mmengine - INFO - Epoch(train) [205][1400/3757] lr: 9.8396e-03 eta: 15:47:50 time: 0.2889 data_time: 0.0192 memory: 6332 grad_norm: 5.0339 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0626 loss: 2.0626 2022/08/19 10:39:41 - mmengine - INFO - Epoch(train) [205][1500/3757] lr: 9.8396e-03 eta: 15:47:21 time: 0.2927 data_time: 0.0185 memory: 6332 grad_norm: 4.9422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1011 loss: 2.1011 2022/08/19 10:40:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:40:10 - mmengine - INFO - Epoch(train) [205][1600/3757] lr: 9.8396e-03 eta: 15:46:51 time: 0.2866 data_time: 0.0169 memory: 6332 grad_norm: 5.0432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0775 loss: 2.0775 2022/08/19 10:40:40 - mmengine - INFO - Epoch(train) [205][1700/3757] lr: 9.8396e-03 eta: 15:46:21 time: 0.2959 data_time: 0.0180 memory: 6332 grad_norm: 4.8027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8673 loss: 1.8673 2022/08/19 10:41:09 - mmengine - INFO - Epoch(train) [205][1800/3757] lr: 9.8396e-03 eta: 15:45:51 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 5.0708 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1950 loss: 2.1950 2022/08/19 10:41:38 - mmengine - INFO - Epoch(train) [205][1900/3757] lr: 9.8396e-03 eta: 15:45:22 time: 0.2905 data_time: 0.0173 memory: 6332 grad_norm: 5.1804 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1986 loss: 2.1986 2022/08/19 10:42:07 - mmengine - INFO - Epoch(train) [205][2000/3757] lr: 9.8396e-03 eta: 15:44:52 time: 0.2868 data_time: 0.0170 memory: 6332 grad_norm: 5.0670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9561 loss: 1.9561 2022/08/19 10:42:37 - mmengine - INFO - Epoch(train) [205][2100/3757] lr: 9.8396e-03 eta: 15:44:22 time: 0.2871 data_time: 0.0161 memory: 6332 grad_norm: 5.0155 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/08/19 10:43:06 - mmengine - INFO - Epoch(train) [205][2200/3757] lr: 9.8396e-03 eta: 15:43:53 time: 0.2880 data_time: 0.0175 memory: 6332 grad_norm: 5.1159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9133 loss: 1.9133 2022/08/19 10:43:35 - mmengine - INFO - Epoch(train) [205][2300/3757] lr: 9.8396e-03 eta: 15:43:23 time: 0.2878 data_time: 0.0177 memory: 6332 grad_norm: 4.9465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0384 loss: 2.0384 2022/08/19 10:44:04 - mmengine - INFO - Epoch(train) [205][2400/3757] lr: 9.8396e-03 eta: 15:42:53 time: 0.2888 data_time: 0.0173 memory: 6332 grad_norm: 5.0944 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2406 loss: 2.2406 2022/08/19 10:44:34 - mmengine - INFO - Epoch(train) [205][2500/3757] lr: 9.8396e-03 eta: 15:42:24 time: 0.3051 data_time: 0.0172 memory: 6332 grad_norm: 4.8754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2762 loss: 2.2762 2022/08/19 10:44:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:45:03 - mmengine - INFO - Epoch(train) [205][2600/3757] lr: 9.8396e-03 eta: 15:41:54 time: 0.2884 data_time: 0.0184 memory: 6332 grad_norm: 5.0855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1435 loss: 2.1435 2022/08/19 10:45:32 - mmengine - INFO - Epoch(train) [205][2700/3757] lr: 9.8396e-03 eta: 15:41:25 time: 0.2956 data_time: 0.0177 memory: 6332 grad_norm: 5.1495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/08/19 10:46:01 - mmengine - INFO - Epoch(train) [205][2800/3757] lr: 9.8396e-03 eta: 15:40:55 time: 0.2874 data_time: 0.0177 memory: 6332 grad_norm: 5.0202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/08/19 10:46:30 - mmengine - INFO - Epoch(train) [205][2900/3757] lr: 9.8396e-03 eta: 15:40:25 time: 0.2919 data_time: 0.0182 memory: 6332 grad_norm: 5.0130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1281 loss: 2.1281 2022/08/19 10:47:00 - mmengine - INFO - Epoch(train) [205][3000/3757] lr: 9.8396e-03 eta: 15:39:55 time: 0.2873 data_time: 0.0173 memory: 6332 grad_norm: 4.9811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0248 loss: 2.0248 2022/08/19 10:47:29 - mmengine - INFO - Epoch(train) [205][3100/3757] lr: 9.8396e-03 eta: 15:39:25 time: 0.2938 data_time: 0.0172 memory: 6332 grad_norm: 5.1301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1541 loss: 2.1541 2022/08/19 10:47:58 - mmengine - INFO - Epoch(train) [205][3200/3757] lr: 9.8396e-03 eta: 15:38:56 time: 0.2883 data_time: 0.0168 memory: 6332 grad_norm: 5.0973 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9000 loss: 1.9000 2022/08/19 10:48:27 - mmengine - INFO - Epoch(train) [205][3300/3757] lr: 9.8396e-03 eta: 15:38:26 time: 0.2884 data_time: 0.0176 memory: 6332 grad_norm: 4.9914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9783 loss: 1.9783 2022/08/19 10:48:56 - mmengine - INFO - Epoch(train) [205][3400/3757] lr: 9.8396e-03 eta: 15:37:56 time: 0.2867 data_time: 0.0185 memory: 6332 grad_norm: 5.1138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9344 loss: 1.9344 2022/08/19 10:49:25 - mmengine - INFO - Epoch(train) [205][3500/3757] lr: 9.8396e-03 eta: 15:37:26 time: 0.2871 data_time: 0.0171 memory: 6332 grad_norm: 5.0218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/08/19 10:49:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:49:55 - mmengine - INFO - Epoch(train) [205][3600/3757] lr: 9.8396e-03 eta: 15:36:57 time: 0.2900 data_time: 0.0179 memory: 6332 grad_norm: 4.9696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8971 loss: 1.8971 2022/08/19 10:50:24 - mmengine - INFO - Epoch(train) [205][3700/3757] lr: 9.8396e-03 eta: 15:36:27 time: 0.2859 data_time: 0.0171 memory: 6332 grad_norm: 5.1357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/08/19 10:50:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:50:40 - mmengine - INFO - Epoch(train) [205][3757/3757] lr: 9.8396e-03 eta: 15:36:15 time: 0.2702 data_time: 0.0158 memory: 6332 grad_norm: 5.1002 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9687 loss: 1.9687 2022/08/19 10:51:03 - mmengine - INFO - Epoch(val) [205][100/310] eta: 0:00:49 time: 0.2373 data_time: 0.1398 memory: 1147 2022/08/19 10:51:23 - mmengine - INFO - Epoch(val) [205][200/310] eta: 0:00:19 time: 0.1794 data_time: 0.0859 memory: 1147 2022/08/19 10:51:44 - mmengine - INFO - Epoch(val) [205][300/310] eta: 0:00:01 time: 0.1908 data_time: 0.0993 memory: 1147 2022/08/19 10:51:47 - mmengine - INFO - Epoch(val) [205][310/310] acc/top1: 0.5900 acc/top5: 0.8200 acc/mean1: 0.5899 2022/08/19 10:51:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_201.pth is removed 2022/08/19 10:51:51 - mmengine - INFO - The best checkpoint with 0.5900 acc/top1 at 206 epoch is saved to best_acc/top1_epoch_206.pth. 2022/08/19 10:52:21 - mmengine - INFO - Epoch(train) [206][100/3757] lr: 9.4771e-03 eta: 15:35:36 time: 0.2883 data_time: 0.0175 memory: 6332 grad_norm: 5.1303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2300 loss: 2.2300 2022/08/19 10:52:50 - mmengine - INFO - Epoch(train) [206][200/3757] lr: 9.4771e-03 eta: 15:35:06 time: 0.2869 data_time: 0.0187 memory: 6332 grad_norm: 5.0289 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1667 loss: 2.1667 2022/08/19 10:53:19 - mmengine - INFO - Epoch(train) [206][300/3757] lr: 9.4771e-03 eta: 15:34:36 time: 0.2881 data_time: 0.0165 memory: 6332 grad_norm: 5.0507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5344 loss: 1.5344 2022/08/19 10:53:48 - mmengine - INFO - Epoch(train) [206][400/3757] lr: 9.4771e-03 eta: 15:34:06 time: 0.2882 data_time: 0.0176 memory: 6332 grad_norm: 5.1888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/08/19 10:54:17 - mmengine - INFO - Epoch(train) [206][500/3757] lr: 9.4771e-03 eta: 15:33:36 time: 0.2884 data_time: 0.0176 memory: 6332 grad_norm: 5.1486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0607 loss: 2.0607 2022/08/19 10:54:46 - mmengine - INFO - Epoch(train) [206][600/3757] lr: 9.4771e-03 eta: 15:33:07 time: 0.2866 data_time: 0.0171 memory: 6332 grad_norm: 5.1166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7406 loss: 1.7406 2022/08/19 10:55:15 - mmengine - INFO - Epoch(train) [206][700/3757] lr: 9.4771e-03 eta: 15:32:37 time: 0.2855 data_time: 0.0168 memory: 6332 grad_norm: 5.0458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0462 loss: 2.0462 2022/08/19 10:55:44 - mmengine - INFO - Epoch(train) [206][800/3757] lr: 9.4771e-03 eta: 15:32:07 time: 0.2886 data_time: 0.0168 memory: 6332 grad_norm: 5.1627 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8381 loss: 1.8381 2022/08/19 10:55:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 10:56:13 - mmengine - INFO - Epoch(train) [206][900/3757] lr: 9.4771e-03 eta: 15:31:37 time: 0.2878 data_time: 0.0187 memory: 6332 grad_norm: 5.2120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1211 loss: 2.1211 2022/08/19 10:56:42 - mmengine - INFO - Epoch(train) [206][1000/3757] lr: 9.4771e-03 eta: 15:31:07 time: 0.2907 data_time: 0.0190 memory: 6332 grad_norm: 5.2696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2620 loss: 2.2620 2022/08/19 10:57:12 - mmengine - INFO - Epoch(train) [206][1100/3757] lr: 9.4771e-03 eta: 15:30:37 time: 0.2884 data_time: 0.0175 memory: 6332 grad_norm: 5.1483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1431 loss: 2.1431 2022/08/19 10:57:41 - mmengine - INFO - Epoch(train) [206][1200/3757] lr: 9.4771e-03 eta: 15:30:08 time: 0.2893 data_time: 0.0201 memory: 6332 grad_norm: 4.8909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0746 loss: 2.0746 2022/08/19 10:58:10 - mmengine - INFO - Epoch(train) [206][1300/3757] lr: 9.4771e-03 eta: 15:29:38 time: 0.2968 data_time: 0.0164 memory: 6332 grad_norm: 5.2204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2802 loss: 2.2802 2022/08/19 10:58:39 - mmengine - INFO - Epoch(train) [206][1400/3757] lr: 9.4771e-03 eta: 15:29:08 time: 0.2867 data_time: 0.0164 memory: 6332 grad_norm: 5.1788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2761 loss: 2.2761 2022/08/19 10:59:08 - mmengine - INFO - Epoch(train) [206][1500/3757] lr: 9.4771e-03 eta: 15:28:38 time: 0.2873 data_time: 0.0174 memory: 6332 grad_norm: 5.0549 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9644 loss: 1.9644 2022/08/19 10:59:38 - mmengine - INFO - Epoch(train) [206][1600/3757] lr: 9.4771e-03 eta: 15:28:09 time: 0.2883 data_time: 0.0187 memory: 6332 grad_norm: 5.0851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1337 loss: 2.1337 2022/08/19 11:00:07 - mmengine - INFO - Epoch(train) [206][1700/3757] lr: 9.4771e-03 eta: 15:27:39 time: 0.2873 data_time: 0.0170 memory: 6332 grad_norm: 5.2834 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1839 loss: 2.1839 2022/08/19 11:00:36 - mmengine - INFO - Epoch(train) [206][1800/3757] lr: 9.4771e-03 eta: 15:27:09 time: 0.2890 data_time: 0.0173 memory: 6332 grad_norm: 5.1373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1360 loss: 2.1360 2022/08/19 11:00:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:01:05 - mmengine - INFO - Epoch(train) [206][1900/3757] lr: 9.4771e-03 eta: 15:26:40 time: 0.2937 data_time: 0.0186 memory: 6332 grad_norm: 5.1759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3549 loss: 2.3549 2022/08/19 11:01:34 - mmengine - INFO - Epoch(train) [206][2000/3757] lr: 9.4771e-03 eta: 15:26:10 time: 0.2925 data_time: 0.0186 memory: 6332 grad_norm: 5.0354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1955 loss: 2.1955 2022/08/19 11:02:03 - mmengine - INFO - Epoch(train) [206][2100/3757] lr: 9.4771e-03 eta: 15:25:40 time: 0.2873 data_time: 0.0165 memory: 6332 grad_norm: 5.3375 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3824 loss: 2.3824 2022/08/19 11:02:33 - mmengine - INFO - Epoch(train) [206][2200/3757] lr: 9.4771e-03 eta: 15:25:10 time: 0.2906 data_time: 0.0176 memory: 6332 grad_norm: 5.0995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/08/19 11:03:02 - mmengine - INFO - Epoch(train) [206][2300/3757] lr: 9.4771e-03 eta: 15:24:41 time: 0.2911 data_time: 0.0179 memory: 6332 grad_norm: 5.1571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0956 loss: 2.0956 2022/08/19 11:03:31 - mmengine - INFO - Epoch(train) [206][2400/3757] lr: 9.4771e-03 eta: 15:24:11 time: 0.2928 data_time: 0.0194 memory: 6332 grad_norm: 5.0615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8725 loss: 1.8725 2022/08/19 11:04:00 - mmengine - INFO - Epoch(train) [206][2500/3757] lr: 9.4771e-03 eta: 15:23:41 time: 0.2892 data_time: 0.0172 memory: 6332 grad_norm: 5.1288 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1150 loss: 2.1150 2022/08/19 11:04:29 - mmengine - INFO - Epoch(train) [206][2600/3757] lr: 9.4771e-03 eta: 15:23:12 time: 0.2857 data_time: 0.0171 memory: 6332 grad_norm: 5.0234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9440 loss: 1.9440 2022/08/19 11:04:59 - mmengine - INFO - Epoch(train) [206][2700/3757] lr: 9.4771e-03 eta: 15:22:42 time: 0.2884 data_time: 0.0168 memory: 6332 grad_norm: 5.3284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9995 loss: 1.9995 2022/08/19 11:05:28 - mmengine - INFO - Epoch(train) [206][2800/3757] lr: 9.4771e-03 eta: 15:22:12 time: 0.2877 data_time: 0.0184 memory: 6332 grad_norm: 5.2303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1755 loss: 2.1755 2022/08/19 11:05:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:05:57 - mmengine - INFO - Epoch(train) [206][2900/3757] lr: 9.4771e-03 eta: 15:21:43 time: 0.2878 data_time: 0.0175 memory: 6332 grad_norm: 5.1017 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6022 loss: 2.6022 2022/08/19 11:06:26 - mmengine - INFO - Epoch(train) [206][3000/3757] lr: 9.4771e-03 eta: 15:21:13 time: 0.2872 data_time: 0.0181 memory: 6332 grad_norm: 5.2449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2502 loss: 2.2502 2022/08/19 11:06:55 - mmengine - INFO - Epoch(train) [206][3100/3757] lr: 9.4771e-03 eta: 15:20:43 time: 0.2901 data_time: 0.0195 memory: 6332 grad_norm: 4.9164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/19 11:07:25 - mmengine - INFO - Epoch(train) [206][3200/3757] lr: 9.4771e-03 eta: 15:20:13 time: 0.2874 data_time: 0.0187 memory: 6332 grad_norm: 5.1370 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2627 loss: 2.2627 2022/08/19 11:07:54 - mmengine - INFO - Epoch(train) [206][3300/3757] lr: 9.4771e-03 eta: 15:19:44 time: 0.3012 data_time: 0.0179 memory: 6332 grad_norm: 5.1033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0662 loss: 2.0662 2022/08/19 11:08:23 - mmengine - INFO - Epoch(train) [206][3400/3757] lr: 9.4771e-03 eta: 15:19:14 time: 0.2866 data_time: 0.0175 memory: 6332 grad_norm: 5.0417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4416 loss: 2.4416 2022/08/19 11:08:52 - mmengine - INFO - Epoch(train) [206][3500/3757] lr: 9.4771e-03 eta: 15:18:44 time: 0.2890 data_time: 0.0185 memory: 6332 grad_norm: 5.0059 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3857 loss: 2.3857 2022/08/19 11:09:21 - mmengine - INFO - Epoch(train) [206][3600/3757] lr: 9.4771e-03 eta: 15:18:15 time: 0.2880 data_time: 0.0177 memory: 6332 grad_norm: 5.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0828 loss: 2.0828 2022/08/19 11:09:50 - mmengine - INFO - Epoch(train) [206][3700/3757] lr: 9.4771e-03 eta: 15:17:45 time: 0.2868 data_time: 0.0166 memory: 6332 grad_norm: 5.1079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1419 loss: 2.1419 2022/08/19 11:10:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:10:07 - mmengine - INFO - Epoch(train) [206][3757/3757] lr: 9.4771e-03 eta: 15:17:33 time: 0.2740 data_time: 0.0157 memory: 6332 grad_norm: 5.2171 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1584 loss: 2.1584 2022/08/19 11:10:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:10:38 - mmengine - INFO - Epoch(train) [207][100/3757] lr: 9.1208e-03 eta: 15:16:55 time: 0.2876 data_time: 0.0180 memory: 6332 grad_norm: 5.1075 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9811 loss: 1.9811 2022/08/19 11:11:07 - mmengine - INFO - Epoch(train) [207][200/3757] lr: 9.1208e-03 eta: 15:16:25 time: 0.2896 data_time: 0.0186 memory: 6332 grad_norm: 5.2245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2266 loss: 2.2266 2022/08/19 11:11:36 - mmengine - INFO - Epoch(train) [207][300/3757] lr: 9.1208e-03 eta: 15:15:55 time: 0.2898 data_time: 0.0184 memory: 6332 grad_norm: 5.0956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7622 loss: 1.7622 2022/08/19 11:12:06 - mmengine - INFO - Epoch(train) [207][400/3757] lr: 9.1208e-03 eta: 15:15:26 time: 0.2889 data_time: 0.0177 memory: 6332 grad_norm: 5.1592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2480 loss: 2.2480 2022/08/19 11:12:35 - mmengine - INFO - Epoch(train) [207][500/3757] lr: 9.1208e-03 eta: 15:14:56 time: 0.2906 data_time: 0.0193 memory: 6332 grad_norm: 5.0762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/08/19 11:13:04 - mmengine - INFO - Epoch(train) [207][600/3757] lr: 9.1208e-03 eta: 15:14:26 time: 0.2870 data_time: 0.0182 memory: 6332 grad_norm: 5.1075 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8722 loss: 1.8722 2022/08/19 11:13:33 - mmengine - INFO - Epoch(train) [207][700/3757] lr: 9.1208e-03 eta: 15:13:57 time: 0.2926 data_time: 0.0188 memory: 6332 grad_norm: 4.9291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9682 loss: 1.9682 2022/08/19 11:14:03 - mmengine - INFO - Epoch(train) [207][800/3757] lr: 9.1208e-03 eta: 15:13:27 time: 0.2866 data_time: 0.0165 memory: 6332 grad_norm: 5.0885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9979 loss: 1.9979 2022/08/19 11:14:32 - mmengine - INFO - Epoch(train) [207][900/3757] lr: 9.1208e-03 eta: 15:12:58 time: 0.2894 data_time: 0.0191 memory: 6332 grad_norm: 5.1163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6074 loss: 2.6074 2022/08/19 11:15:01 - mmengine - INFO - Epoch(train) [207][1000/3757] lr: 9.1208e-03 eta: 15:12:28 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 5.1845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9591 loss: 1.9591 2022/08/19 11:15:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:15:30 - mmengine - INFO - Epoch(train) [207][1100/3757] lr: 9.1208e-03 eta: 15:11:59 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 5.1174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1164 loss: 2.1164 2022/08/19 11:16:00 - mmengine - INFO - Epoch(train) [207][1200/3757] lr: 9.1208e-03 eta: 15:11:29 time: 0.2873 data_time: 0.0169 memory: 6332 grad_norm: 5.3268 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0677 loss: 2.0677 2022/08/19 11:16:29 - mmengine - INFO - Epoch(train) [207][1300/3757] lr: 9.1208e-03 eta: 15:11:00 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 5.1351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2978 loss: 2.2978 2022/08/19 11:16:58 - mmengine - INFO - Epoch(train) [207][1400/3757] lr: 9.1208e-03 eta: 15:10:30 time: 0.2861 data_time: 0.0174 memory: 6332 grad_norm: 5.1699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7147 loss: 1.7147 2022/08/19 11:17:28 - mmengine - INFO - Epoch(train) [207][1500/3757] lr: 9.1208e-03 eta: 15:10:00 time: 0.2862 data_time: 0.0176 memory: 6332 grad_norm: 5.1767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/08/19 11:17:57 - mmengine - INFO - Epoch(train) [207][1600/3757] lr: 9.1208e-03 eta: 15:09:31 time: 0.2937 data_time: 0.0173 memory: 6332 grad_norm: 5.2081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4081 loss: 2.4081 2022/08/19 11:18:26 - mmengine - INFO - Epoch(train) [207][1700/3757] lr: 9.1208e-03 eta: 15:09:01 time: 0.2897 data_time: 0.0186 memory: 6332 grad_norm: 5.1600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2279 loss: 2.2279 2022/08/19 11:18:55 - mmengine - INFO - Epoch(train) [207][1800/3757] lr: 9.1208e-03 eta: 15:08:31 time: 0.2930 data_time: 0.0195 memory: 6332 grad_norm: 5.2795 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0866 loss: 2.0866 2022/08/19 11:19:24 - mmengine - INFO - Epoch(train) [207][1900/3757] lr: 9.1208e-03 eta: 15:08:01 time: 0.2882 data_time: 0.0169 memory: 6332 grad_norm: 5.0691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1981 loss: 2.1981 2022/08/19 11:19:54 - mmengine - INFO - Epoch(train) [207][2000/3757] lr: 9.1208e-03 eta: 15:07:32 time: 0.2912 data_time: 0.0180 memory: 6332 grad_norm: 5.1908 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0368 loss: 2.0368 2022/08/19 11:20:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:20:23 - mmengine - INFO - Epoch(train) [207][2100/3757] lr: 9.1208e-03 eta: 15:07:02 time: 0.2897 data_time: 0.0182 memory: 6332 grad_norm: 5.0660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8166 loss: 1.8166 2022/08/19 11:20:52 - mmengine - INFO - Epoch(train) [207][2200/3757] lr: 9.1208e-03 eta: 15:06:32 time: 0.2882 data_time: 0.0177 memory: 6332 grad_norm: 5.0799 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3140 loss: 2.3140 2022/08/19 11:21:21 - mmengine - INFO - Epoch(train) [207][2300/3757] lr: 9.1208e-03 eta: 15:06:03 time: 0.2860 data_time: 0.0165 memory: 6332 grad_norm: 5.2381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0982 loss: 2.0982 2022/08/19 11:21:50 - mmengine - INFO - Epoch(train) [207][2400/3757] lr: 9.1208e-03 eta: 15:05:33 time: 0.2872 data_time: 0.0168 memory: 6332 grad_norm: 5.2926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4176 loss: 2.4176 2022/08/19 11:22:19 - mmengine - INFO - Epoch(train) [207][2500/3757] lr: 9.1208e-03 eta: 15:05:04 time: 0.2893 data_time: 0.0181 memory: 6332 grad_norm: 5.1542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/08/19 11:22:49 - mmengine - INFO - Epoch(train) [207][2600/3757] lr: 9.1208e-03 eta: 15:04:34 time: 0.2866 data_time: 0.0177 memory: 6332 grad_norm: 5.2131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0296 loss: 2.0296 2022/08/19 11:23:18 - mmengine - INFO - Epoch(train) [207][2700/3757] lr: 9.1208e-03 eta: 15:04:05 time: 0.2874 data_time: 0.0164 memory: 6332 grad_norm: 5.1138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/19 11:23:48 - mmengine - INFO - Epoch(train) [207][2800/3757] lr: 9.1208e-03 eta: 15:03:35 time: 0.2933 data_time: 0.0199 memory: 6332 grad_norm: 5.0162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8675 loss: 1.8675 2022/08/19 11:24:17 - mmengine - INFO - Epoch(train) [207][2900/3757] lr: 9.1208e-03 eta: 15:03:06 time: 0.2891 data_time: 0.0168 memory: 6332 grad_norm: 5.2264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0572 loss: 2.0572 2022/08/19 11:24:46 - mmengine - INFO - Epoch(train) [207][3000/3757] lr: 9.1208e-03 eta: 15:02:36 time: 0.2919 data_time: 0.0171 memory: 6332 grad_norm: 5.1258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1875 loss: 2.1875 2022/08/19 11:25:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:25:15 - mmengine - INFO - Epoch(train) [207][3100/3757] lr: 9.1208e-03 eta: 15:02:06 time: 0.2898 data_time: 0.0173 memory: 6332 grad_norm: 5.1350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/08/19 11:25:44 - mmengine - INFO - Epoch(train) [207][3200/3757] lr: 9.1208e-03 eta: 15:01:37 time: 0.2921 data_time: 0.0180 memory: 6332 grad_norm: 4.9694 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9336 loss: 1.9336 2022/08/19 11:26:14 - mmengine - INFO - Epoch(train) [207][3300/3757] lr: 9.1208e-03 eta: 15:01:07 time: 0.2879 data_time: 0.0178 memory: 6332 grad_norm: 5.0943 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1468 loss: 2.1468 2022/08/19 11:26:43 - mmengine - INFO - Epoch(train) [207][3400/3757] lr: 9.1208e-03 eta: 15:00:37 time: 0.2916 data_time: 0.0208 memory: 6332 grad_norm: 4.9291 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0931 loss: 2.0931 2022/08/19 11:27:12 - mmengine - INFO - Epoch(train) [207][3500/3757] lr: 9.1208e-03 eta: 15:00:08 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 5.2072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2920 loss: 2.2920 2022/08/19 11:27:41 - mmengine - INFO - Epoch(train) [207][3600/3757] lr: 9.1208e-03 eta: 14:59:38 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 5.2118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0288 loss: 2.0288 2022/08/19 11:28:10 - mmengine - INFO - Epoch(train) [207][3700/3757] lr: 9.1208e-03 eta: 14:59:08 time: 0.2870 data_time: 0.0178 memory: 6332 grad_norm: 5.2067 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0644 loss: 2.0644 2022/08/19 11:28:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:28:26 - mmengine - INFO - Epoch(train) [207][3757/3757] lr: 9.1208e-03 eta: 14:58:56 time: 0.2707 data_time: 0.0165 memory: 6332 grad_norm: 5.1295 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.1637 loss: 2.1637 2022/08/19 11:28:58 - mmengine - INFO - Epoch(train) [208][100/3757] lr: 8.7705e-03 eta: 14:58:18 time: 0.2860 data_time: 0.0183 memory: 6332 grad_norm: 5.0778 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9186 loss: 1.9186 2022/08/19 11:29:27 - mmengine - INFO - Epoch(train) [208][200/3757] lr: 8.7705e-03 eta: 14:57:49 time: 0.2937 data_time: 0.0178 memory: 6332 grad_norm: 5.3429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9485 loss: 1.9485 2022/08/19 11:29:56 - mmengine - INFO - Epoch(train) [208][300/3757] lr: 8.7705e-03 eta: 14:57:19 time: 0.2886 data_time: 0.0178 memory: 6332 grad_norm: 5.0525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0710 loss: 2.0710 2022/08/19 11:29:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:30:25 - mmengine - INFO - Epoch(train) [208][400/3757] lr: 8.7705e-03 eta: 14:56:49 time: 0.2895 data_time: 0.0189 memory: 6332 grad_norm: 5.1697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7739 loss: 1.7739 2022/08/19 11:30:54 - mmengine - INFO - Epoch(train) [208][500/3757] lr: 8.7705e-03 eta: 14:56:19 time: 0.2909 data_time: 0.0184 memory: 6332 grad_norm: 5.2356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4024 loss: 2.4024 2022/08/19 11:31:23 - mmengine - INFO - Epoch(train) [208][600/3757] lr: 8.7705e-03 eta: 14:55:50 time: 0.2890 data_time: 0.0183 memory: 6332 grad_norm: 5.2453 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2883 loss: 2.2883 2022/08/19 11:31:52 - mmengine - INFO - Epoch(train) [208][700/3757] lr: 8.7705e-03 eta: 14:55:20 time: 0.2864 data_time: 0.0174 memory: 6332 grad_norm: 5.1934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0707 loss: 2.0707 2022/08/19 11:32:22 - mmengine - INFO - Epoch(train) [208][800/3757] lr: 8.7705e-03 eta: 14:54:50 time: 0.2875 data_time: 0.0167 memory: 6332 grad_norm: 5.1665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8748 loss: 1.8748 2022/08/19 11:32:51 - mmengine - INFO - Epoch(train) [208][900/3757] lr: 8.7705e-03 eta: 14:54:21 time: 0.2882 data_time: 0.0173 memory: 6332 grad_norm: 4.9768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9864 loss: 1.9864 2022/08/19 11:33:20 - mmengine - INFO - Epoch(train) [208][1000/3757] lr: 8.7705e-03 eta: 14:53:51 time: 0.2873 data_time: 0.0182 memory: 6332 grad_norm: 5.1259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8120 loss: 1.8120 2022/08/19 11:33:49 - mmengine - INFO - Epoch(train) [208][1100/3757] lr: 8.7705e-03 eta: 14:53:21 time: 0.2885 data_time: 0.0182 memory: 6332 grad_norm: 5.1655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8549 loss: 1.8549 2022/08/19 11:34:18 - mmengine - INFO - Epoch(train) [208][1200/3757] lr: 8.7705e-03 eta: 14:52:51 time: 0.2892 data_time: 0.0176 memory: 6332 grad_norm: 5.2775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0669 loss: 2.0669 2022/08/19 11:34:47 - mmengine - INFO - Epoch(train) [208][1300/3757] lr: 8.7705e-03 eta: 14:52:22 time: 0.2878 data_time: 0.0185 memory: 6332 grad_norm: 5.2712 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3373 loss: 2.3373 2022/08/19 11:34:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:35:16 - mmengine - INFO - Epoch(train) [208][1400/3757] lr: 8.7705e-03 eta: 14:51:52 time: 0.2880 data_time: 0.0177 memory: 6332 grad_norm: 5.1488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1988 loss: 2.1988 2022/08/19 11:35:46 - mmengine - INFO - Epoch(train) [208][1500/3757] lr: 8.7705e-03 eta: 14:51:22 time: 0.2886 data_time: 0.0176 memory: 6332 grad_norm: 5.1980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3204 loss: 2.3204 2022/08/19 11:36:15 - mmengine - INFO - Epoch(train) [208][1600/3757] lr: 8.7705e-03 eta: 14:50:53 time: 0.2901 data_time: 0.0171 memory: 6332 grad_norm: 5.4326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/08/19 11:36:44 - mmengine - INFO - Epoch(train) [208][1700/3757] lr: 8.7705e-03 eta: 14:50:23 time: 0.2874 data_time: 0.0172 memory: 6332 grad_norm: 5.1560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0513 loss: 2.0513 2022/08/19 11:37:13 - mmengine - INFO - Epoch(train) [208][1800/3757] lr: 8.7705e-03 eta: 14:49:53 time: 0.2870 data_time: 0.0170 memory: 6332 grad_norm: 5.2570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0501 loss: 2.0501 2022/08/19 11:37:42 - mmengine - INFO - Epoch(train) [208][1900/3757] lr: 8.7705e-03 eta: 14:49:23 time: 0.2879 data_time: 0.0171 memory: 6332 grad_norm: 5.2046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0419 loss: 2.0419 2022/08/19 11:38:11 - mmengine - INFO - Epoch(train) [208][2000/3757] lr: 8.7705e-03 eta: 14:48:54 time: 0.2921 data_time: 0.0177 memory: 6332 grad_norm: 5.3206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0664 loss: 2.0664 2022/08/19 11:38:41 - mmengine - INFO - Epoch(train) [208][2100/3757] lr: 8.7705e-03 eta: 14:48:24 time: 0.2871 data_time: 0.0172 memory: 6332 grad_norm: 5.1169 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1714 loss: 2.1714 2022/08/19 11:39:13 - mmengine - INFO - Epoch(train) [208][2200/3757] lr: 8.7705e-03 eta: 14:47:58 time: 0.3344 data_time: 0.0168 memory: 6332 grad_norm: 5.2379 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/08/19 11:39:46 - mmengine - INFO - Epoch(train) [208][2300/3757] lr: 8.7705e-03 eta: 14:47:33 time: 0.3738 data_time: 0.0282 memory: 6332 grad_norm: 5.2371 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8982 loss: 1.8982 2022/08/19 11:39:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:40:24 - mmengine - INFO - Epoch(train) [208][2400/3757] lr: 8.7705e-03 eta: 14:47:13 time: 0.3142 data_time: 0.0171 memory: 6332 grad_norm: 5.3433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2867 loss: 2.2867 2022/08/19 11:40:55 - mmengine - INFO - Epoch(train) [208][2500/3757] lr: 8.7705e-03 eta: 14:46:45 time: 0.2868 data_time: 0.0182 memory: 6332 grad_norm: 5.1809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2601 loss: 2.2601 2022/08/19 11:41:24 - mmengine - INFO - Epoch(train) [208][2600/3757] lr: 8.7705e-03 eta: 14:46:16 time: 0.2886 data_time: 0.0178 memory: 6332 grad_norm: 5.2372 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7492 loss: 1.7492 2022/08/19 11:41:53 - mmengine - INFO - Epoch(train) [208][2700/3757] lr: 8.7705e-03 eta: 14:45:46 time: 0.2877 data_time: 0.0172 memory: 6332 grad_norm: 5.1919 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0082 loss: 2.0082 2022/08/19 11:42:23 - mmengine - INFO - Epoch(train) [208][2800/3757] lr: 8.7705e-03 eta: 14:45:16 time: 0.2880 data_time: 0.0196 memory: 6332 grad_norm: 5.4025 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1751 loss: 2.1751 2022/08/19 11:42:52 - mmengine - INFO - Epoch(train) [208][2900/3757] lr: 8.7705e-03 eta: 14:44:47 time: 0.2884 data_time: 0.0174 memory: 6332 grad_norm: 5.3301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0771 loss: 2.0771 2022/08/19 11:43:21 - mmengine - INFO - Epoch(train) [208][3000/3757] lr: 8.7705e-03 eta: 14:44:17 time: 0.2870 data_time: 0.0172 memory: 6332 grad_norm: 5.3316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/08/19 11:43:50 - mmengine - INFO - Epoch(train) [208][3100/3757] lr: 8.7705e-03 eta: 14:43:47 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 5.0938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0312 loss: 2.0312 2022/08/19 11:44:19 - mmengine - INFO - Epoch(train) [208][3200/3757] lr: 8.7705e-03 eta: 14:43:18 time: 0.2890 data_time: 0.0171 memory: 6332 grad_norm: 5.1256 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8204 loss: 1.8204 2022/08/19 11:44:48 - mmengine - INFO - Epoch(train) [208][3300/3757] lr: 8.7705e-03 eta: 14:42:48 time: 0.2912 data_time: 0.0170 memory: 6332 grad_norm: 5.0221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0430 loss: 2.0430 2022/08/19 11:44:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:45:17 - mmengine - INFO - Epoch(train) [208][3400/3757] lr: 8.7705e-03 eta: 14:42:18 time: 0.2901 data_time: 0.0189 memory: 6332 grad_norm: 5.2735 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0468 loss: 2.0468 2022/08/19 11:45:47 - mmengine - INFO - Epoch(train) [208][3500/3757] lr: 8.7705e-03 eta: 14:41:48 time: 0.2892 data_time: 0.0178 memory: 6332 grad_norm: 5.0566 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8976 loss: 1.8976 2022/08/19 11:46:16 - mmengine - INFO - Epoch(train) [208][3600/3757] lr: 8.7705e-03 eta: 14:41:19 time: 0.2903 data_time: 0.0171 memory: 6332 grad_norm: 5.2864 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3649 loss: 2.3649 2022/08/19 11:46:45 - mmengine - INFO - Epoch(train) [208][3700/3757] lr: 8.7705e-03 eta: 14:40:49 time: 0.2895 data_time: 0.0179 memory: 6332 grad_norm: 5.1261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9161 loss: 1.9161 2022/08/19 11:47:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:47:01 - mmengine - INFO - Epoch(train) [208][3757/3757] lr: 8.7705e-03 eta: 14:40:37 time: 0.2702 data_time: 0.0156 memory: 6332 grad_norm: 5.2941 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9158 loss: 1.9158 2022/08/19 11:47:01 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/19 11:47:36 - mmengine - INFO - Epoch(train) [209][100/3757] lr: 8.4265e-03 eta: 14:39:58 time: 0.2906 data_time: 0.0178 memory: 6332 grad_norm: 5.0501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8559 loss: 1.8559 2022/08/19 11:48:05 - mmengine - INFO - Epoch(train) [209][200/3757] lr: 8.4265e-03 eta: 14:39:29 time: 0.2872 data_time: 0.0179 memory: 6332 grad_norm: 5.1477 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1074 loss: 2.1074 2022/08/19 11:48:35 - mmengine - INFO - Epoch(train) [209][300/3757] lr: 8.4265e-03 eta: 14:39:00 time: 0.2912 data_time: 0.0192 memory: 6332 grad_norm: 5.3144 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0155 loss: 2.0155 2022/08/19 11:49:04 - mmengine - INFO - Epoch(train) [209][400/3757] lr: 8.4265e-03 eta: 14:38:30 time: 0.2862 data_time: 0.0176 memory: 6332 grad_norm: 5.3450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/08/19 11:49:34 - mmengine - INFO - Epoch(train) [209][500/3757] lr: 8.4265e-03 eta: 14:38:01 time: 0.2886 data_time: 0.0172 memory: 6332 grad_norm: 5.1234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9746 loss: 1.9746 2022/08/19 11:49:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:50:03 - mmengine - INFO - Epoch(train) [209][600/3757] lr: 8.4265e-03 eta: 14:37:31 time: 0.2883 data_time: 0.0161 memory: 6332 grad_norm: 5.4584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2967 loss: 2.2967 2022/08/19 11:50:32 - mmengine - INFO - Epoch(train) [209][700/3757] lr: 8.4265e-03 eta: 14:37:02 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 5.2387 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8264 loss: 1.8264 2022/08/19 11:51:01 - mmengine - INFO - Epoch(train) [209][800/3757] lr: 8.4265e-03 eta: 14:36:32 time: 0.2880 data_time: 0.0169 memory: 6332 grad_norm: 5.1808 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9135 loss: 1.9135 2022/08/19 11:51:31 - mmengine - INFO - Epoch(train) [209][900/3757] lr: 8.4265e-03 eta: 14:36:02 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 5.3005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9184 loss: 1.9184 2022/08/19 11:52:00 - mmengine - INFO - Epoch(train) [209][1000/3757] lr: 8.4265e-03 eta: 14:35:33 time: 0.2880 data_time: 0.0172 memory: 6332 grad_norm: 5.3837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9390 loss: 1.9390 2022/08/19 11:52:29 - mmengine - INFO - Epoch(train) [209][1100/3757] lr: 8.4265e-03 eta: 14:35:03 time: 0.2906 data_time: 0.0169 memory: 6332 grad_norm: 5.1560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9811 loss: 1.9811 2022/08/19 11:52:58 - mmengine - INFO - Epoch(train) [209][1200/3757] lr: 8.4265e-03 eta: 14:34:34 time: 0.2905 data_time: 0.0178 memory: 6332 grad_norm: 5.1381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0244 loss: 2.0244 2022/08/19 11:53:28 - mmengine - INFO - Epoch(train) [209][1300/3757] lr: 8.4265e-03 eta: 14:34:04 time: 0.2884 data_time: 0.0178 memory: 6332 grad_norm: 5.2891 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0735 loss: 2.0735 2022/08/19 11:53:57 - mmengine - INFO - Epoch(train) [209][1400/3757] lr: 8.4265e-03 eta: 14:33:35 time: 0.2916 data_time: 0.0185 memory: 6332 grad_norm: 5.3284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9427 loss: 1.9427 2022/08/19 11:54:26 - mmengine - INFO - Epoch(train) [209][1500/3757] lr: 8.4265e-03 eta: 14:33:05 time: 0.2889 data_time: 0.0168 memory: 6332 grad_norm: 5.3856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9135 loss: 1.9135 2022/08/19 11:54:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:54:55 - mmengine - INFO - Epoch(train) [209][1600/3757] lr: 8.4265e-03 eta: 14:32:36 time: 0.2898 data_time: 0.0178 memory: 6332 grad_norm: 5.1242 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7994 loss: 1.7994 2022/08/19 11:55:25 - mmengine - INFO - Epoch(train) [209][1700/3757] lr: 8.4265e-03 eta: 14:32:06 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 5.4513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0505 loss: 2.0505 2022/08/19 11:55:54 - mmengine - INFO - Epoch(train) [209][1800/3757] lr: 8.4265e-03 eta: 14:31:36 time: 0.2876 data_time: 0.0168 memory: 6332 grad_norm: 5.3160 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2180 loss: 2.2180 2022/08/19 11:56:23 - mmengine - INFO - Epoch(train) [209][1900/3757] lr: 8.4265e-03 eta: 14:31:07 time: 0.2897 data_time: 0.0176 memory: 6332 grad_norm: 5.3629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2745 loss: 2.2745 2022/08/19 11:56:52 - mmengine - INFO - Epoch(train) [209][2000/3757] lr: 8.4265e-03 eta: 14:30:37 time: 0.2870 data_time: 0.0173 memory: 6332 grad_norm: 5.3056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1357 loss: 2.1357 2022/08/19 11:57:21 - mmengine - INFO - Epoch(train) [209][2100/3757] lr: 8.4265e-03 eta: 14:30:07 time: 0.2869 data_time: 0.0170 memory: 6332 grad_norm: 5.2331 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7659 loss: 1.7659 2022/08/19 11:57:51 - mmengine - INFO - Epoch(train) [209][2200/3757] lr: 8.4265e-03 eta: 14:29:38 time: 0.2886 data_time: 0.0183 memory: 6332 grad_norm: 5.2040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0831 loss: 2.0831 2022/08/19 11:58:20 - mmengine - INFO - Epoch(train) [209][2300/3757] lr: 8.4265e-03 eta: 14:29:08 time: 0.2886 data_time: 0.0158 memory: 6332 grad_norm: 5.2511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8267 loss: 1.8267 2022/08/19 11:58:49 - mmengine - INFO - Epoch(train) [209][2400/3757] lr: 8.4265e-03 eta: 14:28:39 time: 0.2930 data_time: 0.0183 memory: 6332 grad_norm: 5.2813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1329 loss: 2.1329 2022/08/19 11:59:19 - mmengine - INFO - Epoch(train) [209][2500/3757] lr: 8.4265e-03 eta: 14:28:09 time: 0.2896 data_time: 0.0181 memory: 6332 grad_norm: 5.3461 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2014 loss: 2.2014 2022/08/19 11:59:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 11:59:48 - mmengine - INFO - Epoch(train) [209][2600/3757] lr: 8.4265e-03 eta: 14:27:40 time: 0.2930 data_time: 0.0166 memory: 6332 grad_norm: 5.0941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8185 loss: 1.8185 2022/08/19 12:00:20 - mmengine - INFO - Epoch(train) [209][2700/3757] lr: 8.4265e-03 eta: 14:27:14 time: 0.2939 data_time: 0.0184 memory: 6332 grad_norm: 5.3688 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0122 loss: 2.0122 2022/08/19 12:00:50 - mmengine - INFO - Epoch(train) [209][2800/3757] lr: 8.4265e-03 eta: 14:26:44 time: 0.2870 data_time: 0.0173 memory: 6332 grad_norm: 5.2153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9760 loss: 1.9760 2022/08/19 12:01:19 - mmengine - INFO - Epoch(train) [209][2900/3757] lr: 8.4265e-03 eta: 14:26:15 time: 0.3048 data_time: 0.0161 memory: 6332 grad_norm: 5.2193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1500 loss: 2.1500 2022/08/19 12:01:48 - mmengine - INFO - Epoch(train) [209][3000/3757] lr: 8.4265e-03 eta: 14:25:45 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 5.2754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/08/19 12:02:17 - mmengine - INFO - Epoch(train) [209][3100/3757] lr: 8.4265e-03 eta: 14:25:16 time: 0.2929 data_time: 0.0179 memory: 6332 grad_norm: 5.3193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/08/19 12:02:47 - mmengine - INFO - Epoch(train) [209][3200/3757] lr: 8.4265e-03 eta: 14:24:46 time: 0.2876 data_time: 0.0163 memory: 6332 grad_norm: 5.3237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1518 loss: 2.1518 2022/08/19 12:03:16 - mmengine - INFO - Epoch(train) [209][3300/3757] lr: 8.4265e-03 eta: 14:24:16 time: 0.2870 data_time: 0.0170 memory: 6332 grad_norm: 5.3302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2191 loss: 2.2191 2022/08/19 12:03:45 - mmengine - INFO - Epoch(train) [209][3400/3757] lr: 8.4265e-03 eta: 14:23:46 time: 0.2877 data_time: 0.0166 memory: 6332 grad_norm: 5.3486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1555 loss: 2.1555 2022/08/19 12:04:14 - mmengine - INFO - Epoch(train) [209][3500/3757] lr: 8.4265e-03 eta: 14:23:17 time: 0.2895 data_time: 0.0173 memory: 6332 grad_norm: 5.2464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9629 loss: 1.9629 2022/08/19 12:04:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:04:43 - mmengine - INFO - Epoch(train) [209][3600/3757] lr: 8.4265e-03 eta: 14:22:47 time: 0.2867 data_time: 0.0170 memory: 6332 grad_norm: 5.2035 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0063 loss: 2.0063 2022/08/19 12:05:12 - mmengine - INFO - Epoch(train) [209][3700/3757] lr: 8.4265e-03 eta: 14:22:18 time: 0.2858 data_time: 0.0164 memory: 6332 grad_norm: 5.3689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0081 loss: 2.0081 2022/08/19 12:05:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:05:29 - mmengine - INFO - Epoch(train) [209][3757/3757] lr: 8.4265e-03 eta: 14:22:06 time: 0.2711 data_time: 0.0173 memory: 6332 grad_norm: 5.2776 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.2532 loss: 2.2532 2022/08/19 12:06:00 - mmengine - INFO - Epoch(train) [210][100/3757] lr: 8.0888e-03 eta: 14:21:28 time: 0.2886 data_time: 0.0172 memory: 6332 grad_norm: 5.1755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9705 loss: 1.9705 2022/08/19 12:06:30 - mmengine - INFO - Epoch(train) [210][200/3757] lr: 8.0888e-03 eta: 14:20:59 time: 0.2958 data_time: 0.0169 memory: 6332 grad_norm: 5.3354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4021 loss: 2.4021 2022/08/19 12:06:59 - mmengine - INFO - Epoch(train) [210][300/3757] lr: 8.0888e-03 eta: 14:20:29 time: 0.2897 data_time: 0.0175 memory: 6332 grad_norm: 5.2120 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1886 loss: 2.1886 2022/08/19 12:07:28 - mmengine - INFO - Epoch(train) [210][400/3757] lr: 8.0888e-03 eta: 14:20:00 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 5.2286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2538 loss: 2.2538 2022/08/19 12:07:58 - mmengine - INFO - Epoch(train) [210][500/3757] lr: 8.0888e-03 eta: 14:19:31 time: 0.3251 data_time: 0.0181 memory: 6332 grad_norm: 5.3789 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0430 loss: 2.0430 2022/08/19 12:08:27 - mmengine - INFO - Epoch(train) [210][600/3757] lr: 8.0888e-03 eta: 14:19:01 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 5.2783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6957 loss: 1.6957 2022/08/19 12:08:56 - mmengine - INFO - Epoch(train) [210][700/3757] lr: 8.0888e-03 eta: 14:18:32 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 5.3338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9106 loss: 1.9106 2022/08/19 12:09:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:09:25 - mmengine - INFO - Epoch(train) [210][800/3757] lr: 8.0888e-03 eta: 14:18:02 time: 0.2873 data_time: 0.0169 memory: 6332 grad_norm: 5.3767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1806 loss: 2.1806 2022/08/19 12:09:55 - mmengine - INFO - Epoch(train) [210][900/3757] lr: 8.0888e-03 eta: 14:17:32 time: 0.2866 data_time: 0.0167 memory: 6332 grad_norm: 5.5077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0319 loss: 2.0319 2022/08/19 12:10:24 - mmengine - INFO - Epoch(train) [210][1000/3757] lr: 8.0888e-03 eta: 14:17:03 time: 0.2868 data_time: 0.0168 memory: 6332 grad_norm: 5.2554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6751 loss: 1.6751 2022/08/19 12:10:53 - mmengine - INFO - Epoch(train) [210][1100/3757] lr: 8.0888e-03 eta: 14:16:33 time: 0.2869 data_time: 0.0167 memory: 6332 grad_norm: 5.5837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9342 loss: 1.9342 2022/08/19 12:11:22 - mmengine - INFO - Epoch(train) [210][1200/3757] lr: 8.0888e-03 eta: 14:16:03 time: 0.2887 data_time: 0.0195 memory: 6332 grad_norm: 5.3926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8423 loss: 1.8423 2022/08/19 12:11:51 - mmengine - INFO - Epoch(train) [210][1300/3757] lr: 8.0888e-03 eta: 14:15:34 time: 0.2953 data_time: 0.0172 memory: 6332 grad_norm: 5.3923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9569 loss: 1.9569 2022/08/19 12:12:21 - mmengine - INFO - Epoch(train) [210][1400/3757] lr: 8.0888e-03 eta: 14:15:04 time: 0.2880 data_time: 0.0181 memory: 6332 grad_norm: 5.2105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7083 loss: 1.7083 2022/08/19 12:12:50 - mmengine - INFO - Epoch(train) [210][1500/3757] lr: 8.0888e-03 eta: 14:14:35 time: 0.2896 data_time: 0.0176 memory: 6332 grad_norm: 5.4124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/08/19 12:13:19 - mmengine - INFO - Epoch(train) [210][1600/3757] lr: 8.0888e-03 eta: 14:14:05 time: 0.2888 data_time: 0.0175 memory: 6332 grad_norm: 5.3374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1735 loss: 2.1735 2022/08/19 12:13:48 - mmengine - INFO - Epoch(train) [210][1700/3757] lr: 8.0888e-03 eta: 14:13:36 time: 0.2927 data_time: 0.0177 memory: 6332 grad_norm: 5.1155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8589 loss: 1.8589 2022/08/19 12:14:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:14:18 - mmengine - INFO - Epoch(train) [210][1800/3757] lr: 8.0888e-03 eta: 14:13:06 time: 0.2905 data_time: 0.0184 memory: 6332 grad_norm: 5.4734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8714 loss: 1.8714 2022/08/19 12:14:47 - mmengine - INFO - Epoch(train) [210][1900/3757] lr: 8.0888e-03 eta: 14:12:37 time: 0.2873 data_time: 0.0169 memory: 6332 grad_norm: 5.1664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1223 loss: 2.1223 2022/08/19 12:15:16 - mmengine - INFO - Epoch(train) [210][2000/3757] lr: 8.0888e-03 eta: 14:12:07 time: 0.2888 data_time: 0.0172 memory: 6332 grad_norm: 5.2259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9032 loss: 1.9032 2022/08/19 12:15:45 - mmengine - INFO - Epoch(train) [210][2100/3757] lr: 8.0888e-03 eta: 14:11:38 time: 0.2883 data_time: 0.0170 memory: 6332 grad_norm: 5.4051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1996 loss: 2.1996 2022/08/19 12:16:15 - mmengine - INFO - Epoch(train) [210][2200/3757] lr: 8.0888e-03 eta: 14:11:08 time: 0.2863 data_time: 0.0171 memory: 6332 grad_norm: 5.1971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8928 loss: 1.8928 2022/08/19 12:16:44 - mmengine - INFO - Epoch(train) [210][2300/3757] lr: 8.0888e-03 eta: 14:10:39 time: 0.2878 data_time: 0.0190 memory: 6332 grad_norm: 5.3130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0168 loss: 2.0168 2022/08/19 12:17:13 - mmengine - INFO - Epoch(train) [210][2400/3757] lr: 8.0888e-03 eta: 14:10:09 time: 0.2882 data_time: 0.0184 memory: 6332 grad_norm: 5.2167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0834 loss: 2.0834 2022/08/19 12:17:42 - mmengine - INFO - Epoch(train) [210][2500/3757] lr: 8.0888e-03 eta: 14:09:39 time: 0.2885 data_time: 0.0172 memory: 6332 grad_norm: 5.4558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/08/19 12:18:11 - mmengine - INFO - Epoch(train) [210][2600/3757] lr: 8.0888e-03 eta: 14:09:10 time: 0.2899 data_time: 0.0182 memory: 6332 grad_norm: 5.1901 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0872 loss: 2.0872 2022/08/19 12:18:41 - mmengine - INFO - Epoch(train) [210][2700/3757] lr: 8.0888e-03 eta: 14:08:40 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 5.5323 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2033 loss: 2.2033 2022/08/19 12:19:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:19:10 - mmengine - INFO - Epoch(train) [210][2800/3757] lr: 8.0888e-03 eta: 14:08:11 time: 0.2927 data_time: 0.0183 memory: 6332 grad_norm: 5.4396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1665 loss: 2.1665 2022/08/19 12:19:39 - mmengine - INFO - Epoch(train) [210][2900/3757] lr: 8.0888e-03 eta: 14:07:41 time: 0.2934 data_time: 0.0169 memory: 6332 grad_norm: 5.2362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0781 loss: 2.0781 2022/08/19 12:20:08 - mmengine - INFO - Epoch(train) [210][3000/3757] lr: 8.0888e-03 eta: 14:07:11 time: 0.2901 data_time: 0.0179 memory: 6332 grad_norm: 5.3874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9746 loss: 1.9746 2022/08/19 12:20:37 - mmengine - INFO - Epoch(train) [210][3100/3757] lr: 8.0888e-03 eta: 14:06:42 time: 0.2881 data_time: 0.0180 memory: 6332 grad_norm: 5.2742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/08/19 12:21:07 - mmengine - INFO - Epoch(train) [210][3200/3757] lr: 8.0888e-03 eta: 14:06:12 time: 0.2885 data_time: 0.0170 memory: 6332 grad_norm: 5.1817 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8879 loss: 1.8879 2022/08/19 12:21:36 - mmengine - INFO - Epoch(train) [210][3300/3757] lr: 8.0888e-03 eta: 14:05:43 time: 0.2865 data_time: 0.0171 memory: 6332 grad_norm: 5.1989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2115 loss: 2.2115 2022/08/19 12:22:05 - mmengine - INFO - Epoch(train) [210][3400/3757] lr: 8.0888e-03 eta: 14:05:13 time: 0.2878 data_time: 0.0161 memory: 6332 grad_norm: 5.3993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1414 loss: 2.1414 2022/08/19 12:22:34 - mmengine - INFO - Epoch(train) [210][3500/3757] lr: 8.0888e-03 eta: 14:04:44 time: 0.2874 data_time: 0.0173 memory: 6332 grad_norm: 5.5494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/19 12:23:04 - mmengine - INFO - Epoch(train) [210][3600/3757] lr: 8.0888e-03 eta: 14:04:15 time: 0.2878 data_time: 0.0179 memory: 6332 grad_norm: 5.5920 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2222 loss: 2.2222 2022/08/19 12:23:34 - mmengine - INFO - Epoch(train) [210][3700/3757] lr: 8.0888e-03 eta: 14:03:46 time: 0.3063 data_time: 0.0180 memory: 6332 grad_norm: 5.3278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9841 loss: 1.9841 2022/08/19 12:23:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:23:50 - mmengine - INFO - Epoch(train) [210][3757/3757] lr: 8.0888e-03 eta: 14:03:34 time: 0.2724 data_time: 0.0167 memory: 6332 grad_norm: 5.4989 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.7900 loss: 1.7900 2022/08/19 12:24:13 - mmengine - INFO - Epoch(val) [210][100/310] eta: 0:00:46 time: 0.2212 data_time: 0.1243 memory: 1147 2022/08/19 12:24:33 - mmengine - INFO - Epoch(val) [210][200/310] eta: 0:00:19 time: 0.1795 data_time: 0.0848 memory: 1147 2022/08/19 12:24:55 - mmengine - INFO - Epoch(val) [210][300/310] eta: 0:00:02 time: 0.2058 data_time: 0.1128 memory: 1147 2022/08/19 12:24:58 - mmengine - INFO - Epoch(val) [210][310/310] acc/top1: 0.5997 acc/top5: 0.8259 acc/mean1: 0.5995 2022/08/19 12:24:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_206.pth is removed 2022/08/19 12:25:02 - mmengine - INFO - The best checkpoint with 0.5997 acc/top1 at 211 epoch is saved to best_acc/top1_epoch_211.pth. 2022/08/19 12:25:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:25:32 - mmengine - INFO - Epoch(train) [211][100/3757] lr: 7.7573e-03 eta: 14:02:55 time: 0.2880 data_time: 0.0169 memory: 6332 grad_norm: 5.3611 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/08/19 12:26:01 - mmengine - INFO - Epoch(train) [211][200/3757] lr: 7.7573e-03 eta: 14:02:26 time: 0.2959 data_time: 0.0188 memory: 6332 grad_norm: 5.1909 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5286 loss: 1.5286 2022/08/19 12:26:31 - mmengine - INFO - Epoch(train) [211][300/3757] lr: 7.7573e-03 eta: 14:01:56 time: 0.2884 data_time: 0.0178 memory: 6332 grad_norm: 5.3778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0101 loss: 2.0101 2022/08/19 12:27:00 - mmengine - INFO - Epoch(train) [211][400/3757] lr: 7.7573e-03 eta: 14:01:27 time: 0.2893 data_time: 0.0169 memory: 6332 grad_norm: 5.4237 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1823 loss: 2.1823 2022/08/19 12:27:29 - mmengine - INFO - Epoch(train) [211][500/3757] lr: 7.7573e-03 eta: 14:00:57 time: 0.2884 data_time: 0.0183 memory: 6332 grad_norm: 5.5391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2770 loss: 2.2770 2022/08/19 12:27:58 - mmengine - INFO - Epoch(train) [211][600/3757] lr: 7.7573e-03 eta: 14:00:27 time: 0.2874 data_time: 0.0169 memory: 6332 grad_norm: 5.1969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0825 loss: 2.0825 2022/08/19 12:28:27 - mmengine - INFO - Epoch(train) [211][700/3757] lr: 7.7573e-03 eta: 13:59:58 time: 0.2883 data_time: 0.0177 memory: 6332 grad_norm: 5.3131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8961 loss: 1.8961 2022/08/19 12:28:57 - mmengine - INFO - Epoch(train) [211][800/3757] lr: 7.7573e-03 eta: 13:59:28 time: 0.2887 data_time: 0.0181 memory: 6332 grad_norm: 5.2765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/08/19 12:29:26 - mmengine - INFO - Epoch(train) [211][900/3757] lr: 7.7573e-03 eta: 13:58:59 time: 0.2875 data_time: 0.0175 memory: 6332 grad_norm: 5.4680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0767 loss: 2.0767 2022/08/19 12:29:55 - mmengine - INFO - Epoch(train) [211][1000/3757] lr: 7.7573e-03 eta: 13:58:29 time: 0.2872 data_time: 0.0173 memory: 6332 grad_norm: 5.4480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9066 loss: 1.9066 2022/08/19 12:30:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:30:24 - mmengine - INFO - Epoch(train) [211][1100/3757] lr: 7.7573e-03 eta: 13:57:59 time: 0.2917 data_time: 0.0185 memory: 6332 grad_norm: 5.5195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7656 loss: 1.7656 2022/08/19 12:30:53 - mmengine - INFO - Epoch(train) [211][1200/3757] lr: 7.7573e-03 eta: 13:57:30 time: 0.2891 data_time: 0.0175 memory: 6332 grad_norm: 5.3780 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0525 loss: 2.0525 2022/08/19 12:31:22 - mmengine - INFO - Epoch(train) [211][1300/3757] lr: 7.7573e-03 eta: 13:57:00 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 5.2843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6810 loss: 1.6810 2022/08/19 12:31:52 - mmengine - INFO - Epoch(train) [211][1400/3757] lr: 7.7573e-03 eta: 13:56:31 time: 0.2914 data_time: 0.0202 memory: 6332 grad_norm: 5.4616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/08/19 12:32:21 - mmengine - INFO - Epoch(train) [211][1500/3757] lr: 7.7573e-03 eta: 13:56:01 time: 0.2892 data_time: 0.0176 memory: 6332 grad_norm: 5.2093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0089 loss: 2.0089 2022/08/19 12:32:50 - mmengine - INFO - Epoch(train) [211][1600/3757] lr: 7.7573e-03 eta: 13:55:32 time: 0.2904 data_time: 0.0192 memory: 6332 grad_norm: 5.3143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0648 loss: 2.0648 2022/08/19 12:33:19 - mmengine - INFO - Epoch(train) [211][1700/3757] lr: 7.7573e-03 eta: 13:55:02 time: 0.2892 data_time: 0.0178 memory: 6332 grad_norm: 5.3901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8083 loss: 1.8083 2022/08/19 12:33:49 - mmengine - INFO - Epoch(train) [211][1800/3757] lr: 7.7573e-03 eta: 13:54:33 time: 0.2887 data_time: 0.0163 memory: 6332 grad_norm: 5.3081 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9472 loss: 1.9472 2022/08/19 12:34:18 - mmengine - INFO - Epoch(train) [211][1900/3757] lr: 7.7573e-03 eta: 13:54:03 time: 0.2883 data_time: 0.0162 memory: 6332 grad_norm: 5.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/08/19 12:34:47 - mmengine - INFO - Epoch(train) [211][2000/3757] lr: 7.7573e-03 eta: 13:53:34 time: 0.2871 data_time: 0.0173 memory: 6332 grad_norm: 5.3136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8905 loss: 1.8905 2022/08/19 12:34:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:35:16 - mmengine - INFO - Epoch(train) [211][2100/3757] lr: 7.7573e-03 eta: 13:53:04 time: 0.2872 data_time: 0.0172 memory: 6332 grad_norm: 5.4723 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9779 loss: 1.9779 2022/08/19 12:35:45 - mmengine - INFO - Epoch(train) [211][2200/3757] lr: 7.7573e-03 eta: 13:52:34 time: 0.2885 data_time: 0.0170 memory: 6332 grad_norm: 5.4028 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/08/19 12:36:15 - mmengine - INFO - Epoch(train) [211][2300/3757] lr: 7.7573e-03 eta: 13:52:05 time: 0.2885 data_time: 0.0193 memory: 6332 grad_norm: 5.5050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8824 loss: 1.8824 2022/08/19 12:36:44 - mmengine - INFO - Epoch(train) [211][2400/3757] lr: 7.7573e-03 eta: 13:51:35 time: 0.2897 data_time: 0.0185 memory: 6332 grad_norm: 5.3861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9619 loss: 1.9619 2022/08/19 12:37:13 - mmengine - INFO - Epoch(train) [211][2500/3757] lr: 7.7573e-03 eta: 13:51:06 time: 0.2888 data_time: 0.0172 memory: 6332 grad_norm: 5.5013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3028 loss: 2.3028 2022/08/19 12:37:42 - mmengine - INFO - Epoch(train) [211][2600/3757] lr: 7.7573e-03 eta: 13:50:36 time: 0.2893 data_time: 0.0179 memory: 6332 grad_norm: 5.2953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3253 loss: 2.3253 2022/08/19 12:38:11 - mmengine - INFO - Epoch(train) [211][2700/3757] lr: 7.7573e-03 eta: 13:50:06 time: 0.2893 data_time: 0.0177 memory: 6332 grad_norm: 5.3715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9566 loss: 1.9566 2022/08/19 12:38:41 - mmengine - INFO - Epoch(train) [211][2800/3757] lr: 7.7573e-03 eta: 13:49:37 time: 0.2919 data_time: 0.0167 memory: 6332 grad_norm: 5.4020 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9839 loss: 1.9839 2022/08/19 12:39:10 - mmengine - INFO - Epoch(train) [211][2900/3757] lr: 7.7573e-03 eta: 13:49:07 time: 0.2880 data_time: 0.0184 memory: 6332 grad_norm: 5.4895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9906 loss: 1.9906 2022/08/19 12:39:39 - mmengine - INFO - Epoch(train) [211][3000/3757] lr: 7.7573e-03 eta: 13:48:38 time: 0.2876 data_time: 0.0175 memory: 6332 grad_norm: 5.3976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9364 loss: 1.9364 2022/08/19 12:39:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:40:08 - mmengine - INFO - Epoch(train) [211][3100/3757] lr: 7.7573e-03 eta: 13:48:08 time: 0.2888 data_time: 0.0178 memory: 6332 grad_norm: 5.1515 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1170 loss: 2.1170 2022/08/19 12:40:37 - mmengine - INFO - Epoch(train) [211][3200/3757] lr: 7.7573e-03 eta: 13:47:39 time: 0.2894 data_time: 0.0177 memory: 6332 grad_norm: 5.2989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0593 loss: 2.0593 2022/08/19 12:41:07 - mmengine - INFO - Epoch(train) [211][3300/3757] lr: 7.7573e-03 eta: 13:47:09 time: 0.2869 data_time: 0.0172 memory: 6332 grad_norm: 5.4082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3569 loss: 2.3569 2022/08/19 12:41:36 - mmengine - INFO - Epoch(train) [211][3400/3757] lr: 7.7573e-03 eta: 13:46:40 time: 0.2878 data_time: 0.0163 memory: 6332 grad_norm: 5.4841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9311 loss: 1.9311 2022/08/19 12:42:05 - mmengine - INFO - Epoch(train) [211][3500/3757] lr: 7.7573e-03 eta: 13:46:11 time: 0.3039 data_time: 0.0166 memory: 6332 grad_norm: 5.4648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9053 loss: 1.9053 2022/08/19 12:42:35 - mmengine - INFO - Epoch(train) [211][3600/3757] lr: 7.7573e-03 eta: 13:45:41 time: 0.2888 data_time: 0.0180 memory: 6332 grad_norm: 5.4939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0393 loss: 2.0393 2022/08/19 12:43:04 - mmengine - INFO - Epoch(train) [211][3700/3757] lr: 7.7573e-03 eta: 13:45:11 time: 0.2890 data_time: 0.0167 memory: 6332 grad_norm: 5.3907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1305 loss: 2.1305 2022/08/19 12:43:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:43:20 - mmengine - INFO - Epoch(train) [211][3757/3757] lr: 7.7573e-03 eta: 13:45:00 time: 0.2691 data_time: 0.0148 memory: 6332 grad_norm: 5.5113 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2271 loss: 2.2271 2022/08/19 12:43:52 - mmengine - INFO - Epoch(train) [212][100/3757] lr: 7.4322e-03 eta: 13:44:23 time: 0.2876 data_time: 0.0180 memory: 6332 grad_norm: 5.3675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8433 loss: 1.8433 2022/08/19 12:44:22 - mmengine - INFO - Epoch(train) [212][200/3757] lr: 7.4322e-03 eta: 13:43:54 time: 0.2943 data_time: 0.0180 memory: 6332 grad_norm: 5.3198 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9096 loss: 1.9096 2022/08/19 12:44:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:44:51 - mmengine - INFO - Epoch(train) [212][300/3757] lr: 7.4322e-03 eta: 13:43:24 time: 0.2876 data_time: 0.0166 memory: 6332 grad_norm: 5.3500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/08/19 12:45:20 - mmengine - INFO - Epoch(train) [212][400/3757] lr: 7.4322e-03 eta: 13:42:55 time: 0.2905 data_time: 0.0164 memory: 6332 grad_norm: 5.4607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1941 loss: 2.1941 2022/08/19 12:45:49 - mmengine - INFO - Epoch(train) [212][500/3757] lr: 7.4322e-03 eta: 13:42:25 time: 0.2877 data_time: 0.0168 memory: 6332 grad_norm: 5.4586 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7202 loss: 1.7202 2022/08/19 12:46:19 - mmengine - INFO - Epoch(train) [212][600/3757] lr: 7.4322e-03 eta: 13:41:56 time: 0.2875 data_time: 0.0175 memory: 6332 grad_norm: 5.5953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1317 loss: 2.1317 2022/08/19 12:46:48 - mmengine - INFO - Epoch(train) [212][700/3757] lr: 7.4322e-03 eta: 13:41:26 time: 0.2873 data_time: 0.0179 memory: 6332 grad_norm: 5.1601 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0735 loss: 2.0735 2022/08/19 12:47:17 - mmengine - INFO - Epoch(train) [212][800/3757] lr: 7.4322e-03 eta: 13:40:56 time: 0.2872 data_time: 0.0163 memory: 6332 grad_norm: 5.4525 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8280 loss: 1.8280 2022/08/19 12:47:46 - mmengine - INFO - Epoch(train) [212][900/3757] lr: 7.4322e-03 eta: 13:40:27 time: 0.2905 data_time: 0.0181 memory: 6332 grad_norm: 5.6128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1364 loss: 2.1364 2022/08/19 12:49:15 - mmengine - INFO - Epoch(train) [212][1000/3757] lr: 7.4322e-03 eta: 13:40:54 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 5.5063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1340 loss: 2.1340 2022/08/19 12:49:44 - mmengine - INFO - Epoch(train) [212][1100/3757] lr: 7.4322e-03 eta: 13:40:24 time: 0.2920 data_time: 0.0184 memory: 6332 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8309 loss: 1.8309 2022/08/19 12:50:14 - mmengine - INFO - Epoch(train) [212][1200/3757] lr: 7.4322e-03 eta: 13:39:55 time: 0.2873 data_time: 0.0170 memory: 6332 grad_norm: 5.5488 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9459 loss: 1.9459 2022/08/19 12:50:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:50:43 - mmengine - INFO - Epoch(train) [212][1300/3757] lr: 7.4322e-03 eta: 13:39:25 time: 0.2908 data_time: 0.0186 memory: 6332 grad_norm: 5.4984 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9602 loss: 1.9602 2022/08/19 12:51:12 - mmengine - INFO - Epoch(train) [212][1400/3757] lr: 7.4322e-03 eta: 13:38:55 time: 0.2898 data_time: 0.0183 memory: 6332 grad_norm: 5.5785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8598 loss: 1.8598 2022/08/19 12:51:41 - mmengine - INFO - Epoch(train) [212][1500/3757] lr: 7.4322e-03 eta: 13:38:26 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 5.2795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9586 loss: 1.9586 2022/08/19 12:52:10 - mmengine - INFO - Epoch(train) [212][1600/3757] lr: 7.4322e-03 eta: 13:37:56 time: 0.2884 data_time: 0.0174 memory: 6332 grad_norm: 5.5474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8953 loss: 1.8953 2022/08/19 12:52:39 - mmengine - INFO - Epoch(train) [212][1700/3757] lr: 7.4322e-03 eta: 13:37:26 time: 0.2857 data_time: 0.0162 memory: 6332 grad_norm: 5.3498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9180 loss: 1.9180 2022/08/19 12:53:08 - mmengine - INFO - Epoch(train) [212][1800/3757] lr: 7.4322e-03 eta: 13:36:57 time: 0.2880 data_time: 0.0165 memory: 6332 grad_norm: 5.5431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8800 loss: 1.8800 2022/08/19 12:53:37 - mmengine - INFO - Epoch(train) [212][1900/3757] lr: 7.4322e-03 eta: 13:36:27 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 5.7726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1829 loss: 2.1829 2022/08/19 12:54:06 - mmengine - INFO - Epoch(train) [212][2000/3757] lr: 7.4322e-03 eta: 13:35:57 time: 0.2892 data_time: 0.0180 memory: 6332 grad_norm: 5.2644 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9119 loss: 1.9119 2022/08/19 12:54:36 - mmengine - INFO - Epoch(train) [212][2100/3757] lr: 7.4322e-03 eta: 13:35:28 time: 0.2897 data_time: 0.0177 memory: 6332 grad_norm: 5.5202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/08/19 12:55:05 - mmengine - INFO - Epoch(train) [212][2200/3757] lr: 7.4322e-03 eta: 13:34:58 time: 0.2924 data_time: 0.0173 memory: 6332 grad_norm: 5.5327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1012 loss: 2.1012 2022/08/19 12:55:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 12:55:34 - mmengine - INFO - Epoch(train) [212][2300/3757] lr: 7.4322e-03 eta: 13:34:28 time: 0.2870 data_time: 0.0185 memory: 6332 grad_norm: 5.3324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8305 loss: 1.8305 2022/08/19 12:56:03 - mmengine - INFO - Epoch(train) [212][2400/3757] lr: 7.4322e-03 eta: 13:33:59 time: 0.2903 data_time: 0.0189 memory: 6332 grad_norm: 5.3665 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0290 loss: 2.0290 2022/08/19 12:56:32 - mmengine - INFO - Epoch(train) [212][2500/3757] lr: 7.4322e-03 eta: 13:33:29 time: 0.2882 data_time: 0.0172 memory: 6332 grad_norm: 5.3974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0432 loss: 2.0432 2022/08/19 12:57:01 - mmengine - INFO - Epoch(train) [212][2600/3757] lr: 7.4322e-03 eta: 13:32:59 time: 0.2892 data_time: 0.0177 memory: 6332 grad_norm: 5.4312 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0995 loss: 2.0995 2022/08/19 12:57:30 - mmengine - INFO - Epoch(train) [212][2700/3757] lr: 7.4322e-03 eta: 13:32:30 time: 0.2888 data_time: 0.0176 memory: 6332 grad_norm: 5.6282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1546 loss: 2.1546 2022/08/19 12:58:00 - mmengine - INFO - Epoch(train) [212][2800/3757] lr: 7.4322e-03 eta: 13:32:00 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 5.7583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0559 loss: 2.0559 2022/08/19 12:58:29 - mmengine - INFO - Epoch(train) [212][2900/3757] lr: 7.4322e-03 eta: 13:31:30 time: 0.2897 data_time: 0.0178 memory: 6332 grad_norm: 5.4823 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/08/19 12:58:58 - mmengine - INFO - Epoch(train) [212][3000/3757] lr: 7.4322e-03 eta: 13:31:01 time: 0.2883 data_time: 0.0178 memory: 6332 grad_norm: 5.6144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/08/19 12:59:27 - mmengine - INFO - Epoch(train) [212][3100/3757] lr: 7.4322e-03 eta: 13:30:31 time: 0.2894 data_time: 0.0183 memory: 6332 grad_norm: 5.4936 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1083 loss: 2.1083 2022/08/19 12:59:56 - mmengine - INFO - Epoch(train) [212][3200/3757] lr: 7.4322e-03 eta: 13:30:02 time: 0.2920 data_time: 0.0179 memory: 6332 grad_norm: 5.5075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7271 loss: 1.7271 2022/08/19 13:00:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:00:25 - mmengine - INFO - Epoch(train) [212][3300/3757] lr: 7.4322e-03 eta: 13:29:32 time: 0.2871 data_time: 0.0173 memory: 6332 grad_norm: 5.4545 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1121 loss: 2.1121 2022/08/19 13:00:55 - mmengine - INFO - Epoch(train) [212][3400/3757] lr: 7.4322e-03 eta: 13:29:02 time: 0.2905 data_time: 0.0179 memory: 6332 grad_norm: 5.4734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0658 loss: 2.0658 2022/08/19 13:01:24 - mmengine - INFO - Epoch(train) [212][3500/3757] lr: 7.4322e-03 eta: 13:28:33 time: 0.2878 data_time: 0.0185 memory: 6332 grad_norm: 5.5109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0678 loss: 2.0678 2022/08/19 13:01:53 - mmengine - INFO - Epoch(train) [212][3600/3757] lr: 7.4322e-03 eta: 13:28:03 time: 0.2896 data_time: 0.0168 memory: 6332 grad_norm: 5.6122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1974 loss: 2.1974 2022/08/19 13:02:22 - mmengine - INFO - Epoch(train) [212][3700/3757] lr: 7.4322e-03 eta: 13:27:34 time: 0.2891 data_time: 0.0164 memory: 6332 grad_norm: 5.4770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4478 loss: 2.4478 2022/08/19 13:02:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:02:39 - mmengine - INFO - Epoch(train) [212][3757/3757] lr: 7.4322e-03 eta: 13:27:22 time: 0.2680 data_time: 0.0162 memory: 6332 grad_norm: 5.4845 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8068 loss: 1.8068 2022/08/19 13:02:39 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/19 13:03:13 - mmengine - INFO - Epoch(train) [213][100/3757] lr: 7.1136e-03 eta: 13:26:44 time: 0.3050 data_time: 0.0187 memory: 6332 grad_norm: 5.5597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/08/19 13:03:42 - mmengine - INFO - Epoch(train) [213][200/3757] lr: 7.1136e-03 eta: 13:26:14 time: 0.2884 data_time: 0.0184 memory: 6332 grad_norm: 5.6070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0224 loss: 2.0224 2022/08/19 13:04:11 - mmengine - INFO - Epoch(train) [213][300/3757] lr: 7.1136e-03 eta: 13:25:45 time: 0.2877 data_time: 0.0174 memory: 6332 grad_norm: 5.1985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8194 loss: 1.8194 2022/08/19 13:04:41 - mmengine - INFO - Epoch(train) [213][400/3757] lr: 7.1136e-03 eta: 13:25:15 time: 0.2874 data_time: 0.0178 memory: 6332 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9497 loss: 1.9497 2022/08/19 13:05:10 - mmengine - INFO - Epoch(train) [213][500/3757] lr: 7.1136e-03 eta: 13:24:45 time: 0.2867 data_time: 0.0180 memory: 6332 grad_norm: 5.5927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2003 loss: 2.2003 2022/08/19 13:05:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:05:39 - mmengine - INFO - Epoch(train) [213][600/3757] lr: 7.1136e-03 eta: 13:24:16 time: 0.2884 data_time: 0.0162 memory: 6332 grad_norm: 5.6561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/08/19 13:06:08 - mmengine - INFO - Epoch(train) [213][700/3757] lr: 7.1136e-03 eta: 13:23:46 time: 0.2868 data_time: 0.0175 memory: 6332 grad_norm: 5.6486 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1889 loss: 2.1889 2022/08/19 13:06:37 - mmengine - INFO - Epoch(train) [213][800/3757] lr: 7.1136e-03 eta: 13:23:16 time: 0.2894 data_time: 0.0174 memory: 6332 grad_norm: 5.3780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9259 loss: 1.9259 2022/08/19 13:07:06 - mmengine - INFO - Epoch(train) [213][900/3757] lr: 7.1136e-03 eta: 13:22:47 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 5.5766 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1329 loss: 2.1329 2022/08/19 13:07:35 - mmengine - INFO - Epoch(train) [213][1000/3757] lr: 7.1136e-03 eta: 13:22:17 time: 0.2894 data_time: 0.0171 memory: 6332 grad_norm: 5.5039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5017 loss: 1.5017 2022/08/19 13:08:05 - mmengine - INFO - Epoch(train) [213][1100/3757] lr: 7.1136e-03 eta: 13:21:48 time: 0.2906 data_time: 0.0181 memory: 6332 grad_norm: 5.4769 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9282 loss: 1.9282 2022/08/19 13:08:34 - mmengine - INFO - Epoch(train) [213][1200/3757] lr: 7.1136e-03 eta: 13:21:18 time: 0.2891 data_time: 0.0175 memory: 6332 grad_norm: 5.5350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1538 loss: 2.1538 2022/08/19 13:09:03 - mmengine - INFO - Epoch(train) [213][1300/3757] lr: 7.1136e-03 eta: 13:20:48 time: 0.2885 data_time: 0.0176 memory: 6332 grad_norm: 5.3613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/08/19 13:09:32 - mmengine - INFO - Epoch(train) [213][1400/3757] lr: 7.1136e-03 eta: 13:20:19 time: 0.2869 data_time: 0.0171 memory: 6332 grad_norm: 5.5206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8877 loss: 1.8877 2022/08/19 13:10:01 - mmengine - INFO - Epoch(train) [213][1500/3757] lr: 7.1136e-03 eta: 13:19:49 time: 0.2885 data_time: 0.0178 memory: 6332 grad_norm: 5.4414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8992 loss: 1.8992 2022/08/19 13:10:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:10:31 - mmengine - INFO - Epoch(train) [213][1600/3757] lr: 7.1136e-03 eta: 13:19:20 time: 0.2871 data_time: 0.0162 memory: 6332 grad_norm: 5.6292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6938 loss: 1.6938 2022/08/19 13:11:00 - mmengine - INFO - Epoch(train) [213][1700/3757] lr: 7.1136e-03 eta: 13:18:50 time: 0.2866 data_time: 0.0176 memory: 6332 grad_norm: 5.5249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0906 loss: 2.0906 2022/08/19 13:11:29 - mmengine - INFO - Epoch(train) [213][1800/3757] lr: 7.1136e-03 eta: 13:18:20 time: 0.2888 data_time: 0.0181 memory: 6332 grad_norm: 5.6210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1329 loss: 2.1329 2022/08/19 13:11:58 - mmengine - INFO - Epoch(train) [213][1900/3757] lr: 7.1136e-03 eta: 13:17:51 time: 0.2888 data_time: 0.0176 memory: 6332 grad_norm: 5.4098 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8730 loss: 1.8730 2022/08/19 13:12:28 - mmengine - INFO - Epoch(train) [213][2000/3757] lr: 7.1136e-03 eta: 13:17:21 time: 0.2902 data_time: 0.0168 memory: 6332 grad_norm: 5.4217 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1539 loss: 2.1539 2022/08/19 13:12:57 - mmengine - INFO - Epoch(train) [213][2100/3757] lr: 7.1136e-03 eta: 13:16:52 time: 0.2891 data_time: 0.0174 memory: 6332 grad_norm: 5.5577 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7913 loss: 1.7913 2022/08/19 13:13:26 - mmengine - INFO - Epoch(train) [213][2200/3757] lr: 7.1136e-03 eta: 13:16:22 time: 0.2877 data_time: 0.0176 memory: 6332 grad_norm: 5.5159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8863 loss: 1.8863 2022/08/19 13:13:55 - mmengine - INFO - Epoch(train) [213][2300/3757] lr: 7.1136e-03 eta: 13:15:53 time: 0.2933 data_time: 0.0171 memory: 6332 grad_norm: 5.5050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7125 loss: 1.7125 2022/08/19 13:14:24 - mmengine - INFO - Epoch(train) [213][2400/3757] lr: 7.1136e-03 eta: 13:15:23 time: 0.2884 data_time: 0.0175 memory: 6332 grad_norm: 5.3692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6486 loss: 1.6486 2022/08/19 13:14:54 - mmengine - INFO - Epoch(train) [213][2500/3757] lr: 7.1136e-03 eta: 13:14:54 time: 0.2903 data_time: 0.0176 memory: 6332 grad_norm: 5.7173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9698 loss: 1.9698 2022/08/19 13:14:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:15:23 - mmengine - INFO - Epoch(train) [213][2600/3757] lr: 7.1136e-03 eta: 13:14:24 time: 0.2871 data_time: 0.0175 memory: 6332 grad_norm: 5.4835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9383 loss: 1.9383 2022/08/19 13:15:52 - mmengine - INFO - Epoch(train) [213][2700/3757] lr: 7.1136e-03 eta: 13:13:54 time: 0.2901 data_time: 0.0180 memory: 6332 grad_norm: 5.6973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8554 loss: 1.8554 2022/08/19 13:16:21 - mmengine - INFO - Epoch(train) [213][2800/3757] lr: 7.1136e-03 eta: 13:13:25 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 5.3973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1370 loss: 2.1370 2022/08/19 13:16:50 - mmengine - INFO - Epoch(train) [213][2900/3757] lr: 7.1136e-03 eta: 13:12:55 time: 0.2887 data_time: 0.0181 memory: 6332 grad_norm: 5.5243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8751 loss: 1.8751 2022/08/19 13:17:20 - mmengine - INFO - Epoch(train) [213][3000/3757] lr: 7.1136e-03 eta: 13:12:26 time: 0.2877 data_time: 0.0169 memory: 6332 grad_norm: 5.4545 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2391 loss: 2.2391 2022/08/19 13:17:49 - mmengine - INFO - Epoch(train) [213][3100/3757] lr: 7.1136e-03 eta: 13:11:56 time: 0.2872 data_time: 0.0183 memory: 6332 grad_norm: 5.5120 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3162 loss: 2.3162 2022/08/19 13:18:18 - mmengine - INFO - Epoch(train) [213][3200/3757] lr: 7.1136e-03 eta: 13:11:27 time: 0.2933 data_time: 0.0194 memory: 6332 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/08/19 13:18:47 - mmengine - INFO - Epoch(train) [213][3300/3757] lr: 7.1136e-03 eta: 13:10:57 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 5.6862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8112 loss: 1.8112 2022/08/19 13:19:17 - mmengine - INFO - Epoch(train) [213][3400/3757] lr: 7.1136e-03 eta: 13:10:28 time: 0.2908 data_time: 0.0166 memory: 6332 grad_norm: 5.4772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0207 loss: 2.0207 2022/08/19 13:19:46 - mmengine - INFO - Epoch(train) [213][3500/3757] lr: 7.1136e-03 eta: 13:09:58 time: 0.2908 data_time: 0.0191 memory: 6332 grad_norm: 5.7506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8516 loss: 1.8516 2022/08/19 13:19:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:20:15 - mmengine - INFO - Epoch(train) [213][3600/3757] lr: 7.1136e-03 eta: 13:09:29 time: 0.2880 data_time: 0.0178 memory: 6332 grad_norm: 5.7033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8789 loss: 1.8789 2022/08/19 13:20:44 - mmengine - INFO - Epoch(train) [213][3700/3757] lr: 7.1136e-03 eta: 13:08:59 time: 0.2905 data_time: 0.0178 memory: 6332 grad_norm: 5.4460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/08/19 13:21:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:21:01 - mmengine - INFO - Epoch(train) [213][3757/3757] lr: 7.1136e-03 eta: 13:08:47 time: 0.2696 data_time: 0.0156 memory: 6332 grad_norm: 5.4961 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2546 loss: 2.2546 2022/08/19 13:21:32 - mmengine - INFO - Epoch(train) [214][100/3757] lr: 6.8014e-03 eta: 13:08:10 time: 0.2870 data_time: 0.0171 memory: 6332 grad_norm: 5.5750 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8314 loss: 1.8314 2022/08/19 13:22:01 - mmengine - INFO - Epoch(train) [214][200/3757] lr: 6.8014e-03 eta: 13:07:40 time: 0.2887 data_time: 0.0177 memory: 6332 grad_norm: 5.5753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8374 loss: 1.8374 2022/08/19 13:22:30 - mmengine - INFO - Epoch(train) [214][300/3757] lr: 6.8014e-03 eta: 13:07:11 time: 0.2886 data_time: 0.0172 memory: 6332 grad_norm: 5.5890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1157 loss: 2.1157 2022/08/19 13:22:59 - mmengine - INFO - Epoch(train) [214][400/3757] lr: 6.8014e-03 eta: 13:06:41 time: 0.2907 data_time: 0.0178 memory: 6332 grad_norm: 5.5855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6295 loss: 1.6295 2022/08/19 13:23:28 - mmengine - INFO - Epoch(train) [214][500/3757] lr: 6.8014e-03 eta: 13:06:12 time: 0.2895 data_time: 0.0179 memory: 6332 grad_norm: 5.7479 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0955 loss: 2.0955 2022/08/19 13:23:58 - mmengine - INFO - Epoch(train) [214][600/3757] lr: 6.8014e-03 eta: 13:05:42 time: 0.2894 data_time: 0.0178 memory: 6332 grad_norm: 5.7019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2088 loss: 2.2088 2022/08/19 13:24:27 - mmengine - INFO - Epoch(train) [214][700/3757] lr: 6.8014e-03 eta: 13:05:13 time: 0.2895 data_time: 0.0173 memory: 6332 grad_norm: 5.5277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8661 loss: 1.8661 2022/08/19 13:24:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:24:56 - mmengine - INFO - Epoch(train) [214][800/3757] lr: 6.8014e-03 eta: 13:04:43 time: 0.2886 data_time: 0.0177 memory: 6332 grad_norm: 5.3584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1376 loss: 2.1376 2022/08/19 13:25:25 - mmengine - INFO - Epoch(train) [214][900/3757] lr: 6.8014e-03 eta: 13:04:13 time: 0.2895 data_time: 0.0175 memory: 6332 grad_norm: 5.7361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0075 loss: 2.0075 2022/08/19 13:25:54 - mmengine - INFO - Epoch(train) [214][1000/3757] lr: 6.8014e-03 eta: 13:03:44 time: 0.2897 data_time: 0.0175 memory: 6332 grad_norm: 5.4385 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0420 loss: 2.0420 2022/08/19 13:27:28 - mmengine - INFO - Epoch(train) [214][1100/3757] lr: 6.8014e-03 eta: 13:04:10 time: 0.2848 data_time: 0.0170 memory: 6332 grad_norm: 5.5827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9222 loss: 1.9222 2022/08/19 13:27:57 - mmengine - INFO - Epoch(train) [214][1200/3757] lr: 6.8014e-03 eta: 13:03:40 time: 0.2907 data_time: 0.0186 memory: 6332 grad_norm: 5.5119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1664 loss: 2.1664 2022/08/19 13:28:26 - mmengine - INFO - Epoch(train) [214][1300/3757] lr: 6.8014e-03 eta: 13:03:11 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 5.4981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7533 loss: 1.7533 2022/08/19 13:28:55 - mmengine - INFO - Epoch(train) [214][1400/3757] lr: 6.8014e-03 eta: 13:02:41 time: 0.2923 data_time: 0.0185 memory: 6332 grad_norm: 5.5814 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9100 loss: 1.9100 2022/08/19 13:29:24 - mmengine - INFO - Epoch(train) [214][1500/3757] lr: 6.8014e-03 eta: 13:02:11 time: 0.2884 data_time: 0.0173 memory: 6332 grad_norm: 5.7975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0816 loss: 2.0816 2022/08/19 13:29:54 - mmengine - INFO - Epoch(train) [214][1600/3757] lr: 6.8014e-03 eta: 13:01:42 time: 0.2872 data_time: 0.0172 memory: 6332 grad_norm: 5.5391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8802 loss: 1.8802 2022/08/19 13:30:23 - mmengine - INFO - Epoch(train) [214][1700/3757] lr: 6.8014e-03 eta: 13:01:12 time: 0.2896 data_time: 0.0169 memory: 6332 grad_norm: 5.5586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/19 13:30:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:30:52 - mmengine - INFO - Epoch(train) [214][1800/3757] lr: 6.8014e-03 eta: 13:00:43 time: 0.2878 data_time: 0.0170 memory: 6332 grad_norm: 5.4903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0881 loss: 2.0881 2022/08/19 13:31:22 - mmengine - INFO - Epoch(train) [214][1900/3757] lr: 6.8014e-03 eta: 13:00:13 time: 0.2875 data_time: 0.0187 memory: 6332 grad_norm: 5.7629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2158 loss: 2.2158 2022/08/19 13:31:51 - mmengine - INFO - Epoch(train) [214][2000/3757] lr: 6.8014e-03 eta: 12:59:43 time: 0.2934 data_time: 0.0184 memory: 6332 grad_norm: 5.5473 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/08/19 13:32:20 - mmengine - INFO - Epoch(train) [214][2100/3757] lr: 6.8014e-03 eta: 12:59:14 time: 0.2868 data_time: 0.0170 memory: 6332 grad_norm: 5.5759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1228 loss: 2.1228 2022/08/19 13:32:49 - mmengine - INFO - Epoch(train) [214][2200/3757] lr: 6.8014e-03 eta: 12:58:44 time: 0.2893 data_time: 0.0176 memory: 6332 grad_norm: 5.5893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8888 loss: 1.8888 2022/08/19 13:33:18 - mmengine - INFO - Epoch(train) [214][2300/3757] lr: 6.8014e-03 eta: 12:58:14 time: 0.2892 data_time: 0.0178 memory: 6332 grad_norm: 5.4258 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8713 loss: 1.8713 2022/08/19 13:33:47 - mmengine - INFO - Epoch(train) [214][2400/3757] lr: 6.8014e-03 eta: 12:57:45 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 5.6231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2013 loss: 2.2013 2022/08/19 13:34:17 - mmengine - INFO - Epoch(train) [214][2500/3757] lr: 6.8014e-03 eta: 12:57:15 time: 0.2883 data_time: 0.0167 memory: 6332 grad_norm: 5.5167 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2753 loss: 2.2753 2022/08/19 13:34:46 - mmengine - INFO - Epoch(train) [214][2600/3757] lr: 6.8014e-03 eta: 12:56:46 time: 0.2899 data_time: 0.0170 memory: 6332 grad_norm: 5.4745 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/08/19 13:35:15 - mmengine - INFO - Epoch(train) [214][2700/3757] lr: 6.8014e-03 eta: 12:56:16 time: 0.2939 data_time: 0.0184 memory: 6332 grad_norm: 5.5714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0680 loss: 2.0680 2022/08/19 13:35:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:35:44 - mmengine - INFO - Epoch(train) [214][2800/3757] lr: 6.8014e-03 eta: 12:55:47 time: 0.2871 data_time: 0.0169 memory: 6332 grad_norm: 5.5933 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9207 loss: 1.9207 2022/08/19 13:36:14 - mmengine - INFO - Epoch(train) [214][2900/3757] lr: 6.8014e-03 eta: 12:55:17 time: 0.2871 data_time: 0.0176 memory: 6332 grad_norm: 5.5464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9152 loss: 1.9152 2022/08/19 13:36:43 - mmengine - INFO - Epoch(train) [214][3000/3757] lr: 6.8014e-03 eta: 12:54:48 time: 0.2884 data_time: 0.0170 memory: 6332 grad_norm: 5.3933 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/08/19 13:37:12 - mmengine - INFO - Epoch(train) [214][3100/3757] lr: 6.8014e-03 eta: 12:54:18 time: 0.2860 data_time: 0.0171 memory: 6332 grad_norm: 5.7431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7685 loss: 1.7685 2022/08/19 13:37:41 - mmengine - INFO - Epoch(train) [214][3200/3757] lr: 6.8014e-03 eta: 12:53:48 time: 0.2885 data_time: 0.0169 memory: 6332 grad_norm: 5.4783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/08/19 13:38:11 - mmengine - INFO - Epoch(train) [214][3300/3757] lr: 6.8014e-03 eta: 12:53:19 time: 0.2899 data_time: 0.0182 memory: 6332 grad_norm: 5.4558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/08/19 13:38:40 - mmengine - INFO - Epoch(train) [214][3400/3757] lr: 6.8014e-03 eta: 12:52:49 time: 0.2893 data_time: 0.0182 memory: 6332 grad_norm: 5.6067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9399 loss: 1.9399 2022/08/19 13:39:09 - mmengine - INFO - Epoch(train) [214][3500/3757] lr: 6.8014e-03 eta: 12:52:20 time: 0.2873 data_time: 0.0171 memory: 6332 grad_norm: 5.6091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0216 loss: 2.0216 2022/08/19 13:39:38 - mmengine - INFO - Epoch(train) [214][3600/3757] lr: 6.8014e-03 eta: 12:51:50 time: 0.2976 data_time: 0.0173 memory: 6332 grad_norm: 5.3439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0262 loss: 2.0262 2022/08/19 13:40:08 - mmengine - INFO - Epoch(train) [214][3700/3757] lr: 6.8014e-03 eta: 12:51:21 time: 0.2953 data_time: 0.0193 memory: 6332 grad_norm: 5.4889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7884 loss: 1.7884 2022/08/19 13:40:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:40:24 - mmengine - INFO - Epoch(train) [214][3757/3757] lr: 6.8014e-03 eta: 12:51:09 time: 0.2700 data_time: 0.0162 memory: 6332 grad_norm: 5.7062 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3359 loss: 2.3359 2022/08/19 13:40:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:40:55 - mmengine - INFO - Epoch(train) [215][100/3757] lr: 6.4957e-03 eta: 12:50:32 time: 0.2885 data_time: 0.0179 memory: 6332 grad_norm: 5.4834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8911 loss: 1.8911 2022/08/19 13:41:24 - mmengine - INFO - Epoch(train) [215][200/3757] lr: 6.4957e-03 eta: 12:50:02 time: 0.2883 data_time: 0.0184 memory: 6332 grad_norm: 5.6493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8109 loss: 1.8109 2022/08/19 13:41:54 - mmengine - INFO - Epoch(train) [215][300/3757] lr: 6.4957e-03 eta: 12:49:32 time: 0.2875 data_time: 0.0167 memory: 6332 grad_norm: 5.7772 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9716 loss: 1.9716 2022/08/19 13:42:23 - mmengine - INFO - Epoch(train) [215][400/3757] lr: 6.4957e-03 eta: 12:49:03 time: 0.2879 data_time: 0.0166 memory: 6332 grad_norm: 5.4125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0002 loss: 2.0002 2022/08/19 13:42:52 - mmengine - INFO - Epoch(train) [215][500/3757] lr: 6.4957e-03 eta: 12:48:33 time: 0.2883 data_time: 0.0173 memory: 6332 grad_norm: 5.8221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0485 loss: 2.0485 2022/08/19 13:43:21 - mmengine - INFO - Epoch(train) [215][600/3757] lr: 6.4957e-03 eta: 12:48:04 time: 0.2910 data_time: 0.0189 memory: 6332 grad_norm: 5.4263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8113 loss: 1.8113 2022/08/19 13:43:51 - mmengine - INFO - Epoch(train) [215][700/3757] lr: 6.4957e-03 eta: 12:47:34 time: 0.2892 data_time: 0.0178 memory: 6332 grad_norm: 5.5222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/08/19 13:44:20 - mmengine - INFO - Epoch(train) [215][800/3757] lr: 6.4957e-03 eta: 12:47:05 time: 0.2941 data_time: 0.0180 memory: 6332 grad_norm: 5.7323 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0990 loss: 2.0990 2022/08/19 13:44:49 - mmengine - INFO - Epoch(train) [215][900/3757] lr: 6.4957e-03 eta: 12:46:35 time: 0.2882 data_time: 0.0172 memory: 6332 grad_norm: 5.6293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2038 loss: 2.2038 2022/08/19 13:45:19 - mmengine - INFO - Epoch(train) [215][1000/3757] lr: 6.4957e-03 eta: 12:46:06 time: 0.2932 data_time: 0.0192 memory: 6332 grad_norm: 5.4812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9098 loss: 1.9098 2022/08/19 13:45:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:45:48 - mmengine - INFO - Epoch(train) [215][1100/3757] lr: 6.4957e-03 eta: 12:45:36 time: 0.2903 data_time: 0.0182 memory: 6332 grad_norm: 5.6553 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3051 loss: 2.3051 2022/08/19 13:46:17 - mmengine - INFO - Epoch(train) [215][1200/3757] lr: 6.4957e-03 eta: 12:45:06 time: 0.2870 data_time: 0.0174 memory: 6332 grad_norm: 5.6503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0081 loss: 2.0081 2022/08/19 13:46:46 - mmengine - INFO - Epoch(train) [215][1300/3757] lr: 6.4957e-03 eta: 12:44:37 time: 0.2998 data_time: 0.0175 memory: 6332 grad_norm: 5.4081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9073 loss: 1.9073 2022/08/19 13:47:15 - mmengine - INFO - Epoch(train) [215][1400/3757] lr: 6.4957e-03 eta: 12:44:07 time: 0.2886 data_time: 0.0183 memory: 6332 grad_norm: 5.5974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8760 loss: 1.8760 2022/08/19 13:47:45 - mmengine - INFO - Epoch(train) [215][1500/3757] lr: 6.4957e-03 eta: 12:43:38 time: 0.2871 data_time: 0.0177 memory: 6332 grad_norm: 5.8066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7574 loss: 1.7574 2022/08/19 13:48:14 - mmengine - INFO - Epoch(train) [215][1600/3757] lr: 6.4957e-03 eta: 12:43:08 time: 0.2890 data_time: 0.0169 memory: 6332 grad_norm: 5.7518 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3766 loss: 2.3766 2022/08/19 13:48:43 - mmengine - INFO - Epoch(train) [215][1700/3757] lr: 6.4957e-03 eta: 12:42:38 time: 0.2889 data_time: 0.0170 memory: 6332 grad_norm: 5.4734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8415 loss: 1.8415 2022/08/19 13:49:12 - mmengine - INFO - Epoch(train) [215][1800/3757] lr: 6.4957e-03 eta: 12:42:09 time: 0.2884 data_time: 0.0172 memory: 6332 grad_norm: 5.7923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0822 loss: 2.0822 2022/08/19 13:49:41 - mmengine - INFO - Epoch(train) [215][1900/3757] lr: 6.4957e-03 eta: 12:41:39 time: 0.2917 data_time: 0.0184 memory: 6332 grad_norm: 5.5246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1899 loss: 2.1899 2022/08/19 13:50:10 - mmengine - INFO - Epoch(train) [215][2000/3757] lr: 6.4957e-03 eta: 12:41:10 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 5.7909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8641 loss: 1.8641 2022/08/19 13:50:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:50:40 - mmengine - INFO - Epoch(train) [215][2100/3757] lr: 6.4957e-03 eta: 12:40:40 time: 0.2888 data_time: 0.0176 memory: 6332 grad_norm: 5.6349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7959 loss: 1.7959 2022/08/19 13:51:09 - mmengine - INFO - Epoch(train) [215][2200/3757] lr: 6.4957e-03 eta: 12:40:11 time: 0.2878 data_time: 0.0156 memory: 6332 grad_norm: 5.9053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6991 loss: 1.6991 2022/08/19 13:51:38 - mmengine - INFO - Epoch(train) [215][2300/3757] lr: 6.4957e-03 eta: 12:39:41 time: 0.2885 data_time: 0.0180 memory: 6332 grad_norm: 5.8734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8070 loss: 1.8070 2022/08/19 13:52:07 - mmengine - INFO - Epoch(train) [215][2400/3757] lr: 6.4957e-03 eta: 12:39:11 time: 0.2872 data_time: 0.0170 memory: 6332 grad_norm: 5.7134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8917 loss: 1.8917 2022/08/19 13:52:36 - mmengine - INFO - Epoch(train) [215][2500/3757] lr: 6.4957e-03 eta: 12:38:42 time: 0.2865 data_time: 0.0169 memory: 6332 grad_norm: 5.7588 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6895 loss: 1.6895 2022/08/19 13:53:06 - mmengine - INFO - Epoch(train) [215][2600/3757] lr: 6.4957e-03 eta: 12:38:12 time: 0.2886 data_time: 0.0176 memory: 6332 grad_norm: 5.9805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9230 loss: 1.9230 2022/08/19 13:53:35 - mmengine - INFO - Epoch(train) [215][2700/3757] lr: 6.4957e-03 eta: 12:37:43 time: 0.2876 data_time: 0.0170 memory: 6332 grad_norm: 5.7998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9465 loss: 1.9465 2022/08/19 13:54:04 - mmengine - INFO - Epoch(train) [215][2800/3757] lr: 6.4957e-03 eta: 12:37:13 time: 0.2878 data_time: 0.0180 memory: 6332 grad_norm: 5.5929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8335 loss: 1.8335 2022/08/19 13:54:34 - mmengine - INFO - Epoch(train) [215][2900/3757] lr: 6.4957e-03 eta: 12:36:44 time: 0.2894 data_time: 0.0188 memory: 6332 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0239 loss: 2.0239 2022/08/19 13:55:03 - mmengine - INFO - Epoch(train) [215][3000/3757] lr: 6.4957e-03 eta: 12:36:14 time: 0.2891 data_time: 0.0170 memory: 6332 grad_norm: 5.8888 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0335 loss: 2.0335 2022/08/19 13:55:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:55:32 - mmengine - INFO - Epoch(train) [215][3100/3757] lr: 6.4957e-03 eta: 12:35:45 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 5.5256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/08/19 13:56:01 - mmengine - INFO - Epoch(train) [215][3200/3757] lr: 6.4957e-03 eta: 12:35:15 time: 0.2936 data_time: 0.0211 memory: 6332 grad_norm: 5.5558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1761 loss: 2.1761 2022/08/19 13:56:31 - mmengine - INFO - Epoch(train) [215][3300/3757] lr: 6.4957e-03 eta: 12:34:46 time: 0.2921 data_time: 0.0173 memory: 6332 grad_norm: 5.7014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8709 loss: 1.8709 2022/08/19 13:57:00 - mmengine - INFO - Epoch(train) [215][3400/3757] lr: 6.4957e-03 eta: 12:34:16 time: 0.2908 data_time: 0.0174 memory: 6332 grad_norm: 5.8284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/08/19 13:57:29 - mmengine - INFO - Epoch(train) [215][3500/3757] lr: 6.4957e-03 eta: 12:33:46 time: 0.2955 data_time: 0.0173 memory: 6332 grad_norm: 5.6772 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7343 loss: 1.7343 2022/08/19 13:57:58 - mmengine - INFO - Epoch(train) [215][3600/3757] lr: 6.4957e-03 eta: 12:33:17 time: 0.2904 data_time: 0.0183 memory: 6332 grad_norm: 5.7832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0267 loss: 2.0267 2022/08/19 13:58:28 - mmengine - INFO - Epoch(train) [215][3700/3757] lr: 6.4957e-03 eta: 12:32:47 time: 0.2877 data_time: 0.0175 memory: 6332 grad_norm: 5.9677 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2273 loss: 2.2273 2022/08/19 13:58:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 13:58:44 - mmengine - INFO - Epoch(train) [215][3757/3757] lr: 6.4957e-03 eta: 12:32:35 time: 0.2710 data_time: 0.0157 memory: 6332 grad_norm: 5.6769 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8895 loss: 1.8895 2022/08/19 13:59:05 - mmengine - INFO - Epoch(val) [215][100/310] eta: 0:00:44 time: 0.2122 data_time: 0.1144 memory: 1147 2022/08/19 13:59:26 - mmengine - INFO - Epoch(val) [215][200/310] eta: 0:00:19 time: 0.1783 data_time: 0.0862 memory: 1147 2022/08/19 13:59:46 - mmengine - INFO - Epoch(val) [215][300/310] eta: 0:00:01 time: 0.1964 data_time: 0.1018 memory: 1147 2022/08/19 13:59:50 - mmengine - INFO - Epoch(val) [215][310/310] acc/top1: 0.6148 acc/top5: 0.8368 acc/mean1: 0.6148 2022/08/19 13:59:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_211.pth is removed 2022/08/19 13:59:53 - mmengine - INFO - The best checkpoint with 0.6148 acc/top1 at 216 epoch is saved to best_acc/top1_epoch_216.pth. 2022/08/19 14:00:24 - mmengine - INFO - Epoch(train) [216][100/3757] lr: 6.1965e-03 eta: 12:31:58 time: 0.2901 data_time: 0.0174 memory: 6332 grad_norm: 5.7712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7067 loss: 1.7067 2022/08/19 14:00:53 - mmengine - INFO - Epoch(train) [216][200/3757] lr: 6.1965e-03 eta: 12:31:28 time: 0.2900 data_time: 0.0198 memory: 6332 grad_norm: 5.5703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0334 loss: 2.0334 2022/08/19 14:01:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:01:22 - mmengine - INFO - Epoch(train) [216][300/3757] lr: 6.1965e-03 eta: 12:30:58 time: 0.2894 data_time: 0.0183 memory: 6332 grad_norm: 5.7778 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7722 loss: 1.7722 2022/08/19 14:01:51 - mmengine - INFO - Epoch(train) [216][400/3757] lr: 6.1965e-03 eta: 12:30:29 time: 0.2876 data_time: 0.0171 memory: 6332 grad_norm: 5.5673 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8685 loss: 1.8685 2022/08/19 14:02:20 - mmengine - INFO - Epoch(train) [216][500/3757] lr: 6.1965e-03 eta: 12:29:59 time: 0.2914 data_time: 0.0184 memory: 6332 grad_norm: 5.7468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8961 loss: 1.8961 2022/08/19 14:02:49 - mmengine - INFO - Epoch(train) [216][600/3757] lr: 6.1965e-03 eta: 12:29:30 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 5.8050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2817 loss: 2.2817 2022/08/19 14:03:19 - mmengine - INFO - Epoch(train) [216][700/3757] lr: 6.1965e-03 eta: 12:29:00 time: 0.2898 data_time: 0.0175 memory: 6332 grad_norm: 5.4986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7761 loss: 1.7761 2022/08/19 14:03:48 - mmengine - INFO - Epoch(train) [216][800/3757] lr: 6.1965e-03 eta: 12:28:31 time: 0.2957 data_time: 0.0170 memory: 6332 grad_norm: 5.7869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8240 loss: 1.8240 2022/08/19 14:04:17 - mmengine - INFO - Epoch(train) [216][900/3757] lr: 6.1965e-03 eta: 12:28:01 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 5.7101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8053 loss: 1.8053 2022/08/19 14:04:46 - mmengine - INFO - Epoch(train) [216][1000/3757] lr: 6.1965e-03 eta: 12:27:32 time: 0.2869 data_time: 0.0169 memory: 6332 grad_norm: 5.6177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7571 loss: 1.7571 2022/08/19 14:05:15 - mmengine - INFO - Epoch(train) [216][1100/3757] lr: 6.1965e-03 eta: 12:27:02 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 5.7057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9333 loss: 1.9333 2022/08/19 14:05:45 - mmengine - INFO - Epoch(train) [216][1200/3757] lr: 6.1965e-03 eta: 12:26:33 time: 0.2903 data_time: 0.0172 memory: 6332 grad_norm: 5.7238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8459 loss: 1.8459 2022/08/19 14:05:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:06:14 - mmengine - INFO - Epoch(train) [216][1300/3757] lr: 6.1965e-03 eta: 12:26:03 time: 0.2882 data_time: 0.0174 memory: 6332 grad_norm: 5.8136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/08/19 14:06:44 - mmengine - INFO - Epoch(train) [216][1400/3757] lr: 6.1965e-03 eta: 12:25:34 time: 0.2900 data_time: 0.0184 memory: 6332 grad_norm: 5.8028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0220 loss: 2.0220 2022/08/19 14:07:13 - mmengine - INFO - Epoch(train) [216][1500/3757] lr: 6.1965e-03 eta: 12:25:05 time: 0.2895 data_time: 0.0185 memory: 6332 grad_norm: 5.5924 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1555 loss: 2.1555 2022/08/19 14:07:43 - mmengine - INFO - Epoch(train) [216][1600/3757] lr: 6.1965e-03 eta: 12:24:35 time: 0.2914 data_time: 0.0168 memory: 6332 grad_norm: 5.6919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/08/19 14:08:12 - mmengine - INFO - Epoch(train) [216][1700/3757] lr: 6.1965e-03 eta: 12:24:06 time: 0.2944 data_time: 0.0195 memory: 6332 grad_norm: 5.9409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8259 loss: 1.8259 2022/08/19 14:08:42 - mmengine - INFO - Epoch(train) [216][1800/3757] lr: 6.1965e-03 eta: 12:23:37 time: 0.2952 data_time: 0.0179 memory: 6332 grad_norm: 5.8210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7164 loss: 1.7164 2022/08/19 14:09:11 - mmengine - INFO - Epoch(train) [216][1900/3757] lr: 6.1965e-03 eta: 12:23:07 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 5.6854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7296 loss: 1.7296 2022/08/19 14:09:41 - mmengine - INFO - Epoch(train) [216][2000/3757] lr: 6.1965e-03 eta: 12:22:38 time: 0.2987 data_time: 0.0167 memory: 6332 grad_norm: 5.8192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2162 loss: 2.2162 2022/08/19 14:10:11 - mmengine - INFO - Epoch(train) [216][2100/3757] lr: 6.1965e-03 eta: 12:22:09 time: 0.2870 data_time: 0.0167 memory: 6332 grad_norm: 5.6224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8317 loss: 1.8317 2022/08/19 14:10:40 - mmengine - INFO - Epoch(train) [216][2200/3757] lr: 6.1965e-03 eta: 12:21:39 time: 0.2964 data_time: 0.0187 memory: 6332 grad_norm: 5.7157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9063 loss: 1.9063 2022/08/19 14:10:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:11:09 - mmengine - INFO - Epoch(train) [216][2300/3757] lr: 6.1965e-03 eta: 12:21:10 time: 0.2872 data_time: 0.0178 memory: 6332 grad_norm: 5.7239 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9925 loss: 1.9925 2022/08/19 14:11:39 - mmengine - INFO - Epoch(train) [216][2400/3757] lr: 6.1965e-03 eta: 12:20:40 time: 0.2986 data_time: 0.0173 memory: 6332 grad_norm: 5.6629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0005 loss: 2.0005 2022/08/19 14:12:08 - mmengine - INFO - Epoch(train) [216][2500/3757] lr: 6.1965e-03 eta: 12:20:11 time: 0.2884 data_time: 0.0172 memory: 6332 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7566 loss: 1.7566 2022/08/19 14:12:37 - mmengine - INFO - Epoch(train) [216][2600/3757] lr: 6.1965e-03 eta: 12:19:41 time: 0.2875 data_time: 0.0176 memory: 6332 grad_norm: 5.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/08/19 14:13:07 - mmengine - INFO - Epoch(train) [216][2700/3757] lr: 6.1965e-03 eta: 12:19:12 time: 0.2875 data_time: 0.0172 memory: 6332 grad_norm: 5.5772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9716 loss: 1.9716 2022/08/19 14:13:36 - mmengine - INFO - Epoch(train) [216][2800/3757] lr: 6.1965e-03 eta: 12:18:43 time: 0.2856 data_time: 0.0162 memory: 6332 grad_norm: 5.7314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0537 loss: 2.0537 2022/08/19 14:14:05 - mmengine - INFO - Epoch(train) [216][2900/3757] lr: 6.1965e-03 eta: 12:18:13 time: 0.2882 data_time: 0.0169 memory: 6332 grad_norm: 5.7562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1049 loss: 2.1049 2022/08/19 14:14:35 - mmengine - INFO - Epoch(train) [216][3000/3757] lr: 6.1965e-03 eta: 12:17:44 time: 0.2881 data_time: 0.0172 memory: 6332 grad_norm: 5.5308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9011 loss: 1.9011 2022/08/19 14:15:04 - mmengine - INFO - Epoch(train) [216][3100/3757] lr: 6.1965e-03 eta: 12:17:14 time: 0.2890 data_time: 0.0165 memory: 6332 grad_norm: 5.6847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/08/19 14:15:33 - mmengine - INFO - Epoch(train) [216][3200/3757] lr: 6.1965e-03 eta: 12:16:45 time: 0.2895 data_time: 0.0197 memory: 6332 grad_norm: 5.5522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1252 loss: 2.1252 2022/08/19 14:15:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:16:02 - mmengine - INFO - Epoch(train) [216][3300/3757] lr: 6.1965e-03 eta: 12:16:15 time: 0.2890 data_time: 0.0178 memory: 6332 grad_norm: 6.0216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0386 loss: 2.0386 2022/08/19 14:16:32 - mmengine - INFO - Epoch(train) [216][3400/3757] lr: 6.1965e-03 eta: 12:15:46 time: 0.2857 data_time: 0.0170 memory: 6332 grad_norm: 6.0253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8855 loss: 1.8855 2022/08/19 14:17:01 - mmengine - INFO - Epoch(train) [216][3500/3757] lr: 6.1965e-03 eta: 12:15:16 time: 0.2915 data_time: 0.0182 memory: 6332 grad_norm: 5.5368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5777 loss: 1.5777 2022/08/19 14:17:30 - mmengine - INFO - Epoch(train) [216][3600/3757] lr: 6.1965e-03 eta: 12:14:47 time: 0.2904 data_time: 0.0185 memory: 6332 grad_norm: 5.6687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8163 loss: 1.8163 2022/08/19 14:18:00 - mmengine - INFO - Epoch(train) [216][3700/3757] lr: 6.1965e-03 eta: 12:14:17 time: 0.3000 data_time: 0.0186 memory: 6332 grad_norm: 5.7617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2891 loss: 2.2891 2022/08/19 14:18:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:18:16 - mmengine - INFO - Epoch(train) [216][3757/3757] lr: 6.1965e-03 eta: 12:14:06 time: 0.2704 data_time: 0.0161 memory: 6332 grad_norm: 5.9875 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.9259 loss: 1.9259 2022/08/19 14:18:16 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/19 14:18:50 - mmengine - INFO - Epoch(train) [217][100/3757] lr: 5.9039e-03 eta: 12:13:28 time: 0.2889 data_time: 0.0173 memory: 6332 grad_norm: 5.6642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2775 loss: 2.2775 2022/08/19 14:19:19 - mmengine - INFO - Epoch(train) [217][200/3757] lr: 5.9039e-03 eta: 12:12:58 time: 0.2893 data_time: 0.0171 memory: 6332 grad_norm: 5.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6451 loss: 1.6451 2022/08/19 14:19:48 - mmengine - INFO - Epoch(train) [217][300/3757] lr: 5.9039e-03 eta: 12:12:29 time: 0.2877 data_time: 0.0175 memory: 6332 grad_norm: 5.9339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8401 loss: 1.8401 2022/08/19 14:20:18 - mmengine - INFO - Epoch(train) [217][400/3757] lr: 5.9039e-03 eta: 12:11:59 time: 0.2894 data_time: 0.0169 memory: 6332 grad_norm: 5.6820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7284 loss: 1.7284 2022/08/19 14:20:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:20:47 - mmengine - INFO - Epoch(train) [217][500/3757] lr: 5.9039e-03 eta: 12:11:30 time: 0.2897 data_time: 0.0172 memory: 6332 grad_norm: 5.8118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7315 loss: 1.7315 2022/08/19 14:21:16 - mmengine - INFO - Epoch(train) [217][600/3757] lr: 5.9039e-03 eta: 12:11:00 time: 0.2884 data_time: 0.0181 memory: 6332 grad_norm: 5.8456 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7764 loss: 1.7764 2022/08/19 14:21:46 - mmengine - INFO - Epoch(train) [217][700/3757] lr: 5.9039e-03 eta: 12:10:31 time: 0.2869 data_time: 0.0196 memory: 6332 grad_norm: 5.8640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1179 loss: 2.1179 2022/08/19 14:22:15 - mmengine - INFO - Epoch(train) [217][800/3757] lr: 5.9039e-03 eta: 12:10:01 time: 0.3049 data_time: 0.0264 memory: 6332 grad_norm: 5.8014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1318 loss: 2.1318 2022/08/19 14:22:46 - mmengine - INFO - Epoch(train) [217][900/3757] lr: 5.9039e-03 eta: 12:09:33 time: 0.3484 data_time: 0.0169 memory: 6332 grad_norm: 5.7642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7797 loss: 1.7797 2022/08/19 14:23:16 - mmengine - INFO - Epoch(train) [217][1000/3757] lr: 5.9039e-03 eta: 12:09:04 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 5.7162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1402 loss: 2.1402 2022/08/19 14:23:45 - mmengine - INFO - Epoch(train) [217][1100/3757] lr: 5.9039e-03 eta: 12:08:34 time: 0.2895 data_time: 0.0171 memory: 6332 grad_norm: 5.5686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/08/19 14:24:14 - mmengine - INFO - Epoch(train) [217][1200/3757] lr: 5.9039e-03 eta: 12:08:05 time: 0.2902 data_time: 0.0179 memory: 6332 grad_norm: 5.6073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/08/19 14:24:43 - mmengine - INFO - Epoch(train) [217][1300/3757] lr: 5.9039e-03 eta: 12:07:35 time: 0.2890 data_time: 0.0168 memory: 6332 grad_norm: 5.7224 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0420 loss: 2.0420 2022/08/19 14:25:12 - mmengine - INFO - Epoch(train) [217][1400/3757] lr: 5.9039e-03 eta: 12:07:06 time: 0.2888 data_time: 0.0187 memory: 6332 grad_norm: 5.7435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9463 loss: 1.9463 2022/08/19 14:25:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:25:42 - mmengine - INFO - Epoch(train) [217][1500/3757] lr: 5.9039e-03 eta: 12:06:37 time: 0.3329 data_time: 0.0175 memory: 6332 grad_norm: 5.8174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6261 loss: 1.6261 2022/08/19 14:26:12 - mmengine - INFO - Epoch(train) [217][1600/3757] lr: 5.9039e-03 eta: 12:06:07 time: 0.2884 data_time: 0.0198 memory: 6332 grad_norm: 5.8736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/19 14:26:41 - mmengine - INFO - Epoch(train) [217][1700/3757] lr: 5.9039e-03 eta: 12:05:38 time: 0.2884 data_time: 0.0173 memory: 6332 grad_norm: 5.9581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0412 loss: 2.0412 2022/08/19 14:27:11 - mmengine - INFO - Epoch(train) [217][1800/3757] lr: 5.9039e-03 eta: 12:05:09 time: 0.3096 data_time: 0.0178 memory: 6332 grad_norm: 5.7619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6432 loss: 1.6432 2022/08/19 14:27:40 - mmengine - INFO - Epoch(train) [217][1900/3757] lr: 5.9039e-03 eta: 12:04:40 time: 0.2895 data_time: 0.0173 memory: 6332 grad_norm: 5.8153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/08/19 14:28:10 - mmengine - INFO - Epoch(train) [217][2000/3757] lr: 5.9039e-03 eta: 12:04:10 time: 0.2877 data_time: 0.0172 memory: 6332 grad_norm: 5.8691 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.0439 loss: 2.0439 2022/08/19 14:28:39 - mmengine - INFO - Epoch(train) [217][2100/3757] lr: 5.9039e-03 eta: 12:03:41 time: 0.2870 data_time: 0.0167 memory: 6332 grad_norm: 5.7818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9028 loss: 1.9028 2022/08/19 14:29:08 - mmengine - INFO - Epoch(train) [217][2200/3757] lr: 5.9039e-03 eta: 12:03:11 time: 0.2872 data_time: 0.0167 memory: 6332 grad_norm: 6.0077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8097 loss: 1.8097 2022/08/19 14:29:37 - mmengine - INFO - Epoch(train) [217][2300/3757] lr: 5.9039e-03 eta: 12:02:41 time: 0.2881 data_time: 0.0182 memory: 6332 grad_norm: 5.7902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9664 loss: 1.9664 2022/08/19 14:30:07 - mmengine - INFO - Epoch(train) [217][2400/3757] lr: 5.9039e-03 eta: 12:02:12 time: 0.2875 data_time: 0.0172 memory: 6332 grad_norm: 5.6170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6725 loss: 1.6725 2022/08/19 14:30:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:30:36 - mmengine - INFO - Epoch(train) [217][2500/3757] lr: 5.9039e-03 eta: 12:01:42 time: 0.2876 data_time: 0.0183 memory: 6332 grad_norm: 5.7001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5835 loss: 1.5835 2022/08/19 14:31:05 - mmengine - INFO - Epoch(train) [217][2600/3757] lr: 5.9039e-03 eta: 12:01:13 time: 0.2896 data_time: 0.0172 memory: 6332 grad_norm: 5.9918 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7523 loss: 1.7523 2022/08/19 14:31:34 - mmengine - INFO - Epoch(train) [217][2700/3757] lr: 5.9039e-03 eta: 12:00:43 time: 0.2879 data_time: 0.0172 memory: 6332 grad_norm: 5.8989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/08/19 14:32:03 - mmengine - INFO - Epoch(train) [217][2800/3757] lr: 5.9039e-03 eta: 12:00:14 time: 0.2908 data_time: 0.0176 memory: 6332 grad_norm: 6.0423 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0330 loss: 2.0330 2022/08/19 14:32:33 - mmengine - INFO - Epoch(train) [217][2900/3757] lr: 5.9039e-03 eta: 11:59:44 time: 0.2902 data_time: 0.0168 memory: 6332 grad_norm: 5.7404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8394 loss: 1.8394 2022/08/19 14:33:02 - mmengine - INFO - Epoch(train) [217][3000/3757] lr: 5.9039e-03 eta: 11:59:15 time: 0.2983 data_time: 0.0183 memory: 6332 grad_norm: 5.8377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7457 loss: 1.7457 2022/08/19 14:33:31 - mmengine - INFO - Epoch(train) [217][3100/3757] lr: 5.9039e-03 eta: 11:58:46 time: 0.2874 data_time: 0.0176 memory: 6332 grad_norm: 5.6588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8931 loss: 1.8931 2022/08/19 14:34:02 - mmengine - INFO - Epoch(train) [217][3200/3757] lr: 5.9039e-03 eta: 11:58:17 time: 0.3330 data_time: 0.0167 memory: 6332 grad_norm: 5.6648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9997 loss: 1.9997 2022/08/19 14:34:31 - mmengine - INFO - Epoch(train) [217][3300/3757] lr: 5.9039e-03 eta: 11:57:48 time: 0.2902 data_time: 0.0175 memory: 6332 grad_norm: 5.9441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0024 loss: 2.0024 2022/08/19 14:35:04 - mmengine - INFO - Epoch(train) [217][3400/3757] lr: 5.9039e-03 eta: 11:57:20 time: 0.3064 data_time: 0.0182 memory: 6332 grad_norm: 5.7626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9568 loss: 1.9568 2022/08/19 14:35:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:35:33 - mmengine - INFO - Epoch(train) [217][3500/3757] lr: 5.9039e-03 eta: 11:56:51 time: 0.2901 data_time: 0.0176 memory: 6332 grad_norm: 5.6599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/08/19 14:36:03 - mmengine - INFO - Epoch(train) [217][3600/3757] lr: 5.9039e-03 eta: 11:56:22 time: 0.2917 data_time: 0.0182 memory: 6332 grad_norm: 5.7270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7696 loss: 1.7696 2022/08/19 14:36:33 - mmengine - INFO - Epoch(train) [217][3700/3757] lr: 5.9039e-03 eta: 11:55:53 time: 0.2894 data_time: 0.0181 memory: 6332 grad_norm: 5.8182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1713 loss: 2.1713 2022/08/19 14:36:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:36:49 - mmengine - INFO - Epoch(train) [217][3757/3757] lr: 5.9039e-03 eta: 11:55:41 time: 0.2685 data_time: 0.0150 memory: 6332 grad_norm: 5.8221 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 1.8815 loss: 1.8815 2022/08/19 14:37:21 - mmengine - INFO - Epoch(train) [218][100/3757] lr: 5.6180e-03 eta: 11:55:04 time: 0.2878 data_time: 0.0187 memory: 6332 grad_norm: 6.0591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7298 loss: 1.7298 2022/08/19 14:37:50 - mmengine - INFO - Epoch(train) [218][200/3757] lr: 5.6180e-03 eta: 11:54:35 time: 0.2892 data_time: 0.0169 memory: 6332 grad_norm: 5.8329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0699 loss: 2.0699 2022/08/19 14:38:19 - mmengine - INFO - Epoch(train) [218][300/3757] lr: 5.6180e-03 eta: 11:54:06 time: 0.2916 data_time: 0.0207 memory: 6332 grad_norm: 5.8650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9132 loss: 1.9132 2022/08/19 14:38:50 - mmengine - INFO - Epoch(train) [218][400/3757] lr: 5.6180e-03 eta: 11:53:37 time: 0.2889 data_time: 0.0159 memory: 6332 grad_norm: 5.5509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7424 loss: 1.7424 2022/08/19 14:39:19 - mmengine - INFO - Epoch(train) [218][500/3757] lr: 5.6180e-03 eta: 11:53:08 time: 0.2865 data_time: 0.0178 memory: 6332 grad_norm: 5.9454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2825 loss: 2.2825 2022/08/19 14:39:49 - mmengine - INFO - Epoch(train) [218][600/3757] lr: 5.6180e-03 eta: 11:52:38 time: 0.2882 data_time: 0.0178 memory: 6332 grad_norm: 5.7871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8777 loss: 1.8777 2022/08/19 14:40:18 - mmengine - INFO - Epoch(train) [218][700/3757] lr: 5.6180e-03 eta: 11:52:09 time: 0.2893 data_time: 0.0170 memory: 6332 grad_norm: 5.9804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1778 loss: 2.1778 2022/08/19 14:40:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:40:49 - mmengine - INFO - Epoch(train) [218][800/3757] lr: 5.6180e-03 eta: 11:51:40 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 5.9589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2983 loss: 2.2983 2022/08/19 14:41:18 - mmengine - INFO - Epoch(train) [218][900/3757] lr: 5.6180e-03 eta: 11:51:11 time: 0.2893 data_time: 0.0184 memory: 6332 grad_norm: 5.9726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0742 loss: 2.0742 2022/08/19 14:41:47 - mmengine - INFO - Epoch(train) [218][1000/3757] lr: 5.6180e-03 eta: 11:50:42 time: 0.2886 data_time: 0.0171 memory: 6332 grad_norm: 5.7619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/19 14:42:17 - mmengine - INFO - Epoch(train) [218][1100/3757] lr: 5.6180e-03 eta: 11:50:12 time: 0.2884 data_time: 0.0179 memory: 6332 grad_norm: 6.0287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9761 loss: 1.9761 2022/08/19 14:42:46 - mmengine - INFO - Epoch(train) [218][1200/3757] lr: 5.6180e-03 eta: 11:49:43 time: 0.2893 data_time: 0.0193 memory: 6332 grad_norm: 5.8306 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8907 loss: 1.8907 2022/08/19 14:43:16 - mmengine - INFO - Epoch(train) [218][1300/3757] lr: 5.6180e-03 eta: 11:49:13 time: 0.2894 data_time: 0.0169 memory: 6332 grad_norm: 5.8691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7533 loss: 1.7533 2022/08/19 14:43:45 - mmengine - INFO - Epoch(train) [218][1400/3757] lr: 5.6180e-03 eta: 11:48:44 time: 0.3012 data_time: 0.0179 memory: 6332 grad_norm: 5.7753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9224 loss: 1.9224 2022/08/19 14:44:14 - mmengine - INFO - Epoch(train) [218][1500/3757] lr: 5.6180e-03 eta: 11:48:15 time: 0.2913 data_time: 0.0176 memory: 6332 grad_norm: 5.9157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8597 loss: 1.8597 2022/08/19 14:44:44 - mmengine - INFO - Epoch(train) [218][1600/3757] lr: 5.6180e-03 eta: 11:47:46 time: 0.2968 data_time: 0.0157 memory: 6332 grad_norm: 5.8936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9367 loss: 1.9367 2022/08/19 14:45:13 - mmengine - INFO - Epoch(train) [218][1700/3757] lr: 5.6180e-03 eta: 11:47:16 time: 0.2867 data_time: 0.0171 memory: 6332 grad_norm: 5.6774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9168 loss: 1.9168 2022/08/19 14:45:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:45:43 - mmengine - INFO - Epoch(train) [218][1800/3757] lr: 5.6180e-03 eta: 11:46:47 time: 0.2896 data_time: 0.0186 memory: 6332 grad_norm: 6.0834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2459 loss: 2.2459 2022/08/19 14:46:58 - mmengine - INFO - Epoch(train) [218][1900/3757] lr: 5.6180e-03 eta: 11:46:50 time: 0.2894 data_time: 0.0178 memory: 6332 grad_norm: 5.9344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9125 loss: 1.9125 2022/08/19 14:47:27 - mmengine - INFO - Epoch(train) [218][2000/3757] lr: 5.6180e-03 eta: 11:46:21 time: 0.2881 data_time: 0.0174 memory: 6332 grad_norm: 6.1255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2084 loss: 2.2084 2022/08/19 14:47:57 - mmengine - INFO - Epoch(train) [218][2100/3757] lr: 5.6180e-03 eta: 11:45:51 time: 0.2892 data_time: 0.0175 memory: 6332 grad_norm: 5.9990 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2780 loss: 2.2780 2022/08/19 14:48:26 - mmengine - INFO - Epoch(train) [218][2200/3757] lr: 5.6180e-03 eta: 11:45:22 time: 0.3076 data_time: 0.0168 memory: 6332 grad_norm: 5.8378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0728 loss: 2.0728 2022/08/19 14:48:58 - mmengine - INFO - Epoch(train) [218][2300/3757] lr: 5.6180e-03 eta: 11:44:54 time: 0.2890 data_time: 0.0179 memory: 6332 grad_norm: 5.9910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6175 loss: 1.6175 2022/08/19 14:49:33 - mmengine - INFO - Epoch(train) [218][2400/3757] lr: 5.6180e-03 eta: 11:44:29 time: 0.2893 data_time: 0.0190 memory: 6332 grad_norm: 5.8614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6851 loss: 1.6851 2022/08/19 14:50:03 - mmengine - INFO - Epoch(train) [218][2500/3757] lr: 5.6180e-03 eta: 11:44:00 time: 0.2976 data_time: 0.0197 memory: 6332 grad_norm: 5.9377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9849 loss: 1.9849 2022/08/19 14:50:35 - mmengine - INFO - Epoch(train) [218][2600/3757] lr: 5.6180e-03 eta: 11:43:32 time: 0.4029 data_time: 0.0167 memory: 6332 grad_norm: 5.8688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/08/19 14:51:04 - mmengine - INFO - Epoch(train) [218][2700/3757] lr: 5.6180e-03 eta: 11:43:02 time: 0.2887 data_time: 0.0171 memory: 6332 grad_norm: 5.9931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/08/19 14:51:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:51:33 - mmengine - INFO - Epoch(train) [218][2800/3757] lr: 5.6180e-03 eta: 11:42:33 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 5.8816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/08/19 14:52:02 - mmengine - INFO - Epoch(train) [218][2900/3757] lr: 5.6180e-03 eta: 11:42:03 time: 0.2867 data_time: 0.0166 memory: 6332 grad_norm: 5.8503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9685 loss: 1.9685 2022/08/19 14:52:31 - mmengine - INFO - Epoch(train) [218][3000/3757] lr: 5.6180e-03 eta: 11:41:34 time: 0.2886 data_time: 0.0186 memory: 6332 grad_norm: 5.9494 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/08/19 14:53:02 - mmengine - INFO - Epoch(train) [218][3100/3757] lr: 5.6180e-03 eta: 11:41:05 time: 0.2874 data_time: 0.0171 memory: 6332 grad_norm: 5.8284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/08/19 14:53:34 - mmengine - INFO - Epoch(train) [218][3200/3757] lr: 5.6180e-03 eta: 11:40:37 time: 0.2893 data_time: 0.0174 memory: 6332 grad_norm: 5.9490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9313 loss: 1.9313 2022/08/19 14:54:04 - mmengine - INFO - Epoch(train) [218][3300/3757] lr: 5.6180e-03 eta: 11:40:08 time: 0.2924 data_time: 0.0177 memory: 6332 grad_norm: 5.7494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1250 loss: 2.1250 2022/08/19 14:54:33 - mmengine - INFO - Epoch(train) [218][3400/3757] lr: 5.6180e-03 eta: 11:39:39 time: 0.2914 data_time: 0.0186 memory: 6332 grad_norm: 6.0342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0750 loss: 2.0750 2022/08/19 14:55:02 - mmengine - INFO - Epoch(train) [218][3500/3757] lr: 5.6180e-03 eta: 11:39:09 time: 0.2869 data_time: 0.0168 memory: 6332 grad_norm: 5.9244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9013 loss: 1.9013 2022/08/19 14:55:31 - mmengine - INFO - Epoch(train) [218][3600/3757] lr: 5.6180e-03 eta: 11:38:40 time: 0.2874 data_time: 0.0181 memory: 6332 grad_norm: 5.8666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0822 loss: 2.0822 2022/08/19 14:56:01 - mmengine - INFO - Epoch(train) [218][3700/3757] lr: 5.6180e-03 eta: 11:38:10 time: 0.2868 data_time: 0.0172 memory: 6332 grad_norm: 5.9580 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7277 loss: 1.7277 2022/08/19 14:56:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:56:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 14:56:17 - mmengine - INFO - Epoch(train) [218][3757/3757] lr: 5.6180e-03 eta: 11:37:58 time: 0.2788 data_time: 0.0263 memory: 6332 grad_norm: 5.8836 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9630 loss: 1.9630 2022/08/19 14:56:49 - mmengine - INFO - Epoch(train) [219][100/3757] lr: 5.3388e-03 eta: 11:37:22 time: 0.3097 data_time: 0.0205 memory: 6332 grad_norm: 5.8649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/08/19 14:57:18 - mmengine - INFO - Epoch(train) [219][200/3757] lr: 5.3388e-03 eta: 11:36:52 time: 0.2911 data_time: 0.0186 memory: 6332 grad_norm: 6.0152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0342 loss: 2.0342 2022/08/19 14:57:48 - mmengine - INFO - Epoch(train) [219][300/3757] lr: 5.3388e-03 eta: 11:36:23 time: 0.2907 data_time: 0.0173 memory: 6332 grad_norm: 5.8248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0343 loss: 2.0343 2022/08/19 14:58:17 - mmengine - INFO - Epoch(train) [219][400/3757] lr: 5.3388e-03 eta: 11:35:53 time: 0.2894 data_time: 0.0172 memory: 6332 grad_norm: 5.7514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7640 loss: 1.7640 2022/08/19 14:58:46 - mmengine - INFO - Epoch(train) [219][500/3757] lr: 5.3388e-03 eta: 11:35:24 time: 0.2888 data_time: 0.0182 memory: 6332 grad_norm: 5.7666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/08/19 14:59:16 - mmengine - INFO - Epoch(train) [219][600/3757] lr: 5.3388e-03 eta: 11:34:55 time: 0.2981 data_time: 0.0189 memory: 6332 grad_norm: 5.7981 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9268 loss: 1.9268 2022/08/19 14:59:45 - mmengine - INFO - Epoch(train) [219][700/3757] lr: 5.3388e-03 eta: 11:34:25 time: 0.2877 data_time: 0.0168 memory: 6332 grad_norm: 5.8284 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1441 loss: 2.1441 2022/08/19 15:00:14 - mmengine - INFO - Epoch(train) [219][800/3757] lr: 5.3388e-03 eta: 11:33:55 time: 0.2900 data_time: 0.0184 memory: 6332 grad_norm: 5.7994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7066 loss: 1.7066 2022/08/19 15:00:43 - mmengine - INFO - Epoch(train) [219][900/3757] lr: 5.3388e-03 eta: 11:33:26 time: 0.2896 data_time: 0.0198 memory: 6332 grad_norm: 5.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9129 loss: 1.9129 2022/08/19 15:01:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:01:13 - mmengine - INFO - Epoch(train) [219][1000/3757] lr: 5.3388e-03 eta: 11:32:56 time: 0.2868 data_time: 0.0167 memory: 6332 grad_norm: 5.9523 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0266 loss: 2.0266 2022/08/19 15:01:42 - mmengine - INFO - Epoch(train) [219][1100/3757] lr: 5.3388e-03 eta: 11:32:27 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 6.1808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9302 loss: 1.9302 2022/08/19 15:02:11 - mmengine - INFO - Epoch(train) [219][1200/3757] lr: 5.3388e-03 eta: 11:31:57 time: 0.2883 data_time: 0.0173 memory: 6332 grad_norm: 5.9879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9654 loss: 1.9654 2022/08/19 15:02:42 - mmengine - INFO - Epoch(train) [219][1300/3757] lr: 5.3388e-03 eta: 11:31:29 time: 0.2959 data_time: 0.0209 memory: 6332 grad_norm: 6.0861 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6430 loss: 1.6430 2022/08/19 15:03:17 - mmengine - INFO - Epoch(train) [219][1400/3757] lr: 5.3388e-03 eta: 11:31:03 time: 0.2889 data_time: 0.0179 memory: 6332 grad_norm: 6.0630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/08/19 15:03:46 - mmengine - INFO - Epoch(train) [219][1500/3757] lr: 5.3388e-03 eta: 11:30:34 time: 0.2907 data_time: 0.0166 memory: 6332 grad_norm: 6.1735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8686 loss: 1.8686 2022/08/19 15:04:16 - mmengine - INFO - Epoch(train) [219][1600/3757] lr: 5.3388e-03 eta: 11:30:04 time: 0.2898 data_time: 0.0160 memory: 6332 grad_norm: 6.0480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8850 loss: 1.8850 2022/08/19 15:04:45 - mmengine - INFO - Epoch(train) [219][1700/3757] lr: 5.3388e-03 eta: 11:29:35 time: 0.2918 data_time: 0.0188 memory: 6332 grad_norm: 5.9783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6829 loss: 1.6829 2022/08/19 15:05:14 - mmengine - INFO - Epoch(train) [219][1800/3757] lr: 5.3388e-03 eta: 11:29:05 time: 0.2907 data_time: 0.0208 memory: 6332 grad_norm: 5.9139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9064 loss: 1.9064 2022/08/19 15:05:44 - mmengine - INFO - Epoch(train) [219][1900/3757] lr: 5.3388e-03 eta: 11:28:36 time: 0.2887 data_time: 0.0174 memory: 6332 grad_norm: 5.8842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/08/19 15:06:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:06:15 - mmengine - INFO - Epoch(train) [219][2000/3757] lr: 5.3388e-03 eta: 11:28:08 time: 0.3342 data_time: 0.0180 memory: 6332 grad_norm: 6.0751 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.9849 loss: 1.9849 2022/08/19 15:06:47 - mmengine - INFO - Epoch(train) [219][2100/3757] lr: 5.3388e-03 eta: 11:27:40 time: 0.2893 data_time: 0.0179 memory: 6332 grad_norm: 6.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9854 loss: 1.9854 2022/08/19 15:07:17 - mmengine - INFO - Epoch(train) [219][2200/3757] lr: 5.3388e-03 eta: 11:27:11 time: 0.2933 data_time: 0.0186 memory: 6332 grad_norm: 5.9509 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8361 loss: 1.8361 2022/08/19 15:07:48 - mmengine - INFO - Epoch(train) [219][2300/3757] lr: 5.3388e-03 eta: 11:26:43 time: 0.2872 data_time: 0.0171 memory: 6332 grad_norm: 5.8635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9783 loss: 1.9783 2022/08/19 15:08:18 - mmengine - INFO - Epoch(train) [219][2400/3757] lr: 5.3388e-03 eta: 11:26:14 time: 0.2916 data_time: 0.0175 memory: 6332 grad_norm: 6.0268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9350 loss: 1.9350 2022/08/19 15:08:47 - mmengine - INFO - Epoch(train) [219][2500/3757] lr: 5.3388e-03 eta: 11:25:44 time: 0.2892 data_time: 0.0176 memory: 6332 grad_norm: 6.0470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7844 loss: 1.7844 2022/08/19 15:09:16 - mmengine - INFO - Epoch(train) [219][2600/3757] lr: 5.3388e-03 eta: 11:25:15 time: 0.2882 data_time: 0.0174 memory: 6332 grad_norm: 6.0633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9919 loss: 1.9919 2022/08/19 15:09:46 - mmengine - INFO - Epoch(train) [219][2700/3757] lr: 5.3388e-03 eta: 11:24:45 time: 0.2877 data_time: 0.0178 memory: 6332 grad_norm: 5.9188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9774 loss: 1.9774 2022/08/19 15:10:15 - mmengine - INFO - Epoch(train) [219][2800/3757] lr: 5.3388e-03 eta: 11:24:16 time: 0.2902 data_time: 0.0161 memory: 6332 grad_norm: 5.9927 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0206 loss: 2.0206 2022/08/19 15:10:46 - mmengine - INFO - Epoch(train) [219][2900/3757] lr: 5.3388e-03 eta: 11:23:47 time: 0.3402 data_time: 0.0286 memory: 6332 grad_norm: 5.8699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1657 loss: 2.1657 2022/08/19 15:11:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:11:16 - mmengine - INFO - Epoch(train) [219][3000/3757] lr: 5.3388e-03 eta: 11:23:18 time: 0.2891 data_time: 0.0181 memory: 6332 grad_norm: 5.9614 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8702 loss: 1.8702 2022/08/19 15:12:39 - mmengine - INFO - Epoch(train) [219][3100/3757] lr: 5.3388e-03 eta: 11:23:25 time: 2.9355 data_time: 0.1037 memory: 6332 grad_norm: 6.0994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7887 loss: 1.7887 2022/08/19 15:13:09 - mmengine - INFO - Epoch(train) [219][3200/3757] lr: 5.3388e-03 eta: 11:22:56 time: 0.2863 data_time: 0.0172 memory: 6332 grad_norm: 5.8890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/08/19 15:13:38 - mmengine - INFO - Epoch(train) [219][3300/3757] lr: 5.3388e-03 eta: 11:22:27 time: 0.2918 data_time: 0.0182 memory: 6332 grad_norm: 6.1332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/08/19 15:14:08 - mmengine - INFO - Epoch(train) [219][3400/3757] lr: 5.3388e-03 eta: 11:21:57 time: 0.2888 data_time: 0.0174 memory: 6332 grad_norm: 6.0406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8707 loss: 1.8707 2022/08/19 15:14:38 - mmengine - INFO - Epoch(train) [219][3500/3757] lr: 5.3388e-03 eta: 11:21:28 time: 0.2916 data_time: 0.0180 memory: 6332 grad_norm: 6.0312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/08/19 15:15:10 - mmengine - INFO - Epoch(train) [219][3600/3757] lr: 5.3388e-03 eta: 11:21:01 time: 0.4324 data_time: 0.0379 memory: 6332 grad_norm: 5.9429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/08/19 15:15:40 - mmengine - INFO - Epoch(train) [219][3700/3757] lr: 5.3388e-03 eta: 11:20:31 time: 0.2992 data_time: 0.0171 memory: 6332 grad_norm: 6.2272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0392 loss: 2.0392 2022/08/19 15:15:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:15:58 - mmengine - INFO - Epoch(train) [219][3757/3757] lr: 5.3388e-03 eta: 11:20:20 time: 0.3653 data_time: 0.0167 memory: 6332 grad_norm: 6.0924 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8975 loss: 1.8975 2022/08/19 15:16:31 - mmengine - INFO - Epoch(train) [220][100/3757] lr: 5.0663e-03 eta: 11:19:44 time: 0.2978 data_time: 0.0272 memory: 6332 grad_norm: 6.0502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2005 loss: 2.2005 2022/08/19 15:17:01 - mmengine - INFO - Epoch(train) [220][200/3757] lr: 5.0663e-03 eta: 11:19:15 time: 0.2856 data_time: 0.0169 memory: 6332 grad_norm: 5.9082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/08/19 15:17:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:17:30 - mmengine - INFO - Epoch(train) [220][300/3757] lr: 5.0663e-03 eta: 11:18:45 time: 0.2900 data_time: 0.0183 memory: 6332 grad_norm: 5.8378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7947 loss: 1.7947 2022/08/19 15:17:59 - mmengine - INFO - Epoch(train) [220][400/3757] lr: 5.0663e-03 eta: 11:18:15 time: 0.2884 data_time: 0.0175 memory: 6332 grad_norm: 6.1395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3983 loss: 1.3983 2022/08/19 15:18:28 - mmengine - INFO - Epoch(train) [220][500/3757] lr: 5.0663e-03 eta: 11:17:46 time: 0.2919 data_time: 0.0166 memory: 6332 grad_norm: 6.0410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1822 loss: 2.1822 2022/08/19 15:18:59 - mmengine - INFO - Epoch(train) [220][600/3757] lr: 5.0663e-03 eta: 11:17:17 time: 0.2880 data_time: 0.0164 memory: 6332 grad_norm: 5.9922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/08/19 15:19:29 - mmengine - INFO - Epoch(train) [220][700/3757] lr: 5.0663e-03 eta: 11:16:48 time: 0.2977 data_time: 0.0171 memory: 6332 grad_norm: 6.2932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9067 loss: 1.9067 2022/08/19 15:19:58 - mmengine - INFO - Epoch(train) [220][800/3757] lr: 5.0663e-03 eta: 11:16:18 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 6.1353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8755 loss: 1.8755 2022/08/19 15:20:29 - mmengine - INFO - Epoch(train) [220][900/3757] lr: 5.0663e-03 eta: 11:15:50 time: 0.2962 data_time: 0.0176 memory: 6332 grad_norm: 6.1912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7489 loss: 1.7489 2022/08/19 15:20:59 - mmengine - INFO - Epoch(train) [220][1000/3757] lr: 5.0663e-03 eta: 11:15:21 time: 0.2891 data_time: 0.0167 memory: 6332 grad_norm: 6.1631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7293 loss: 1.7293 2022/08/19 15:21:28 - mmengine - INFO - Epoch(train) [220][1100/3757] lr: 5.0663e-03 eta: 11:14:51 time: 0.2929 data_time: 0.0184 memory: 6332 grad_norm: 6.0106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8924 loss: 1.8924 2022/08/19 15:21:57 - mmengine - INFO - Epoch(train) [220][1200/3757] lr: 5.0663e-03 eta: 11:14:22 time: 0.2883 data_time: 0.0166 memory: 6332 grad_norm: 6.1124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0421 loss: 2.0421 2022/08/19 15:22:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:22:27 - mmengine - INFO - Epoch(train) [220][1300/3757] lr: 5.0663e-03 eta: 11:13:52 time: 0.2895 data_time: 0.0182 memory: 6332 grad_norm: 5.9785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9294 loss: 1.9294 2022/08/19 15:22:56 - mmengine - INFO - Epoch(train) [220][1400/3757] lr: 5.0663e-03 eta: 11:13:22 time: 0.2882 data_time: 0.0172 memory: 6332 grad_norm: 6.1008 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0574 loss: 2.0574 2022/08/19 15:23:26 - mmengine - INFO - Epoch(train) [220][1500/3757] lr: 5.0663e-03 eta: 11:12:53 time: 0.2914 data_time: 0.0186 memory: 6332 grad_norm: 5.9439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8600 loss: 1.8600 2022/08/19 15:23:55 - mmengine - INFO - Epoch(train) [220][1600/3757] lr: 5.0663e-03 eta: 11:12:24 time: 0.2881 data_time: 0.0166 memory: 6332 grad_norm: 5.8591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9183 loss: 1.9183 2022/08/19 15:24:24 - mmengine - INFO - Epoch(train) [220][1700/3757] lr: 5.0663e-03 eta: 11:11:54 time: 0.2892 data_time: 0.0173 memory: 6332 grad_norm: 6.0427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3277 loss: 2.3277 2022/08/19 15:24:53 - mmengine - INFO - Epoch(train) [220][1800/3757] lr: 5.0663e-03 eta: 11:11:25 time: 0.2888 data_time: 0.0173 memory: 6332 grad_norm: 5.9287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/08/19 15:25:23 - mmengine - INFO - Epoch(train) [220][1900/3757] lr: 5.0663e-03 eta: 11:10:55 time: 0.2904 data_time: 0.0170 memory: 6332 grad_norm: 6.0827 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0498 loss: 2.0498 2022/08/19 15:25:52 - mmengine - INFO - Epoch(train) [220][2000/3757] lr: 5.0663e-03 eta: 11:10:25 time: 0.2892 data_time: 0.0170 memory: 6332 grad_norm: 6.0992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9781 loss: 1.9781 2022/08/19 15:26:21 - mmengine - INFO - Epoch(train) [220][2100/3757] lr: 5.0663e-03 eta: 11:09:56 time: 0.2897 data_time: 0.0178 memory: 6332 grad_norm: 5.9293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7223 loss: 1.7223 2022/08/19 15:26:50 - mmengine - INFO - Epoch(train) [220][2200/3757] lr: 5.0663e-03 eta: 11:09:26 time: 0.2907 data_time: 0.0179 memory: 6332 grad_norm: 6.2255 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9017 loss: 1.9017 2022/08/19 15:26:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:27:20 - mmengine - INFO - Epoch(train) [220][2300/3757] lr: 5.0663e-03 eta: 11:08:57 time: 0.2897 data_time: 0.0170 memory: 6332 grad_norm: 6.1301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7412 loss: 1.7412 2022/08/19 15:27:49 - mmengine - INFO - Epoch(train) [220][2400/3757] lr: 5.0663e-03 eta: 11:08:27 time: 0.2943 data_time: 0.0169 memory: 6332 grad_norm: 6.1277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9669 loss: 1.9669 2022/08/19 15:28:18 - mmengine - INFO - Epoch(train) [220][2500/3757] lr: 5.0663e-03 eta: 11:07:58 time: 0.2906 data_time: 0.0169 memory: 6332 grad_norm: 5.9377 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7333 loss: 1.7333 2022/08/19 15:28:47 - mmengine - INFO - Epoch(train) [220][2600/3757] lr: 5.0663e-03 eta: 11:07:28 time: 0.2917 data_time: 0.0176 memory: 6332 grad_norm: 6.2579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8718 loss: 1.8718 2022/08/19 15:29:17 - mmengine - INFO - Epoch(train) [220][2700/3757] lr: 5.0663e-03 eta: 11:06:58 time: 0.2903 data_time: 0.0167 memory: 6332 grad_norm: 5.9899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8260 loss: 1.8260 2022/08/19 15:29:46 - mmengine - INFO - Epoch(train) [220][2800/3757] lr: 5.0663e-03 eta: 11:06:29 time: 0.2884 data_time: 0.0169 memory: 6332 grad_norm: 6.1319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/08/19 15:30:15 - mmengine - INFO - Epoch(train) [220][2900/3757] lr: 5.0663e-03 eta: 11:05:59 time: 0.2866 data_time: 0.0165 memory: 6332 grad_norm: 6.0370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2423 loss: 1.2423 2022/08/19 15:30:44 - mmengine - INFO - Epoch(train) [220][3000/3757] lr: 5.0663e-03 eta: 11:05:30 time: 0.2883 data_time: 0.0171 memory: 6332 grad_norm: 6.0396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8282 loss: 1.8282 2022/08/19 15:31:14 - mmengine - INFO - Epoch(train) [220][3100/3757] lr: 5.0663e-03 eta: 11:05:00 time: 0.2868 data_time: 0.0172 memory: 6332 grad_norm: 6.0099 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8024 loss: 1.8024 2022/08/19 15:31:43 - mmengine - INFO - Epoch(train) [220][3200/3757] lr: 5.0663e-03 eta: 11:04:31 time: 0.2889 data_time: 0.0177 memory: 6332 grad_norm: 6.0286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8582 loss: 1.8582 2022/08/19 15:31:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:32:12 - mmengine - INFO - Epoch(train) [220][3300/3757] lr: 5.0663e-03 eta: 11:04:01 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 5.9880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2591 loss: 2.2591 2022/08/19 15:32:41 - mmengine - INFO - Epoch(train) [220][3400/3757] lr: 5.0663e-03 eta: 11:03:31 time: 0.2883 data_time: 0.0175 memory: 6332 grad_norm: 5.9984 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/08/19 15:33:11 - mmengine - INFO - Epoch(train) [220][3500/3757] lr: 5.0663e-03 eta: 11:03:02 time: 0.2905 data_time: 0.0171 memory: 6332 grad_norm: 6.2264 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1723 loss: 2.1723 2022/08/19 15:33:40 - mmengine - INFO - Epoch(train) [220][3600/3757] lr: 5.0663e-03 eta: 11:02:32 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 6.0313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8251 loss: 1.8251 2022/08/19 15:34:09 - mmengine - INFO - Epoch(train) [220][3700/3757] lr: 5.0663e-03 eta: 11:02:03 time: 0.2885 data_time: 0.0185 memory: 6332 grad_norm: 6.1426 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0583 loss: 2.0583 2022/08/19 15:34:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:34:25 - mmengine - INFO - Epoch(train) [220][3757/3757] lr: 5.0663e-03 eta: 11:01:51 time: 0.2694 data_time: 0.0156 memory: 6332 grad_norm: 6.1064 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7960 loss: 1.7960 2022/08/19 15:34:25 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/19 15:34:52 - mmengine - INFO - Epoch(val) [220][100/310] eta: 0:00:44 time: 0.2114 data_time: 0.1142 memory: 1147 2022/08/19 15:35:13 - mmengine - INFO - Epoch(val) [220][200/310] eta: 0:00:19 time: 0.1750 data_time: 0.0820 memory: 1147 2022/08/19 15:35:32 - mmengine - INFO - Epoch(val) [220][300/310] eta: 0:00:01 time: 0.1293 data_time: 0.0543 memory: 1147 2022/08/19 15:35:34 - mmengine - INFO - Epoch(val) [220][310/310] acc/top1: 0.6268 acc/top5: 0.8419 acc/mean1: 0.6267 2022/08/19 15:35:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_216.pth is removed 2022/08/19 15:35:38 - mmengine - INFO - The best checkpoint with 0.6268 acc/top1 at 221 epoch is saved to best_acc/top1_epoch_221.pth. 2022/08/19 15:36:08 - mmengine - INFO - Epoch(train) [221][100/3757] lr: 4.8005e-03 eta: 11:01:14 time: 0.2885 data_time: 0.0191 memory: 6332 grad_norm: 6.0880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9446 loss: 1.9446 2022/08/19 15:36:37 - mmengine - INFO - Epoch(train) [221][200/3757] lr: 4.8005e-03 eta: 11:00:44 time: 0.2877 data_time: 0.0168 memory: 6332 grad_norm: 5.9273 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7377 loss: 1.7377 2022/08/19 15:37:06 - mmengine - INFO - Epoch(train) [221][300/3757] lr: 4.8005e-03 eta: 11:00:14 time: 0.2888 data_time: 0.0178 memory: 6332 grad_norm: 6.1018 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8347 loss: 1.8347 2022/08/19 15:37:35 - mmengine - INFO - Epoch(train) [221][400/3757] lr: 4.8005e-03 eta: 10:59:45 time: 0.2886 data_time: 0.0171 memory: 6332 grad_norm: 6.2728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0215 loss: 2.0215 2022/08/19 15:37:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:38:05 - mmengine - INFO - Epoch(train) [221][500/3757] lr: 4.8005e-03 eta: 10:59:15 time: 0.2888 data_time: 0.0166 memory: 6332 grad_norm: 6.1443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8332 loss: 1.8332 2022/08/19 15:39:28 - mmengine - INFO - Epoch(train) [221][600/3757] lr: 4.8005e-03 eta: 10:59:20 time: 0.2924 data_time: 0.0159 memory: 6332 grad_norm: 6.2484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9689 loss: 1.9689 2022/08/19 15:39:57 - mmengine - INFO - Epoch(train) [221][700/3757] lr: 4.8005e-03 eta: 10:58:51 time: 0.2881 data_time: 0.0178 memory: 6332 grad_norm: 6.1439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8914 loss: 1.8914 2022/08/19 15:40:26 - mmengine - INFO - Epoch(train) [221][800/3757] lr: 4.8005e-03 eta: 10:58:21 time: 0.2880 data_time: 0.0178 memory: 6332 grad_norm: 6.0329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8442 loss: 1.8442 2022/08/19 15:40:56 - mmengine - INFO - Epoch(train) [221][900/3757] lr: 4.8005e-03 eta: 10:57:51 time: 0.2896 data_time: 0.0179 memory: 6332 grad_norm: 6.1226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7114 loss: 1.7114 2022/08/19 15:41:25 - mmengine - INFO - Epoch(train) [221][1000/3757] lr: 4.8005e-03 eta: 10:57:22 time: 0.2874 data_time: 0.0180 memory: 6332 grad_norm: 6.1957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/08/19 15:41:55 - mmengine - INFO - Epoch(train) [221][1100/3757] lr: 4.8005e-03 eta: 10:56:53 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 6.2315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0571 loss: 2.0571 2022/08/19 15:42:24 - mmengine - INFO - Epoch(train) [221][1200/3757] lr: 4.8005e-03 eta: 10:56:23 time: 0.2887 data_time: 0.0178 memory: 6332 grad_norm: 6.0892 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0280 loss: 2.0280 2022/08/19 15:42:53 - mmengine - INFO - Epoch(train) [221][1300/3757] lr: 4.8005e-03 eta: 10:55:53 time: 0.2888 data_time: 0.0172 memory: 6332 grad_norm: 6.1476 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9018 loss: 1.9018 2022/08/19 15:43:22 - mmengine - INFO - Epoch(train) [221][1400/3757] lr: 4.8005e-03 eta: 10:55:24 time: 0.2901 data_time: 0.0191 memory: 6332 grad_norm: 6.3030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7607 loss: 1.7607 2022/08/19 15:43:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:43:51 - mmengine - INFO - Epoch(train) [221][1500/3757] lr: 4.8005e-03 eta: 10:54:54 time: 0.2873 data_time: 0.0182 memory: 6332 grad_norm: 6.3663 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8542 loss: 1.8542 2022/08/19 15:44:21 - mmengine - INFO - Epoch(train) [221][1600/3757] lr: 4.8005e-03 eta: 10:54:25 time: 0.3036 data_time: 0.0169 memory: 6332 grad_norm: 6.2303 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/08/19 15:44:50 - mmengine - INFO - Epoch(train) [221][1700/3757] lr: 4.8005e-03 eta: 10:53:55 time: 0.2878 data_time: 0.0169 memory: 6332 grad_norm: 5.9497 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8758 loss: 1.8758 2022/08/19 15:45:19 - mmengine - INFO - Epoch(train) [221][1800/3757] lr: 4.8005e-03 eta: 10:53:25 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 6.0092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1577 loss: 2.1577 2022/08/19 15:45:49 - mmengine - INFO - Epoch(train) [221][1900/3757] lr: 4.8005e-03 eta: 10:52:56 time: 0.2886 data_time: 0.0179 memory: 6332 grad_norm: 6.1429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9154 loss: 1.9154 2022/08/19 15:46:18 - mmengine - INFO - Epoch(train) [221][2000/3757] lr: 4.8005e-03 eta: 10:52:26 time: 0.2915 data_time: 0.0183 memory: 6332 grad_norm: 6.3708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0737 loss: 2.0737 2022/08/19 15:46:47 - mmengine - INFO - Epoch(train) [221][2100/3757] lr: 4.8005e-03 eta: 10:51:56 time: 0.2872 data_time: 0.0178 memory: 6332 grad_norm: 6.1984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/08/19 15:47:16 - mmengine - INFO - Epoch(train) [221][2200/3757] lr: 4.8005e-03 eta: 10:51:27 time: 0.2873 data_time: 0.0164 memory: 6332 grad_norm: 6.2314 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0373 loss: 2.0373 2022/08/19 15:47:45 - mmengine - INFO - Epoch(train) [221][2300/3757] lr: 4.8005e-03 eta: 10:50:57 time: 0.2879 data_time: 0.0172 memory: 6332 grad_norm: 6.1584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/08/19 15:48:15 - mmengine - INFO - Epoch(train) [221][2400/3757] lr: 4.8005e-03 eta: 10:50:28 time: 0.2876 data_time: 0.0171 memory: 6332 grad_norm: 6.2052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9177 loss: 1.9177 2022/08/19 15:48:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:48:44 - mmengine - INFO - Epoch(train) [221][2500/3757] lr: 4.8005e-03 eta: 10:49:58 time: 0.2887 data_time: 0.0171 memory: 6332 grad_norm: 6.0373 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8656 loss: 1.8656 2022/08/19 15:49:13 - mmengine - INFO - Epoch(train) [221][2600/3757] lr: 4.8005e-03 eta: 10:49:28 time: 0.2915 data_time: 0.0170 memory: 6332 grad_norm: 6.2214 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9406 loss: 1.9406 2022/08/19 15:49:43 - mmengine - INFO - Epoch(train) [221][2700/3757] lr: 4.8005e-03 eta: 10:48:59 time: 0.2878 data_time: 0.0163 memory: 6332 grad_norm: 6.1305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0899 loss: 2.0899 2022/08/19 15:50:12 - mmengine - INFO - Epoch(train) [221][2800/3757] lr: 4.8005e-03 eta: 10:48:29 time: 0.2899 data_time: 0.0185 memory: 6332 grad_norm: 5.8262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/08/19 15:50:41 - mmengine - INFO - Epoch(train) [221][2900/3757] lr: 4.8005e-03 eta: 10:48:00 time: 0.2910 data_time: 0.0175 memory: 6332 grad_norm: 6.2547 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0125 loss: 2.0125 2022/08/19 15:51:11 - mmengine - INFO - Epoch(train) [221][3000/3757] lr: 4.8005e-03 eta: 10:47:30 time: 0.2987 data_time: 0.0179 memory: 6332 grad_norm: 6.3276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8159 loss: 1.8159 2022/08/19 15:51:40 - mmengine - INFO - Epoch(train) [221][3100/3757] lr: 4.8005e-03 eta: 10:47:01 time: 0.2913 data_time: 0.0177 memory: 6332 grad_norm: 5.9130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5594 loss: 1.5594 2022/08/19 15:52:10 - mmengine - INFO - Epoch(train) [221][3200/3757] lr: 4.8005e-03 eta: 10:46:32 time: 0.3154 data_time: 0.0178 memory: 6332 grad_norm: 6.1004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8568 loss: 1.8568 2022/08/19 15:52:40 - mmengine - INFO - Epoch(train) [221][3300/3757] lr: 4.8005e-03 eta: 10:46:02 time: 0.2892 data_time: 0.0172 memory: 6332 grad_norm: 6.1771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9416 loss: 1.9416 2022/08/19 15:53:09 - mmengine - INFO - Epoch(train) [221][3400/3757] lr: 4.8005e-03 eta: 10:45:33 time: 0.2905 data_time: 0.0170 memory: 6332 grad_norm: 6.2437 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2804 loss: 2.2804 2022/08/19 15:53:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:53:38 - mmengine - INFO - Epoch(train) [221][3500/3757] lr: 4.8005e-03 eta: 10:45:03 time: 0.2881 data_time: 0.0172 memory: 6332 grad_norm: 6.3288 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0016 loss: 2.0016 2022/08/19 15:54:08 - mmengine - INFO - Epoch(train) [221][3600/3757] lr: 4.8005e-03 eta: 10:44:34 time: 0.2878 data_time: 0.0176 memory: 6332 grad_norm: 6.2174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/08/19 15:54:37 - mmengine - INFO - Epoch(train) [221][3700/3757] lr: 4.8005e-03 eta: 10:44:04 time: 0.2887 data_time: 0.0176 memory: 6332 grad_norm: 6.2083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/08/19 15:54:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:54:53 - mmengine - INFO - Epoch(train) [221][3757/3757] lr: 4.8005e-03 eta: 10:43:52 time: 0.2692 data_time: 0.0157 memory: 6332 grad_norm: 6.1638 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9018 loss: 1.9018 2022/08/19 15:55:25 - mmengine - INFO - Epoch(train) [222][100/3757] lr: 4.5416e-03 eta: 10:43:16 time: 0.2880 data_time: 0.0178 memory: 6332 grad_norm: 6.3633 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6878 loss: 1.6878 2022/08/19 15:55:54 - mmengine - INFO - Epoch(train) [222][200/3757] lr: 4.5416e-03 eta: 10:42:46 time: 0.2890 data_time: 0.0178 memory: 6332 grad_norm: 6.1871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6825 loss: 1.6825 2022/08/19 15:56:23 - mmengine - INFO - Epoch(train) [222][300/3757] lr: 4.5416e-03 eta: 10:42:17 time: 0.2910 data_time: 0.0187 memory: 6332 grad_norm: 6.1345 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7532 loss: 1.7532 2022/08/19 15:56:52 - mmengine - INFO - Epoch(train) [222][400/3757] lr: 4.5416e-03 eta: 10:41:47 time: 0.2890 data_time: 0.0180 memory: 6332 grad_norm: 6.0317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8877 loss: 1.8877 2022/08/19 15:57:21 - mmengine - INFO - Epoch(train) [222][500/3757] lr: 4.5416e-03 eta: 10:41:17 time: 0.2910 data_time: 0.0184 memory: 6332 grad_norm: 6.2416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/08/19 15:57:51 - mmengine - INFO - Epoch(train) [222][600/3757] lr: 4.5416e-03 eta: 10:40:48 time: 0.2888 data_time: 0.0164 memory: 6332 grad_norm: 6.2276 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2282 loss: 2.2282 2022/08/19 15:58:20 - mmengine - INFO - Epoch(train) [222][700/3757] lr: 4.5416e-03 eta: 10:40:18 time: 0.2914 data_time: 0.0178 memory: 6332 grad_norm: 6.2528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/08/19 15:58:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 15:58:49 - mmengine - INFO - Epoch(train) [222][800/3757] lr: 4.5416e-03 eta: 10:39:49 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 6.0840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8023 loss: 1.8023 2022/08/19 15:59:18 - mmengine - INFO - Epoch(train) [222][900/3757] lr: 4.5416e-03 eta: 10:39:19 time: 0.2897 data_time: 0.0177 memory: 6332 grad_norm: 6.3391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8243 loss: 1.8243 2022/08/19 15:59:49 - mmengine - INFO - Epoch(train) [222][1000/3757] lr: 4.5416e-03 eta: 10:38:50 time: 0.2877 data_time: 0.0163 memory: 6332 grad_norm: 6.2465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0408 loss: 2.0408 2022/08/19 16:00:18 - mmengine - INFO - Epoch(train) [222][1100/3757] lr: 4.5416e-03 eta: 10:38:21 time: 0.2883 data_time: 0.0167 memory: 6332 grad_norm: 6.4231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7724 loss: 1.7724 2022/08/19 16:00:49 - mmengine - INFO - Epoch(train) [222][1200/3757] lr: 4.5416e-03 eta: 10:37:52 time: 0.2899 data_time: 0.0179 memory: 6332 grad_norm: 6.2965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9442 loss: 1.9442 2022/08/19 16:01:19 - mmengine - INFO - Epoch(train) [222][1300/3757] lr: 4.5416e-03 eta: 10:37:23 time: 0.2887 data_time: 0.0166 memory: 6332 grad_norm: 6.0105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9474 loss: 1.9474 2022/08/19 16:01:48 - mmengine - INFO - Epoch(train) [222][1400/3757] lr: 4.5416e-03 eta: 10:36:53 time: 0.2892 data_time: 0.0171 memory: 6332 grad_norm: 6.3177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9032 loss: 1.9032 2022/08/19 16:02:17 - mmengine - INFO - Epoch(train) [222][1500/3757] lr: 4.5416e-03 eta: 10:36:24 time: 0.2884 data_time: 0.0172 memory: 6332 grad_norm: 6.1514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9727 loss: 1.9727 2022/08/19 16:02:47 - mmengine - INFO - Epoch(train) [222][1600/3757] lr: 4.5416e-03 eta: 10:35:54 time: 0.2879 data_time: 0.0173 memory: 6332 grad_norm: 6.1293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/08/19 16:03:16 - mmengine - INFO - Epoch(train) [222][1700/3757] lr: 4.5416e-03 eta: 10:35:25 time: 0.2895 data_time: 0.0169 memory: 6332 grad_norm: 6.1162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8556 loss: 1.8556 2022/08/19 16:03:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:03:45 - mmengine - INFO - Epoch(train) [222][1800/3757] lr: 4.5416e-03 eta: 10:34:55 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 6.2322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1680 loss: 2.1680 2022/08/19 16:04:15 - mmengine - INFO - Epoch(train) [222][1900/3757] lr: 4.5416e-03 eta: 10:34:26 time: 0.2981 data_time: 0.0284 memory: 6332 grad_norm: 6.0168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/08/19 16:04:45 - mmengine - INFO - Epoch(train) [222][2000/3757] lr: 4.5416e-03 eta: 10:33:56 time: 0.2902 data_time: 0.0177 memory: 6332 grad_norm: 6.2392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0150 loss: 2.0150 2022/08/19 16:05:14 - mmengine - INFO - Epoch(train) [222][2100/3757] lr: 4.5416e-03 eta: 10:33:27 time: 0.2888 data_time: 0.0164 memory: 6332 grad_norm: 6.2974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9973 loss: 1.9973 2022/08/19 16:05:43 - mmengine - INFO - Epoch(train) [222][2200/3757] lr: 4.5416e-03 eta: 10:32:57 time: 0.2910 data_time: 0.0171 memory: 6332 grad_norm: 6.1419 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0415 loss: 2.0415 2022/08/19 16:07:08 - mmengine - INFO - Epoch(train) [222][2300/3757] lr: 4.5416e-03 eta: 10:33:01 time: 0.2897 data_time: 0.0174 memory: 6332 grad_norm: 6.1691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8183 loss: 1.8183 2022/08/19 16:07:37 - mmengine - INFO - Epoch(train) [222][2400/3757] lr: 4.5416e-03 eta: 10:32:31 time: 0.2872 data_time: 0.0176 memory: 6332 grad_norm: 6.1765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8734 loss: 1.8734 2022/08/19 16:08:06 - mmengine - INFO - Epoch(train) [222][2500/3757] lr: 4.5416e-03 eta: 10:32:02 time: 0.2862 data_time: 0.0165 memory: 6332 grad_norm: 6.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1972 loss: 2.1972 2022/08/19 16:08:36 - mmengine - INFO - Epoch(train) [222][2600/3757] lr: 4.5416e-03 eta: 10:31:32 time: 0.2868 data_time: 0.0178 memory: 6332 grad_norm: 6.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8845 loss: 1.8845 2022/08/19 16:09:05 - mmengine - INFO - Epoch(train) [222][2700/3757] lr: 4.5416e-03 eta: 10:31:03 time: 0.2898 data_time: 0.0169 memory: 6332 grad_norm: 6.1456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9975 loss: 1.9975 2022/08/19 16:09:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:09:38 - mmengine - INFO - Epoch(train) [222][2800/3757] lr: 4.5416e-03 eta: 10:30:35 time: 0.2882 data_time: 0.0171 memory: 6332 grad_norm: 6.0787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6084 loss: 1.6084 2022/08/19 16:10:09 - mmengine - INFO - Epoch(train) [222][2900/3757] lr: 4.5416e-03 eta: 10:30:06 time: 0.2893 data_time: 0.0164 memory: 6332 grad_norm: 6.1346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5840 loss: 1.5840 2022/08/19 16:10:38 - mmengine - INFO - Epoch(train) [222][3000/3757] lr: 4.5416e-03 eta: 10:29:37 time: 0.2877 data_time: 0.0178 memory: 6332 grad_norm: 6.2111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8371 loss: 1.8371 2022/08/19 16:11:08 - mmengine - INFO - Epoch(train) [222][3100/3757] lr: 4.5416e-03 eta: 10:29:07 time: 0.2887 data_time: 0.0172 memory: 6332 grad_norm: 6.2069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9870 loss: 1.9870 2022/08/19 16:11:38 - mmengine - INFO - Epoch(train) [222][3200/3757] lr: 4.5416e-03 eta: 10:28:38 time: 0.2876 data_time: 0.0167 memory: 6332 grad_norm: 6.1175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7958 loss: 1.7958 2022/08/19 16:12:07 - mmengine - INFO - Epoch(train) [222][3300/3757] lr: 4.5416e-03 eta: 10:28:08 time: 0.2893 data_time: 0.0181 memory: 6332 grad_norm: 6.2110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9320 loss: 1.9320 2022/08/19 16:12:36 - mmengine - INFO - Epoch(train) [222][3400/3757] lr: 4.5416e-03 eta: 10:27:39 time: 0.2883 data_time: 0.0183 memory: 6332 grad_norm: 6.2646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0153 loss: 2.0153 2022/08/19 16:13:06 - mmengine - INFO - Epoch(train) [222][3500/3757] lr: 4.5416e-03 eta: 10:27:09 time: 0.2866 data_time: 0.0164 memory: 6332 grad_norm: 6.1197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0028 loss: 2.0028 2022/08/19 16:13:35 - mmengine - INFO - Epoch(train) [222][3600/3757] lr: 4.5416e-03 eta: 10:26:40 time: 0.2936 data_time: 0.0194 memory: 6332 grad_norm: 6.2289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0448 loss: 2.0448 2022/08/19 16:14:04 - mmengine - INFO - Epoch(train) [222][3700/3757] lr: 4.5416e-03 eta: 10:26:10 time: 0.2898 data_time: 0.0179 memory: 6332 grad_norm: 6.1103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0688 loss: 2.0688 2022/08/19 16:14:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:14:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:14:21 - mmengine - INFO - Epoch(train) [222][3757/3757] lr: 4.5416e-03 eta: 10:25:58 time: 0.2694 data_time: 0.0161 memory: 6332 grad_norm: 6.4115 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7826 loss: 1.7826 2022/08/19 16:14:53 - mmengine - INFO - Epoch(train) [223][100/3757] lr: 4.2895e-03 eta: 10:25:23 time: 0.3053 data_time: 0.0272 memory: 6332 grad_norm: 6.2496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7514 loss: 1.7514 2022/08/19 16:15:22 - mmengine - INFO - Epoch(train) [223][200/3757] lr: 4.2895e-03 eta: 10:24:53 time: 0.2977 data_time: 0.0167 memory: 6332 grad_norm: 6.2908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8848 loss: 1.8848 2022/08/19 16:15:52 - mmengine - INFO - Epoch(train) [223][300/3757] lr: 4.2895e-03 eta: 10:24:23 time: 0.2883 data_time: 0.0164 memory: 6332 grad_norm: 6.2419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8528 loss: 1.8528 2022/08/19 16:16:21 - mmengine - INFO - Epoch(train) [223][400/3757] lr: 4.2895e-03 eta: 10:23:54 time: 0.2873 data_time: 0.0169 memory: 6332 grad_norm: 6.2931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/08/19 16:16:50 - mmengine - INFO - Epoch(train) [223][500/3757] lr: 4.2895e-03 eta: 10:23:24 time: 0.2886 data_time: 0.0203 memory: 6332 grad_norm: 6.2422 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6488 loss: 1.6488 2022/08/19 16:17:19 - mmengine - INFO - Epoch(train) [223][600/3757] lr: 4.2895e-03 eta: 10:22:55 time: 0.2905 data_time: 0.0169 memory: 6332 grad_norm: 6.0552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5240 loss: 1.5240 2022/08/19 16:17:50 - mmengine - INFO - Epoch(train) [223][700/3757] lr: 4.2895e-03 eta: 10:22:25 time: 0.2912 data_time: 0.0171 memory: 6332 grad_norm: 6.2582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9088 loss: 1.9088 2022/08/19 16:18:20 - mmengine - INFO - Epoch(train) [223][800/3757] lr: 4.2895e-03 eta: 10:21:57 time: 0.2879 data_time: 0.0165 memory: 6332 grad_norm: 6.1337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/08/19 16:18:51 - mmengine - INFO - Epoch(train) [223][900/3757] lr: 4.2895e-03 eta: 10:21:28 time: 0.2943 data_time: 0.0176 memory: 6332 grad_norm: 6.2131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1622 loss: 2.1622 2022/08/19 16:19:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:19:22 - mmengine - INFO - Epoch(train) [223][1000/3757] lr: 4.2895e-03 eta: 10:20:59 time: 0.3110 data_time: 0.0182 memory: 6332 grad_norm: 6.3533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/08/19 16:19:51 - mmengine - INFO - Epoch(train) [223][1100/3757] lr: 4.2895e-03 eta: 10:20:30 time: 0.2877 data_time: 0.0188 memory: 6332 grad_norm: 6.6765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8932 loss: 1.8932 2022/08/19 16:20:20 - mmengine - INFO - Epoch(train) [223][1200/3757] lr: 4.2895e-03 eta: 10:20:00 time: 0.2894 data_time: 0.0184 memory: 6332 grad_norm: 6.2838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4633 loss: 1.4633 2022/08/19 16:20:50 - mmengine - INFO - Epoch(train) [223][1300/3757] lr: 4.2895e-03 eta: 10:19:30 time: 0.2885 data_time: 0.0170 memory: 6332 grad_norm: 6.3341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/08/19 16:21:19 - mmengine - INFO - Epoch(train) [223][1400/3757] lr: 4.2895e-03 eta: 10:19:01 time: 0.2880 data_time: 0.0173 memory: 6332 grad_norm: 6.5034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5024 loss: 1.5024 2022/08/19 16:21:48 - mmengine - INFO - Epoch(train) [223][1500/3757] lr: 4.2895e-03 eta: 10:18:31 time: 0.2865 data_time: 0.0168 memory: 6332 grad_norm: 6.0452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7238 loss: 1.7238 2022/08/19 16:22:18 - mmengine - INFO - Epoch(train) [223][1600/3757] lr: 4.2895e-03 eta: 10:18:02 time: 0.2908 data_time: 0.0175 memory: 6332 grad_norm: 6.5890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7748 loss: 1.7748 2022/08/19 16:22:47 - mmengine - INFO - Epoch(train) [223][1700/3757] lr: 4.2895e-03 eta: 10:17:32 time: 0.2889 data_time: 0.0188 memory: 6332 grad_norm: 6.2790 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/08/19 16:23:16 - mmengine - INFO - Epoch(train) [223][1800/3757] lr: 4.2895e-03 eta: 10:17:03 time: 0.2901 data_time: 0.0175 memory: 6332 grad_norm: 6.3100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9690 loss: 1.9690 2022/08/19 16:23:45 - mmengine - INFO - Epoch(train) [223][1900/3757] lr: 4.2895e-03 eta: 10:16:33 time: 0.2917 data_time: 0.0179 memory: 6332 grad_norm: 6.3993 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1881 loss: 2.1881 2022/08/19 16:23:59 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:24:15 - mmengine - INFO - Epoch(train) [223][2000/3757] lr: 4.2895e-03 eta: 10:16:03 time: 0.2903 data_time: 0.0171 memory: 6332 grad_norm: 6.2441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7576 loss: 1.7576 2022/08/19 16:24:44 - mmengine - INFO - Epoch(train) [223][2100/3757] lr: 4.2895e-03 eta: 10:15:34 time: 0.2918 data_time: 0.0177 memory: 6332 grad_norm: 6.1634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8546 loss: 1.8546 2022/08/19 16:25:13 - mmengine - INFO - Epoch(train) [223][2200/3757] lr: 4.2895e-03 eta: 10:15:04 time: 0.2884 data_time: 0.0178 memory: 6332 grad_norm: 6.2285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8995 loss: 1.8995 2022/08/19 16:25:43 - mmengine - INFO - Epoch(train) [223][2300/3757] lr: 4.2895e-03 eta: 10:14:35 time: 0.2901 data_time: 0.0170 memory: 6332 grad_norm: 6.1651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/08/19 16:26:12 - mmengine - INFO - Epoch(train) [223][2400/3757] lr: 4.2895e-03 eta: 10:14:05 time: 0.2884 data_time: 0.0178 memory: 6332 grad_norm: 6.3296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8591 loss: 1.8591 2022/08/19 16:26:41 - mmengine - INFO - Epoch(train) [223][2500/3757] lr: 4.2895e-03 eta: 10:13:35 time: 0.2889 data_time: 0.0174 memory: 6332 grad_norm: 6.4952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8083 loss: 1.8083 2022/08/19 16:27:10 - mmengine - INFO - Epoch(train) [223][2600/3757] lr: 4.2895e-03 eta: 10:13:06 time: 0.2868 data_time: 0.0162 memory: 6332 grad_norm: 6.2202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8235 loss: 1.8235 2022/08/19 16:27:40 - mmengine - INFO - Epoch(train) [223][2700/3757] lr: 4.2895e-03 eta: 10:12:36 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 6.2265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7872 loss: 1.7872 2022/08/19 16:28:09 - mmengine - INFO - Epoch(train) [223][2800/3757] lr: 4.2895e-03 eta: 10:12:07 time: 0.2885 data_time: 0.0167 memory: 6332 grad_norm: 6.1915 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2049 loss: 2.2049 2022/08/19 16:28:38 - mmengine - INFO - Epoch(train) [223][2900/3757] lr: 4.2895e-03 eta: 10:11:37 time: 0.2880 data_time: 0.0164 memory: 6332 grad_norm: 6.4512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8510 loss: 1.8510 2022/08/19 16:28:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:29:07 - mmengine - INFO - Epoch(train) [223][3000/3757] lr: 4.2895e-03 eta: 10:11:07 time: 0.2879 data_time: 0.0174 memory: 6332 grad_norm: 6.3907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/08/19 16:29:37 - mmengine - INFO - Epoch(train) [223][3100/3757] lr: 4.2895e-03 eta: 10:10:38 time: 0.2917 data_time: 0.0190 memory: 6332 grad_norm: 6.1691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/08/19 16:30:06 - mmengine - INFO - Epoch(train) [223][3200/3757] lr: 4.2895e-03 eta: 10:10:08 time: 0.2923 data_time: 0.0186 memory: 6332 grad_norm: 6.5150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7893 loss: 1.7893 2022/08/19 16:30:35 - mmengine - INFO - Epoch(train) [223][3300/3757] lr: 4.2895e-03 eta: 10:09:39 time: 0.2903 data_time: 0.0174 memory: 6332 grad_norm: 6.1357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7923 loss: 1.7923 2022/08/19 16:31:05 - mmengine - INFO - Epoch(train) [223][3400/3757] lr: 4.2895e-03 eta: 10:09:09 time: 0.2952 data_time: 0.0185 memory: 6332 grad_norm: 6.3855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5660 loss: 1.5660 2022/08/19 16:31:34 - mmengine - INFO - Epoch(train) [223][3500/3757] lr: 4.2895e-03 eta: 10:08:39 time: 0.2901 data_time: 0.0170 memory: 6332 grad_norm: 6.5718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0337 loss: 2.0337 2022/08/19 16:32:03 - mmengine - INFO - Epoch(train) [223][3600/3757] lr: 4.2895e-03 eta: 10:08:10 time: 0.2892 data_time: 0.0180 memory: 6332 grad_norm: 6.1676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/19 16:32:32 - mmengine - INFO - Epoch(train) [223][3700/3757] lr: 4.2895e-03 eta: 10:07:40 time: 0.2888 data_time: 0.0173 memory: 6332 grad_norm: 6.1058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9006 loss: 1.9006 2022/08/19 16:32:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:32:49 - mmengine - INFO - Epoch(train) [223][3757/3757] lr: 4.2895e-03 eta: 10:07:28 time: 0.2710 data_time: 0.0158 memory: 6332 grad_norm: 6.3012 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6926 loss: 1.6926 2022/08/19 16:33:20 - mmengine - INFO - Epoch(train) [224][100/3757] lr: 4.0443e-03 eta: 10:06:52 time: 0.2882 data_time: 0.0168 memory: 6332 grad_norm: 6.3512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9949 loss: 1.9949 2022/08/19 16:33:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:33:49 - mmengine - INFO - Epoch(train) [224][200/3757] lr: 4.0443e-03 eta: 10:06:22 time: 0.2880 data_time: 0.0167 memory: 6332 grad_norm: 6.5492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9093 loss: 1.9093 2022/08/19 16:34:18 - mmengine - INFO - Epoch(train) [224][300/3757] lr: 4.0443e-03 eta: 10:05:53 time: 0.2880 data_time: 0.0165 memory: 6332 grad_norm: 6.4153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/08/19 16:34:47 - mmengine - INFO - Epoch(train) [224][400/3757] lr: 4.0443e-03 eta: 10:05:23 time: 0.2908 data_time: 0.0175 memory: 6332 grad_norm: 6.3213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7907 loss: 1.7907 2022/08/19 16:35:17 - mmengine - INFO - Epoch(train) [224][500/3757] lr: 4.0443e-03 eta: 10:04:54 time: 0.2898 data_time: 0.0175 memory: 6332 grad_norm: 6.3527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7720 loss: 1.7720 2022/08/19 16:35:46 - mmengine - INFO - Epoch(train) [224][600/3757] lr: 4.0443e-03 eta: 10:04:24 time: 0.2931 data_time: 0.0179 memory: 6332 grad_norm: 6.4117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/08/19 16:36:15 - mmengine - INFO - Epoch(train) [224][700/3757] lr: 4.0443e-03 eta: 10:03:54 time: 0.2915 data_time: 0.0184 memory: 6332 grad_norm: 6.3615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8386 loss: 1.8386 2022/08/19 16:36:45 - mmengine - INFO - Epoch(train) [224][800/3757] lr: 4.0443e-03 eta: 10:03:25 time: 0.2900 data_time: 0.0173 memory: 6332 grad_norm: 6.3668 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6886 loss: 1.6886 2022/08/19 16:37:14 - mmengine - INFO - Epoch(train) [224][900/3757] lr: 4.0443e-03 eta: 10:02:55 time: 0.2876 data_time: 0.0162 memory: 6332 grad_norm: 6.2373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7656 loss: 1.7656 2022/08/19 16:37:43 - mmengine - INFO - Epoch(train) [224][1000/3757] lr: 4.0443e-03 eta: 10:02:26 time: 0.2898 data_time: 0.0172 memory: 6332 grad_norm: 6.5458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9641 loss: 1.9641 2022/08/19 16:38:13 - mmengine - INFO - Epoch(train) [224][1100/3757] lr: 4.0443e-03 eta: 10:01:56 time: 0.2904 data_time: 0.0173 memory: 6332 grad_norm: 6.3396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8362 loss: 1.8362 2022/08/19 16:38:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:38:42 - mmengine - INFO - Epoch(train) [224][1200/3757] lr: 4.0443e-03 eta: 10:01:27 time: 0.2879 data_time: 0.0166 memory: 6332 grad_norm: 6.6004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8279 loss: 1.8279 2022/08/19 16:39:11 - mmengine - INFO - Epoch(train) [224][1300/3757] lr: 4.0443e-03 eta: 10:00:57 time: 0.2881 data_time: 0.0162 memory: 6332 grad_norm: 6.4869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8782 loss: 1.8782 2022/08/19 16:39:41 - mmengine - INFO - Epoch(train) [224][1400/3757] lr: 4.0443e-03 eta: 10:00:28 time: 0.2888 data_time: 0.0179 memory: 6332 grad_norm: 6.4473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8172 loss: 1.8172 2022/08/19 16:40:10 - mmengine - INFO - Epoch(train) [224][1500/3757] lr: 4.0443e-03 eta: 9:59:58 time: 0.2880 data_time: 0.0175 memory: 6332 grad_norm: 6.2076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8587 loss: 1.8587 2022/08/19 16:40:39 - mmengine - INFO - Epoch(train) [224][1600/3757] lr: 4.0443e-03 eta: 9:59:29 time: 0.2883 data_time: 0.0178 memory: 6332 grad_norm: 6.7232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7933 loss: 1.7933 2022/08/19 16:41:09 - mmengine - INFO - Epoch(train) [224][1700/3757] lr: 4.0443e-03 eta: 9:58:59 time: 0.2943 data_time: 0.0177 memory: 6332 grad_norm: 6.2777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6636 loss: 1.6636 2022/08/19 16:41:38 - mmengine - INFO - Epoch(train) [224][1800/3757] lr: 4.0443e-03 eta: 9:58:29 time: 0.2934 data_time: 0.0180 memory: 6332 grad_norm: 6.4621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7641 loss: 1.7641 2022/08/19 16:42:07 - mmengine - INFO - Epoch(train) [224][1900/3757] lr: 4.0443e-03 eta: 9:58:00 time: 0.2898 data_time: 0.0173 memory: 6332 grad_norm: 6.1555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/08/19 16:42:37 - mmengine - INFO - Epoch(train) [224][2000/3757] lr: 4.0443e-03 eta: 9:57:30 time: 0.2903 data_time: 0.0166 memory: 6332 grad_norm: 6.4354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7500 loss: 1.7500 2022/08/19 16:43:06 - mmengine - INFO - Epoch(train) [224][2100/3757] lr: 4.0443e-03 eta: 9:57:01 time: 0.2916 data_time: 0.0182 memory: 6332 grad_norm: 6.4321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9062 loss: 1.9062 2022/08/19 16:43:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:43:35 - mmengine - INFO - Epoch(train) [224][2200/3757] lr: 4.0443e-03 eta: 9:56:31 time: 0.2893 data_time: 0.0177 memory: 6332 grad_norm: 6.3302 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9328 loss: 1.9328 2022/08/19 16:44:04 - mmengine - INFO - Epoch(train) [224][2300/3757] lr: 4.0443e-03 eta: 9:56:02 time: 0.2919 data_time: 0.0186 memory: 6332 grad_norm: 6.4007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/08/19 16:44:34 - mmengine - INFO - Epoch(train) [224][2400/3757] lr: 4.0443e-03 eta: 9:55:32 time: 0.2893 data_time: 0.0189 memory: 6332 grad_norm: 6.5914 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5544 loss: 1.5544 2022/08/19 16:45:03 - mmengine - INFO - Epoch(train) [224][2500/3757] lr: 4.0443e-03 eta: 9:55:02 time: 0.2875 data_time: 0.0165 memory: 6332 grad_norm: 6.7172 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1218 loss: 2.1218 2022/08/19 16:45:32 - mmengine - INFO - Epoch(train) [224][2600/3757] lr: 4.0443e-03 eta: 9:54:33 time: 0.2874 data_time: 0.0175 memory: 6332 grad_norm: 6.3367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8339 loss: 1.8339 2022/08/19 16:46:01 - mmengine - INFO - Epoch(train) [224][2700/3757] lr: 4.0443e-03 eta: 9:54:03 time: 0.2883 data_time: 0.0167 memory: 6332 grad_norm: 6.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/08/19 16:46:30 - mmengine - INFO - Epoch(train) [224][2800/3757] lr: 4.0443e-03 eta: 9:53:33 time: 0.2888 data_time: 0.0171 memory: 6332 grad_norm: 6.1413 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7017 loss: 1.7017 2022/08/19 16:47:00 - mmengine - INFO - Epoch(train) [224][2900/3757] lr: 4.0443e-03 eta: 9:53:04 time: 0.2871 data_time: 0.0173 memory: 6332 grad_norm: 6.4078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/08/19 16:47:29 - mmengine - INFO - Epoch(train) [224][3000/3757] lr: 4.0443e-03 eta: 9:52:34 time: 0.2888 data_time: 0.0177 memory: 6332 grad_norm: 6.3018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0017 loss: 2.0017 2022/08/19 16:47:58 - mmengine - INFO - Epoch(train) [224][3100/3757] lr: 4.0443e-03 eta: 9:52:05 time: 0.2898 data_time: 0.0183 memory: 6332 grad_norm: 6.1893 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8494 loss: 1.8494 2022/08/19 16:48:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:48:28 - mmengine - INFO - Epoch(train) [224][3200/3757] lr: 4.0443e-03 eta: 9:51:35 time: 0.2906 data_time: 0.0164 memory: 6332 grad_norm: 6.0638 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7138 loss: 1.7138 2022/08/19 16:48:57 - mmengine - INFO - Epoch(train) [224][3300/3757] lr: 4.0443e-03 eta: 9:51:06 time: 0.2928 data_time: 0.0175 memory: 6332 grad_norm: 6.4176 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8851 loss: 1.8851 2022/08/19 16:49:26 - mmengine - INFO - Epoch(train) [224][3400/3757] lr: 4.0443e-03 eta: 9:50:36 time: 0.2916 data_time: 0.0169 memory: 6332 grad_norm: 6.3091 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7691 loss: 1.7691 2022/08/19 16:49:56 - mmengine - INFO - Epoch(train) [224][3500/3757] lr: 4.0443e-03 eta: 9:50:07 time: 0.2937 data_time: 0.0180 memory: 6332 grad_norm: 6.2373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5107 loss: 1.5107 2022/08/19 16:50:25 - mmengine - INFO - Epoch(train) [224][3600/3757] lr: 4.0443e-03 eta: 9:49:37 time: 0.2905 data_time: 0.0178 memory: 6332 grad_norm: 6.4005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7198 loss: 1.7198 2022/08/19 16:50:54 - mmengine - INFO - Epoch(train) [224][3700/3757] lr: 4.0443e-03 eta: 9:49:07 time: 0.2895 data_time: 0.0165 memory: 6332 grad_norm: 6.2710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8102 loss: 1.8102 2022/08/19 16:51:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:51:10 - mmengine - INFO - Epoch(train) [224][3757/3757] lr: 4.0443e-03 eta: 9:48:56 time: 0.2715 data_time: 0.0152 memory: 6332 grad_norm: 6.6075 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8258 loss: 1.8258 2022/08/19 16:51:10 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/19 16:51:46 - mmengine - INFO - Epoch(train) [225][100/3757] lr: 3.8060e-03 eta: 9:48:19 time: 0.2893 data_time: 0.0189 memory: 6332 grad_norm: 6.4267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5758 loss: 1.5758 2022/08/19 16:52:15 - mmengine - INFO - Epoch(train) [225][200/3757] lr: 3.8060e-03 eta: 9:47:49 time: 0.2934 data_time: 0.0180 memory: 6332 grad_norm: 6.2863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5958 loss: 1.5958 2022/08/19 16:52:44 - mmengine - INFO - Epoch(train) [225][300/3757] lr: 3.8060e-03 eta: 9:47:20 time: 0.2947 data_time: 0.0185 memory: 6332 grad_norm: 6.2868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4633 loss: 1.4633 2022/08/19 16:53:13 - mmengine - INFO - Epoch(train) [225][400/3757] lr: 3.8060e-03 eta: 9:46:50 time: 0.2877 data_time: 0.0174 memory: 6332 grad_norm: 6.2437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6161 loss: 1.6161 2022/08/19 16:53:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:53:43 - mmengine - INFO - Epoch(train) [225][500/3757] lr: 3.8060e-03 eta: 9:46:21 time: 0.2896 data_time: 0.0158 memory: 6332 grad_norm: 6.5325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5830 loss: 1.5830 2022/08/19 16:54:12 - mmengine - INFO - Epoch(train) [225][600/3757] lr: 3.8060e-03 eta: 9:45:51 time: 0.2889 data_time: 0.0167 memory: 6332 grad_norm: 6.2581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8351 loss: 1.8351 2022/08/19 16:54:41 - mmengine - INFO - Epoch(train) [225][700/3757] lr: 3.8060e-03 eta: 9:45:22 time: 0.2888 data_time: 0.0165 memory: 6332 grad_norm: 6.2962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5461 loss: 1.5461 2022/08/19 16:55:11 - mmengine - INFO - Epoch(train) [225][800/3757] lr: 3.8060e-03 eta: 9:44:52 time: 0.2878 data_time: 0.0175 memory: 6332 grad_norm: 6.3439 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6263 loss: 1.6263 2022/08/19 16:55:40 - mmengine - INFO - Epoch(train) [225][900/3757] lr: 3.8060e-03 eta: 9:44:22 time: 0.2872 data_time: 0.0157 memory: 6332 grad_norm: 6.4111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7438 loss: 1.7438 2022/08/19 16:56:09 - mmengine - INFO - Epoch(train) [225][1000/3757] lr: 3.8060e-03 eta: 9:43:53 time: 0.2924 data_time: 0.0185 memory: 6332 grad_norm: 6.4319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9277 loss: 1.9277 2022/08/19 16:56:39 - mmengine - INFO - Epoch(train) [225][1100/3757] lr: 3.8060e-03 eta: 9:43:23 time: 0.2892 data_time: 0.0173 memory: 6332 grad_norm: 6.4270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/08/19 16:57:08 - mmengine - INFO - Epoch(train) [225][1200/3757] lr: 3.8060e-03 eta: 9:42:54 time: 0.2947 data_time: 0.0172 memory: 6332 grad_norm: 6.4684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7726 loss: 1.7726 2022/08/19 16:57:37 - mmengine - INFO - Epoch(train) [225][1300/3757] lr: 3.8060e-03 eta: 9:42:24 time: 0.2964 data_time: 0.0203 memory: 6332 grad_norm: 6.7434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/08/19 16:58:07 - mmengine - INFO - Epoch(train) [225][1400/3757] lr: 3.8060e-03 eta: 9:41:55 time: 0.2895 data_time: 0.0173 memory: 6332 grad_norm: 6.6418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/08/19 16:58:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 16:58:36 - mmengine - INFO - Epoch(train) [225][1500/3757] lr: 3.8060e-03 eta: 9:41:25 time: 0.2924 data_time: 0.0168 memory: 6332 grad_norm: 6.8829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6974 loss: 1.6974 2022/08/19 16:59:05 - mmengine - INFO - Epoch(train) [225][1600/3757] lr: 3.8060e-03 eta: 9:40:56 time: 0.2884 data_time: 0.0167 memory: 6332 grad_norm: 6.3548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5890 loss: 1.5890 2022/08/19 16:59:34 - mmengine - INFO - Epoch(train) [225][1700/3757] lr: 3.8060e-03 eta: 9:40:26 time: 0.2887 data_time: 0.0168 memory: 6332 grad_norm: 6.3456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0234 loss: 2.0234 2022/08/19 17:00:04 - mmengine - INFO - Epoch(train) [225][1800/3757] lr: 3.8060e-03 eta: 9:39:56 time: 0.2890 data_time: 0.0175 memory: 6332 grad_norm: 6.4593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8888 loss: 1.8888 2022/08/19 17:00:33 - mmengine - INFO - Epoch(train) [225][1900/3757] lr: 3.8060e-03 eta: 9:39:27 time: 0.2876 data_time: 0.0173 memory: 6332 grad_norm: 6.4540 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0190 loss: 2.0190 2022/08/19 17:01:02 - mmengine - INFO - Epoch(train) [225][2000/3757] lr: 3.8060e-03 eta: 9:38:57 time: 0.2889 data_time: 0.0187 memory: 6332 grad_norm: 6.3162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7945 loss: 1.7945 2022/08/19 17:01:32 - mmengine - INFO - Epoch(train) [225][2100/3757] lr: 3.8060e-03 eta: 9:38:28 time: 0.2871 data_time: 0.0170 memory: 6332 grad_norm: 6.4805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/19 17:02:01 - mmengine - INFO - Epoch(train) [225][2200/3757] lr: 3.8060e-03 eta: 9:37:58 time: 0.2875 data_time: 0.0173 memory: 6332 grad_norm: 6.3216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/08/19 17:02:31 - mmengine - INFO - Epoch(train) [225][2300/3757] lr: 3.8060e-03 eta: 9:37:29 time: 0.2874 data_time: 0.0176 memory: 6332 grad_norm: 6.5870 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8178 loss: 1.8178 2022/08/19 17:03:00 - mmengine - INFO - Epoch(train) [225][2400/3757] lr: 3.8060e-03 eta: 9:36:59 time: 0.2916 data_time: 0.0190 memory: 6332 grad_norm: 6.4786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/08/19 17:03:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:03:29 - mmengine - INFO - Epoch(train) [225][2500/3757] lr: 3.8060e-03 eta: 9:36:30 time: 0.2924 data_time: 0.0179 memory: 6332 grad_norm: 6.4513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8523 loss: 1.8523 2022/08/19 17:03:59 - mmengine - INFO - Epoch(train) [225][2600/3757] lr: 3.8060e-03 eta: 9:36:00 time: 0.2970 data_time: 0.0184 memory: 6332 grad_norm: 6.5372 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7838 loss: 1.7838 2022/08/19 17:04:28 - mmengine - INFO - Epoch(train) [225][2700/3757] lr: 3.8060e-03 eta: 9:35:31 time: 0.2910 data_time: 0.0164 memory: 6332 grad_norm: 6.4272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7112 loss: 1.7112 2022/08/19 17:04:58 - mmengine - INFO - Epoch(train) [225][2800/3757] lr: 3.8060e-03 eta: 9:35:02 time: 0.2919 data_time: 0.0173 memory: 6332 grad_norm: 6.5604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/08/19 17:05:27 - mmengine - INFO - Epoch(train) [225][2900/3757] lr: 3.8060e-03 eta: 9:34:32 time: 0.2879 data_time: 0.0179 memory: 6332 grad_norm: 6.4457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7509 loss: 1.7509 2022/08/19 17:05:56 - mmengine - INFO - Epoch(train) [225][3000/3757] lr: 3.8060e-03 eta: 9:34:03 time: 0.2933 data_time: 0.0187 memory: 6332 grad_norm: 6.4251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/08/19 17:06:26 - mmengine - INFO - Epoch(train) [225][3100/3757] lr: 3.8060e-03 eta: 9:33:33 time: 0.2893 data_time: 0.0179 memory: 6332 grad_norm: 6.8080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9707 loss: 1.9707 2022/08/19 17:06:55 - mmengine - INFO - Epoch(train) [225][3200/3757] lr: 3.8060e-03 eta: 9:33:03 time: 0.2890 data_time: 0.0178 memory: 6332 grad_norm: 6.5048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7789 loss: 1.7789 2022/08/19 17:07:24 - mmengine - INFO - Epoch(train) [225][3300/3757] lr: 3.8060e-03 eta: 9:32:34 time: 0.2885 data_time: 0.0180 memory: 6332 grad_norm: 6.5585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/08/19 17:07:54 - mmengine - INFO - Epoch(train) [225][3400/3757] lr: 3.8060e-03 eta: 9:32:04 time: 0.2886 data_time: 0.0169 memory: 6332 grad_norm: 6.6631 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0148 loss: 2.0148 2022/08/19 17:08:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:08:23 - mmengine - INFO - Epoch(train) [225][3500/3757] lr: 3.8060e-03 eta: 9:31:35 time: 0.2894 data_time: 0.0171 memory: 6332 grad_norm: 6.4210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8009 loss: 1.8009 2022/08/19 17:08:52 - mmengine - INFO - Epoch(train) [225][3600/3757] lr: 3.8060e-03 eta: 9:31:05 time: 0.2897 data_time: 0.0163 memory: 6332 grad_norm: 6.5260 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0447 loss: 2.0447 2022/08/19 17:09:22 - mmengine - INFO - Epoch(train) [225][3700/3757] lr: 3.8060e-03 eta: 9:30:36 time: 0.2898 data_time: 0.0179 memory: 6332 grad_norm: 6.6013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8928 loss: 1.8928 2022/08/19 17:09:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:09:39 - mmengine - INFO - Epoch(train) [225][3757/3757] lr: 3.8060e-03 eta: 9:30:24 time: 0.2832 data_time: 0.0178 memory: 6332 grad_norm: 6.6459 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.9900 loss: 1.9900 2022/08/19 17:10:01 - mmengine - INFO - Epoch(val) [225][100/310] eta: 0:00:52 time: 0.2486 data_time: 0.1518 memory: 1147 2022/08/19 17:10:22 - mmengine - INFO - Epoch(val) [225][200/310] eta: 0:00:20 time: 0.1886 data_time: 0.0926 memory: 1147 2022/08/19 17:10:43 - mmengine - INFO - Epoch(val) [225][300/310] eta: 0:00:02 time: 0.2089 data_time: 0.1166 memory: 1147 2022/08/19 17:10:46 - mmengine - INFO - Epoch(val) [225][310/310] acc/top1: 0.6307 acc/top5: 0.8466 acc/mean1: 0.6307 2022/08/19 17:10:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_221.pth is removed 2022/08/19 17:10:49 - mmengine - INFO - The best checkpoint with 0.6307 acc/top1 at 226 epoch is saved to best_acc/top1_epoch_226.pth. 2022/08/19 17:11:20 - mmengine - INFO - Epoch(train) [226][100/3757] lr: 3.5747e-03 eta: 9:29:48 time: 0.2920 data_time: 0.0200 memory: 6332 grad_norm: 6.6378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6463 loss: 1.6463 2022/08/19 17:11:49 - mmengine - INFO - Epoch(train) [226][200/3757] lr: 3.5747e-03 eta: 9:29:18 time: 0.3050 data_time: 0.0179 memory: 6332 grad_norm: 6.5891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6014 loss: 1.6014 2022/08/19 17:12:19 - mmengine - INFO - Epoch(train) [226][300/3757] lr: 3.5747e-03 eta: 9:28:49 time: 0.2895 data_time: 0.0171 memory: 6332 grad_norm: 6.7364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9326 loss: 1.9326 2022/08/19 17:12:48 - mmengine - INFO - Epoch(train) [226][400/3757] lr: 3.5747e-03 eta: 9:28:19 time: 0.2956 data_time: 0.0189 memory: 6332 grad_norm: 6.7725 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/08/19 17:13:18 - mmengine - INFO - Epoch(train) [226][500/3757] lr: 3.5747e-03 eta: 9:27:50 time: 0.2898 data_time: 0.0172 memory: 6332 grad_norm: 6.2983 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6322 loss: 1.6322 2022/08/19 17:13:47 - mmengine - INFO - Epoch(train) [226][600/3757] lr: 3.5747e-03 eta: 9:27:21 time: 0.2971 data_time: 0.0187 memory: 6332 grad_norm: 6.5706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8080 loss: 1.8080 2022/08/19 17:14:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:14:16 - mmengine - INFO - Epoch(train) [226][700/3757] lr: 3.5747e-03 eta: 9:26:51 time: 0.2889 data_time: 0.0166 memory: 6332 grad_norm: 6.5273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4838 loss: 1.4838 2022/08/19 17:14:46 - mmengine - INFO - Epoch(train) [226][800/3757] lr: 3.5747e-03 eta: 9:26:21 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 6.3872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7102 loss: 1.7102 2022/08/19 17:15:15 - mmengine - INFO - Epoch(train) [226][900/3757] lr: 3.5747e-03 eta: 9:25:52 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 6.5042 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0651 loss: 2.0651 2022/08/19 17:15:44 - mmengine - INFO - Epoch(train) [226][1000/3757] lr: 3.5747e-03 eta: 9:25:22 time: 0.2881 data_time: 0.0174 memory: 6332 grad_norm: 6.4777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6839 loss: 1.6839 2022/08/19 17:16:14 - mmengine - INFO - Epoch(train) [226][1100/3757] lr: 3.5747e-03 eta: 9:24:53 time: 0.2885 data_time: 0.0172 memory: 6332 grad_norm: 6.5774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8546 loss: 1.8546 2022/08/19 17:16:43 - mmengine - INFO - Epoch(train) [226][1200/3757] lr: 3.5747e-03 eta: 9:24:23 time: 0.2896 data_time: 0.0171 memory: 6332 grad_norm: 6.6390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5744 loss: 1.5744 2022/08/19 17:17:12 - mmengine - INFO - Epoch(train) [226][1300/3757] lr: 3.5747e-03 eta: 9:23:54 time: 0.2883 data_time: 0.0178 memory: 6332 grad_norm: 6.8701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/08/19 17:17:42 - mmengine - INFO - Epoch(train) [226][1400/3757] lr: 3.5747e-03 eta: 9:23:24 time: 0.2882 data_time: 0.0176 memory: 6332 grad_norm: 6.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4533 loss: 1.4533 2022/08/19 17:18:11 - mmengine - INFO - Epoch(train) [226][1500/3757] lr: 3.5747e-03 eta: 9:22:55 time: 0.2905 data_time: 0.0181 memory: 6332 grad_norm: 6.7616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8159 loss: 1.8159 2022/08/19 17:18:40 - mmengine - INFO - Epoch(train) [226][1600/3757] lr: 3.5747e-03 eta: 9:22:25 time: 0.2913 data_time: 0.0174 memory: 6332 grad_norm: 6.5913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9302 loss: 1.9302 2022/08/19 17:19:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:19:10 - mmengine - INFO - Epoch(train) [226][1700/3757] lr: 3.5747e-03 eta: 9:21:56 time: 0.2930 data_time: 0.0169 memory: 6332 grad_norm: 6.6435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9019 loss: 1.9019 2022/08/19 17:19:39 - mmengine - INFO - Epoch(train) [226][1800/3757] lr: 3.5747e-03 eta: 9:21:26 time: 0.2902 data_time: 0.0186 memory: 6332 grad_norm: 6.5502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/08/19 17:20:09 - mmengine - INFO - Epoch(train) [226][1900/3757] lr: 3.5747e-03 eta: 9:20:57 time: 0.3032 data_time: 0.0178 memory: 6332 grad_norm: 6.5818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6503 loss: 1.6503 2022/08/19 17:20:38 - mmengine - INFO - Epoch(train) [226][2000/3757] lr: 3.5747e-03 eta: 9:20:27 time: 0.2876 data_time: 0.0168 memory: 6332 grad_norm: 6.6699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/08/19 17:21:07 - mmengine - INFO - Epoch(train) [226][2100/3757] lr: 3.5747e-03 eta: 9:19:58 time: 0.2895 data_time: 0.0187 memory: 6332 grad_norm: 6.5629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6932 loss: 1.6932 2022/08/19 17:21:36 - mmengine - INFO - Epoch(train) [226][2200/3757] lr: 3.5747e-03 eta: 9:19:28 time: 0.2870 data_time: 0.0173 memory: 6332 grad_norm: 6.7721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8664 loss: 1.8664 2022/08/19 17:22:06 - mmengine - INFO - Epoch(train) [226][2300/3757] lr: 3.5747e-03 eta: 9:18:59 time: 0.2893 data_time: 0.0182 memory: 6332 grad_norm: 6.4862 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9250 loss: 1.9250 2022/08/19 17:22:36 - mmengine - INFO - Epoch(train) [226][2400/3757] lr: 3.5747e-03 eta: 9:18:29 time: 0.2902 data_time: 0.0170 memory: 6332 grad_norm: 6.6409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6309 loss: 1.6309 2022/08/19 17:23:05 - mmengine - INFO - Epoch(train) [226][2500/3757] lr: 3.5747e-03 eta: 9:18:00 time: 0.2874 data_time: 0.0176 memory: 6332 grad_norm: 6.6379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8522 loss: 1.8522 2022/08/19 17:23:34 - mmengine - INFO - Epoch(train) [226][2600/3757] lr: 3.5747e-03 eta: 9:17:31 time: 0.2886 data_time: 0.0162 memory: 6332 grad_norm: 6.4523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9025 loss: 1.9025 2022/08/19 17:23:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:24:04 - mmengine - INFO - Epoch(train) [226][2700/3757] lr: 3.5747e-03 eta: 9:17:01 time: 0.2889 data_time: 0.0172 memory: 6332 grad_norm: 6.5465 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.5381 loss: 1.5381 2022/08/19 17:24:33 - mmengine - INFO - Epoch(train) [226][2800/3757] lr: 3.5747e-03 eta: 9:16:32 time: 0.2887 data_time: 0.0189 memory: 6332 grad_norm: 6.4438 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9977 loss: 1.9977 2022/08/19 17:25:03 - mmengine - INFO - Epoch(train) [226][2900/3757] lr: 3.5747e-03 eta: 9:16:02 time: 0.3078 data_time: 0.0161 memory: 6332 grad_norm: 6.4896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/08/19 17:25:32 - mmengine - INFO - Epoch(train) [226][3000/3757] lr: 3.5747e-03 eta: 9:15:33 time: 0.2931 data_time: 0.0191 memory: 6332 grad_norm: 6.5061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/08/19 17:26:01 - mmengine - INFO - Epoch(train) [226][3100/3757] lr: 3.5747e-03 eta: 9:15:03 time: 0.2891 data_time: 0.0168 memory: 6332 grad_norm: 6.4881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6318 loss: 1.6318 2022/08/19 17:26:30 - mmengine - INFO - Epoch(train) [226][3200/3757] lr: 3.5747e-03 eta: 9:14:33 time: 0.2882 data_time: 0.0176 memory: 6332 grad_norm: 6.7322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1016 loss: 2.1016 2022/08/19 17:27:00 - mmengine - INFO - Epoch(train) [226][3300/3757] lr: 3.5747e-03 eta: 9:14:04 time: 0.2959 data_time: 0.0187 memory: 6332 grad_norm: 6.5650 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9760 loss: 1.9760 2022/08/19 17:27:29 - mmengine - INFO - Epoch(train) [226][3400/3757] lr: 3.5747e-03 eta: 9:13:34 time: 0.2871 data_time: 0.0163 memory: 6332 grad_norm: 6.7081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8362 loss: 1.8362 2022/08/19 17:27:59 - mmengine - INFO - Epoch(train) [226][3500/3757] lr: 3.5747e-03 eta: 9:13:05 time: 0.3029 data_time: 0.0193 memory: 6332 grad_norm: 6.6096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6088 loss: 1.6088 2022/08/19 17:28:28 - mmengine - INFO - Epoch(train) [226][3600/3757] lr: 3.5747e-03 eta: 9:12:36 time: 0.2891 data_time: 0.0168 memory: 6332 grad_norm: 6.4316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0599 loss: 2.0599 2022/08/19 17:28:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:28:57 - mmengine - INFO - Epoch(train) [226][3700/3757] lr: 3.5747e-03 eta: 9:12:06 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 6.6131 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5551 loss: 1.5551 2022/08/19 17:29:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:29:14 - mmengine - INFO - Epoch(train) [226][3757/3757] lr: 3.5747e-03 eta: 9:11:54 time: 0.2723 data_time: 0.0160 memory: 6332 grad_norm: 6.6077 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9393 loss: 1.9393 2022/08/19 17:29:45 - mmengine - INFO - Epoch(train) [227][100/3757] lr: 3.3504e-03 eta: 9:11:18 time: 0.2874 data_time: 0.0173 memory: 6332 grad_norm: 6.7259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9311 loss: 1.9311 2022/08/19 17:30:15 - mmengine - INFO - Epoch(train) [227][200/3757] lr: 3.3504e-03 eta: 9:10:49 time: 0.2891 data_time: 0.0177 memory: 6332 grad_norm: 6.5991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/08/19 17:30:44 - mmengine - INFO - Epoch(train) [227][300/3757] lr: 3.3504e-03 eta: 9:10:20 time: 0.2885 data_time: 0.0181 memory: 6332 grad_norm: 6.3998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6480 loss: 1.6480 2022/08/19 17:31:14 - mmengine - INFO - Epoch(train) [227][400/3757] lr: 3.3504e-03 eta: 9:09:50 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 6.4138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8620 loss: 1.8620 2022/08/19 17:31:43 - mmengine - INFO - Epoch(train) [227][500/3757] lr: 3.3504e-03 eta: 9:09:21 time: 0.3127 data_time: 0.0177 memory: 6332 grad_norm: 6.6815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5213 loss: 1.5213 2022/08/19 17:32:13 - mmengine - INFO - Epoch(train) [227][600/3757] lr: 3.3504e-03 eta: 9:08:51 time: 0.2883 data_time: 0.0170 memory: 6332 grad_norm: 6.7883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8218 loss: 1.8218 2022/08/19 17:32:42 - mmengine - INFO - Epoch(train) [227][700/3757] lr: 3.3504e-03 eta: 9:08:22 time: 0.2941 data_time: 0.0185 memory: 6332 grad_norm: 6.5532 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6311 loss: 1.6311 2022/08/19 17:33:11 - mmengine - INFO - Epoch(train) [227][800/3757] lr: 3.3504e-03 eta: 9:07:52 time: 0.2884 data_time: 0.0171 memory: 6332 grad_norm: 6.7940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9164 loss: 1.9164 2022/08/19 17:33:41 - mmengine - INFO - Epoch(train) [227][900/3757] lr: 3.3504e-03 eta: 9:07:23 time: 0.3021 data_time: 0.0188 memory: 6332 grad_norm: 6.6167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/08/19 17:33:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:34:10 - mmengine - INFO - Epoch(train) [227][1000/3757] lr: 3.3504e-03 eta: 9:06:53 time: 0.2883 data_time: 0.0173 memory: 6332 grad_norm: 6.7080 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6144 loss: 1.6144 2022/08/19 17:34:40 - mmengine - INFO - Epoch(train) [227][1100/3757] lr: 3.3504e-03 eta: 9:06:24 time: 0.2934 data_time: 0.0182 memory: 6332 grad_norm: 6.4020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3145 loss: 1.3145 2022/08/19 17:35:09 - mmengine - INFO - Epoch(train) [227][1200/3757] lr: 3.3504e-03 eta: 9:05:54 time: 0.2891 data_time: 0.0184 memory: 6332 grad_norm: 6.6699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7358 loss: 1.7358 2022/08/19 17:35:38 - mmengine - INFO - Epoch(train) [227][1300/3757] lr: 3.3504e-03 eta: 9:05:25 time: 0.2941 data_time: 0.0176 memory: 6332 grad_norm: 6.7135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/08/19 17:36:08 - mmengine - INFO - Epoch(train) [227][1400/3757] lr: 3.3504e-03 eta: 9:04:55 time: 0.2882 data_time: 0.0163 memory: 6332 grad_norm: 6.5134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8737 loss: 1.8737 2022/08/19 17:36:37 - mmengine - INFO - Epoch(train) [227][1500/3757] lr: 3.3504e-03 eta: 9:04:26 time: 0.2891 data_time: 0.0178 memory: 6332 grad_norm: 6.5676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/08/19 17:37:07 - mmengine - INFO - Epoch(train) [227][1600/3757] lr: 3.3504e-03 eta: 9:03:57 time: 0.2885 data_time: 0.0170 memory: 6332 grad_norm: 6.7995 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8447 loss: 1.8447 2022/08/19 17:37:36 - mmengine - INFO - Epoch(train) [227][1700/3757] lr: 3.3504e-03 eta: 9:03:27 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 6.4121 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/08/19 17:38:06 - mmengine - INFO - Epoch(train) [227][1800/3757] lr: 3.3504e-03 eta: 9:02:58 time: 0.2888 data_time: 0.0179 memory: 6332 grad_norm: 6.3965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6980 loss: 1.6980 2022/08/19 17:38:35 - mmengine - INFO - Epoch(train) [227][1900/3757] lr: 3.3504e-03 eta: 9:02:28 time: 0.2874 data_time: 0.0167 memory: 6332 grad_norm: 6.7490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5511 loss: 1.5511 2022/08/19 17:38:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:39:05 - mmengine - INFO - Epoch(train) [227][2000/3757] lr: 3.3504e-03 eta: 9:01:59 time: 0.2867 data_time: 0.0171 memory: 6332 grad_norm: 6.5737 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4713 loss: 1.4713 2022/08/19 17:39:34 - mmengine - INFO - Epoch(train) [227][2100/3757] lr: 3.3504e-03 eta: 9:01:29 time: 0.2891 data_time: 0.0175 memory: 6332 grad_norm: 6.4622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6438 loss: 1.6438 2022/08/19 17:40:04 - mmengine - INFO - Epoch(train) [227][2200/3757] lr: 3.3504e-03 eta: 9:01:00 time: 0.2947 data_time: 0.0171 memory: 6332 grad_norm: 6.5998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/08/19 17:40:33 - mmengine - INFO - Epoch(train) [227][2300/3757] lr: 3.3504e-03 eta: 9:00:30 time: 0.2914 data_time: 0.0185 memory: 6332 grad_norm: 6.7406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9985 loss: 1.9985 2022/08/19 17:41:02 - mmengine - INFO - Epoch(train) [227][2400/3757] lr: 3.3504e-03 eta: 9:00:01 time: 0.2932 data_time: 0.0182 memory: 6332 grad_norm: 6.7383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8849 loss: 1.8849 2022/08/19 17:41:32 - mmengine - INFO - Epoch(train) [227][2500/3757] lr: 3.3504e-03 eta: 8:59:31 time: 0.2884 data_time: 0.0183 memory: 6332 grad_norm: 6.8456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6772 loss: 1.6772 2022/08/19 17:42:01 - mmengine - INFO - Epoch(train) [227][2600/3757] lr: 3.3504e-03 eta: 8:59:02 time: 0.3019 data_time: 0.0211 memory: 6332 grad_norm: 6.7437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8020 loss: 1.8020 2022/08/19 17:42:30 - mmengine - INFO - Epoch(train) [227][2700/3757] lr: 3.3504e-03 eta: 8:58:32 time: 0.2871 data_time: 0.0166 memory: 6332 grad_norm: 6.6495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5756 loss: 1.5756 2022/08/19 17:43:00 - mmengine - INFO - Epoch(train) [227][2800/3757] lr: 3.3504e-03 eta: 8:58:03 time: 0.2898 data_time: 0.0194 memory: 6332 grad_norm: 6.6121 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7097 loss: 1.7097 2022/08/19 17:43:29 - mmengine - INFO - Epoch(train) [227][2900/3757] lr: 3.3504e-03 eta: 8:57:33 time: 0.2869 data_time: 0.0172 memory: 6332 grad_norm: 6.7479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/08/19 17:43:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:43:58 - mmengine - INFO - Epoch(train) [227][3000/3757] lr: 3.3504e-03 eta: 8:57:04 time: 0.2888 data_time: 0.0175 memory: 6332 grad_norm: 6.7104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6750 loss: 1.6750 2022/08/19 17:44:27 - mmengine - INFO - Epoch(train) [227][3100/3757] lr: 3.3504e-03 eta: 8:56:34 time: 0.2888 data_time: 0.0172 memory: 6332 grad_norm: 7.0745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5831 loss: 1.5831 2022/08/19 17:44:57 - mmengine - INFO - Epoch(train) [227][3200/3757] lr: 3.3504e-03 eta: 8:56:05 time: 0.2885 data_time: 0.0178 memory: 6332 grad_norm: 6.8433 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9369 loss: 1.9369 2022/08/19 17:45:26 - mmengine - INFO - Epoch(train) [227][3300/3757] lr: 3.3504e-03 eta: 8:55:35 time: 0.2892 data_time: 0.0183 memory: 6332 grad_norm: 6.6446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/08/19 17:45:56 - mmengine - INFO - Epoch(train) [227][3400/3757] lr: 3.3504e-03 eta: 8:55:06 time: 0.2875 data_time: 0.0170 memory: 6332 grad_norm: 6.7546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6203 loss: 1.6203 2022/08/19 17:46:25 - mmengine - INFO - Epoch(train) [227][3500/3757] lr: 3.3504e-03 eta: 8:54:36 time: 0.2885 data_time: 0.0167 memory: 6332 grad_norm: 6.8811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8759 loss: 1.8759 2022/08/19 17:46:54 - mmengine - INFO - Epoch(train) [227][3600/3757] lr: 3.3504e-03 eta: 8:54:07 time: 0.2963 data_time: 0.0179 memory: 6332 grad_norm: 6.5954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/08/19 17:47:24 - mmengine - INFO - Epoch(train) [227][3700/3757] lr: 3.3504e-03 eta: 8:53:37 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 6.6333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6957 loss: 1.6957 2022/08/19 17:47:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:47:40 - mmengine - INFO - Epoch(train) [227][3757/3757] lr: 3.3504e-03 eta: 8:53:26 time: 0.2715 data_time: 0.0161 memory: 6332 grad_norm: 6.6957 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.5320 loss: 1.5320 2022/08/19 17:48:12 - mmengine - INFO - Epoch(train) [228][100/3757] lr: 3.1330e-03 eta: 8:52:50 time: 0.2940 data_time: 0.0178 memory: 6332 grad_norm: 7.0255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0531 loss: 2.0531 2022/08/19 17:48:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:48:41 - mmengine - INFO - Epoch(train) [228][200/3757] lr: 3.1330e-03 eta: 8:52:20 time: 0.2913 data_time: 0.0161 memory: 6332 grad_norm: 6.6629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7166 loss: 1.7166 2022/08/19 17:49:11 - mmengine - INFO - Epoch(train) [228][300/3757] lr: 3.1330e-03 eta: 8:51:51 time: 0.3064 data_time: 0.0175 memory: 6332 grad_norm: 6.7409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/08/19 17:49:40 - mmengine - INFO - Epoch(train) [228][400/3757] lr: 3.1330e-03 eta: 8:51:22 time: 0.2867 data_time: 0.0169 memory: 6332 grad_norm: 6.7197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/19 17:50:10 - mmengine - INFO - Epoch(train) [228][500/3757] lr: 3.1330e-03 eta: 8:50:52 time: 0.2938 data_time: 0.0168 memory: 6332 grad_norm: 6.7128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/08/19 17:50:39 - mmengine - INFO - Epoch(train) [228][600/3757] lr: 3.1330e-03 eta: 8:50:23 time: 0.2879 data_time: 0.0198 memory: 6332 grad_norm: 6.8826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7320 loss: 1.7320 2022/08/19 17:51:08 - mmengine - INFO - Epoch(train) [228][700/3757] lr: 3.1330e-03 eta: 8:49:53 time: 0.2897 data_time: 0.0177 memory: 6332 grad_norm: 6.9307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8579 loss: 1.8579 2022/08/19 17:51:37 - mmengine - INFO - Epoch(train) [228][800/3757] lr: 3.1330e-03 eta: 8:49:24 time: 0.2876 data_time: 0.0180 memory: 6332 grad_norm: 6.8068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0465 loss: 2.0465 2022/08/19 17:52:07 - mmengine - INFO - Epoch(train) [228][900/3757] lr: 3.1330e-03 eta: 8:48:54 time: 0.2883 data_time: 0.0168 memory: 6332 grad_norm: 6.8224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5756 loss: 1.5756 2022/08/19 17:52:37 - mmengine - INFO - Epoch(train) [228][1000/3757] lr: 3.1330e-03 eta: 8:48:25 time: 0.2894 data_time: 0.0181 memory: 6332 grad_norm: 6.8367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8435 loss: 1.8435 2022/08/19 17:53:07 - mmengine - INFO - Epoch(train) [228][1100/3757] lr: 3.1330e-03 eta: 8:47:56 time: 0.2863 data_time: 0.0158 memory: 6332 grad_norm: 6.6830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5278 loss: 1.5278 2022/08/19 17:53:24 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:53:36 - mmengine - INFO - Epoch(train) [228][1200/3757] lr: 3.1330e-03 eta: 8:47:26 time: 0.2874 data_time: 0.0173 memory: 6332 grad_norm: 6.7606 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/08/19 17:54:05 - mmengine - INFO - Epoch(train) [228][1300/3757] lr: 3.1330e-03 eta: 8:46:57 time: 0.2888 data_time: 0.0177 memory: 6332 grad_norm: 6.7366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8892 loss: 1.8892 2022/08/19 17:54:35 - mmengine - INFO - Epoch(train) [228][1400/3757] lr: 3.1330e-03 eta: 8:46:27 time: 0.3033 data_time: 0.0192 memory: 6332 grad_norm: 6.5657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5048 loss: 1.5048 2022/08/19 17:55:04 - mmengine - INFO - Epoch(train) [228][1500/3757] lr: 3.1330e-03 eta: 8:45:58 time: 0.2901 data_time: 0.0172 memory: 6332 grad_norm: 6.8103 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5794 loss: 1.5794 2022/08/19 17:55:34 - mmengine - INFO - Epoch(train) [228][1600/3757] lr: 3.1330e-03 eta: 8:45:29 time: 0.2978 data_time: 0.0185 memory: 6332 grad_norm: 6.7462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7509 loss: 1.7509 2022/08/19 17:56:03 - mmengine - INFO - Epoch(train) [228][1700/3757] lr: 3.1330e-03 eta: 8:44:59 time: 0.2898 data_time: 0.0186 memory: 6332 grad_norm: 6.7514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5825 loss: 1.5825 2022/08/19 17:56:33 - mmengine - INFO - Epoch(train) [228][1800/3757] lr: 3.1330e-03 eta: 8:44:30 time: 0.2992 data_time: 0.0198 memory: 6332 grad_norm: 6.6906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7550 loss: 1.7550 2022/08/19 17:57:03 - mmengine - INFO - Epoch(train) [228][1900/3757] lr: 3.1330e-03 eta: 8:44:00 time: 0.2900 data_time: 0.0180 memory: 6332 grad_norm: 6.7420 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7473 loss: 1.7473 2022/08/19 17:57:32 - mmengine - INFO - Epoch(train) [228][2000/3757] lr: 3.1330e-03 eta: 8:43:31 time: 0.2991 data_time: 0.0195 memory: 6332 grad_norm: 6.7406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8283 loss: 1.8283 2022/08/19 17:58:02 - mmengine - INFO - Epoch(train) [228][2100/3757] lr: 3.1330e-03 eta: 8:43:02 time: 0.2919 data_time: 0.0177 memory: 6332 grad_norm: 6.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/08/19 17:58:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 17:58:31 - mmengine - INFO - Epoch(train) [228][2200/3757] lr: 3.1330e-03 eta: 8:42:32 time: 0.2953 data_time: 0.0173 memory: 6332 grad_norm: 6.9785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/08/19 17:59:01 - mmengine - INFO - Epoch(train) [228][2300/3757] lr: 3.1330e-03 eta: 8:42:03 time: 0.2905 data_time: 0.0176 memory: 6332 grad_norm: 6.6320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/19 17:59:30 - mmengine - INFO - Epoch(train) [228][2400/3757] lr: 3.1330e-03 eta: 8:41:33 time: 0.2872 data_time: 0.0160 memory: 6332 grad_norm: 7.0609 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8296 loss: 1.8296 2022/08/19 18:00:00 - mmengine - INFO - Epoch(train) [228][2500/3757] lr: 3.1330e-03 eta: 8:41:04 time: 0.2875 data_time: 0.0174 memory: 6332 grad_norm: 6.6975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8429 loss: 1.8429 2022/08/19 18:00:32 - mmengine - INFO - Epoch(train) [228][2600/3757] lr: 3.1330e-03 eta: 8:40:36 time: 0.2884 data_time: 0.0184 memory: 6332 grad_norm: 6.6768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8840 loss: 1.8840 2022/08/19 18:01:02 - mmengine - INFO - Epoch(train) [228][2700/3757] lr: 3.1330e-03 eta: 8:40:07 time: 0.2979 data_time: 0.0196 memory: 6332 grad_norm: 6.7383 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/08/19 18:01:31 - mmengine - INFO - Epoch(train) [228][2800/3757] lr: 3.1330e-03 eta: 8:39:37 time: 0.2908 data_time: 0.0171 memory: 6332 grad_norm: 6.8305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7699 loss: 1.7699 2022/08/19 18:02:01 - mmengine - INFO - Epoch(train) [228][2900/3757] lr: 3.1330e-03 eta: 8:39:08 time: 0.2902 data_time: 0.0166 memory: 6332 grad_norm: 6.6096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6373 loss: 1.6373 2022/08/19 18:02:30 - mmengine - INFO - Epoch(train) [228][3000/3757] lr: 3.1330e-03 eta: 8:38:38 time: 0.2889 data_time: 0.0171 memory: 6332 grad_norm: 6.7086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8028 loss: 1.8028 2022/08/19 18:02:59 - mmengine - INFO - Epoch(train) [228][3100/3757] lr: 3.1330e-03 eta: 8:38:09 time: 0.2877 data_time: 0.0174 memory: 6332 grad_norm: 6.6347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7761 loss: 1.7761 2022/08/19 18:03:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:03:29 - mmengine - INFO - Epoch(train) [228][3200/3757] lr: 3.1330e-03 eta: 8:37:39 time: 0.2876 data_time: 0.0167 memory: 6332 grad_norm: 6.7970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8046 loss: 1.8046 2022/08/19 18:03:58 - mmengine - INFO - Epoch(train) [228][3300/3757] lr: 3.1330e-03 eta: 8:37:10 time: 0.2873 data_time: 0.0164 memory: 6332 grad_norm: 6.5567 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9127 loss: 1.9127 2022/08/19 18:04:28 - mmengine - INFO - Epoch(train) [228][3400/3757] lr: 3.1330e-03 eta: 8:36:40 time: 0.2887 data_time: 0.0164 memory: 6332 grad_norm: 6.8480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/08/19 18:04:58 - mmengine - INFO - Epoch(train) [228][3500/3757] lr: 3.1330e-03 eta: 8:36:11 time: 0.2892 data_time: 0.0165 memory: 6332 grad_norm: 6.7150 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7942 loss: 1.7942 2022/08/19 18:05:27 - mmengine - INFO - Epoch(train) [228][3600/3757] lr: 3.1330e-03 eta: 8:35:42 time: 0.2892 data_time: 0.0174 memory: 6332 grad_norm: 6.5635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6981 loss: 1.6981 2022/08/19 18:05:57 - mmengine - INFO - Epoch(train) [228][3700/3757] lr: 3.1330e-03 eta: 8:35:12 time: 0.2921 data_time: 0.0171 memory: 6332 grad_norm: 6.6852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6536 loss: 1.6536 2022/08/19 18:06:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:06:13 - mmengine - INFO - Epoch(train) [228][3757/3757] lr: 3.1330e-03 eta: 8:35:01 time: 0.2720 data_time: 0.0168 memory: 6332 grad_norm: 7.0065 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7331 loss: 1.7331 2022/08/19 18:06:13 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/19 18:06:48 - mmengine - INFO - Epoch(train) [229][100/3757] lr: 2.9228e-03 eta: 8:34:24 time: 0.2887 data_time: 0.0179 memory: 6332 grad_norm: 7.0145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7721 loss: 1.7721 2022/08/19 18:07:17 - mmengine - INFO - Epoch(train) [229][200/3757] lr: 2.9228e-03 eta: 8:33:55 time: 0.2893 data_time: 0.0166 memory: 6332 grad_norm: 6.4961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5362 loss: 1.5362 2022/08/19 18:07:47 - mmengine - INFO - Epoch(train) [229][300/3757] lr: 2.9228e-03 eta: 8:33:25 time: 0.2918 data_time: 0.0186 memory: 6332 grad_norm: 6.8078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9265 loss: 1.9265 2022/08/19 18:08:16 - mmengine - INFO - Epoch(train) [229][400/3757] lr: 2.9228e-03 eta: 8:32:56 time: 0.2978 data_time: 0.0175 memory: 6332 grad_norm: 6.8075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6297 loss: 1.6297 2022/08/19 18:08:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:08:46 - mmengine - INFO - Epoch(train) [229][500/3757] lr: 2.9228e-03 eta: 8:32:27 time: 0.2912 data_time: 0.0172 memory: 6332 grad_norm: 6.7712 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9038 loss: 1.9038 2022/08/19 18:09:15 - mmengine - INFO - Epoch(train) [229][600/3757] lr: 2.9228e-03 eta: 8:31:57 time: 0.2951 data_time: 0.0190 memory: 6332 grad_norm: 6.9020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/08/19 18:09:44 - mmengine - INFO - Epoch(train) [229][700/3757] lr: 2.9228e-03 eta: 8:31:28 time: 0.2896 data_time: 0.0173 memory: 6332 grad_norm: 6.8568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/08/19 18:10:14 - mmengine - INFO - Epoch(train) [229][800/3757] lr: 2.9228e-03 eta: 8:30:58 time: 0.2983 data_time: 0.0175 memory: 6332 grad_norm: 6.7855 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6814 loss: 1.6814 2022/08/19 18:10:44 - mmengine - INFO - Epoch(train) [229][900/3757] lr: 2.9228e-03 eta: 8:30:29 time: 0.2889 data_time: 0.0174 memory: 6332 grad_norm: 6.9700 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9962 loss: 1.9962 2022/08/19 18:11:13 - mmengine - INFO - Epoch(train) [229][1000/3757] lr: 2.9228e-03 eta: 8:30:00 time: 0.3008 data_time: 0.0176 memory: 6332 grad_norm: 6.8224 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3266 loss: 1.3266 2022/08/19 18:11:43 - mmengine - INFO - Epoch(train) [229][1100/3757] lr: 2.9228e-03 eta: 8:29:30 time: 0.2894 data_time: 0.0172 memory: 6332 grad_norm: 6.7466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7896 loss: 1.7896 2022/08/19 18:12:12 - mmengine - INFO - Epoch(train) [229][1200/3757] lr: 2.9228e-03 eta: 8:29:01 time: 0.2914 data_time: 0.0182 memory: 6332 grad_norm: 6.7850 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5581 loss: 1.5581 2022/08/19 18:12:42 - mmengine - INFO - Epoch(train) [229][1300/3757] lr: 2.9228e-03 eta: 8:28:32 time: 0.2895 data_time: 0.0181 memory: 6332 grad_norm: 6.8984 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/08/19 18:13:12 - mmengine - INFO - Epoch(train) [229][1400/3757] lr: 2.9228e-03 eta: 8:28:02 time: 0.2873 data_time: 0.0165 memory: 6332 grad_norm: 6.8180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6641 loss: 1.6641 2022/08/19 18:13:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:13:41 - mmengine - INFO - Epoch(train) [229][1500/3757] lr: 2.9228e-03 eta: 8:27:33 time: 0.2904 data_time: 0.0175 memory: 6332 grad_norm: 6.6688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5945 loss: 1.5945 2022/08/19 18:14:11 - mmengine - INFO - Epoch(train) [229][1600/3757] lr: 2.9228e-03 eta: 8:27:03 time: 0.2873 data_time: 0.0170 memory: 6332 grad_norm: 7.1844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/08/19 18:14:40 - mmengine - INFO - Epoch(train) [229][1700/3757] lr: 2.9228e-03 eta: 8:26:34 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 6.6033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5865 loss: 1.5865 2022/08/19 18:15:10 - mmengine - INFO - Epoch(train) [229][1800/3757] lr: 2.9228e-03 eta: 8:26:04 time: 0.2876 data_time: 0.0173 memory: 6332 grad_norm: 6.6834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6635 loss: 1.6635 2022/08/19 18:15:40 - mmengine - INFO - Epoch(train) [229][1900/3757] lr: 2.9228e-03 eta: 8:25:35 time: 0.2878 data_time: 0.0163 memory: 6332 grad_norm: 6.6537 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9641 loss: 1.9641 2022/08/19 18:16:09 - mmengine - INFO - Epoch(train) [229][2000/3757] lr: 2.9228e-03 eta: 8:25:06 time: 0.2877 data_time: 0.0167 memory: 6332 grad_norm: 6.8960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5401 loss: 1.5401 2022/08/19 18:16:39 - mmengine - INFO - Epoch(train) [229][2100/3757] lr: 2.9228e-03 eta: 8:24:36 time: 0.2887 data_time: 0.0167 memory: 6332 grad_norm: 6.8606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/08/19 18:17:08 - mmengine - INFO - Epoch(train) [229][2200/3757] lr: 2.9228e-03 eta: 8:24:07 time: 0.2877 data_time: 0.0163 memory: 6332 grad_norm: 6.7832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8671 loss: 1.8671 2022/08/19 18:17:38 - mmengine - INFO - Epoch(train) [229][2300/3757] lr: 2.9228e-03 eta: 8:23:38 time: 0.3007 data_time: 0.0196 memory: 6332 grad_norm: 6.7264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9565 loss: 1.9565 2022/08/19 18:18:07 - mmengine - INFO - Epoch(train) [229][2400/3757] lr: 2.9228e-03 eta: 8:23:08 time: 0.2891 data_time: 0.0168 memory: 6332 grad_norm: 7.1442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/08/19 18:18:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:18:37 - mmengine - INFO - Epoch(train) [229][2500/3757] lr: 2.9228e-03 eta: 8:22:39 time: 0.3006 data_time: 0.0183 memory: 6332 grad_norm: 6.9570 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9814 loss: 1.9814 2022/08/19 18:19:06 - mmengine - INFO - Epoch(train) [229][2600/3757] lr: 2.9228e-03 eta: 8:22:09 time: 0.2885 data_time: 0.0175 memory: 6332 grad_norm: 6.7759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4133 loss: 1.4133 2022/08/19 18:19:36 - mmengine - INFO - Epoch(train) [229][2700/3757] lr: 2.9228e-03 eta: 8:21:40 time: 0.3071 data_time: 0.0178 memory: 6332 grad_norm: 6.9437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3451 loss: 1.3451 2022/08/19 18:20:06 - mmengine - INFO - Epoch(train) [229][2800/3757] lr: 2.9228e-03 eta: 8:21:11 time: 0.2901 data_time: 0.0173 memory: 6332 grad_norm: 6.8939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8420 loss: 1.8420 2022/08/19 18:20:36 - mmengine - INFO - Epoch(train) [229][2900/3757] lr: 2.9228e-03 eta: 8:20:42 time: 0.2942 data_time: 0.0186 memory: 6332 grad_norm: 6.9472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8194 loss: 1.8194 2022/08/19 18:21:05 - mmengine - INFO - Epoch(train) [229][3000/3757] lr: 2.9228e-03 eta: 8:20:12 time: 0.2881 data_time: 0.0167 memory: 6332 grad_norm: 6.7901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/08/19 18:21:34 - mmengine - INFO - Epoch(train) [229][3100/3757] lr: 2.9228e-03 eta: 8:19:43 time: 0.2992 data_time: 0.0189 memory: 6332 grad_norm: 6.7538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8810 loss: 1.8810 2022/08/19 18:22:04 - mmengine - INFO - Epoch(train) [229][3200/3757] lr: 2.9228e-03 eta: 8:19:13 time: 0.2904 data_time: 0.0179 memory: 6332 grad_norm: 6.8209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/08/19 18:22:34 - mmengine - INFO - Epoch(train) [229][3300/3757] lr: 2.9228e-03 eta: 8:18:44 time: 0.2994 data_time: 0.0196 memory: 6332 grad_norm: 6.8124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/08/19 18:23:03 - mmengine - INFO - Epoch(train) [229][3400/3757] lr: 2.9228e-03 eta: 8:18:15 time: 0.2896 data_time: 0.0164 memory: 6332 grad_norm: 6.8707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/08/19 18:23:04 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:23:32 - mmengine - INFO - Epoch(train) [229][3500/3757] lr: 2.9228e-03 eta: 8:17:45 time: 0.2904 data_time: 0.0167 memory: 6332 grad_norm: 6.7756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8084 loss: 1.8084 2022/08/19 18:24:02 - mmengine - INFO - Epoch(train) [229][3600/3757] lr: 2.9228e-03 eta: 8:17:16 time: 0.2884 data_time: 0.0179 memory: 6332 grad_norm: 6.7260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9131 loss: 1.9131 2022/08/19 18:24:31 - mmengine - INFO - Epoch(train) [229][3700/3757] lr: 2.9228e-03 eta: 8:16:46 time: 0.2890 data_time: 0.0179 memory: 6332 grad_norm: 6.9027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7929 loss: 1.7929 2022/08/19 18:24:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:24:48 - mmengine - INFO - Epoch(train) [229][3757/3757] lr: 2.9228e-03 eta: 8:16:34 time: 0.2700 data_time: 0.0161 memory: 6332 grad_norm: 6.8305 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.5718 loss: 1.5718 2022/08/19 18:25:19 - mmengine - INFO - Epoch(train) [230][100/3757] lr: 2.7196e-03 eta: 8:15:59 time: 0.2889 data_time: 0.0168 memory: 6332 grad_norm: 7.0253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7040 loss: 1.7040 2022/08/19 18:25:49 - mmengine - INFO - Epoch(train) [230][200/3757] lr: 2.7196e-03 eta: 8:15:29 time: 0.2894 data_time: 0.0182 memory: 6332 grad_norm: 6.9417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6255 loss: 1.6255 2022/08/19 18:26:18 - mmengine - INFO - Epoch(train) [230][300/3757] lr: 2.7196e-03 eta: 8:15:00 time: 0.3045 data_time: 0.0170 memory: 6332 grad_norm: 6.5710 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6179 loss: 1.6179 2022/08/19 18:26:48 - mmengine - INFO - Epoch(train) [230][400/3757] lr: 2.7196e-03 eta: 8:14:31 time: 0.2887 data_time: 0.0190 memory: 6332 grad_norm: 6.7331 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7755 loss: 1.7755 2022/08/19 18:27:17 - mmengine - INFO - Epoch(train) [230][500/3757] lr: 2.7196e-03 eta: 8:14:01 time: 0.2931 data_time: 0.0185 memory: 6332 grad_norm: 6.8158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5352 loss: 1.5352 2022/08/19 18:27:47 - mmengine - INFO - Epoch(train) [230][600/3757] lr: 2.7196e-03 eta: 8:13:32 time: 0.2984 data_time: 0.0170 memory: 6332 grad_norm: 6.8683 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/19 18:28:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:28:16 - mmengine - INFO - Epoch(train) [230][700/3757] lr: 2.7196e-03 eta: 8:13:02 time: 0.2890 data_time: 0.0165 memory: 6332 grad_norm: 6.7718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/19 18:28:46 - mmengine - INFO - Epoch(train) [230][800/3757] lr: 2.7196e-03 eta: 8:12:33 time: 0.2928 data_time: 0.0181 memory: 6332 grad_norm: 6.6950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9508 loss: 1.9508 2022/08/19 18:29:15 - mmengine - INFO - Epoch(train) [230][900/3757] lr: 2.7196e-03 eta: 8:12:03 time: 0.2917 data_time: 0.0162 memory: 6332 grad_norm: 6.8490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6072 loss: 1.6072 2022/08/19 18:29:45 - mmengine - INFO - Epoch(train) [230][1000/3757] lr: 2.7196e-03 eta: 8:11:34 time: 0.2955 data_time: 0.0188 memory: 6332 grad_norm: 7.0043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9943 loss: 1.9943 2022/08/19 18:30:14 - mmengine - INFO - Epoch(train) [230][1100/3757] lr: 2.7196e-03 eta: 8:11:05 time: 0.2917 data_time: 0.0175 memory: 6332 grad_norm: 6.9391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5631 loss: 1.5631 2022/08/19 18:30:44 - mmengine - INFO - Epoch(train) [230][1200/3757] lr: 2.7196e-03 eta: 8:10:35 time: 0.2869 data_time: 0.0166 memory: 6332 grad_norm: 7.0128 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7793 loss: 1.7793 2022/08/19 18:31:14 - mmengine - INFO - Epoch(train) [230][1300/3757] lr: 2.7196e-03 eta: 8:10:06 time: 0.2963 data_time: 0.0185 memory: 6332 grad_norm: 7.1777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8108 loss: 1.8108 2022/08/19 18:31:44 - mmengine - INFO - Epoch(train) [230][1400/3757] lr: 2.7196e-03 eta: 8:09:37 time: 0.2892 data_time: 0.0165 memory: 6332 grad_norm: 6.7749 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8536 loss: 1.8536 2022/08/19 18:32:13 - mmengine - INFO - Epoch(train) [230][1500/3757] lr: 2.7196e-03 eta: 8:09:07 time: 0.2893 data_time: 0.0178 memory: 6332 grad_norm: 6.9786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6300 loss: 1.6300 2022/08/19 18:32:43 - mmengine - INFO - Epoch(train) [230][1600/3757] lr: 2.7196e-03 eta: 8:08:38 time: 0.2872 data_time: 0.0176 memory: 6332 grad_norm: 6.9409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7414 loss: 1.7414 2022/08/19 18:32:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:33:13 - mmengine - INFO - Epoch(train) [230][1700/3757] lr: 2.7196e-03 eta: 8:08:09 time: 0.2881 data_time: 0.0173 memory: 6332 grad_norm: 6.9202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7296 loss: 1.7296 2022/08/19 18:33:42 - mmengine - INFO - Epoch(train) [230][1800/3757] lr: 2.7196e-03 eta: 8:07:39 time: 0.2895 data_time: 0.0176 memory: 6332 grad_norm: 7.0430 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/08/19 18:34:12 - mmengine - INFO - Epoch(train) [230][1900/3757] lr: 2.7196e-03 eta: 8:07:10 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 6.6635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5900 loss: 1.5900 2022/08/19 18:34:42 - mmengine - INFO - Epoch(train) [230][2000/3757] lr: 2.7196e-03 eta: 8:06:41 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 6.9643 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6252 loss: 1.6252 2022/08/19 18:35:11 - mmengine - INFO - Epoch(train) [230][2100/3757] lr: 2.7196e-03 eta: 8:06:11 time: 0.2891 data_time: 0.0172 memory: 6332 grad_norm: 6.7560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/08/19 18:35:41 - mmengine - INFO - Epoch(train) [230][2200/3757] lr: 2.7196e-03 eta: 8:05:42 time: 0.2867 data_time: 0.0173 memory: 6332 grad_norm: 6.9623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7268 loss: 1.7268 2022/08/19 18:36:10 - mmengine - INFO - Epoch(train) [230][2300/3757] lr: 2.7196e-03 eta: 8:05:12 time: 0.2904 data_time: 0.0180 memory: 6332 grad_norm: 6.6843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6081 loss: 1.6081 2022/08/19 18:36:39 - mmengine - INFO - Epoch(train) [230][2400/3757] lr: 2.7196e-03 eta: 8:04:43 time: 0.2927 data_time: 0.0162 memory: 6332 grad_norm: 6.8615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5502 loss: 1.5502 2022/08/19 18:37:09 - mmengine - INFO - Epoch(train) [230][2500/3757] lr: 2.7196e-03 eta: 8:04:14 time: 0.2904 data_time: 0.0158 memory: 6332 grad_norm: 6.9667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6339 loss: 1.6339 2022/08/19 18:37:38 - mmengine - INFO - Epoch(train) [230][2600/3757] lr: 2.7196e-03 eta: 8:03:44 time: 0.3012 data_time: 0.0184 memory: 6332 grad_norm: 6.7289 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6552 loss: 1.6552 2022/08/19 18:37:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:38:07 - mmengine - INFO - Epoch(train) [230][2700/3757] lr: 2.7196e-03 eta: 8:03:15 time: 0.2919 data_time: 0.0210 memory: 6332 grad_norm: 7.1314 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8167 loss: 1.8167 2022/08/19 18:38:37 - mmengine - INFO - Epoch(train) [230][2800/3757] lr: 2.7196e-03 eta: 8:02:45 time: 0.2931 data_time: 0.0184 memory: 6332 grad_norm: 6.9600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7762 loss: 1.7762 2022/08/19 18:39:06 - mmengine - INFO - Epoch(train) [230][2900/3757] lr: 2.7196e-03 eta: 8:02:16 time: 0.2938 data_time: 0.0178 memory: 6332 grad_norm: 7.1045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/08/19 18:39:36 - mmengine - INFO - Epoch(train) [230][3000/3757] lr: 2.7196e-03 eta: 8:01:46 time: 0.2942 data_time: 0.0183 memory: 6332 grad_norm: 6.8014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9002 loss: 1.9002 2022/08/19 18:40:05 - mmengine - INFO - Epoch(train) [230][3100/3757] lr: 2.7196e-03 eta: 8:01:17 time: 0.2944 data_time: 0.0197 memory: 6332 grad_norm: 7.1309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/08/19 18:40:35 - mmengine - INFO - Epoch(train) [230][3200/3757] lr: 2.7196e-03 eta: 8:00:48 time: 0.2931 data_time: 0.0167 memory: 6332 grad_norm: 7.0683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0451 loss: 2.0451 2022/08/19 18:41:04 - mmengine - INFO - Epoch(train) [230][3300/3757] lr: 2.7196e-03 eta: 8:00:18 time: 0.2899 data_time: 0.0177 memory: 6332 grad_norm: 6.9328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5865 loss: 1.5865 2022/08/19 18:41:34 - mmengine - INFO - Epoch(train) [230][3400/3757] lr: 2.7196e-03 eta: 7:59:49 time: 0.2899 data_time: 0.0177 memory: 6332 grad_norm: 6.6890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6485 loss: 1.6485 2022/08/19 18:42:03 - mmengine - INFO - Epoch(train) [230][3500/3757] lr: 2.7196e-03 eta: 7:59:19 time: 0.2897 data_time: 0.0162 memory: 6332 grad_norm: 6.9392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/08/19 18:42:32 - mmengine - INFO - Epoch(train) [230][3600/3757] lr: 2.7196e-03 eta: 7:58:50 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 7.2836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6603 loss: 1.6603 2022/08/19 18:42:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:43:02 - mmengine - INFO - Epoch(train) [230][3700/3757] lr: 2.7196e-03 eta: 7:58:20 time: 0.2884 data_time: 0.0178 memory: 6332 grad_norm: 7.0211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4523 loss: 1.4523 2022/08/19 18:43:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:43:19 - mmengine - INFO - Epoch(train) [230][3757/3757] lr: 2.7196e-03 eta: 7:58:09 time: 0.2990 data_time: 0.0155 memory: 6332 grad_norm: 7.0220 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5982 loss: 1.5982 2022/08/19 18:43:40 - mmengine - INFO - Epoch(val) [230][100/310] eta: 0:00:45 time: 0.2169 data_time: 0.1210 memory: 1147 2022/08/19 18:44:01 - mmengine - INFO - Epoch(val) [230][200/310] eta: 0:00:19 time: 0.1770 data_time: 0.0855 memory: 1147 2022/08/19 18:44:22 - mmengine - INFO - Epoch(val) [230][300/310] eta: 0:00:01 time: 0.1979 data_time: 0.1095 memory: 1147 2022/08/19 18:44:26 - mmengine - INFO - Epoch(val) [230][310/310] acc/top1: 0.6438 acc/top5: 0.8572 acc/mean1: 0.6437 2022/08/19 18:44:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_226.pth is removed 2022/08/19 18:44:29 - mmengine - INFO - The best checkpoint with 0.6438 acc/top1 at 231 epoch is saved to best_acc/top1_epoch_231.pth. 2022/08/19 18:44:59 - mmengine - INFO - Epoch(train) [231][100/3757] lr: 2.5236e-03 eta: 7:57:33 time: 0.2866 data_time: 0.0161 memory: 6332 grad_norm: 7.0618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9296 loss: 1.9296 2022/08/19 18:45:29 - mmengine - INFO - Epoch(train) [231][200/3757] lr: 2.5236e-03 eta: 7:57:03 time: 0.2987 data_time: 0.0176 memory: 6332 grad_norm: 6.9496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3564 loss: 1.3564 2022/08/19 18:45:58 - mmengine - INFO - Epoch(train) [231][300/3757] lr: 2.5236e-03 eta: 7:56:34 time: 0.2897 data_time: 0.0175 memory: 6332 grad_norm: 6.9918 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/08/19 18:46:28 - mmengine - INFO - Epoch(train) [231][400/3757] lr: 2.5236e-03 eta: 7:56:04 time: 0.3034 data_time: 0.0176 memory: 6332 grad_norm: 7.0189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/08/19 18:46:57 - mmengine - INFO - Epoch(train) [231][500/3757] lr: 2.5236e-03 eta: 7:55:35 time: 0.2905 data_time: 0.0173 memory: 6332 grad_norm: 7.0062 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6818 loss: 1.6818 2022/08/19 18:47:28 - mmengine - INFO - Epoch(train) [231][600/3757] lr: 2.5236e-03 eta: 7:55:06 time: 0.3401 data_time: 0.0229 memory: 6332 grad_norm: 6.8509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5270 loss: 1.5270 2022/08/19 18:47:57 - mmengine - INFO - Epoch(train) [231][700/3757] lr: 2.5236e-03 eta: 7:54:37 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 7.0673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7191 loss: 1.7191 2022/08/19 18:48:27 - mmengine - INFO - Epoch(train) [231][800/3757] lr: 2.5236e-03 eta: 7:54:07 time: 0.3080 data_time: 0.0179 memory: 6332 grad_norm: 7.1879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0434 loss: 2.0434 2022/08/19 18:48:55 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:48:58 - mmengine - INFO - Epoch(train) [231][900/3757] lr: 2.5236e-03 eta: 7:53:38 time: 0.2985 data_time: 0.0174 memory: 6332 grad_norm: 7.1279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/08/19 18:49:28 - mmengine - INFO - Epoch(train) [231][1000/3757] lr: 2.5236e-03 eta: 7:53:09 time: 0.2958 data_time: 0.0183 memory: 6332 grad_norm: 7.0174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9114 loss: 1.9114 2022/08/19 18:49:57 - mmengine - INFO - Epoch(train) [231][1100/3757] lr: 2.5236e-03 eta: 7:52:40 time: 0.2877 data_time: 0.0181 memory: 6332 grad_norm: 6.9500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5138 loss: 1.5138 2022/08/19 18:50:27 - mmengine - INFO - Epoch(train) [231][1200/3757] lr: 2.5236e-03 eta: 7:52:10 time: 0.2995 data_time: 0.0179 memory: 6332 grad_norm: 7.1684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/08/19 18:50:56 - mmengine - INFO - Epoch(train) [231][1300/3757] lr: 2.5236e-03 eta: 7:51:41 time: 0.2903 data_time: 0.0180 memory: 6332 grad_norm: 6.8794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3955 loss: 1.3955 2022/08/19 18:51:25 - mmengine - INFO - Epoch(train) [231][1400/3757] lr: 2.5236e-03 eta: 7:51:11 time: 0.2886 data_time: 0.0165 memory: 6332 grad_norm: 7.2132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9694 loss: 1.9694 2022/08/19 18:51:55 - mmengine - INFO - Epoch(train) [231][1500/3757] lr: 2.5236e-03 eta: 7:50:42 time: 0.2906 data_time: 0.0170 memory: 6332 grad_norm: 7.1573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8053 loss: 1.8053 2022/08/19 18:52:24 - mmengine - INFO - Epoch(train) [231][1600/3757] lr: 2.5236e-03 eta: 7:50:13 time: 0.2894 data_time: 0.0170 memory: 6332 grad_norm: 7.3493 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6550 loss: 1.6550 2022/08/19 18:52:54 - mmengine - INFO - Epoch(train) [231][1700/3757] lr: 2.5236e-03 eta: 7:49:43 time: 0.2898 data_time: 0.0173 memory: 6332 grad_norm: 6.8932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8337 loss: 1.8337 2022/08/19 18:53:24 - mmengine - INFO - Epoch(train) [231][1800/3757] lr: 2.5236e-03 eta: 7:49:14 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 7.3019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7134 loss: 1.7134 2022/08/19 18:53:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:53:53 - mmengine - INFO - Epoch(train) [231][1900/3757] lr: 2.5236e-03 eta: 7:48:44 time: 0.2889 data_time: 0.0182 memory: 6332 grad_norm: 7.0525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5836 loss: 1.5836 2022/08/19 18:54:23 - mmengine - INFO - Epoch(train) [231][2000/3757] lr: 2.5236e-03 eta: 7:48:15 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 7.0680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/08/19 18:54:52 - mmengine - INFO - Epoch(train) [231][2100/3757] lr: 2.5236e-03 eta: 7:47:46 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 6.8733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/08/19 18:55:22 - mmengine - INFO - Epoch(train) [231][2200/3757] lr: 2.5236e-03 eta: 7:47:16 time: 0.2982 data_time: 0.0180 memory: 6332 grad_norm: 7.1484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7436 loss: 1.7436 2022/08/19 18:55:51 - mmengine - INFO - Epoch(train) [231][2300/3757] lr: 2.5236e-03 eta: 7:46:47 time: 0.2885 data_time: 0.0167 memory: 6332 grad_norm: 7.1892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7050 loss: 1.7050 2022/08/19 18:56:21 - mmengine - INFO - Epoch(train) [231][2400/3757] lr: 2.5236e-03 eta: 7:46:17 time: 0.2997 data_time: 0.0179 memory: 6332 grad_norm: 7.2825 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7763 loss: 1.7763 2022/08/19 18:56:50 - mmengine - INFO - Epoch(train) [231][2500/3757] lr: 2.5236e-03 eta: 7:45:48 time: 0.2889 data_time: 0.0167 memory: 6332 grad_norm: 7.1644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5952 loss: 1.5952 2022/08/19 18:57:20 - mmengine - INFO - Epoch(train) [231][2600/3757] lr: 2.5236e-03 eta: 7:45:19 time: 0.3341 data_time: 0.0185 memory: 6332 grad_norm: 7.2358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5299 loss: 1.5299 2022/08/19 18:57:50 - mmengine - INFO - Epoch(train) [231][2700/3757] lr: 2.5236e-03 eta: 7:44:50 time: 0.2908 data_time: 0.0175 memory: 6332 grad_norm: 7.2596 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8836 loss: 1.8836 2022/08/19 18:58:20 - mmengine - INFO - Epoch(train) [231][2800/3757] lr: 2.5236e-03 eta: 7:44:20 time: 0.3293 data_time: 0.0191 memory: 6332 grad_norm: 7.0772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8881 loss: 1.8881 2022/08/19 18:58:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 18:58:50 - mmengine - INFO - Epoch(train) [231][2900/3757] lr: 2.5236e-03 eta: 7:43:51 time: 0.2949 data_time: 0.0167 memory: 6332 grad_norm: 7.1428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6886 loss: 1.6886 2022/08/19 18:59:19 - mmengine - INFO - Epoch(train) [231][3000/3757] lr: 2.5236e-03 eta: 7:43:22 time: 0.2911 data_time: 0.0180 memory: 6332 grad_norm: 6.8809 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0359 loss: 2.0359 2022/08/19 18:59:49 - mmengine - INFO - Epoch(train) [231][3100/3757] lr: 2.5236e-03 eta: 7:42:52 time: 0.2884 data_time: 0.0176 memory: 6332 grad_norm: 7.2626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0818 loss: 2.0818 2022/08/19 19:00:18 - mmengine - INFO - Epoch(train) [231][3200/3757] lr: 2.5236e-03 eta: 7:42:23 time: 0.3001 data_time: 0.0188 memory: 6332 grad_norm: 7.0656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6513 loss: 1.6513 2022/08/19 19:00:48 - mmengine - INFO - Epoch(train) [231][3300/3757] lr: 2.5236e-03 eta: 7:41:53 time: 0.2947 data_time: 0.0192 memory: 6332 grad_norm: 7.0804 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7183 loss: 1.7183 2022/08/19 19:01:17 - mmengine - INFO - Epoch(train) [231][3400/3757] lr: 2.5236e-03 eta: 7:41:24 time: 0.2888 data_time: 0.0168 memory: 6332 grad_norm: 7.0245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5960 loss: 1.5960 2022/08/19 19:01:46 - mmengine - INFO - Epoch(train) [231][3500/3757] lr: 2.5236e-03 eta: 7:40:55 time: 0.2898 data_time: 0.0171 memory: 6332 grad_norm: 7.0129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9095 loss: 1.9095 2022/08/19 19:02:16 - mmengine - INFO - Epoch(train) [231][3600/3757] lr: 2.5236e-03 eta: 7:40:25 time: 0.2896 data_time: 0.0181 memory: 6332 grad_norm: 7.0039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7847 loss: 1.7847 2022/08/19 19:02:46 - mmengine - INFO - Epoch(train) [231][3700/3757] lr: 2.5236e-03 eta: 7:39:56 time: 0.2893 data_time: 0.0165 memory: 6332 grad_norm: 7.1402 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4500 loss: 1.4500 2022/08/19 19:03:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:03:02 - mmengine - INFO - Epoch(train) [231][3757/3757] lr: 2.5236e-03 eta: 7:39:44 time: 0.2727 data_time: 0.0169 memory: 6332 grad_norm: 6.8643 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7898 loss: 1.7898 2022/08/19 19:03:33 - mmengine - INFO - Epoch(train) [232][100/3757] lr: 2.3347e-03 eta: 7:39:08 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 7.0068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5623 loss: 1.5623 2022/08/19 19:03:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:04:04 - mmengine - INFO - Epoch(train) [232][200/3757] lr: 2.3347e-03 eta: 7:38:39 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 7.0035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7520 loss: 1.7520 2022/08/19 19:04:33 - mmengine - INFO - Epoch(train) [232][300/3757] lr: 2.3347e-03 eta: 7:38:10 time: 0.2901 data_time: 0.0187 memory: 6332 grad_norm: 7.4070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6531 loss: 1.6531 2022/08/19 19:05:03 - mmengine - INFO - Epoch(train) [232][400/3757] lr: 2.3347e-03 eta: 7:37:41 time: 0.2912 data_time: 0.0188 memory: 6332 grad_norm: 7.2293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8557 loss: 1.8557 2022/08/19 19:05:32 - mmengine - INFO - Epoch(train) [232][500/3757] lr: 2.3347e-03 eta: 7:37:11 time: 0.2891 data_time: 0.0178 memory: 6332 grad_norm: 7.3480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6403 loss: 1.6403 2022/08/19 19:06:02 - mmengine - INFO - Epoch(train) [232][600/3757] lr: 2.3347e-03 eta: 7:36:42 time: 0.3026 data_time: 0.0193 memory: 6332 grad_norm: 7.1268 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/08/19 19:06:32 - mmengine - INFO - Epoch(train) [232][700/3757] lr: 2.3347e-03 eta: 7:36:13 time: 0.2907 data_time: 0.0185 memory: 6332 grad_norm: 6.7217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6844 loss: 1.6844 2022/08/19 19:07:01 - mmengine - INFO - Epoch(train) [232][800/3757] lr: 2.3347e-03 eta: 7:35:43 time: 0.3112 data_time: 0.0175 memory: 6332 grad_norm: 7.0779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6651 loss: 1.6651 2022/08/19 19:07:31 - mmengine - INFO - Epoch(train) [232][900/3757] lr: 2.3347e-03 eta: 7:35:14 time: 0.2933 data_time: 0.0186 memory: 6332 grad_norm: 6.9662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4559 loss: 1.4559 2022/08/19 19:08:01 - mmengine - INFO - Epoch(train) [232][1000/3757] lr: 2.3347e-03 eta: 7:34:45 time: 0.2962 data_time: 0.0174 memory: 6332 grad_norm: 7.0295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6720 loss: 1.6720 2022/08/19 19:08:30 - mmengine - INFO - Epoch(train) [232][1100/3757] lr: 2.3347e-03 eta: 7:34:15 time: 0.2958 data_time: 0.0193 memory: 6332 grad_norm: 7.0522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5432 loss: 1.5432 2022/08/19 19:08:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:09:00 - mmengine - INFO - Epoch(train) [232][1200/3757] lr: 2.3347e-03 eta: 7:33:46 time: 0.2905 data_time: 0.0174 memory: 6332 grad_norm: 7.1374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6844 loss: 1.6844 2022/08/19 19:09:29 - mmengine - INFO - Epoch(train) [232][1300/3757] lr: 2.3347e-03 eta: 7:33:16 time: 0.2977 data_time: 0.0186 memory: 6332 grad_norm: 7.3111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6257 loss: 1.6257 2022/08/19 19:09:59 - mmengine - INFO - Epoch(train) [232][1400/3757] lr: 2.3347e-03 eta: 7:32:47 time: 0.2893 data_time: 0.0196 memory: 6332 grad_norm: 7.2902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/08/19 19:10:29 - mmengine - INFO - Epoch(train) [232][1500/3757] lr: 2.3347e-03 eta: 7:32:18 time: 0.2981 data_time: 0.0196 memory: 6332 grad_norm: 7.1501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7896 loss: 1.7896 2022/08/19 19:10:58 - mmengine - INFO - Epoch(train) [232][1600/3757] lr: 2.3347e-03 eta: 7:31:48 time: 0.2896 data_time: 0.0185 memory: 6332 grad_norm: 7.3011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/08/19 19:11:27 - mmengine - INFO - Epoch(train) [232][1700/3757] lr: 2.3347e-03 eta: 7:31:19 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 7.1813 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5355 loss: 1.5355 2022/08/19 19:11:57 - mmengine - INFO - Epoch(train) [232][1800/3757] lr: 2.3347e-03 eta: 7:30:49 time: 0.2888 data_time: 0.0172 memory: 6332 grad_norm: 7.0177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6903 loss: 1.6903 2022/08/19 19:12:27 - mmengine - INFO - Epoch(train) [232][1900/3757] lr: 2.3347e-03 eta: 7:30:20 time: 0.2898 data_time: 0.0174 memory: 6332 grad_norm: 7.1477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6627 loss: 1.6627 2022/08/19 19:12:56 - mmengine - INFO - Epoch(train) [232][2000/3757] lr: 2.3347e-03 eta: 7:29:51 time: 0.2907 data_time: 0.0193 memory: 6332 grad_norm: 7.1490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4371 loss: 1.4371 2022/08/19 19:13:26 - mmengine - INFO - Epoch(train) [232][2100/3757] lr: 2.3347e-03 eta: 7:29:22 time: 0.2880 data_time: 0.0167 memory: 6332 grad_norm: 7.1894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6214 loss: 1.6214 2022/08/19 19:13:36 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:13:55 - mmengine - INFO - Epoch(train) [232][2200/3757] lr: 2.3347e-03 eta: 7:28:52 time: 0.2891 data_time: 0.0165 memory: 6332 grad_norm: 7.3083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8352 loss: 1.8352 2022/08/19 19:14:25 - mmengine - INFO - Epoch(train) [232][2300/3757] lr: 2.3347e-03 eta: 7:28:23 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 7.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9693 loss: 1.9693 2022/08/19 19:14:54 - mmengine - INFO - Epoch(train) [232][2400/3757] lr: 2.3347e-03 eta: 7:27:53 time: 0.2900 data_time: 0.0197 memory: 6332 grad_norm: 7.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3388 loss: 1.3388 2022/08/19 19:15:24 - mmengine - INFO - Epoch(train) [232][2500/3757] lr: 2.3347e-03 eta: 7:27:24 time: 0.2947 data_time: 0.0184 memory: 6332 grad_norm: 7.0662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7753 loss: 1.7753 2022/08/19 19:15:53 - mmengine - INFO - Epoch(train) [232][2600/3757] lr: 2.3347e-03 eta: 7:26:54 time: 0.2896 data_time: 0.0189 memory: 6332 grad_norm: 7.3532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6282 loss: 1.6282 2022/08/19 19:16:23 - mmengine - INFO - Epoch(train) [232][2700/3757] lr: 2.3347e-03 eta: 7:26:25 time: 0.3044 data_time: 0.0187 memory: 6332 grad_norm: 7.0332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8362 loss: 1.8362 2022/08/19 19:16:52 - mmengine - INFO - Epoch(train) [232][2800/3757] lr: 2.3347e-03 eta: 7:25:56 time: 0.2910 data_time: 0.0174 memory: 6332 grad_norm: 7.3700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8711 loss: 1.8711 2022/08/19 19:17:22 - mmengine - INFO - Epoch(train) [232][2900/3757] lr: 2.3347e-03 eta: 7:25:26 time: 0.2939 data_time: 0.0174 memory: 6332 grad_norm: 7.2736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4401 loss: 1.4401 2022/08/19 19:17:51 - mmengine - INFO - Epoch(train) [232][3000/3757] lr: 2.3347e-03 eta: 7:24:57 time: 0.2893 data_time: 0.0192 memory: 6332 grad_norm: 7.0397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6611 loss: 1.6611 2022/08/19 19:18:21 - mmengine - INFO - Epoch(train) [232][3100/3757] lr: 2.3347e-03 eta: 7:24:28 time: 0.2901 data_time: 0.0189 memory: 6332 grad_norm: 7.0970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8081 loss: 1.8081 2022/08/19 19:18:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:18:50 - mmengine - INFO - Epoch(train) [232][3200/3757] lr: 2.3347e-03 eta: 7:23:58 time: 0.2963 data_time: 0.0189 memory: 6332 grad_norm: 7.0790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4169 loss: 1.4169 2022/08/19 19:19:20 - mmengine - INFO - Epoch(train) [232][3300/3757] lr: 2.3347e-03 eta: 7:23:29 time: 0.2913 data_time: 0.0180 memory: 6332 grad_norm: 7.1203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5614 loss: 1.5614 2022/08/19 19:19:50 - mmengine - INFO - Epoch(train) [232][3400/3757] lr: 2.3347e-03 eta: 7:22:59 time: 0.2930 data_time: 0.0184 memory: 6332 grad_norm: 7.0772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5590 loss: 1.5590 2022/08/19 19:20:19 - mmengine - INFO - Epoch(train) [232][3500/3757] lr: 2.3347e-03 eta: 7:22:30 time: 0.2873 data_time: 0.0162 memory: 6332 grad_norm: 7.2187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8744 loss: 1.8744 2022/08/19 19:20:49 - mmengine - INFO - Epoch(train) [232][3600/3757] lr: 2.3347e-03 eta: 7:22:01 time: 0.2975 data_time: 0.0167 memory: 6332 grad_norm: 7.1716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/08/19 19:21:18 - mmengine - INFO - Epoch(train) [232][3700/3757] lr: 2.3347e-03 eta: 7:21:31 time: 0.2892 data_time: 0.0180 memory: 6332 grad_norm: 7.2032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/08/19 19:21:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:21:35 - mmengine - INFO - Epoch(train) [232][3757/3757] lr: 2.3347e-03 eta: 7:21:20 time: 0.2691 data_time: 0.0154 memory: 6332 grad_norm: 7.1840 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.9045 loss: 1.9045 2022/08/19 19:21:35 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/19 19:22:10 - mmengine - INFO - Epoch(train) [233][100/3757] lr: 2.1530e-03 eta: 7:20:44 time: 0.3227 data_time: 0.0190 memory: 6332 grad_norm: 7.0468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6914 loss: 1.6914 2022/08/19 19:22:40 - mmengine - INFO - Epoch(train) [233][200/3757] lr: 2.1530e-03 eta: 7:20:15 time: 0.2885 data_time: 0.0168 memory: 6332 grad_norm: 7.1720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/08/19 19:23:10 - mmengine - INFO - Epoch(train) [233][300/3757] lr: 2.1530e-03 eta: 7:19:45 time: 0.2912 data_time: 0.0163 memory: 6332 grad_norm: 7.1287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8122 loss: 1.8122 2022/08/19 19:23:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:23:39 - mmengine - INFO - Epoch(train) [233][400/3757] lr: 2.1530e-03 eta: 7:19:16 time: 0.2900 data_time: 0.0178 memory: 6332 grad_norm: 7.3967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4606 loss: 1.4606 2022/08/19 19:24:10 - mmengine - INFO - Epoch(train) [233][500/3757] lr: 2.1530e-03 eta: 7:18:47 time: 0.2947 data_time: 0.0186 memory: 6332 grad_norm: 7.3110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4668 loss: 1.4668 2022/08/19 19:24:39 - mmengine - INFO - Epoch(train) [233][600/3757] lr: 2.1530e-03 eta: 7:18:17 time: 0.2884 data_time: 0.0170 memory: 6332 grad_norm: 7.1985 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5902 loss: 1.5902 2022/08/19 19:25:09 - mmengine - INFO - Epoch(train) [233][700/3757] lr: 2.1530e-03 eta: 7:17:48 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 7.1896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7870 loss: 1.7870 2022/08/19 19:25:39 - mmengine - INFO - Epoch(train) [233][800/3757] lr: 2.1530e-03 eta: 7:17:19 time: 0.2902 data_time: 0.0173 memory: 6332 grad_norm: 7.0361 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5439 loss: 1.5439 2022/08/19 19:26:08 - mmengine - INFO - Epoch(train) [233][900/3757] lr: 2.1530e-03 eta: 7:16:49 time: 0.2885 data_time: 0.0170 memory: 6332 grad_norm: 7.2179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4211 loss: 1.4211 2022/08/19 19:26:38 - mmengine - INFO - Epoch(train) [233][1000/3757] lr: 2.1530e-03 eta: 7:16:20 time: 0.2883 data_time: 0.0167 memory: 6332 grad_norm: 7.0635 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/08/19 19:27:08 - mmengine - INFO - Epoch(train) [233][1100/3757] lr: 2.1530e-03 eta: 7:15:51 time: 0.2899 data_time: 0.0176 memory: 6332 grad_norm: 7.5010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5968 loss: 1.5968 2022/08/19 19:27:38 - mmengine - INFO - Epoch(train) [233][1200/3757] lr: 2.1530e-03 eta: 7:15:22 time: 0.2882 data_time: 0.0165 memory: 6332 grad_norm: 7.1979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5811 loss: 1.5811 2022/08/19 19:28:08 - mmengine - INFO - Epoch(train) [233][1300/3757] lr: 2.1530e-03 eta: 7:14:52 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 7.0456 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8523 loss: 1.8523 2022/08/19 19:28:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:28:37 - mmengine - INFO - Epoch(train) [233][1400/3757] lr: 2.1530e-03 eta: 7:14:23 time: 0.2888 data_time: 0.0184 memory: 6332 grad_norm: 7.2837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5956 loss: 1.5956 2022/08/19 19:29:07 - mmengine - INFO - Epoch(train) [233][1500/3757] lr: 2.1530e-03 eta: 7:13:54 time: 0.2906 data_time: 0.0183 memory: 6332 grad_norm: 7.3887 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6725 loss: 1.6725 2022/08/19 19:29:36 - mmengine - INFO - Epoch(train) [233][1600/3757] lr: 2.1530e-03 eta: 7:13:24 time: 0.2893 data_time: 0.0183 memory: 6332 grad_norm: 7.1112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6590 loss: 1.6590 2022/08/19 19:30:06 - mmengine - INFO - Epoch(train) [233][1700/3757] lr: 2.1530e-03 eta: 7:12:55 time: 0.2903 data_time: 0.0191 memory: 6332 grad_norm: 7.3578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/08/19 19:30:35 - mmengine - INFO - Epoch(train) [233][1800/3757] lr: 2.1530e-03 eta: 7:12:25 time: 0.2904 data_time: 0.0170 memory: 6332 grad_norm: 7.1083 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7239 loss: 1.7239 2022/08/19 19:31:05 - mmengine - INFO - Epoch(train) [233][1900/3757] lr: 2.1530e-03 eta: 7:11:56 time: 0.2936 data_time: 0.0184 memory: 6332 grad_norm: 7.1687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5756 loss: 1.5756 2022/08/19 19:31:34 - mmengine - INFO - Epoch(train) [233][2000/3757] lr: 2.1530e-03 eta: 7:11:27 time: 0.2915 data_time: 0.0180 memory: 6332 grad_norm: 6.9582 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/08/19 19:32:04 - mmengine - INFO - Epoch(train) [233][2100/3757] lr: 2.1530e-03 eta: 7:10:57 time: 0.2901 data_time: 0.0177 memory: 6332 grad_norm: 7.2316 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8655 loss: 1.8655 2022/08/19 19:32:33 - mmengine - INFO - Epoch(train) [233][2200/3757] lr: 2.1530e-03 eta: 7:10:28 time: 0.2964 data_time: 0.0186 memory: 6332 grad_norm: 7.2734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6863 loss: 1.6863 2022/08/19 19:33:03 - mmengine - INFO - Epoch(train) [233][2300/3757] lr: 2.1530e-03 eta: 7:09:58 time: 0.2911 data_time: 0.0176 memory: 6332 grad_norm: 6.8727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/08/19 19:33:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:33:33 - mmengine - INFO - Epoch(train) [233][2400/3757] lr: 2.1530e-03 eta: 7:09:29 time: 0.2964 data_time: 0.0199 memory: 6332 grad_norm: 7.4985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3435 loss: 1.3435 2022/08/19 19:34:02 - mmengine - INFO - Epoch(train) [233][2500/3757] lr: 2.1530e-03 eta: 7:09:00 time: 0.2906 data_time: 0.0168 memory: 6332 grad_norm: 7.1973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/08/19 19:34:32 - mmengine - INFO - Epoch(train) [233][2600/3757] lr: 2.1530e-03 eta: 7:08:31 time: 0.3084 data_time: 0.0175 memory: 6332 grad_norm: 7.6049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5284 loss: 1.5284 2022/08/19 19:35:01 - mmengine - INFO - Epoch(train) [233][2700/3757] lr: 2.1530e-03 eta: 7:08:01 time: 0.2924 data_time: 0.0196 memory: 6332 grad_norm: 6.9757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/08/19 19:35:31 - mmengine - INFO - Epoch(train) [233][2800/3757] lr: 2.1530e-03 eta: 7:07:32 time: 0.2945 data_time: 0.0190 memory: 6332 grad_norm: 7.1106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/08/19 19:36:01 - mmengine - INFO - Epoch(train) [233][2900/3757] lr: 2.1530e-03 eta: 7:07:02 time: 0.2963 data_time: 0.0189 memory: 6332 grad_norm: 7.1892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5291 loss: 1.5291 2022/08/19 19:36:30 - mmengine - INFO - Epoch(train) [233][3000/3757] lr: 2.1530e-03 eta: 7:06:33 time: 0.2889 data_time: 0.0162 memory: 6332 grad_norm: 7.4231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6838 loss: 1.6838 2022/08/19 19:37:00 - mmengine - INFO - Epoch(train) [233][3100/3757] lr: 2.1530e-03 eta: 7:06:04 time: 0.2900 data_time: 0.0179 memory: 6332 grad_norm: 7.3820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/08/19 19:37:29 - mmengine - INFO - Epoch(train) [233][3200/3757] lr: 2.1530e-03 eta: 7:05:34 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 7.4188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6229 loss: 1.6229 2022/08/19 19:37:59 - mmengine - INFO - Epoch(train) [233][3300/3757] lr: 2.1530e-03 eta: 7:05:05 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 7.1817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6245 loss: 1.6245 2022/08/19 19:38:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:38:29 - mmengine - INFO - Epoch(train) [233][3400/3757] lr: 2.1530e-03 eta: 7:04:36 time: 0.2901 data_time: 0.0178 memory: 6332 grad_norm: 7.3271 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6538 loss: 1.6538 2022/08/19 19:38:58 - mmengine - INFO - Epoch(train) [233][3500/3757] lr: 2.1530e-03 eta: 7:04:06 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 7.1582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7470 loss: 1.7470 2022/08/19 19:39:28 - mmengine - INFO - Epoch(train) [233][3600/3757] lr: 2.1530e-03 eta: 7:03:37 time: 0.2882 data_time: 0.0183 memory: 6332 grad_norm: 7.4005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8919 loss: 1.8919 2022/08/19 19:39:57 - mmengine - INFO - Epoch(train) [233][3700/3757] lr: 2.1530e-03 eta: 7:03:07 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 7.4338 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7687 loss: 1.7687 2022/08/19 19:40:14 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:40:14 - mmengine - INFO - Epoch(train) [233][3757/3757] lr: 2.1530e-03 eta: 7:02:56 time: 0.2766 data_time: 0.0185 memory: 6332 grad_norm: 7.3514 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7434 loss: 1.7434 2022/08/19 19:40:46 - mmengine - INFO - Epoch(train) [234][100/3757] lr: 1.9785e-03 eta: 7:02:20 time: 0.2897 data_time: 0.0205 memory: 6332 grad_norm: 7.2909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6323 loss: 1.6323 2022/08/19 19:41:16 - mmengine - INFO - Epoch(train) [234][200/3757] lr: 1.9785e-03 eta: 7:01:51 time: 0.3035 data_time: 0.0186 memory: 6332 grad_norm: 7.3010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7326 loss: 1.7326 2022/08/19 19:41:45 - mmengine - INFO - Epoch(train) [234][300/3757] lr: 1.9785e-03 eta: 7:01:22 time: 0.2884 data_time: 0.0168 memory: 6332 grad_norm: 7.2305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6146 loss: 1.6146 2022/08/19 19:42:15 - mmengine - INFO - Epoch(train) [234][400/3757] lr: 1.9785e-03 eta: 7:00:53 time: 0.3155 data_time: 0.0174 memory: 6332 grad_norm: 7.0915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8505 loss: 1.8505 2022/08/19 19:42:45 - mmengine - INFO - Epoch(train) [234][500/3757] lr: 1.9785e-03 eta: 7:00:23 time: 0.2890 data_time: 0.0173 memory: 6332 grad_norm: 7.0698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/08/19 19:43:14 - mmengine - INFO - Epoch(train) [234][600/3757] lr: 1.9785e-03 eta: 6:59:54 time: 0.3047 data_time: 0.0160 memory: 6332 grad_norm: 7.3238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8283 loss: 1.8283 2022/08/19 19:43:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:43:44 - mmengine - INFO - Epoch(train) [234][700/3757] lr: 1.9785e-03 eta: 6:59:24 time: 0.2952 data_time: 0.0184 memory: 6332 grad_norm: 7.2966 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/08/19 19:44:13 - mmengine - INFO - Epoch(train) [234][800/3757] lr: 1.9785e-03 eta: 6:58:55 time: 0.2926 data_time: 0.0173 memory: 6332 grad_norm: 7.3355 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4868 loss: 1.4868 2022/08/19 19:44:43 - mmengine - INFO - Epoch(train) [234][900/3757] lr: 1.9785e-03 eta: 6:58:26 time: 0.2883 data_time: 0.0170 memory: 6332 grad_norm: 7.2519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7488 loss: 1.7488 2022/08/19 19:45:12 - mmengine - INFO - Epoch(train) [234][1000/3757] lr: 1.9785e-03 eta: 6:57:56 time: 0.3010 data_time: 0.0201 memory: 6332 grad_norm: 7.4140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8045 loss: 1.8045 2022/08/19 19:45:42 - mmengine - INFO - Epoch(train) [234][1100/3757] lr: 1.9785e-03 eta: 6:57:27 time: 0.2908 data_time: 0.0184 memory: 6332 grad_norm: 7.6175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7720 loss: 1.7720 2022/08/19 19:46:11 - mmengine - INFO - Epoch(train) [234][1200/3757] lr: 1.9785e-03 eta: 6:56:58 time: 0.3018 data_time: 0.0168 memory: 6332 grad_norm: 7.4656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4544 loss: 1.4544 2022/08/19 19:46:41 - mmengine - INFO - Epoch(train) [234][1300/3757] lr: 1.9785e-03 eta: 6:56:28 time: 0.2884 data_time: 0.0176 memory: 6332 grad_norm: 7.2316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/08/19 19:47:10 - mmengine - INFO - Epoch(train) [234][1400/3757] lr: 1.9785e-03 eta: 6:55:59 time: 0.2892 data_time: 0.0175 memory: 6332 grad_norm: 7.5771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5110 loss: 1.5110 2022/08/19 19:47:40 - mmengine - INFO - Epoch(train) [234][1500/3757] lr: 1.9785e-03 eta: 6:55:29 time: 0.2881 data_time: 0.0183 memory: 6332 grad_norm: 7.2018 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9898 loss: 1.9898 2022/08/19 19:48:10 - mmengine - INFO - Epoch(train) [234][1600/3757] lr: 1.9785e-03 eta: 6:55:00 time: 0.2896 data_time: 0.0169 memory: 6332 grad_norm: 7.4832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/08/19 19:48:15 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:48:39 - mmengine - INFO - Epoch(train) [234][1700/3757] lr: 1.9785e-03 eta: 6:54:31 time: 0.2909 data_time: 0.0174 memory: 6332 grad_norm: 7.1838 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3455 loss: 1.3455 2022/08/19 19:49:09 - mmengine - INFO - Epoch(train) [234][1800/3757] lr: 1.9785e-03 eta: 6:54:01 time: 0.2897 data_time: 0.0171 memory: 6332 grad_norm: 7.2237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/08/19 19:49:39 - mmengine - INFO - Epoch(train) [234][1900/3757] lr: 1.9785e-03 eta: 6:53:32 time: 0.2904 data_time: 0.0170 memory: 6332 grad_norm: 7.0118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4661 loss: 1.4661 2022/08/19 19:50:08 - mmengine - INFO - Epoch(train) [234][2000/3757] lr: 1.9785e-03 eta: 6:53:03 time: 0.2893 data_time: 0.0179 memory: 6332 grad_norm: 7.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/08/19 19:50:38 - mmengine - INFO - Epoch(train) [234][2100/3757] lr: 1.9785e-03 eta: 6:52:33 time: 0.2885 data_time: 0.0160 memory: 6332 grad_norm: 7.1404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4101 loss: 1.4101 2022/08/19 19:51:07 - mmengine - INFO - Epoch(train) [234][2200/3757] lr: 1.9785e-03 eta: 6:52:04 time: 0.2908 data_time: 0.0181 memory: 6332 grad_norm: 7.5350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/19 19:51:36 - mmengine - INFO - Epoch(train) [234][2300/3757] lr: 1.9785e-03 eta: 6:51:34 time: 0.2908 data_time: 0.0169 memory: 6332 grad_norm: 7.3263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6453 loss: 1.6453 2022/08/19 19:52:06 - mmengine - INFO - Epoch(train) [234][2400/3757] lr: 1.9785e-03 eta: 6:51:05 time: 0.3062 data_time: 0.0179 memory: 6332 grad_norm: 7.4173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6539 loss: 1.6539 2022/08/19 19:52:36 - mmengine - INFO - Epoch(train) [234][2500/3757] lr: 1.9785e-03 eta: 6:50:36 time: 0.2951 data_time: 0.0183 memory: 6332 grad_norm: 7.5690 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7073 loss: 1.7073 2022/08/19 19:53:06 - mmengine - INFO - Epoch(train) [234][2600/3757] lr: 1.9785e-03 eta: 6:50:06 time: 0.3009 data_time: 0.0196 memory: 6332 grad_norm: 7.2586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6401 loss: 1.6401 2022/08/19 19:53:11 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:53:35 - mmengine - INFO - Epoch(train) [234][2700/3757] lr: 1.9785e-03 eta: 6:49:37 time: 0.2907 data_time: 0.0165 memory: 6332 grad_norm: 7.3069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5742 loss: 1.5742 2022/08/19 19:54:05 - mmengine - INFO - Epoch(train) [234][2800/3757] lr: 1.9785e-03 eta: 6:49:08 time: 0.3020 data_time: 0.0183 memory: 6332 grad_norm: 7.4537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5899 loss: 1.5899 2022/08/19 19:54:34 - mmengine - INFO - Epoch(train) [234][2900/3757] lr: 1.9785e-03 eta: 6:48:38 time: 0.2892 data_time: 0.0173 memory: 6332 grad_norm: 7.2530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7151 loss: 1.7151 2022/08/19 19:55:04 - mmengine - INFO - Epoch(train) [234][3000/3757] lr: 1.9785e-03 eta: 6:48:09 time: 0.2979 data_time: 0.0168 memory: 6332 grad_norm: 7.3942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/08/19 19:55:33 - mmengine - INFO - Epoch(train) [234][3100/3757] lr: 1.9785e-03 eta: 6:47:39 time: 0.2885 data_time: 0.0180 memory: 6332 grad_norm: 7.5239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6466 loss: 1.6466 2022/08/19 19:56:02 - mmengine - INFO - Epoch(train) [234][3200/3757] lr: 1.9785e-03 eta: 6:47:10 time: 0.2927 data_time: 0.0190 memory: 6332 grad_norm: 7.0961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/08/19 19:56:32 - mmengine - INFO - Epoch(train) [234][3300/3757] lr: 1.9785e-03 eta: 6:46:41 time: 0.2902 data_time: 0.0180 memory: 6332 grad_norm: 7.5151 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6515 loss: 1.6515 2022/08/19 19:57:01 - mmengine - INFO - Epoch(train) [234][3400/3757] lr: 1.9785e-03 eta: 6:46:11 time: 0.2895 data_time: 0.0167 memory: 6332 grad_norm: 7.6532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7090 loss: 1.7090 2022/08/19 19:57:30 - mmengine - INFO - Epoch(train) [234][3500/3757] lr: 1.9785e-03 eta: 6:45:42 time: 0.2903 data_time: 0.0185 memory: 6332 grad_norm: 7.0160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5293 loss: 1.5293 2022/08/19 19:58:00 - mmengine - INFO - Epoch(train) [234][3600/3757] lr: 1.9785e-03 eta: 6:45:12 time: 0.2913 data_time: 0.0172 memory: 6332 grad_norm: 7.4517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6392 loss: 1.6392 2022/08/19 19:58:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:58:29 - mmengine - INFO - Epoch(train) [234][3700/3757] lr: 1.9785e-03 eta: 6:44:43 time: 0.2895 data_time: 0.0175 memory: 6332 grad_norm: 7.5115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7206 loss: 1.7206 2022/08/19 19:58:46 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 19:58:46 - mmengine - INFO - Epoch(train) [234][3757/3757] lr: 1.9785e-03 eta: 6:44:31 time: 0.2741 data_time: 0.0173 memory: 6332 grad_norm: 7.1596 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.6915 loss: 1.6915 2022/08/19 19:59:18 - mmengine - INFO - Epoch(train) [235][100/3757] lr: 1.8112e-03 eta: 6:43:56 time: 0.2899 data_time: 0.0168 memory: 6332 grad_norm: 7.1147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5305 loss: 1.5305 2022/08/19 19:59:47 - mmengine - INFO - Epoch(train) [235][200/3757] lr: 1.8112e-03 eta: 6:43:27 time: 0.3014 data_time: 0.0187 memory: 6332 grad_norm: 7.3909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6655 loss: 1.6655 2022/08/19 20:00:17 - mmengine - INFO - Epoch(train) [235][300/3757] lr: 1.8112e-03 eta: 6:42:57 time: 0.2889 data_time: 0.0171 memory: 6332 grad_norm: 7.4693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/08/19 20:00:46 - mmengine - INFO - Epoch(train) [235][400/3757] lr: 1.8112e-03 eta: 6:42:28 time: 0.2989 data_time: 0.0192 memory: 6332 grad_norm: 7.5327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0311 loss: 2.0311 2022/08/19 20:01:16 - mmengine - INFO - Epoch(train) [235][500/3757] lr: 1.8112e-03 eta: 6:41:58 time: 0.2878 data_time: 0.0172 memory: 6332 grad_norm: 7.5131 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9570 loss: 1.9570 2022/08/19 20:01:46 - mmengine - INFO - Epoch(train) [235][600/3757] lr: 1.8112e-03 eta: 6:41:29 time: 0.3088 data_time: 0.0181 memory: 6332 grad_norm: 7.4202 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6235 loss: 1.6235 2022/08/19 20:02:15 - mmengine - INFO - Epoch(train) [235][700/3757] lr: 1.8112e-03 eta: 6:41:00 time: 0.2887 data_time: 0.0179 memory: 6332 grad_norm: 7.4988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/08/19 20:02:45 - mmengine - INFO - Epoch(train) [235][800/3757] lr: 1.8112e-03 eta: 6:40:31 time: 0.3050 data_time: 0.0187 memory: 6332 grad_norm: 7.3608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5784 loss: 1.5784 2022/08/19 20:03:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:03:14 - mmengine - INFO - Epoch(train) [235][900/3757] lr: 1.8112e-03 eta: 6:40:01 time: 0.2895 data_time: 0.0171 memory: 6332 grad_norm: 7.4037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3989 loss: 1.3989 2022/08/19 20:03:44 - mmengine - INFO - Epoch(train) [235][1000/3757] lr: 1.8112e-03 eta: 6:39:32 time: 0.2961 data_time: 0.0180 memory: 6332 grad_norm: 7.2180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7077 loss: 1.7077 2022/08/19 20:04:14 - mmengine - INFO - Epoch(train) [235][1100/3757] lr: 1.8112e-03 eta: 6:39:02 time: 0.2907 data_time: 0.0189 memory: 6332 grad_norm: 7.6215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/08/19 20:04:44 - mmengine - INFO - Epoch(train) [235][1200/3757] lr: 1.8112e-03 eta: 6:38:33 time: 0.2940 data_time: 0.0172 memory: 6332 grad_norm: 7.4873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6274 loss: 1.6274 2022/08/19 20:05:13 - mmengine - INFO - Epoch(train) [235][1300/3757] lr: 1.8112e-03 eta: 6:38:04 time: 0.2961 data_time: 0.0166 memory: 6332 grad_norm: 7.5092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/08/19 20:05:43 - mmengine - INFO - Epoch(train) [235][1400/3757] lr: 1.8112e-03 eta: 6:37:34 time: 0.2899 data_time: 0.0183 memory: 6332 grad_norm: 7.4489 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4359 loss: 1.4359 2022/08/19 20:06:12 - mmengine - INFO - Epoch(train) [235][1500/3757] lr: 1.8112e-03 eta: 6:37:05 time: 0.2898 data_time: 0.0179 memory: 6332 grad_norm: 7.4531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5592 loss: 1.5592 2022/08/19 20:06:42 - mmengine - INFO - Epoch(train) [235][1600/3757] lr: 1.8112e-03 eta: 6:36:36 time: 0.2879 data_time: 0.0170 memory: 6332 grad_norm: 7.2665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5993 loss: 1.5993 2022/08/19 20:07:11 - mmengine - INFO - Epoch(train) [235][1700/3757] lr: 1.8112e-03 eta: 6:36:06 time: 0.2899 data_time: 0.0168 memory: 6332 grad_norm: 7.7448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6276 loss: 1.6276 2022/08/19 20:07:41 - mmengine - INFO - Epoch(train) [235][1800/3757] lr: 1.8112e-03 eta: 6:35:37 time: 0.2893 data_time: 0.0173 memory: 6332 grad_norm: 7.6160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8734 loss: 1.8734 2022/08/19 20:08:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:08:11 - mmengine - INFO - Epoch(train) [235][1900/3757] lr: 1.8112e-03 eta: 6:35:08 time: 0.2923 data_time: 0.0192 memory: 6332 grad_norm: 7.2850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4298 loss: 1.4298 2022/08/19 20:08:40 - mmengine - INFO - Epoch(train) [235][2000/3757] lr: 1.8112e-03 eta: 6:34:38 time: 0.2901 data_time: 0.0182 memory: 6332 grad_norm: 7.5077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/08/19 20:09:10 - mmengine - INFO - Epoch(train) [235][2100/3757] lr: 1.8112e-03 eta: 6:34:09 time: 0.2892 data_time: 0.0162 memory: 6332 grad_norm: 7.3432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6824 loss: 1.6824 2022/08/19 20:09:40 - mmengine - INFO - Epoch(train) [235][2200/3757] lr: 1.8112e-03 eta: 6:33:40 time: 0.2903 data_time: 0.0174 memory: 6332 grad_norm: 7.5665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5766 loss: 1.5766 2022/08/19 20:10:09 - mmengine - INFO - Epoch(train) [235][2300/3757] lr: 1.8112e-03 eta: 6:33:10 time: 0.2960 data_time: 0.0197 memory: 6332 grad_norm: 7.3617 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5513 loss: 1.5513 2022/08/19 20:10:39 - mmengine - INFO - Epoch(train) [235][2400/3757] lr: 1.8112e-03 eta: 6:32:41 time: 0.2892 data_time: 0.0171 memory: 6332 grad_norm: 7.2680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7918 loss: 1.7918 2022/08/19 20:11:08 - mmengine - INFO - Epoch(train) [235][2500/3757] lr: 1.8112e-03 eta: 6:32:11 time: 0.2960 data_time: 0.0197 memory: 6332 grad_norm: 7.5565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5769 loss: 1.5769 2022/08/19 20:11:38 - mmengine - INFO - Epoch(train) [235][2600/3757] lr: 1.8112e-03 eta: 6:31:42 time: 0.2877 data_time: 0.0161 memory: 6332 grad_norm: 7.4101 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5406 loss: 1.5406 2022/08/19 20:12:07 - mmengine - INFO - Epoch(train) [235][2700/3757] lr: 1.8112e-03 eta: 6:31:13 time: 0.2998 data_time: 0.0188 memory: 6332 grad_norm: 7.5730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/08/19 20:12:37 - mmengine - INFO - Epoch(train) [235][2800/3757] lr: 1.8112e-03 eta: 6:30:43 time: 0.2887 data_time: 0.0171 memory: 6332 grad_norm: 7.4141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/08/19 20:12:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:13:07 - mmengine - INFO - Epoch(train) [235][2900/3757] lr: 1.8112e-03 eta: 6:30:14 time: 0.2984 data_time: 0.0179 memory: 6332 grad_norm: 7.4497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/08/19 20:13:36 - mmengine - INFO - Epoch(train) [235][3000/3757] lr: 1.8112e-03 eta: 6:29:45 time: 0.2870 data_time: 0.0178 memory: 6332 grad_norm: 7.4899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5722 loss: 1.5722 2022/08/19 20:14:06 - mmengine - INFO - Epoch(train) [235][3100/3757] lr: 1.8112e-03 eta: 6:29:15 time: 0.2953 data_time: 0.0185 memory: 6332 grad_norm: 7.4028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5089 loss: 1.5089 2022/08/19 20:14:35 - mmengine - INFO - Epoch(train) [235][3200/3757] lr: 1.8112e-03 eta: 6:28:46 time: 0.2938 data_time: 0.0174 memory: 6332 grad_norm: 7.7086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6952 loss: 1.6952 2022/08/19 20:15:05 - mmengine - INFO - Epoch(train) [235][3300/3757] lr: 1.8112e-03 eta: 6:28:17 time: 0.2899 data_time: 0.0174 memory: 6332 grad_norm: 7.4746 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1873 loss: 2.1873 2022/08/19 20:15:35 - mmengine - INFO - Epoch(train) [235][3400/3757] lr: 1.8112e-03 eta: 6:27:47 time: 0.2971 data_time: 0.0193 memory: 6332 grad_norm: 7.4962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5419 loss: 1.5419 2022/08/19 20:16:05 - mmengine - INFO - Epoch(train) [235][3500/3757] lr: 1.8112e-03 eta: 6:27:18 time: 0.2919 data_time: 0.0189 memory: 6332 grad_norm: 7.3959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5318 loss: 1.5318 2022/08/19 20:16:34 - mmengine - INFO - Epoch(train) [235][3600/3757] lr: 1.8112e-03 eta: 6:26:49 time: 0.2933 data_time: 0.0178 memory: 6332 grad_norm: 7.3884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4557 loss: 1.4557 2022/08/19 20:17:03 - mmengine - INFO - Epoch(train) [235][3700/3757] lr: 1.8112e-03 eta: 6:26:19 time: 0.2905 data_time: 0.0179 memory: 6332 grad_norm: 7.8360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/08/19 20:17:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:17:20 - mmengine - INFO - Epoch(train) [235][3757/3757] lr: 1.8112e-03 eta: 6:26:07 time: 0.2704 data_time: 0.0157 memory: 6332 grad_norm: 7.2890 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6266 loss: 1.6266 2022/08/19 20:17:42 - mmengine - INFO - Epoch(val) [235][100/310] eta: 0:00:44 time: 0.2130 data_time: 0.1175 memory: 1147 2022/08/19 20:18:02 - mmengine - INFO - Epoch(val) [235][200/310] eta: 0:00:20 time: 0.1891 data_time: 0.0928 memory: 1147 2022/08/19 20:18:23 - mmengine - INFO - Epoch(val) [235][300/310] eta: 0:00:01 time: 0.1976 data_time: 0.1087 memory: 1147 2022/08/19 20:18:26 - mmengine - INFO - Epoch(val) [235][310/310] acc/top1: 0.6552 acc/top5: 0.8650 acc/mean1: 0.6551 2022/08/19 20:18:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_231.pth is removed 2022/08/19 20:18:30 - mmengine - INFO - The best checkpoint with 0.6552 acc/top1 at 236 epoch is saved to best_acc/top1_epoch_236.pth. 2022/08/19 20:19:01 - mmengine - INFO - Epoch(train) [236][100/3757] lr: 1.6512e-03 eta: 6:25:32 time: 0.2881 data_time: 0.0165 memory: 6332 grad_norm: 7.2540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/08/19 20:19:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:19:30 - mmengine - INFO - Epoch(train) [236][200/3757] lr: 1.6512e-03 eta: 6:25:02 time: 0.2980 data_time: 0.0186 memory: 6332 grad_norm: 7.1620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/08/19 20:20:00 - mmengine - INFO - Epoch(train) [236][300/3757] lr: 1.6512e-03 eta: 6:24:33 time: 0.2966 data_time: 0.0174 memory: 6332 grad_norm: 7.4939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7999 loss: 1.7999 2022/08/19 20:20:29 - mmengine - INFO - Epoch(train) [236][400/3757] lr: 1.6512e-03 eta: 6:24:04 time: 0.2960 data_time: 0.0190 memory: 6332 grad_norm: 7.5946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4159 loss: 1.4159 2022/08/19 20:20:59 - mmengine - INFO - Epoch(train) [236][500/3757] lr: 1.6512e-03 eta: 6:23:34 time: 0.2881 data_time: 0.0172 memory: 6332 grad_norm: 7.4182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4844 loss: 1.4844 2022/08/19 20:21:29 - mmengine - INFO - Epoch(train) [236][600/3757] lr: 1.6512e-03 eta: 6:23:05 time: 0.3020 data_time: 0.0192 memory: 6332 grad_norm: 7.3379 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5874 loss: 1.5874 2022/08/19 20:21:58 - mmengine - INFO - Epoch(train) [236][700/3757] lr: 1.6512e-03 eta: 6:22:36 time: 0.2894 data_time: 0.0159 memory: 6332 grad_norm: 7.5162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/08/19 20:22:28 - mmengine - INFO - Epoch(train) [236][800/3757] lr: 1.6512e-03 eta: 6:22:06 time: 0.3071 data_time: 0.0184 memory: 6332 grad_norm: 7.6995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/08/19 20:22:57 - mmengine - INFO - Epoch(train) [236][900/3757] lr: 1.6512e-03 eta: 6:21:37 time: 0.2876 data_time: 0.0162 memory: 6332 grad_norm: 7.4784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7213 loss: 1.7213 2022/08/19 20:23:27 - mmengine - INFO - Epoch(train) [236][1000/3757] lr: 1.6512e-03 eta: 6:21:08 time: 0.2968 data_time: 0.0191 memory: 6332 grad_norm: 7.7089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7780 loss: 1.7780 2022/08/19 20:23:56 - mmengine - INFO - Epoch(train) [236][1100/3757] lr: 1.6512e-03 eta: 6:20:38 time: 0.2891 data_time: 0.0163 memory: 6332 grad_norm: 7.5404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4042 loss: 1.4042 2022/08/19 20:23:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:24:26 - mmengine - INFO - Epoch(train) [236][1200/3757] lr: 1.6512e-03 eta: 6:20:09 time: 0.3075 data_time: 0.0179 memory: 6332 grad_norm: 7.2743 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.3968 loss: 1.3968 2022/08/19 20:24:56 - mmengine - INFO - Epoch(train) [236][1300/3757] lr: 1.6512e-03 eta: 6:19:39 time: 0.2880 data_time: 0.0171 memory: 6332 grad_norm: 7.5313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/19 20:25:25 - mmengine - INFO - Epoch(train) [236][1400/3757] lr: 1.6512e-03 eta: 6:19:10 time: 0.2976 data_time: 0.0174 memory: 6332 grad_norm: 7.3361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5339 loss: 1.5339 2022/08/19 20:25:55 - mmengine - INFO - Epoch(train) [236][1500/3757] lr: 1.6512e-03 eta: 6:18:41 time: 0.2880 data_time: 0.0169 memory: 6332 grad_norm: 7.3633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7557 loss: 1.7557 2022/08/19 20:26:24 - mmengine - INFO - Epoch(train) [236][1600/3757] lr: 1.6512e-03 eta: 6:18:11 time: 0.2900 data_time: 0.0171 memory: 6332 grad_norm: 7.6537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4701 loss: 1.4701 2022/08/19 20:26:54 - mmengine - INFO - Epoch(train) [236][1700/3757] lr: 1.6512e-03 eta: 6:17:42 time: 0.2890 data_time: 0.0170 memory: 6332 grad_norm: 7.5516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/08/19 20:27:23 - mmengine - INFO - Epoch(train) [236][1800/3757] lr: 1.6512e-03 eta: 6:17:13 time: 0.2888 data_time: 0.0178 memory: 6332 grad_norm: 7.6702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7482 loss: 1.7482 2022/08/19 20:27:53 - mmengine - INFO - Epoch(train) [236][1900/3757] lr: 1.6512e-03 eta: 6:16:43 time: 0.2890 data_time: 0.0176 memory: 6332 grad_norm: 7.4740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8152 loss: 1.8152 2022/08/19 20:28:23 - mmengine - INFO - Epoch(train) [236][2000/3757] lr: 1.6512e-03 eta: 6:16:14 time: 0.2904 data_time: 0.0165 memory: 6332 grad_norm: 7.6795 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/08/19 20:28:52 - mmengine - INFO - Epoch(train) [236][2100/3757] lr: 1.6512e-03 eta: 6:15:45 time: 0.2900 data_time: 0.0176 memory: 6332 grad_norm: 7.4527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5533 loss: 1.5533 2022/08/19 20:28:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:29:22 - mmengine - INFO - Epoch(train) [236][2200/3757] lr: 1.6512e-03 eta: 6:15:15 time: 0.2889 data_time: 0.0187 memory: 6332 grad_norm: 7.3682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/19 20:29:51 - mmengine - INFO - Epoch(train) [236][2300/3757] lr: 1.6512e-03 eta: 6:14:46 time: 0.2892 data_time: 0.0161 memory: 6332 grad_norm: 7.4926 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/08/19 20:30:21 - mmengine - INFO - Epoch(train) [236][2400/3757] lr: 1.6512e-03 eta: 6:14:16 time: 0.3030 data_time: 0.0178 memory: 6332 grad_norm: 7.2919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5175 loss: 1.5175 2022/08/19 20:30:50 - mmengine - INFO - Epoch(train) [236][2500/3757] lr: 1.6512e-03 eta: 6:13:47 time: 0.2889 data_time: 0.0175 memory: 6332 grad_norm: 7.4385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7564 loss: 1.7564 2022/08/19 20:31:20 - mmengine - INFO - Epoch(train) [236][2600/3757] lr: 1.6512e-03 eta: 6:13:18 time: 0.2957 data_time: 0.0172 memory: 6332 grad_norm: 7.6962 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/19 20:31:49 - mmengine - INFO - Epoch(train) [236][2700/3757] lr: 1.6512e-03 eta: 6:12:48 time: 0.2953 data_time: 0.0193 memory: 6332 grad_norm: 7.5112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7595 loss: 1.7595 2022/08/19 20:32:19 - mmengine - INFO - Epoch(train) [236][2800/3757] lr: 1.6512e-03 eta: 6:12:19 time: 0.2936 data_time: 0.0171 memory: 6332 grad_norm: 7.7103 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4098 loss: 1.4098 2022/08/19 20:32:48 - mmengine - INFO - Epoch(train) [236][2900/3757] lr: 1.6512e-03 eta: 6:11:50 time: 0.3050 data_time: 0.0185 memory: 6332 grad_norm: 7.9018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/08/19 20:33:18 - mmengine - INFO - Epoch(train) [236][3000/3757] lr: 1.6512e-03 eta: 6:11:20 time: 0.2894 data_time: 0.0158 memory: 6332 grad_norm: 7.2940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/08/19 20:33:47 - mmengine - INFO - Epoch(train) [236][3100/3757] lr: 1.6512e-03 eta: 6:10:51 time: 0.2967 data_time: 0.0171 memory: 6332 grad_norm: 7.3765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5247 loss: 1.5247 2022/08/19 20:33:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:34:17 - mmengine - INFO - Epoch(train) [236][3200/3757] lr: 1.6512e-03 eta: 6:10:21 time: 0.2937 data_time: 0.0190 memory: 6332 grad_norm: 7.2919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7366 loss: 1.7366 2022/08/19 20:34:47 - mmengine - INFO - Epoch(train) [236][3300/3757] lr: 1.6512e-03 eta: 6:09:52 time: 0.3002 data_time: 0.0174 memory: 6332 grad_norm: 7.4765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8938 loss: 1.8938 2022/08/19 20:35:16 - mmengine - INFO - Epoch(train) [236][3400/3757] lr: 1.6512e-03 eta: 6:09:23 time: 0.2920 data_time: 0.0175 memory: 6332 grad_norm: 7.5190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6078 loss: 1.6078 2022/08/19 20:35:46 - mmengine - INFO - Epoch(train) [236][3500/3757] lr: 1.6512e-03 eta: 6:08:53 time: 0.2879 data_time: 0.0167 memory: 6332 grad_norm: 7.7587 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9388 loss: 1.9388 2022/08/19 20:36:15 - mmengine - INFO - Epoch(train) [236][3600/3757] lr: 1.6512e-03 eta: 6:08:24 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 7.9204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7184 loss: 1.7184 2022/08/19 20:36:45 - mmengine - INFO - Epoch(train) [236][3700/3757] lr: 1.6512e-03 eta: 6:07:55 time: 0.2903 data_time: 0.0176 memory: 6332 grad_norm: 7.5268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3929 loss: 1.3929 2022/08/19 20:37:02 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:37:02 - mmengine - INFO - Epoch(train) [236][3757/3757] lr: 1.6512e-03 eta: 6:07:43 time: 0.2722 data_time: 0.0160 memory: 6332 grad_norm: 7.0725 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5172 loss: 1.5172 2022/08/19 20:37:02 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/19 20:37:36 - mmengine - INFO - Epoch(train) [237][100/3757] lr: 1.4984e-03 eta: 6:07:07 time: 0.2904 data_time: 0.0175 memory: 6332 grad_norm: 7.5505 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5647 loss: 1.5647 2022/08/19 20:38:05 - mmengine - INFO - Epoch(train) [237][200/3757] lr: 1.4984e-03 eta: 6:06:38 time: 0.2890 data_time: 0.0171 memory: 6332 grad_norm: 7.2114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/08/19 20:38:35 - mmengine - INFO - Epoch(train) [237][300/3757] lr: 1.4984e-03 eta: 6:06:09 time: 0.2898 data_time: 0.0173 memory: 6332 grad_norm: 7.6370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4806 loss: 1.4806 2022/08/19 20:38:49 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:39:04 - mmengine - INFO - Epoch(train) [237][400/3757] lr: 1.4984e-03 eta: 6:05:39 time: 0.2890 data_time: 0.0179 memory: 6332 grad_norm: 7.6043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7795 loss: 1.7795 2022/08/19 20:39:33 - mmengine - INFO - Epoch(train) [237][500/3757] lr: 1.4984e-03 eta: 6:05:10 time: 0.2902 data_time: 0.0181 memory: 6332 grad_norm: 7.3714 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5395 loss: 1.5395 2022/08/19 20:40:03 - mmengine - INFO - Epoch(train) [237][600/3757] lr: 1.4984e-03 eta: 6:04:40 time: 0.2892 data_time: 0.0172 memory: 6332 grad_norm: 7.4723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5767 loss: 1.5767 2022/08/19 20:40:32 - mmengine - INFO - Epoch(train) [237][700/3757] lr: 1.4984e-03 eta: 6:04:11 time: 0.2909 data_time: 0.0187 memory: 6332 grad_norm: 7.4427 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8118 loss: 1.8118 2022/08/19 20:41:02 - mmengine - INFO - Epoch(train) [237][800/3757] lr: 1.4984e-03 eta: 6:03:42 time: 0.3013 data_time: 0.0178 memory: 6332 grad_norm: 7.4666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6248 loss: 1.6248 2022/08/19 20:41:31 - mmengine - INFO - Epoch(train) [237][900/3757] lr: 1.4984e-03 eta: 6:03:12 time: 0.2902 data_time: 0.0168 memory: 6332 grad_norm: 7.5196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7439 loss: 1.7439 2022/08/19 20:42:01 - mmengine - INFO - Epoch(train) [237][1000/3757] lr: 1.4984e-03 eta: 6:02:43 time: 0.3043 data_time: 0.0184 memory: 6332 grad_norm: 7.4026 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7843 loss: 1.7843 2022/08/19 20:42:31 - mmengine - INFO - Epoch(train) [237][1100/3757] lr: 1.4984e-03 eta: 6:02:14 time: 0.2948 data_time: 0.0190 memory: 6332 grad_norm: 7.5516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/19 20:43:00 - mmengine - INFO - Epoch(train) [237][1200/3757] lr: 1.4984e-03 eta: 6:01:44 time: 0.2904 data_time: 0.0185 memory: 6332 grad_norm: 7.4767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8282 loss: 1.8282 2022/08/19 20:43:29 - mmengine - INFO - Epoch(train) [237][1300/3757] lr: 1.4984e-03 eta: 6:01:15 time: 0.2945 data_time: 0.0176 memory: 6332 grad_norm: 7.5577 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5994 loss: 1.5994 2022/08/19 20:43:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:43:59 - mmengine - INFO - Epoch(train) [237][1400/3757] lr: 1.4984e-03 eta: 6:00:45 time: 0.2918 data_time: 0.0184 memory: 6332 grad_norm: 7.5770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7314 loss: 1.7314 2022/08/19 20:44:29 - mmengine - INFO - Epoch(train) [237][1500/3757] lr: 1.4984e-03 eta: 6:00:16 time: 0.2905 data_time: 0.0174 memory: 6332 grad_norm: 7.7369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/08/19 20:44:58 - mmengine - INFO - Epoch(train) [237][1600/3757] lr: 1.4984e-03 eta: 5:59:47 time: 0.2929 data_time: 0.0187 memory: 6332 grad_norm: 7.6609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6983 loss: 1.6983 2022/08/19 20:45:28 - mmengine - INFO - Epoch(train) [237][1700/3757] lr: 1.4984e-03 eta: 5:59:17 time: 0.2887 data_time: 0.0162 memory: 6332 grad_norm: 7.5654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6977 loss: 1.6977 2022/08/19 20:45:57 - mmengine - INFO - Epoch(train) [237][1800/3757] lr: 1.4984e-03 eta: 5:58:48 time: 0.2884 data_time: 0.0172 memory: 6332 grad_norm: 7.6308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6412 loss: 1.6412 2022/08/19 20:46:26 - mmengine - INFO - Epoch(train) [237][1900/3757] lr: 1.4984e-03 eta: 5:58:18 time: 0.2891 data_time: 0.0167 memory: 6332 grad_norm: 7.6538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6369 loss: 1.6369 2022/08/19 20:46:56 - mmengine - INFO - Epoch(train) [237][2000/3757] lr: 1.4984e-03 eta: 5:57:49 time: 0.2889 data_time: 0.0187 memory: 6332 grad_norm: 7.2697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/08/19 20:47:25 - mmengine - INFO - Epoch(train) [237][2100/3757] lr: 1.4984e-03 eta: 5:57:20 time: 0.2897 data_time: 0.0176 memory: 6332 grad_norm: 7.4956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3155 loss: 1.3155 2022/08/19 20:47:55 - mmengine - INFO - Epoch(train) [237][2200/3757] lr: 1.4984e-03 eta: 5:56:50 time: 0.2897 data_time: 0.0176 memory: 6332 grad_norm: 7.8182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6867 loss: 1.6867 2022/08/19 20:48:24 - mmengine - INFO - Epoch(train) [237][2300/3757] lr: 1.4984e-03 eta: 5:56:21 time: 0.2892 data_time: 0.0177 memory: 6332 grad_norm: 7.4661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7932 loss: 1.7932 2022/08/19 20:48:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:48:54 - mmengine - INFO - Epoch(train) [237][2400/3757] lr: 1.4984e-03 eta: 5:55:52 time: 0.2925 data_time: 0.0170 memory: 6332 grad_norm: 7.4704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4504 loss: 1.4504 2022/08/19 20:49:23 - mmengine - INFO - Epoch(train) [237][2500/3757] lr: 1.4984e-03 eta: 5:55:22 time: 0.2887 data_time: 0.0161 memory: 6332 grad_norm: 7.6891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8928 loss: 1.8928 2022/08/19 20:49:53 - mmengine - INFO - Epoch(train) [237][2600/3757] lr: 1.4984e-03 eta: 5:54:53 time: 0.2903 data_time: 0.0179 memory: 6332 grad_norm: 7.5213 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6292 loss: 1.6292 2022/08/19 20:50:23 - mmengine - INFO - Epoch(train) [237][2700/3757] lr: 1.4984e-03 eta: 5:54:23 time: 0.2975 data_time: 0.0168 memory: 6332 grad_norm: 7.7939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7486 loss: 1.7486 2022/08/19 20:50:52 - mmengine - INFO - Epoch(train) [237][2800/3757] lr: 1.4984e-03 eta: 5:53:54 time: 0.2937 data_time: 0.0164 memory: 6332 grad_norm: 7.6079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6901 loss: 1.6901 2022/08/19 20:51:22 - mmengine - INFO - Epoch(train) [237][2900/3757] lr: 1.4984e-03 eta: 5:53:25 time: 0.3017 data_time: 0.0193 memory: 6332 grad_norm: 7.4701 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5248 loss: 1.5248 2022/08/19 20:51:51 - mmengine - INFO - Epoch(train) [237][3000/3757] lr: 1.4984e-03 eta: 5:52:55 time: 0.2893 data_time: 0.0181 memory: 6332 grad_norm: 7.6345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2201 loss: 1.2201 2022/08/19 20:52:21 - mmengine - INFO - Epoch(train) [237][3100/3757] lr: 1.4984e-03 eta: 5:52:26 time: 0.2981 data_time: 0.0189 memory: 6332 grad_norm: 7.5044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8740 loss: 1.8740 2022/08/19 20:52:50 - mmengine - INFO - Epoch(train) [237][3200/3757] lr: 1.4984e-03 eta: 5:51:57 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 7.4573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6766 loss: 1.6766 2022/08/19 20:53:20 - mmengine - INFO - Epoch(train) [237][3300/3757] lr: 1.4984e-03 eta: 5:51:27 time: 0.2921 data_time: 0.0181 memory: 6332 grad_norm: 7.5020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4321 loss: 1.4321 2022/08/19 20:53:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:53:49 - mmengine - INFO - Epoch(train) [237][3400/3757] lr: 1.4984e-03 eta: 5:50:58 time: 0.2880 data_time: 0.0175 memory: 6332 grad_norm: 7.4661 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6173 loss: 1.6173 2022/08/19 20:54:19 - mmengine - INFO - Epoch(train) [237][3500/3757] lr: 1.4984e-03 eta: 5:50:29 time: 0.2968 data_time: 0.0179 memory: 6332 grad_norm: 7.7484 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4852 loss: 1.4852 2022/08/19 20:54:48 - mmengine - INFO - Epoch(train) [237][3600/3757] lr: 1.4984e-03 eta: 5:49:59 time: 0.2895 data_time: 0.0172 memory: 6332 grad_norm: 7.8410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/08/19 20:55:19 - mmengine - INFO - Epoch(train) [237][3700/3757] lr: 1.4984e-03 eta: 5:49:30 time: 0.3213 data_time: 0.0180 memory: 6332 grad_norm: 7.6245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2870 loss: 1.2870 2022/08/19 20:55:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:55:35 - mmengine - INFO - Epoch(train) [237][3757/3757] lr: 1.4984e-03 eta: 5:49:18 time: 0.2710 data_time: 0.0149 memory: 6332 grad_norm: 7.6762 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5039 loss: 1.5039 2022/08/19 20:56:06 - mmengine - INFO - Epoch(train) [238][100/3757] lr: 1.3530e-03 eta: 5:48:43 time: 0.2902 data_time: 0.0170 memory: 6332 grad_norm: 7.6425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/08/19 20:56:36 - mmengine - INFO - Epoch(train) [238][200/3757] lr: 1.3530e-03 eta: 5:48:14 time: 0.2910 data_time: 0.0176 memory: 6332 grad_norm: 7.4254 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1822 loss: 1.1822 2022/08/19 20:57:06 - mmengine - INFO - Epoch(train) [238][300/3757] lr: 1.3530e-03 eta: 5:47:44 time: 0.2888 data_time: 0.0159 memory: 6332 grad_norm: 7.9238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5557 loss: 1.5557 2022/08/19 20:57:35 - mmengine - INFO - Epoch(train) [238][400/3757] lr: 1.3530e-03 eta: 5:47:15 time: 0.2878 data_time: 0.0177 memory: 6332 grad_norm: 7.6059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/19 20:58:04 - mmengine - INFO - Epoch(train) [238][500/3757] lr: 1.3530e-03 eta: 5:46:46 time: 0.2883 data_time: 0.0166 memory: 6332 grad_norm: 7.3825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6756 loss: 1.6756 2022/08/19 20:58:31 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 20:58:34 - mmengine - INFO - Epoch(train) [238][600/3757] lr: 1.3530e-03 eta: 5:46:16 time: 0.2972 data_time: 0.0193 memory: 6332 grad_norm: 7.4151 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5001 loss: 1.5001 2022/08/19 20:59:03 - mmengine - INFO - Epoch(train) [238][700/3757] lr: 1.3530e-03 eta: 5:45:47 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 7.7897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7395 loss: 1.7395 2022/08/19 20:59:33 - mmengine - INFO - Epoch(train) [238][800/3757] lr: 1.3530e-03 eta: 5:45:18 time: 0.3038 data_time: 0.0188 memory: 6332 grad_norm: 7.7686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/08/19 21:00:03 - mmengine - INFO - Epoch(train) [238][900/3757] lr: 1.3530e-03 eta: 5:44:48 time: 0.2907 data_time: 0.0180 memory: 6332 grad_norm: 7.7207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5309 loss: 1.5309 2022/08/19 21:00:32 - mmengine - INFO - Epoch(train) [238][1000/3757] lr: 1.3530e-03 eta: 5:44:19 time: 0.2984 data_time: 0.0187 memory: 6332 grad_norm: 7.5670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5572 loss: 1.5572 2022/08/19 21:01:02 - mmengine - INFO - Epoch(train) [238][1100/3757] lr: 1.3530e-03 eta: 5:43:49 time: 0.2916 data_time: 0.0172 memory: 6332 grad_norm: 7.4913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/08/19 21:01:32 - mmengine - INFO - Epoch(train) [238][1200/3757] lr: 1.3530e-03 eta: 5:43:20 time: 0.3210 data_time: 0.0203 memory: 6332 grad_norm: 7.5653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6619 loss: 1.6619 2022/08/19 21:02:01 - mmengine - INFO - Epoch(train) [238][1300/3757] lr: 1.3530e-03 eta: 5:42:51 time: 0.2880 data_time: 0.0177 memory: 6332 grad_norm: 7.9819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7260 loss: 1.7260 2022/08/19 21:02:31 - mmengine - INFO - Epoch(train) [238][1400/3757] lr: 1.3530e-03 eta: 5:42:21 time: 0.2948 data_time: 0.0173 memory: 6332 grad_norm: 7.5091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5405 loss: 1.5405 2022/08/19 21:03:00 - mmengine - INFO - Epoch(train) [238][1500/3757] lr: 1.3530e-03 eta: 5:41:52 time: 0.2918 data_time: 0.0170 memory: 6332 grad_norm: 7.9665 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6327 loss: 1.6327 2022/08/19 21:03:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:03:30 - mmengine - INFO - Epoch(train) [238][1600/3757] lr: 1.3530e-03 eta: 5:41:23 time: 0.3126 data_time: 0.0183 memory: 6332 grad_norm: 7.6999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/08/19 21:04:00 - mmengine - INFO - Epoch(train) [238][1700/3757] lr: 1.3530e-03 eta: 5:40:53 time: 0.2914 data_time: 0.0166 memory: 6332 grad_norm: 7.4849 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/08/19 21:04:29 - mmengine - INFO - Epoch(train) [238][1800/3757] lr: 1.3530e-03 eta: 5:40:24 time: 0.3024 data_time: 0.0187 memory: 6332 grad_norm: 7.5268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6307 loss: 1.6307 2022/08/19 21:04:59 - mmengine - INFO - Epoch(train) [238][1900/3757] lr: 1.3530e-03 eta: 5:39:55 time: 0.2892 data_time: 0.0168 memory: 6332 grad_norm: 7.4640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4922 loss: 1.4922 2022/08/19 21:05:29 - mmengine - INFO - Epoch(train) [238][2000/3757] lr: 1.3530e-03 eta: 5:39:25 time: 0.2886 data_time: 0.0163 memory: 6332 grad_norm: 7.8351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/08/19 21:05:58 - mmengine - INFO - Epoch(train) [238][2100/3757] lr: 1.3530e-03 eta: 5:38:56 time: 0.2879 data_time: 0.0174 memory: 6332 grad_norm: 7.6173 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5561 loss: 1.5561 2022/08/19 21:06:28 - mmengine - INFO - Epoch(train) [238][2200/3757] lr: 1.3530e-03 eta: 5:38:27 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 7.7623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/08/19 21:06:57 - mmengine - INFO - Epoch(train) [238][2300/3757] lr: 1.3530e-03 eta: 5:37:57 time: 0.2898 data_time: 0.0165 memory: 6332 grad_norm: 7.7693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6026 loss: 1.6026 2022/08/19 21:07:27 - mmengine - INFO - Epoch(train) [238][2400/3757] lr: 1.3530e-03 eta: 5:37:28 time: 0.2899 data_time: 0.0167 memory: 6332 grad_norm: 7.5913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6373 loss: 1.6373 2022/08/19 21:07:56 - mmengine - INFO - Epoch(train) [238][2500/3757] lr: 1.3530e-03 eta: 5:36:59 time: 0.2890 data_time: 0.0164 memory: 6332 grad_norm: 7.7097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6559 loss: 1.6559 2022/08/19 21:08:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:08:26 - mmengine - INFO - Epoch(train) [238][2600/3757] lr: 1.3530e-03 eta: 5:36:29 time: 0.2916 data_time: 0.0183 memory: 6332 grad_norm: 7.4834 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5423 loss: 1.5423 2022/08/19 21:08:55 - mmengine - INFO - Epoch(train) [238][2700/3757] lr: 1.3530e-03 eta: 5:36:00 time: 0.2890 data_time: 0.0190 memory: 6332 grad_norm: 7.6152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5815 loss: 1.5815 2022/08/19 21:09:25 - mmengine - INFO - Epoch(train) [238][2800/3757] lr: 1.3530e-03 eta: 5:35:30 time: 0.2923 data_time: 0.0154 memory: 6332 grad_norm: 7.5852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/19 21:09:55 - mmengine - INFO - Epoch(train) [238][2900/3757] lr: 1.3530e-03 eta: 5:35:01 time: 0.3006 data_time: 0.0173 memory: 6332 grad_norm: 7.3233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6030 loss: 1.6030 2022/08/19 21:10:24 - mmengine - INFO - Epoch(train) [238][3000/3757] lr: 1.3530e-03 eta: 5:34:32 time: 0.2887 data_time: 0.0172 memory: 6332 grad_norm: 7.6038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5367 loss: 1.5367 2022/08/19 21:10:54 - mmengine - INFO - Epoch(train) [238][3100/3757] lr: 1.3530e-03 eta: 5:34:02 time: 0.2944 data_time: 0.0168 memory: 6332 grad_norm: 7.6610 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5225 loss: 1.5225 2022/08/19 21:11:23 - mmengine - INFO - Epoch(train) [238][3200/3757] lr: 1.3530e-03 eta: 5:33:33 time: 0.2881 data_time: 0.0170 memory: 6332 grad_norm: 7.7774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5640 loss: 1.5640 2022/08/19 21:11:53 - mmengine - INFO - Epoch(train) [238][3300/3757] lr: 1.3530e-03 eta: 5:33:04 time: 0.2954 data_time: 0.0178 memory: 6332 grad_norm: 7.9005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7095 loss: 1.7095 2022/08/19 21:12:22 - mmengine - INFO - Epoch(train) [238][3400/3757] lr: 1.3530e-03 eta: 5:32:34 time: 0.2887 data_time: 0.0179 memory: 6332 grad_norm: 7.7710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5828 loss: 1.5828 2022/08/19 21:12:54 - mmengine - INFO - Epoch(train) [238][3500/3757] lr: 1.3530e-03 eta: 5:32:05 time: 0.3469 data_time: 0.0165 memory: 6332 grad_norm: 7.6384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7142 loss: 1.7142 2022/08/19 21:13:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:13:23 - mmengine - INFO - Epoch(train) [238][3600/3757] lr: 1.3530e-03 eta: 5:31:36 time: 0.2922 data_time: 0.0182 memory: 6332 grad_norm: 7.5447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/19 21:13:53 - mmengine - INFO - Epoch(train) [238][3700/3757] lr: 1.3530e-03 eta: 5:31:07 time: 0.3021 data_time: 0.0191 memory: 6332 grad_norm: 8.0328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6343 loss: 1.6343 2022/08/19 21:14:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:14:10 - mmengine - INFO - Epoch(train) [238][3757/3757] lr: 1.3530e-03 eta: 5:30:55 time: 0.2772 data_time: 0.0159 memory: 6332 grad_norm: 7.5225 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/08/19 21:14:42 - mmengine - INFO - Epoch(train) [239][100/3757] lr: 1.2149e-03 eta: 5:30:20 time: 0.2902 data_time: 0.0177 memory: 6332 grad_norm: 7.6749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5738 loss: 1.5738 2022/08/19 21:15:12 - mmengine - INFO - Epoch(train) [239][200/3757] lr: 1.2149e-03 eta: 5:29:51 time: 0.3046 data_time: 0.0183 memory: 6332 grad_norm: 7.7861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/08/19 21:15:42 - mmengine - INFO - Epoch(train) [239][300/3757] lr: 1.2149e-03 eta: 5:29:21 time: 0.2899 data_time: 0.0178 memory: 6332 grad_norm: 7.9032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6482 loss: 1.6482 2022/08/19 21:16:11 - mmengine - INFO - Epoch(train) [239][400/3757] lr: 1.2149e-03 eta: 5:28:52 time: 0.3021 data_time: 0.0179 memory: 6332 grad_norm: 7.3777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4828 loss: 1.4828 2022/08/19 21:16:41 - mmengine - INFO - Epoch(train) [239][500/3757] lr: 1.2149e-03 eta: 5:28:23 time: 0.2890 data_time: 0.0171 memory: 6332 grad_norm: 7.8897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5554 loss: 1.5554 2022/08/19 21:17:11 - mmengine - INFO - Epoch(train) [239][600/3757] lr: 1.2149e-03 eta: 5:27:54 time: 0.2948 data_time: 0.0188 memory: 6332 grad_norm: 7.7102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6680 loss: 1.6680 2022/08/19 21:17:41 - mmengine - INFO - Epoch(train) [239][700/3757] lr: 1.2149e-03 eta: 5:27:24 time: 0.2909 data_time: 0.0171 memory: 6332 grad_norm: 7.6628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5337 loss: 1.5337 2022/08/19 21:18:11 - mmengine - INFO - Epoch(train) [239][800/3757] lr: 1.2149e-03 eta: 5:26:55 time: 0.2954 data_time: 0.0184 memory: 6332 grad_norm: 7.7478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6995 loss: 1.6995 2022/08/19 21:18:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:18:41 - mmengine - INFO - Epoch(train) [239][900/3757] lr: 1.2149e-03 eta: 5:26:26 time: 0.2898 data_time: 0.0176 memory: 6332 grad_norm: 7.7738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/08/19 21:19:10 - mmengine - INFO - Epoch(train) [239][1000/3757] lr: 1.2149e-03 eta: 5:25:56 time: 0.2927 data_time: 0.0166 memory: 6332 grad_norm: 7.4995 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5012 loss: 1.5012 2022/08/19 21:19:40 - mmengine - INFO - Epoch(train) [239][1100/3757] lr: 1.2149e-03 eta: 5:25:27 time: 0.2926 data_time: 0.0168 memory: 6332 grad_norm: 7.7090 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6291 loss: 1.6291 2022/08/19 21:20:10 - mmengine - INFO - Epoch(train) [239][1200/3757] lr: 1.2149e-03 eta: 5:24:58 time: 0.2899 data_time: 0.0177 memory: 6332 grad_norm: 7.8274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6515 loss: 1.6515 2022/08/19 21:20:39 - mmengine - INFO - Epoch(train) [239][1300/3757] lr: 1.2149e-03 eta: 5:24:28 time: 0.2889 data_time: 0.0169 memory: 6332 grad_norm: 7.6968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5123 loss: 1.5123 2022/08/19 21:21:09 - mmengine - INFO - Epoch(train) [239][1400/3757] lr: 1.2149e-03 eta: 5:23:59 time: 0.2875 data_time: 0.0166 memory: 6332 grad_norm: 7.6920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/08/19 21:21:38 - mmengine - INFO - Epoch(train) [239][1500/3757] lr: 1.2149e-03 eta: 5:23:30 time: 0.2895 data_time: 0.0169 memory: 6332 grad_norm: 8.0869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6299 loss: 1.6299 2022/08/19 21:22:08 - mmengine - INFO - Epoch(train) [239][1600/3757] lr: 1.2149e-03 eta: 5:23:00 time: 0.2898 data_time: 0.0162 memory: 6332 grad_norm: 7.7508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5160 loss: 1.5160 2022/08/19 21:22:38 - mmengine - INFO - Epoch(train) [239][1700/3757] lr: 1.2149e-03 eta: 5:22:31 time: 0.2885 data_time: 0.0178 memory: 6332 grad_norm: 7.6910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5887 loss: 1.5887 2022/08/19 21:23:07 - mmengine - INFO - Epoch(train) [239][1800/3757] lr: 1.2149e-03 eta: 5:22:02 time: 0.2891 data_time: 0.0169 memory: 6332 grad_norm: 7.9108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4228 loss: 1.4228 2022/08/19 21:23:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:23:36 - mmengine - INFO - Epoch(train) [239][1900/3757] lr: 1.2149e-03 eta: 5:21:32 time: 0.2907 data_time: 0.0187 memory: 6332 grad_norm: 7.8674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7326 loss: 1.7326 2022/08/19 21:24:06 - mmengine - INFO - Epoch(train) [239][2000/3757] lr: 1.2149e-03 eta: 5:21:03 time: 0.2886 data_time: 0.0170 memory: 6332 grad_norm: 7.5121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3994 loss: 1.3994 2022/08/19 21:24:35 - mmengine - INFO - Epoch(train) [239][2100/3757] lr: 1.2149e-03 eta: 5:20:33 time: 0.2949 data_time: 0.0189 memory: 6332 grad_norm: 7.8529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5330 loss: 1.5330 2022/08/19 21:25:05 - mmengine - INFO - Epoch(train) [239][2200/3757] lr: 1.2149e-03 eta: 5:20:04 time: 0.2901 data_time: 0.0182 memory: 6332 grad_norm: 7.7708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5895 loss: 1.5895 2022/08/19 21:25:34 - mmengine - INFO - Epoch(train) [239][2300/3757] lr: 1.2149e-03 eta: 5:19:35 time: 0.2950 data_time: 0.0181 memory: 6332 grad_norm: 7.1710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/08/19 21:26:04 - mmengine - INFO - Epoch(train) [239][2400/3757] lr: 1.2149e-03 eta: 5:19:05 time: 0.2893 data_time: 0.0176 memory: 6332 grad_norm: 7.9573 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6218 loss: 1.6218 2022/08/19 21:26:34 - mmengine - INFO - Epoch(train) [239][2500/3757] lr: 1.2149e-03 eta: 5:18:36 time: 0.2954 data_time: 0.0181 memory: 6332 grad_norm: 7.9168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4607 loss: 1.4607 2022/08/19 21:27:03 - mmengine - INFO - Epoch(train) [239][2600/3757] lr: 1.2149e-03 eta: 5:18:07 time: 0.2905 data_time: 0.0163 memory: 6332 grad_norm: 7.9840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7529 loss: 1.7529 2022/08/19 21:27:33 - mmengine - INFO - Epoch(train) [239][2700/3757] lr: 1.2149e-03 eta: 5:17:37 time: 0.2928 data_time: 0.0199 memory: 6332 grad_norm: 7.8135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/08/19 21:28:02 - mmengine - INFO - Epoch(train) [239][2800/3757] lr: 1.2149e-03 eta: 5:17:08 time: 0.2907 data_time: 0.0169 memory: 6332 grad_norm: 7.8703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5848 loss: 1.5848 2022/08/19 21:28:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:28:32 - mmengine - INFO - Epoch(train) [239][2900/3757] lr: 1.2149e-03 eta: 5:16:39 time: 0.2928 data_time: 0.0177 memory: 6332 grad_norm: 7.9654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3521 loss: 1.3521 2022/08/19 21:29:01 - mmengine - INFO - Epoch(train) [239][3000/3757] lr: 1.2149e-03 eta: 5:16:09 time: 0.2939 data_time: 0.0172 memory: 6332 grad_norm: 7.9376 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4465 loss: 1.4465 2022/08/19 21:29:31 - mmengine - INFO - Epoch(train) [239][3100/3757] lr: 1.2149e-03 eta: 5:15:40 time: 0.2887 data_time: 0.0166 memory: 6332 grad_norm: 7.5525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2277 loss: 1.2277 2022/08/19 21:30:00 - mmengine - INFO - Epoch(train) [239][3200/3757] lr: 1.2149e-03 eta: 5:15:10 time: 0.2912 data_time: 0.0166 memory: 6332 grad_norm: 7.9347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4636 loss: 1.4636 2022/08/19 21:30:29 - mmengine - INFO - Epoch(train) [239][3300/3757] lr: 1.2149e-03 eta: 5:14:41 time: 0.2900 data_time: 0.0174 memory: 6332 grad_norm: 7.9488 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3917 loss: 1.3917 2022/08/19 21:30:59 - mmengine - INFO - Epoch(train) [239][3400/3757] lr: 1.2149e-03 eta: 5:14:12 time: 0.2904 data_time: 0.0160 memory: 6332 grad_norm: 7.9377 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5841 loss: 1.5841 2022/08/19 21:31:29 - mmengine - INFO - Epoch(train) [239][3500/3757] lr: 1.2149e-03 eta: 5:13:42 time: 0.2902 data_time: 0.0167 memory: 6332 grad_norm: 8.0556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/08/19 21:31:58 - mmengine - INFO - Epoch(train) [239][3600/3757] lr: 1.2149e-03 eta: 5:13:13 time: 0.2907 data_time: 0.0180 memory: 6332 grad_norm: 7.8687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5981 loss: 1.5981 2022/08/19 21:32:28 - mmengine - INFO - Epoch(train) [239][3700/3757] lr: 1.2149e-03 eta: 5:12:44 time: 0.2877 data_time: 0.0167 memory: 6332 grad_norm: 7.7990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3545 loss: 1.3545 2022/08/19 21:32:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:32:44 - mmengine - INFO - Epoch(train) [239][3757/3757] lr: 1.2149e-03 eta: 5:12:32 time: 0.2756 data_time: 0.0167 memory: 6332 grad_norm: 7.9410 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5521 loss: 1.5521 2022/08/19 21:33:10 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:33:17 - mmengine - INFO - Epoch(train) [240][100/3757] lr: 1.0841e-03 eta: 5:11:57 time: 0.2902 data_time: 0.0170 memory: 6332 grad_norm: 7.5382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/08/19 21:33:46 - mmengine - INFO - Epoch(train) [240][200/3757] lr: 1.0841e-03 eta: 5:11:28 time: 0.3000 data_time: 0.0182 memory: 6332 grad_norm: 7.7324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4233 loss: 1.4233 2022/08/19 21:34:16 - mmengine - INFO - Epoch(train) [240][300/3757] lr: 1.0841e-03 eta: 5:10:58 time: 0.2917 data_time: 0.0176 memory: 6332 grad_norm: 8.0776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5080 loss: 1.5080 2022/08/19 21:34:46 - mmengine - INFO - Epoch(train) [240][400/3757] lr: 1.0841e-03 eta: 5:10:29 time: 0.2927 data_time: 0.0173 memory: 6332 grad_norm: 7.6954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/08/19 21:35:15 - mmengine - INFO - Epoch(train) [240][500/3757] lr: 1.0841e-03 eta: 5:09:59 time: 0.2954 data_time: 0.0189 memory: 6332 grad_norm: 7.9412 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5478 loss: 1.5478 2022/08/19 21:35:45 - mmengine - INFO - Epoch(train) [240][600/3757] lr: 1.0841e-03 eta: 5:09:30 time: 0.2954 data_time: 0.0193 memory: 6332 grad_norm: 7.6720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3370 loss: 1.3370 2022/08/19 21:36:14 - mmengine - INFO - Epoch(train) [240][700/3757] lr: 1.0841e-03 eta: 5:09:01 time: 0.2966 data_time: 0.0195 memory: 6332 grad_norm: 7.7445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6765 loss: 1.6765 2022/08/19 21:36:44 - mmengine - INFO - Epoch(train) [240][800/3757] lr: 1.0841e-03 eta: 5:08:31 time: 0.3096 data_time: 0.0192 memory: 6332 grad_norm: 7.9354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/08/19 21:37:14 - mmengine - INFO - Epoch(train) [240][900/3757] lr: 1.0841e-03 eta: 5:08:02 time: 0.2911 data_time: 0.0168 memory: 6332 grad_norm: 7.8755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/08/19 21:37:43 - mmengine - INFO - Epoch(train) [240][1000/3757] lr: 1.0841e-03 eta: 5:07:33 time: 0.2906 data_time: 0.0179 memory: 6332 grad_norm: 7.6043 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5989 loss: 1.5989 2022/08/19 21:38:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:38:12 - mmengine - INFO - Epoch(train) [240][1100/3757] lr: 1.0841e-03 eta: 5:07:03 time: 0.2902 data_time: 0.0166 memory: 6332 grad_norm: 7.4801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2156 loss: 1.2156 2022/08/19 21:38:42 - mmengine - INFO - Epoch(train) [240][1200/3757] lr: 1.0841e-03 eta: 5:06:34 time: 0.3017 data_time: 0.0170 memory: 6332 grad_norm: 7.8444 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7024 loss: 1.7024 2022/08/19 21:39:12 - mmengine - INFO - Epoch(train) [240][1300/3757] lr: 1.0841e-03 eta: 5:06:05 time: 0.2890 data_time: 0.0167 memory: 6332 grad_norm: 7.4962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/08/19 21:39:41 - mmengine - INFO - Epoch(train) [240][1400/3757] lr: 1.0841e-03 eta: 5:05:35 time: 0.2879 data_time: 0.0172 memory: 6332 grad_norm: 7.8404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4272 loss: 1.4272 2022/08/19 21:40:11 - mmengine - INFO - Epoch(train) [240][1500/3757] lr: 1.0841e-03 eta: 5:05:06 time: 0.2903 data_time: 0.0165 memory: 6332 grad_norm: 7.5613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6289 loss: 1.6289 2022/08/19 21:40:40 - mmengine - INFO - Epoch(train) [240][1600/3757] lr: 1.0841e-03 eta: 5:04:37 time: 0.2894 data_time: 0.0174 memory: 6332 grad_norm: 8.0329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8135 loss: 1.8135 2022/08/19 21:41:10 - mmengine - INFO - Epoch(train) [240][1700/3757] lr: 1.0841e-03 eta: 5:04:07 time: 0.2886 data_time: 0.0168 memory: 6332 grad_norm: 7.6300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/08/19 21:41:39 - mmengine - INFO - Epoch(train) [240][1800/3757] lr: 1.0841e-03 eta: 5:03:38 time: 0.2892 data_time: 0.0170 memory: 6332 grad_norm: 7.6997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/08/19 21:42:09 - mmengine - INFO - Epoch(train) [240][1900/3757] lr: 1.0841e-03 eta: 5:03:08 time: 0.2899 data_time: 0.0173 memory: 6332 grad_norm: 8.1569 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7668 loss: 1.7668 2022/08/19 21:42:38 - mmengine - INFO - Epoch(train) [240][2000/3757] lr: 1.0841e-03 eta: 5:02:39 time: 0.2948 data_time: 0.0202 memory: 6332 grad_norm: 7.7709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5492 loss: 1.5492 2022/08/19 21:43:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:43:08 - mmengine - INFO - Epoch(train) [240][2100/3757] lr: 1.0841e-03 eta: 5:02:10 time: 0.2914 data_time: 0.0171 memory: 6332 grad_norm: 8.0467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7108 loss: 1.7108 2022/08/19 21:43:37 - mmengine - INFO - Epoch(train) [240][2200/3757] lr: 1.0841e-03 eta: 5:01:40 time: 0.2988 data_time: 0.0191 memory: 6332 grad_norm: 7.5384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/08/19 21:44:07 - mmengine - INFO - Epoch(train) [240][2300/3757] lr: 1.0841e-03 eta: 5:01:11 time: 0.2907 data_time: 0.0185 memory: 6332 grad_norm: 7.8747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4949 loss: 1.4949 2022/08/19 21:44:37 - mmengine - INFO - Epoch(train) [240][2400/3757] lr: 1.0841e-03 eta: 5:00:42 time: 0.3137 data_time: 0.0182 memory: 6332 grad_norm: 7.8214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5661 loss: 1.5661 2022/08/19 21:45:06 - mmengine - INFO - Epoch(train) [240][2500/3757] lr: 1.0841e-03 eta: 5:00:12 time: 0.2892 data_time: 0.0160 memory: 6332 grad_norm: 7.9374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/08/19 21:45:36 - mmengine - INFO - Epoch(train) [240][2600/3757] lr: 1.0841e-03 eta: 4:59:43 time: 0.3008 data_time: 0.0196 memory: 6332 grad_norm: 8.0204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6028 loss: 1.6028 2022/08/19 21:46:06 - mmengine - INFO - Epoch(train) [240][2700/3757] lr: 1.0841e-03 eta: 4:59:14 time: 0.2912 data_time: 0.0177 memory: 6332 grad_norm: 8.2567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6864 loss: 1.6864 2022/08/19 21:46:35 - mmengine - INFO - Epoch(train) [240][2800/3757] lr: 1.0841e-03 eta: 4:58:44 time: 0.3003 data_time: 0.0202 memory: 6332 grad_norm: 7.7967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8823 loss: 1.8823 2022/08/19 21:47:04 - mmengine - INFO - Epoch(train) [240][2900/3757] lr: 1.0841e-03 eta: 4:58:15 time: 0.2902 data_time: 0.0182 memory: 6332 grad_norm: 7.8713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3092 loss: 1.3092 2022/08/19 21:47:34 - mmengine - INFO - Epoch(train) [240][3000/3757] lr: 1.0841e-03 eta: 4:57:46 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 8.0550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6122 loss: 1.6122 2022/08/19 21:47:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:48:04 - mmengine - INFO - Epoch(train) [240][3100/3757] lr: 1.0841e-03 eta: 4:57:16 time: 0.2978 data_time: 0.0190 memory: 6332 grad_norm: 7.9182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5303 loss: 1.5303 2022/08/19 21:48:33 - mmengine - INFO - Epoch(train) [240][3200/3757] lr: 1.0841e-03 eta: 4:56:47 time: 0.2928 data_time: 0.0165 memory: 6332 grad_norm: 7.9986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6440 loss: 1.6440 2022/08/19 21:49:03 - mmengine - INFO - Epoch(train) [240][3300/3757] lr: 1.0841e-03 eta: 4:56:17 time: 0.2875 data_time: 0.0178 memory: 6332 grad_norm: 7.9058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3099 loss: 1.3099 2022/08/19 21:49:33 - mmengine - INFO - Epoch(train) [240][3400/3757] lr: 1.0841e-03 eta: 4:55:48 time: 0.2900 data_time: 0.0164 memory: 6332 grad_norm: 8.2600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5257 loss: 1.5257 2022/08/19 21:50:02 - mmengine - INFO - Epoch(train) [240][3500/3757] lr: 1.0841e-03 eta: 4:55:19 time: 0.2901 data_time: 0.0174 memory: 6332 grad_norm: 8.1068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6175 loss: 1.6175 2022/08/19 21:50:31 - mmengine - INFO - Epoch(train) [240][3600/3757] lr: 1.0841e-03 eta: 4:54:49 time: 0.2927 data_time: 0.0177 memory: 6332 grad_norm: 8.0793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9171 loss: 1.9171 2022/08/19 21:51:01 - mmengine - INFO - Epoch(train) [240][3700/3757] lr: 1.0841e-03 eta: 4:54:20 time: 0.2917 data_time: 0.0172 memory: 6332 grad_norm: 8.1597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/19 21:51:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:51:18 - mmengine - INFO - Epoch(train) [240][3757/3757] lr: 1.0841e-03 eta: 4:54:08 time: 0.2721 data_time: 0.0154 memory: 6332 grad_norm: 8.1463 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6300 loss: 1.6300 2022/08/19 21:51:18 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/19 21:51:44 - mmengine - INFO - Epoch(val) [240][100/310] eta: 0:00:48 time: 0.2305 data_time: 0.1355 memory: 1147 2022/08/19 21:52:04 - mmengine - INFO - Epoch(val) [240][200/310] eta: 0:00:20 time: 0.1845 data_time: 0.0881 memory: 1147 2022/08/19 21:52:23 - mmengine - INFO - Epoch(val) [240][300/310] eta: 0:00:01 time: 0.1344 data_time: 0.0578 memory: 1147 2022/08/19 21:52:26 - mmengine - INFO - Epoch(val) [240][310/310] acc/top1: 0.6652 acc/top5: 0.8668 acc/mean1: 0.6651 2022/08/19 21:52:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_236.pth is removed 2022/08/19 21:52:29 - mmengine - INFO - The best checkpoint with 0.6652 acc/top1 at 241 epoch is saved to best_acc/top1_epoch_241.pth. 2022/08/19 21:53:00 - mmengine - INFO - Epoch(train) [241][100/3757] lr: 9.6074e-04 eta: 4:53:33 time: 0.2882 data_time: 0.0157 memory: 6332 grad_norm: 7.7527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/08/19 21:53:29 - mmengine - INFO - Epoch(train) [241][200/3757] lr: 9.6074e-04 eta: 4:53:04 time: 0.2915 data_time: 0.0187 memory: 6332 grad_norm: 7.7614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/08/19 21:53:58 - mmengine - INFO - Epoch(train) [241][300/3757] lr: 9.6074e-04 eta: 4:52:34 time: 0.2886 data_time: 0.0169 memory: 6332 grad_norm: 7.9107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/19 21:54:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:54:28 - mmengine - INFO - Epoch(train) [241][400/3757] lr: 9.6074e-04 eta: 4:52:05 time: 0.2957 data_time: 0.0179 memory: 6332 grad_norm: 7.8480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6487 loss: 1.6487 2022/08/19 21:54:58 - mmengine - INFO - Epoch(train) [241][500/3757] lr: 9.6074e-04 eta: 4:51:36 time: 0.2903 data_time: 0.0177 memory: 6332 grad_norm: 8.3149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/08/19 21:55:27 - mmengine - INFO - Epoch(train) [241][600/3757] lr: 9.6074e-04 eta: 4:51:06 time: 0.2981 data_time: 0.0179 memory: 6332 grad_norm: 7.9009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/08/19 21:55:57 - mmengine - INFO - Epoch(train) [241][700/3757] lr: 9.6074e-04 eta: 4:50:37 time: 0.2895 data_time: 0.0167 memory: 6332 grad_norm: 7.9022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6006 loss: 1.6006 2022/08/19 21:56:26 - mmengine - INFO - Epoch(train) [241][800/3757] lr: 9.6074e-04 eta: 4:50:08 time: 0.2995 data_time: 0.0194 memory: 6332 grad_norm: 7.7845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/08/19 21:56:56 - mmengine - INFO - Epoch(train) [241][900/3757] lr: 9.6074e-04 eta: 4:49:38 time: 0.2883 data_time: 0.0165 memory: 6332 grad_norm: 7.8087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3882 loss: 1.3882 2022/08/19 21:57:26 - mmengine - INFO - Epoch(train) [241][1000/3757] lr: 9.6074e-04 eta: 4:49:09 time: 0.3091 data_time: 0.0187 memory: 6332 grad_norm: 7.8648 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6697 loss: 1.6697 2022/08/19 21:57:55 - mmengine - INFO - Epoch(train) [241][1100/3757] lr: 9.6074e-04 eta: 4:48:40 time: 0.2882 data_time: 0.0188 memory: 6332 grad_norm: 8.0616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/08/19 21:58:25 - mmengine - INFO - Epoch(train) [241][1200/3757] lr: 9.6074e-04 eta: 4:48:10 time: 0.2956 data_time: 0.0177 memory: 6332 grad_norm: 8.2505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4901 loss: 1.4901 2022/08/19 21:58:54 - mmengine - INFO - Epoch(train) [241][1300/3757] lr: 9.6074e-04 eta: 4:47:41 time: 0.2886 data_time: 0.0167 memory: 6332 grad_norm: 7.9566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4791 loss: 1.4791 2022/08/19 21:59:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 21:59:24 - mmengine - INFO - Epoch(train) [241][1400/3757] lr: 9.6074e-04 eta: 4:47:11 time: 0.2927 data_time: 0.0165 memory: 6332 grad_norm: 7.7358 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2095 loss: 1.2095 2022/08/19 21:59:54 - mmengine - INFO - Epoch(train) [241][1500/3757] lr: 9.6074e-04 eta: 4:46:42 time: 0.2902 data_time: 0.0168 memory: 6332 grad_norm: 8.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/08/19 22:00:23 - mmengine - INFO - Epoch(train) [241][1600/3757] lr: 9.6074e-04 eta: 4:46:13 time: 0.2899 data_time: 0.0174 memory: 6332 grad_norm: 8.1241 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5584 loss: 1.5584 2022/08/19 22:00:52 - mmengine - INFO - Epoch(train) [241][1700/3757] lr: 9.6074e-04 eta: 4:45:43 time: 0.2894 data_time: 0.0167 memory: 6332 grad_norm: 8.0748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/08/19 22:01:22 - mmengine - INFO - Epoch(train) [241][1800/3757] lr: 9.6074e-04 eta: 4:45:14 time: 0.2882 data_time: 0.0170 memory: 6332 grad_norm: 8.0861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6990 loss: 1.6990 2022/08/19 22:01:51 - mmengine - INFO - Epoch(train) [241][1900/3757] lr: 9.6074e-04 eta: 4:44:45 time: 0.2911 data_time: 0.0189 memory: 6332 grad_norm: 8.1750 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3169 loss: 1.3169 2022/08/19 22:02:21 - mmengine - INFO - Epoch(train) [241][2000/3757] lr: 9.6074e-04 eta: 4:44:15 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 7.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/19 22:02:50 - mmengine - INFO - Epoch(train) [241][2100/3757] lr: 9.6074e-04 eta: 4:43:46 time: 0.2870 data_time: 0.0170 memory: 6332 grad_norm: 7.9229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3525 loss: 1.3525 2022/08/19 22:03:20 - mmengine - INFO - Epoch(train) [241][2200/3757] lr: 9.6074e-04 eta: 4:43:17 time: 0.2989 data_time: 0.0201 memory: 6332 grad_norm: 8.0048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/08/19 22:03:49 - mmengine - INFO - Epoch(train) [241][2300/3757] lr: 9.6074e-04 eta: 4:42:47 time: 0.2906 data_time: 0.0180 memory: 6332 grad_norm: 7.9342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4467 loss: 1.4467 2022/08/19 22:03:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:04:19 - mmengine - INFO - Epoch(train) [241][2400/3757] lr: 9.6074e-04 eta: 4:42:18 time: 0.2999 data_time: 0.0212 memory: 6332 grad_norm: 8.0969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5479 loss: 1.5479 2022/08/19 22:04:49 - mmengine - INFO - Epoch(train) [241][2500/3757] lr: 9.6074e-04 eta: 4:41:48 time: 0.2903 data_time: 0.0176 memory: 6332 grad_norm: 8.0728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/08/19 22:05:18 - mmengine - INFO - Epoch(train) [241][2600/3757] lr: 9.6074e-04 eta: 4:41:19 time: 0.2949 data_time: 0.0186 memory: 6332 grad_norm: 7.8944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/19 22:05:48 - mmengine - INFO - Epoch(train) [241][2700/3757] lr: 9.6074e-04 eta: 4:40:50 time: 0.2903 data_time: 0.0165 memory: 6332 grad_norm: 7.8918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4148 loss: 1.4148 2022/08/19 22:06:17 - mmengine - INFO - Epoch(train) [241][2800/3757] lr: 9.6074e-04 eta: 4:40:20 time: 0.2986 data_time: 0.0184 memory: 6332 grad_norm: 8.1833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5749 loss: 1.5749 2022/08/19 22:06:47 - mmengine - INFO - Epoch(train) [241][2900/3757] lr: 9.6074e-04 eta: 4:39:51 time: 0.2897 data_time: 0.0167 memory: 6332 grad_norm: 8.1371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7076 loss: 1.7076 2022/08/19 22:07:17 - mmengine - INFO - Epoch(train) [241][3000/3757] lr: 9.6074e-04 eta: 4:39:22 time: 0.2968 data_time: 0.0180 memory: 6332 grad_norm: 7.8312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/08/19 22:07:46 - mmengine - INFO - Epoch(train) [241][3100/3757] lr: 9.6074e-04 eta: 4:38:52 time: 0.2899 data_time: 0.0174 memory: 6332 grad_norm: 8.0865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5009 loss: 1.5009 2022/08/19 22:08:16 - mmengine - INFO - Epoch(train) [241][3200/3757] lr: 9.6074e-04 eta: 4:38:23 time: 0.2918 data_time: 0.0177 memory: 6332 grad_norm: 7.9625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/08/19 22:08:45 - mmengine - INFO - Epoch(train) [241][3300/3757] lr: 9.6074e-04 eta: 4:37:54 time: 0.2944 data_time: 0.0186 memory: 6332 grad_norm: 7.9414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/08/19 22:08:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:09:15 - mmengine - INFO - Epoch(train) [241][3400/3757] lr: 9.6074e-04 eta: 4:37:24 time: 0.2880 data_time: 0.0170 memory: 6332 grad_norm: 8.2352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7238 loss: 1.7238 2022/08/19 22:09:45 - mmengine - INFO - Epoch(train) [241][3500/3757] lr: 9.6074e-04 eta: 4:36:55 time: 0.2946 data_time: 0.0188 memory: 6332 grad_norm: 7.9283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3236 loss: 1.3236 2022/08/19 22:10:15 - mmengine - INFO - Epoch(train) [241][3600/3757] lr: 9.6074e-04 eta: 4:36:26 time: 0.2913 data_time: 0.0173 memory: 6332 grad_norm: 8.2234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5577 loss: 1.5577 2022/08/19 22:10:44 - mmengine - INFO - Epoch(train) [241][3700/3757] lr: 9.6074e-04 eta: 4:35:56 time: 0.2898 data_time: 0.0177 memory: 6332 grad_norm: 7.9979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/08/19 22:11:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:11:01 - mmengine - INFO - Epoch(train) [241][3757/3757] lr: 9.6074e-04 eta: 4:35:45 time: 0.2716 data_time: 0.0152 memory: 6332 grad_norm: 7.8865 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5151 loss: 1.5151 2022/08/19 22:11:32 - mmengine - INFO - Epoch(train) [242][100/3757] lr: 8.4473e-04 eta: 4:35:10 time: 0.2895 data_time: 0.0183 memory: 6332 grad_norm: 7.6038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5247 loss: 1.5247 2022/08/19 22:12:02 - mmengine - INFO - Epoch(train) [242][200/3757] lr: 8.4473e-04 eta: 4:34:40 time: 0.2904 data_time: 0.0172 memory: 6332 grad_norm: 7.6993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4634 loss: 1.4634 2022/08/19 22:12:31 - mmengine - INFO - Epoch(train) [242][300/3757] lr: 8.4473e-04 eta: 4:34:11 time: 0.2908 data_time: 0.0194 memory: 6332 grad_norm: 7.9476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3425 loss: 1.3425 2022/08/19 22:13:00 - mmengine - INFO - Epoch(train) [242][400/3757] lr: 8.4473e-04 eta: 4:33:42 time: 0.2909 data_time: 0.0171 memory: 6332 grad_norm: 7.9037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2376 loss: 1.2376 2022/08/19 22:13:30 - mmengine - INFO - Epoch(train) [242][500/3757] lr: 8.4473e-04 eta: 4:33:12 time: 0.2901 data_time: 0.0181 memory: 6332 grad_norm: 8.2172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2563 loss: 1.2563 2022/08/19 22:13:48 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:13:59 - mmengine - INFO - Epoch(train) [242][600/3757] lr: 8.4473e-04 eta: 4:32:43 time: 0.2909 data_time: 0.0180 memory: 6332 grad_norm: 8.0201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3924 loss: 1.3924 2022/08/19 22:14:29 - mmengine - INFO - Epoch(train) [242][700/3757] lr: 8.4473e-04 eta: 4:32:13 time: 0.2944 data_time: 0.0170 memory: 6332 grad_norm: 8.3351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4741 loss: 1.4741 2022/08/19 22:14:58 - mmengine - INFO - Epoch(train) [242][800/3757] lr: 8.4473e-04 eta: 4:31:44 time: 0.2926 data_time: 0.0193 memory: 6332 grad_norm: 7.9159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/08/19 22:15:28 - mmengine - INFO - Epoch(train) [242][900/3757] lr: 8.4473e-04 eta: 4:31:15 time: 0.3062 data_time: 0.0172 memory: 6332 grad_norm: 8.2510 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6497 loss: 1.6497 2022/08/19 22:15:57 - mmengine - INFO - Epoch(train) [242][1000/3757] lr: 8.4473e-04 eta: 4:30:45 time: 0.2931 data_time: 0.0201 memory: 6332 grad_norm: 7.8148 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6664 loss: 1.6664 2022/08/19 22:16:27 - mmengine - INFO - Epoch(train) [242][1100/3757] lr: 8.4473e-04 eta: 4:30:16 time: 0.2913 data_time: 0.0188 memory: 6332 grad_norm: 8.0104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5052 loss: 1.5052 2022/08/19 22:16:56 - mmengine - INFO - Epoch(train) [242][1200/3757] lr: 8.4473e-04 eta: 4:29:47 time: 0.2905 data_time: 0.0177 memory: 6332 grad_norm: 7.8776 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4132 loss: 1.4132 2022/08/19 22:17:25 - mmengine - INFO - Epoch(train) [242][1300/3757] lr: 8.4473e-04 eta: 4:29:17 time: 0.2898 data_time: 0.0184 memory: 6332 grad_norm: 7.9719 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/08/19 22:17:55 - mmengine - INFO - Epoch(train) [242][1400/3757] lr: 8.4473e-04 eta: 4:28:48 time: 0.2880 data_time: 0.0182 memory: 6332 grad_norm: 8.1795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8840 loss: 1.8840 2022/08/19 22:18:24 - mmengine - INFO - Epoch(train) [242][1500/3757] lr: 8.4473e-04 eta: 4:28:18 time: 0.2920 data_time: 0.0178 memory: 6332 grad_norm: 8.1829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6668 loss: 1.6668 2022/08/19 22:18:43 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:18:54 - mmengine - INFO - Epoch(train) [242][1600/3757] lr: 8.4473e-04 eta: 4:27:49 time: 0.2901 data_time: 0.0175 memory: 6332 grad_norm: 8.1623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4586 loss: 1.4586 2022/08/19 22:19:24 - mmengine - INFO - Epoch(train) [242][1700/3757] lr: 8.4473e-04 eta: 4:27:20 time: 0.2886 data_time: 0.0174 memory: 6332 grad_norm: 7.9564 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4496 loss: 1.4496 2022/08/19 22:19:53 - mmengine - INFO - Epoch(train) [242][1800/3757] lr: 8.4473e-04 eta: 4:26:50 time: 0.2897 data_time: 0.0183 memory: 6332 grad_norm: 8.2019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7270 loss: 1.7270 2022/08/19 22:20:23 - mmengine - INFO - Epoch(train) [242][1900/3757] lr: 8.4473e-04 eta: 4:26:21 time: 0.2904 data_time: 0.0172 memory: 6332 grad_norm: 7.8546 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5112 loss: 1.5112 2022/08/19 22:20:52 - mmengine - INFO - Epoch(train) [242][2000/3757] lr: 8.4473e-04 eta: 4:25:52 time: 0.2915 data_time: 0.0181 memory: 6332 grad_norm: 8.0594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6114 loss: 1.6114 2022/08/19 22:21:21 - mmengine - INFO - Epoch(train) [242][2100/3757] lr: 8.4473e-04 eta: 4:25:22 time: 0.2906 data_time: 0.0176 memory: 6332 grad_norm: 7.9138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4329 loss: 1.4329 2022/08/19 22:21:51 - mmengine - INFO - Epoch(train) [242][2200/3757] lr: 8.4473e-04 eta: 4:24:53 time: 0.2973 data_time: 0.0168 memory: 6332 grad_norm: 7.8235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/08/19 22:22:20 - mmengine - INFO - Epoch(train) [242][2300/3757] lr: 8.4473e-04 eta: 4:24:23 time: 0.2901 data_time: 0.0179 memory: 6332 grad_norm: 7.6452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2729 loss: 1.2729 2022/08/19 22:22:51 - mmengine - INFO - Epoch(train) [242][2400/3757] lr: 8.4473e-04 eta: 4:23:54 time: 0.3471 data_time: 0.0172 memory: 6332 grad_norm: 8.1260 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4823 loss: 1.4823 2022/08/19 22:23:21 - mmengine - INFO - Epoch(train) [242][2500/3757] lr: 8.4473e-04 eta: 4:23:25 time: 0.2936 data_time: 0.0178 memory: 6332 grad_norm: 8.2252 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5681 loss: 1.5681 2022/08/19 22:23:40 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:23:51 - mmengine - INFO - Epoch(train) [242][2600/3757] lr: 8.4473e-04 eta: 4:22:56 time: 0.3145 data_time: 0.0174 memory: 6332 grad_norm: 7.8253 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/08/19 22:24:21 - mmengine - INFO - Epoch(train) [242][2700/3757] lr: 8.4473e-04 eta: 4:22:26 time: 0.2905 data_time: 0.0175 memory: 6332 grad_norm: 8.2312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/08/19 22:24:52 - mmengine - INFO - Epoch(train) [242][2800/3757] lr: 8.4473e-04 eta: 4:21:57 time: 0.2907 data_time: 0.0175 memory: 6332 grad_norm: 8.0896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4412 loss: 1.4412 2022/08/19 22:25:21 - mmengine - INFO - Epoch(train) [242][2900/3757] lr: 8.4473e-04 eta: 4:21:28 time: 0.2895 data_time: 0.0182 memory: 6332 grad_norm: 8.2524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/19 22:25:51 - mmengine - INFO - Epoch(train) [242][3000/3757] lr: 8.4473e-04 eta: 4:20:59 time: 0.2933 data_time: 0.0167 memory: 6332 grad_norm: 8.0304 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3968 loss: 1.3968 2022/08/19 22:26:20 - mmengine - INFO - Epoch(train) [242][3100/3757] lr: 8.4473e-04 eta: 4:20:29 time: 0.2912 data_time: 0.0178 memory: 6332 grad_norm: 8.3633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6006 loss: 1.6006 2022/08/19 22:26:49 - mmengine - INFO - Epoch(train) [242][3200/3757] lr: 8.4473e-04 eta: 4:20:00 time: 0.2957 data_time: 0.0172 memory: 6332 grad_norm: 8.1885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4232 loss: 1.4232 2022/08/19 22:27:19 - mmengine - INFO - Epoch(train) [242][3300/3757] lr: 8.4473e-04 eta: 4:19:30 time: 0.2901 data_time: 0.0171 memory: 6332 grad_norm: 8.0047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/08/19 22:27:49 - mmengine - INFO - Epoch(train) [242][3400/3757] lr: 8.4473e-04 eta: 4:19:01 time: 0.2975 data_time: 0.0175 memory: 6332 grad_norm: 7.9399 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2169 loss: 1.2169 2022/08/19 22:28:18 - mmengine - INFO - Epoch(train) [242][3500/3757] lr: 8.4473e-04 eta: 4:18:32 time: 0.2888 data_time: 0.0190 memory: 6332 grad_norm: 8.0301 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6357 loss: 1.6357 2022/08/19 22:28:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:28:48 - mmengine - INFO - Epoch(train) [242][3600/3757] lr: 8.4473e-04 eta: 4:18:02 time: 0.2897 data_time: 0.0175 memory: 6332 grad_norm: 7.9463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1505 loss: 1.1505 2022/08/19 22:29:17 - mmengine - INFO - Epoch(train) [242][3700/3757] lr: 8.4473e-04 eta: 4:17:33 time: 0.2885 data_time: 0.0181 memory: 6332 grad_norm: 7.8879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/08/19 22:29:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:29:33 - mmengine - INFO - Epoch(train) [242][3757/3757] lr: 8.4473e-04 eta: 4:17:21 time: 0.2723 data_time: 0.0154 memory: 6332 grad_norm: 8.1316 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5501 loss: 1.5501 2022/08/19 22:30:05 - mmengine - INFO - Epoch(train) [243][100/3757] lr: 7.3612e-04 eta: 4:16:46 time: 0.2914 data_time: 0.0169 memory: 6332 grad_norm: 8.2481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5112 loss: 1.5112 2022/08/19 22:30:35 - mmengine - INFO - Epoch(train) [243][200/3757] lr: 7.3612e-04 eta: 4:16:17 time: 0.2886 data_time: 0.0180 memory: 6332 grad_norm: 8.1355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6964 loss: 1.6964 2022/08/19 22:31:04 - mmengine - INFO - Epoch(train) [243][300/3757] lr: 7.3612e-04 eta: 4:15:48 time: 0.2893 data_time: 0.0172 memory: 6332 grad_norm: 8.0920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/08/19 22:31:34 - mmengine - INFO - Epoch(train) [243][400/3757] lr: 7.3612e-04 eta: 4:15:18 time: 0.2898 data_time: 0.0181 memory: 6332 grad_norm: 8.1101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4669 loss: 1.4669 2022/08/19 22:32:03 - mmengine - INFO - Epoch(train) [243][500/3757] lr: 7.3612e-04 eta: 4:14:49 time: 0.2908 data_time: 0.0177 memory: 6332 grad_norm: 7.9197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5561 loss: 1.5561 2022/08/19 22:32:33 - mmengine - INFO - Epoch(train) [243][600/3757] lr: 7.3612e-04 eta: 4:14:20 time: 0.2912 data_time: 0.0181 memory: 6332 grad_norm: 8.3206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/08/19 22:33:02 - mmengine - INFO - Epoch(train) [243][700/3757] lr: 7.3612e-04 eta: 4:13:50 time: 0.3050 data_time: 0.0184 memory: 6332 grad_norm: 8.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5985 loss: 1.5985 2022/08/19 22:33:32 - mmengine - INFO - Epoch(train) [243][800/3757] lr: 7.3612e-04 eta: 4:13:21 time: 0.2881 data_time: 0.0171 memory: 6332 grad_norm: 8.3275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4653 loss: 1.4653 2022/08/19 22:33:34 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:34:01 - mmengine - INFO - Epoch(train) [243][900/3757] lr: 7.3612e-04 eta: 4:12:52 time: 0.2960 data_time: 0.0183 memory: 6332 grad_norm: 8.1005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/08/19 22:34:31 - mmengine - INFO - Epoch(train) [243][1000/3757] lr: 7.3612e-04 eta: 4:12:22 time: 0.2893 data_time: 0.0175 memory: 6332 grad_norm: 8.2046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3072 loss: 1.3072 2022/08/19 22:35:00 - mmengine - INFO - Epoch(train) [243][1100/3757] lr: 7.3612e-04 eta: 4:11:53 time: 0.2947 data_time: 0.0176 memory: 6332 grad_norm: 7.9350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5293 loss: 1.5293 2022/08/19 22:35:29 - mmengine - INFO - Epoch(train) [243][1200/3757] lr: 7.3612e-04 eta: 4:11:23 time: 0.2909 data_time: 0.0177 memory: 6332 grad_norm: 8.1764 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5535 loss: 1.5535 2022/08/19 22:35:59 - mmengine - INFO - Epoch(train) [243][1300/3757] lr: 7.3612e-04 eta: 4:10:54 time: 0.2974 data_time: 0.0189 memory: 6332 grad_norm: 7.9717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/08/19 22:36:29 - mmengine - INFO - Epoch(train) [243][1400/3757] lr: 7.3612e-04 eta: 4:10:25 time: 0.2932 data_time: 0.0181 memory: 6332 grad_norm: 8.0250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/19 22:36:58 - mmengine - INFO - Epoch(train) [243][1500/3757] lr: 7.3612e-04 eta: 4:09:55 time: 0.2909 data_time: 0.0169 memory: 6332 grad_norm: 8.2221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4788 loss: 1.4788 2022/08/19 22:37:27 - mmengine - INFO - Epoch(train) [243][1600/3757] lr: 7.3612e-04 eta: 4:09:26 time: 0.2903 data_time: 0.0168 memory: 6332 grad_norm: 8.5390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3780 loss: 1.3780 2022/08/19 22:37:57 - mmengine - INFO - Epoch(train) [243][1700/3757] lr: 7.3612e-04 eta: 4:08:57 time: 0.2894 data_time: 0.0176 memory: 6332 grad_norm: 8.0220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/08/19 22:38:26 - mmengine - INFO - Epoch(train) [243][1800/3757] lr: 7.3612e-04 eta: 4:08:27 time: 0.2898 data_time: 0.0170 memory: 6332 grad_norm: 8.1135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4029 loss: 1.4029 2022/08/19 22:38:28 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:38:56 - mmengine - INFO - Epoch(train) [243][1900/3757] lr: 7.3612e-04 eta: 4:07:58 time: 0.2890 data_time: 0.0167 memory: 6332 grad_norm: 8.0359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5693 loss: 1.5693 2022/08/19 22:39:25 - mmengine - INFO - Epoch(train) [243][2000/3757] lr: 7.3612e-04 eta: 4:07:28 time: 0.2898 data_time: 0.0171 memory: 6332 grad_norm: 8.0198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4202 loss: 1.4202 2022/08/19 22:39:55 - mmengine - INFO - Epoch(train) [243][2100/3757] lr: 7.3612e-04 eta: 4:06:59 time: 0.2904 data_time: 0.0171 memory: 6332 grad_norm: 8.0564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/08/19 22:40:24 - mmengine - INFO - Epoch(train) [243][2200/3757] lr: 7.3612e-04 eta: 4:06:30 time: 0.2902 data_time: 0.0176 memory: 6332 grad_norm: 8.1111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5314 loss: 1.5314 2022/08/19 22:40:54 - mmengine - INFO - Epoch(train) [243][2300/3757] lr: 7.3612e-04 eta: 4:06:00 time: 0.2908 data_time: 0.0187 memory: 6332 grad_norm: 8.0237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2050 loss: 1.2050 2022/08/19 22:41:24 - mmengine - INFO - Epoch(train) [243][2400/3757] lr: 7.3612e-04 eta: 4:05:31 time: 0.2897 data_time: 0.0173 memory: 6332 grad_norm: 8.5181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5734 loss: 1.5734 2022/08/19 22:41:53 - mmengine - INFO - Epoch(train) [243][2500/3757] lr: 7.3612e-04 eta: 4:05:02 time: 0.2923 data_time: 0.0191 memory: 6332 grad_norm: 8.3032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3376 loss: 1.3376 2022/08/19 22:42:22 - mmengine - INFO - Epoch(train) [243][2600/3757] lr: 7.3612e-04 eta: 4:04:32 time: 0.2883 data_time: 0.0177 memory: 6332 grad_norm: 8.2086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/08/19 22:42:52 - mmengine - INFO - Epoch(train) [243][2700/3757] lr: 7.3612e-04 eta: 4:04:03 time: 0.2961 data_time: 0.0167 memory: 6332 grad_norm: 8.0438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3832 loss: 1.3832 2022/08/19 22:43:21 - mmengine - INFO - Epoch(train) [243][2800/3757] lr: 7.3612e-04 eta: 4:03:34 time: 0.2879 data_time: 0.0164 memory: 6332 grad_norm: 8.4412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/08/19 22:43:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:43:51 - mmengine - INFO - Epoch(train) [243][2900/3757] lr: 7.3612e-04 eta: 4:03:04 time: 0.2941 data_time: 0.0177 memory: 6332 grad_norm: 8.3857 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3964 loss: 1.3964 2022/08/19 22:44:20 - mmengine - INFO - Epoch(train) [243][3000/3757] lr: 7.3612e-04 eta: 4:02:35 time: 0.2892 data_time: 0.0168 memory: 6332 grad_norm: 8.2808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6233 loss: 1.6233 2022/08/19 22:44:50 - mmengine - INFO - Epoch(train) [243][3100/3757] lr: 7.3612e-04 eta: 4:02:05 time: 0.2950 data_time: 0.0188 memory: 6332 grad_norm: 8.1561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4492 loss: 1.4492 2022/08/19 22:45:19 - mmengine - INFO - Epoch(train) [243][3200/3757] lr: 7.3612e-04 eta: 4:01:36 time: 0.2900 data_time: 0.0167 memory: 6332 grad_norm: 8.0423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4618 loss: 1.4618 2022/08/19 22:45:49 - mmengine - INFO - Epoch(train) [243][3300/3757] lr: 7.3612e-04 eta: 4:01:07 time: 0.2973 data_time: 0.0181 memory: 6332 grad_norm: 8.3824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4106 loss: 1.4106 2022/08/19 22:46:18 - mmengine - INFO - Epoch(train) [243][3400/3757] lr: 7.3612e-04 eta: 4:00:37 time: 0.2899 data_time: 0.0171 memory: 6332 grad_norm: 8.1759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6048 loss: 1.6048 2022/08/19 22:46:48 - mmengine - INFO - Epoch(train) [243][3500/3757] lr: 7.3612e-04 eta: 4:00:08 time: 0.2882 data_time: 0.0185 memory: 6332 grad_norm: 8.5516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5425 loss: 1.5425 2022/08/19 22:47:18 - mmengine - INFO - Epoch(train) [243][3600/3757] lr: 7.3612e-04 eta: 3:59:39 time: 0.2907 data_time: 0.0173 memory: 6332 grad_norm: 8.0623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/08/19 22:47:47 - mmengine - INFO - Epoch(train) [243][3700/3757] lr: 7.3612e-04 eta: 3:59:09 time: 0.2881 data_time: 0.0168 memory: 6332 grad_norm: 8.1442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8105 loss: 1.8105 2022/08/19 22:48:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:48:04 - mmengine - INFO - Epoch(train) [243][3757/3757] lr: 7.3612e-04 eta: 3:58:58 time: 0.2736 data_time: 0.0171 memory: 6332 grad_norm: 8.1409 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4179 loss: 1.4179 2022/08/19 22:48:20 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:48:35 - mmengine - INFO - Epoch(train) [244][100/3757] lr: 6.3493e-04 eta: 3:58:23 time: 0.2902 data_time: 0.0174 memory: 6332 grad_norm: 8.4858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4516 loss: 1.4516 2022/08/19 22:49:05 - mmengine - INFO - Epoch(train) [244][200/3757] lr: 6.3493e-04 eta: 3:57:53 time: 0.2905 data_time: 0.0166 memory: 6332 grad_norm: 8.2671 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/08/19 22:49:34 - mmengine - INFO - Epoch(train) [244][300/3757] lr: 6.3493e-04 eta: 3:57:24 time: 0.3020 data_time: 0.0175 memory: 6332 grad_norm: 7.9011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/08/19 22:50:04 - mmengine - INFO - Epoch(train) [244][400/3757] lr: 6.3493e-04 eta: 3:56:55 time: 0.2913 data_time: 0.0179 memory: 6332 grad_norm: 7.8805 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4249 loss: 1.4249 2022/08/19 22:50:33 - mmengine - INFO - Epoch(train) [244][500/3757] lr: 6.3493e-04 eta: 3:56:25 time: 0.2920 data_time: 0.0197 memory: 6332 grad_norm: 8.1732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/08/19 22:51:03 - mmengine - INFO - Epoch(train) [244][600/3757] lr: 6.3493e-04 eta: 3:55:56 time: 0.2924 data_time: 0.0189 memory: 6332 grad_norm: 8.4843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6430 loss: 1.6430 2022/08/19 22:51:32 - mmengine - INFO - Epoch(train) [244][700/3757] lr: 6.3493e-04 eta: 3:55:27 time: 0.2910 data_time: 0.0169 memory: 6332 grad_norm: 8.3552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6906 loss: 1.6906 2022/08/19 22:52:02 - mmengine - INFO - Epoch(train) [244][800/3757] lr: 6.3493e-04 eta: 3:54:57 time: 0.2929 data_time: 0.0182 memory: 6332 grad_norm: 8.0947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4058 loss: 1.4058 2022/08/19 22:52:31 - mmengine - INFO - Epoch(train) [244][900/3757] lr: 6.3493e-04 eta: 3:54:28 time: 0.2915 data_time: 0.0154 memory: 6332 grad_norm: 7.9757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3554 loss: 1.3554 2022/08/19 22:53:01 - mmengine - INFO - Epoch(train) [244][1000/3757] lr: 6.3493e-04 eta: 3:53:59 time: 0.3161 data_time: 0.0191 memory: 6332 grad_norm: 8.1979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3646 loss: 1.3646 2022/08/19 22:53:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:53:31 - mmengine - INFO - Epoch(train) [244][1100/3757] lr: 6.3493e-04 eta: 3:53:29 time: 0.2899 data_time: 0.0171 memory: 6332 grad_norm: 8.4000 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8117 loss: 1.8117 2022/08/19 22:54:00 - mmengine - INFO - Epoch(train) [244][1200/3757] lr: 6.3493e-04 eta: 3:53:00 time: 0.2933 data_time: 0.0183 memory: 6332 grad_norm: 7.5981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4856 loss: 1.4856 2022/08/19 22:54:30 - mmengine - INFO - Epoch(train) [244][1300/3757] lr: 6.3493e-04 eta: 3:52:31 time: 0.2907 data_time: 0.0175 memory: 6332 grad_norm: 8.2995 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/08/19 22:54:59 - mmengine - INFO - Epoch(train) [244][1400/3757] lr: 6.3493e-04 eta: 3:52:01 time: 0.2882 data_time: 0.0179 memory: 6332 grad_norm: 8.1065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7434 loss: 1.7434 2022/08/19 22:55:28 - mmengine - INFO - Epoch(train) [244][1500/3757] lr: 6.3493e-04 eta: 3:51:32 time: 0.2886 data_time: 0.0168 memory: 6332 grad_norm: 8.2060 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3863 loss: 1.3863 2022/08/19 22:55:58 - mmengine - INFO - Epoch(train) [244][1600/3757] lr: 6.3493e-04 eta: 3:51:03 time: 0.2891 data_time: 0.0172 memory: 6332 grad_norm: 8.3334 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5037 loss: 1.5037 2022/08/19 22:56:28 - mmengine - INFO - Epoch(train) [244][1700/3757] lr: 6.3493e-04 eta: 3:50:33 time: 0.2894 data_time: 0.0176 memory: 6332 grad_norm: 7.8570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/08/19 22:56:58 - mmengine - INFO - Epoch(train) [244][1800/3757] lr: 6.3493e-04 eta: 3:50:04 time: 0.2866 data_time: 0.0172 memory: 6332 grad_norm: 8.0969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5544 loss: 1.5544 2022/08/19 22:57:28 - mmengine - INFO - Epoch(train) [244][1900/3757] lr: 6.3493e-04 eta: 3:49:35 time: 0.2894 data_time: 0.0167 memory: 6332 grad_norm: 8.1010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3264 loss: 1.3264 2022/08/19 22:57:57 - mmengine - INFO - Epoch(train) [244][2000/3757] lr: 6.3493e-04 eta: 3:49:05 time: 0.2921 data_time: 0.0175 memory: 6332 grad_norm: 8.1361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7195 loss: 1.7195 2022/08/19 22:58:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 22:58:27 - mmengine - INFO - Epoch(train) [244][2100/3757] lr: 6.3493e-04 eta: 3:48:36 time: 0.2902 data_time: 0.0173 memory: 6332 grad_norm: 8.2213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6986 loss: 1.6986 2022/08/19 22:58:57 - mmengine - INFO - Epoch(train) [244][2200/3757] lr: 6.3493e-04 eta: 3:48:07 time: 0.2907 data_time: 0.0171 memory: 6332 grad_norm: 8.2949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5352 loss: 1.5352 2022/08/19 22:59:27 - mmengine - INFO - Epoch(train) [244][2300/3757] lr: 6.3493e-04 eta: 3:47:37 time: 0.2911 data_time: 0.0169 memory: 6332 grad_norm: 8.7697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4870 loss: 1.4870 2022/08/19 22:59:56 - mmengine - INFO - Epoch(train) [244][2400/3757] lr: 6.3493e-04 eta: 3:47:08 time: 0.2890 data_time: 0.0169 memory: 6332 grad_norm: 7.7922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/08/19 23:00:26 - mmengine - INFO - Epoch(train) [244][2500/3757] lr: 6.3493e-04 eta: 3:46:39 time: 0.2965 data_time: 0.0177 memory: 6332 grad_norm: 8.5438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4715 loss: 1.4715 2022/08/19 23:00:55 - mmengine - INFO - Epoch(train) [244][2600/3757] lr: 6.3493e-04 eta: 3:46:09 time: 0.2885 data_time: 0.0169 memory: 6332 grad_norm: 8.1627 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5360 loss: 1.5360 2022/08/19 23:01:24 - mmengine - INFO - Epoch(train) [244][2700/3757] lr: 6.3493e-04 eta: 3:45:40 time: 0.2910 data_time: 0.0176 memory: 6332 grad_norm: 8.3662 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7015 loss: 1.7015 2022/08/19 23:01:54 - mmengine - INFO - Epoch(train) [244][2800/3757] lr: 6.3493e-04 eta: 3:45:10 time: 0.2926 data_time: 0.0179 memory: 6332 grad_norm: 8.5942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/08/19 23:02:23 - mmengine - INFO - Epoch(train) [244][2900/3757] lr: 6.3493e-04 eta: 3:44:41 time: 0.2907 data_time: 0.0167 memory: 6332 grad_norm: 8.1144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5285 loss: 1.5285 2022/08/19 23:02:53 - mmengine - INFO - Epoch(train) [244][3000/3757] lr: 6.3493e-04 eta: 3:44:12 time: 0.2959 data_time: 0.0188 memory: 6332 grad_norm: 8.3449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/08/19 23:03:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:03:22 - mmengine - INFO - Epoch(train) [244][3100/3757] lr: 6.3493e-04 eta: 3:43:42 time: 0.2923 data_time: 0.0172 memory: 6332 grad_norm: 8.3034 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4219 loss: 1.4219 2022/08/19 23:03:54 - mmengine - INFO - Epoch(train) [244][3200/3757] lr: 6.3493e-04 eta: 3:43:13 time: 0.3379 data_time: 0.0174 memory: 6332 grad_norm: 8.2767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5474 loss: 1.5474 2022/08/19 23:04:27 - mmengine - INFO - Epoch(train) [244][3300/3757] lr: 6.3493e-04 eta: 3:42:45 time: 0.2888 data_time: 0.0170 memory: 6332 grad_norm: 7.7795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/08/19 23:04:58 - mmengine - INFO - Epoch(train) [244][3400/3757] lr: 6.3493e-04 eta: 3:42:15 time: 0.2893 data_time: 0.0164 memory: 6332 grad_norm: 8.0745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5086 loss: 1.5086 2022/08/19 23:05:29 - mmengine - INFO - Epoch(train) [244][3500/3757] lr: 6.3493e-04 eta: 3:41:46 time: 0.2908 data_time: 0.0173 memory: 6332 grad_norm: 8.6062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/08/19 23:05:58 - mmengine - INFO - Epoch(train) [244][3600/3757] lr: 6.3493e-04 eta: 3:41:17 time: 0.2884 data_time: 0.0167 memory: 6332 grad_norm: 7.9221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6623 loss: 1.6623 2022/08/19 23:06:28 - mmengine - INFO - Epoch(train) [244][3700/3757] lr: 6.3493e-04 eta: 3:40:47 time: 0.2901 data_time: 0.0181 memory: 6332 grad_norm: 8.3957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3945 loss: 1.3945 2022/08/19 23:06:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:06:44 - mmengine - INFO - Epoch(train) [244][3757/3757] lr: 6.3493e-04 eta: 3:40:36 time: 0.2755 data_time: 0.0161 memory: 6332 grad_norm: 8.0930 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.5822 loss: 1.5822 2022/08/19 23:06:44 - mmengine - INFO - Saving checkpoint at 244 epochs 2022/08/19 23:07:20 - mmengine - INFO - Epoch(train) [245][100/3757] lr: 5.4117e-04 eta: 3:40:01 time: 0.2890 data_time: 0.0166 memory: 6332 grad_norm: 8.1295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2100 loss: 1.2100 2022/08/19 23:07:50 - mmengine - INFO - Epoch(train) [245][200/3757] lr: 5.4117e-04 eta: 3:39:31 time: 0.2903 data_time: 0.0171 memory: 6332 grad_norm: 8.7213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5499 loss: 1.5499 2022/08/19 23:08:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:08:19 - mmengine - INFO - Epoch(train) [245][300/3757] lr: 5.4117e-04 eta: 3:39:02 time: 0.2924 data_time: 0.0196 memory: 6332 grad_norm: 7.9366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5905 loss: 1.5905 2022/08/19 23:08:49 - mmengine - INFO - Epoch(train) [245][400/3757] lr: 5.4117e-04 eta: 3:38:33 time: 0.2915 data_time: 0.0171 memory: 6332 grad_norm: 8.0404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4489 loss: 1.4489 2022/08/19 23:09:18 - mmengine - INFO - Epoch(train) [245][500/3757] lr: 5.4117e-04 eta: 3:38:03 time: 0.2908 data_time: 0.0169 memory: 6332 grad_norm: 8.2375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/08/19 23:09:48 - mmengine - INFO - Epoch(train) [245][600/3757] lr: 5.4117e-04 eta: 3:37:34 time: 0.2902 data_time: 0.0169 memory: 6332 grad_norm: 8.1446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/08/19 23:10:17 - mmengine - INFO - Epoch(train) [245][700/3757] lr: 5.4117e-04 eta: 3:37:05 time: 0.2905 data_time: 0.0174 memory: 6332 grad_norm: 8.1592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4172 loss: 1.4172 2022/08/19 23:10:47 - mmengine - INFO - Epoch(train) [245][800/3757] lr: 5.4117e-04 eta: 3:36:35 time: 0.2916 data_time: 0.0181 memory: 6332 grad_norm: 7.8704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/08/19 23:11:16 - mmengine - INFO - Epoch(train) [245][900/3757] lr: 5.4117e-04 eta: 3:36:06 time: 0.2954 data_time: 0.0185 memory: 6332 grad_norm: 8.2343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3574 loss: 1.3574 2022/08/19 23:11:46 - mmengine - INFO - Epoch(train) [245][1000/3757] lr: 5.4117e-04 eta: 3:35:37 time: 0.2923 data_time: 0.0173 memory: 6332 grad_norm: 8.5401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3585 loss: 1.3585 2022/08/19 23:12:16 - mmengine - INFO - Epoch(train) [245][1100/3757] lr: 5.4117e-04 eta: 3:35:07 time: 0.3101 data_time: 0.0182 memory: 6332 grad_norm: 8.4413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5076 loss: 1.5076 2022/08/19 23:12:45 - mmengine - INFO - Epoch(train) [245][1200/3757] lr: 5.4117e-04 eta: 3:34:38 time: 0.2997 data_time: 0.0186 memory: 6332 grad_norm: 8.3695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/08/19 23:13:13 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:13:15 - mmengine - INFO - Epoch(train) [245][1300/3757] lr: 5.4117e-04 eta: 3:34:09 time: 0.2941 data_time: 0.0193 memory: 6332 grad_norm: 8.2303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5088 loss: 1.5088 2022/08/19 23:13:45 - mmengine - INFO - Epoch(train) [245][1400/3757] lr: 5.4117e-04 eta: 3:33:39 time: 0.2934 data_time: 0.0196 memory: 6332 grad_norm: 8.0636 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4048 loss: 1.4048 2022/08/19 23:14:14 - mmengine - INFO - Epoch(train) [245][1500/3757] lr: 5.4117e-04 eta: 3:33:10 time: 0.2922 data_time: 0.0187 memory: 6332 grad_norm: 8.2942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8064 loss: 1.8064 2022/08/19 23:14:44 - mmengine - INFO - Epoch(train) [245][1600/3757] lr: 5.4117e-04 eta: 3:32:41 time: 0.2949 data_time: 0.0192 memory: 6332 grad_norm: 8.4020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4598 loss: 1.4598 2022/08/19 23:15:13 - mmengine - INFO - Epoch(train) [245][1700/3757] lr: 5.4117e-04 eta: 3:32:11 time: 0.2928 data_time: 0.0175 memory: 6332 grad_norm: 8.2645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3904 loss: 1.3904 2022/08/19 23:15:43 - mmengine - INFO - Epoch(train) [245][1800/3757] lr: 5.4117e-04 eta: 3:31:42 time: 0.2934 data_time: 0.0174 memory: 6332 grad_norm: 8.0877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/08/19 23:16:12 - mmengine - INFO - Epoch(train) [245][1900/3757] lr: 5.4117e-04 eta: 3:31:13 time: 0.2902 data_time: 0.0171 memory: 6332 grad_norm: 8.1801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3382 loss: 1.3382 2022/08/19 23:16:41 - mmengine - INFO - Epoch(train) [245][2000/3757] lr: 5.4117e-04 eta: 3:30:43 time: 0.2902 data_time: 0.0180 memory: 6332 grad_norm: 8.2833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4032 loss: 1.4032 2022/08/19 23:17:11 - mmengine - INFO - Epoch(train) [245][2100/3757] lr: 5.4117e-04 eta: 3:30:14 time: 0.2900 data_time: 0.0171 memory: 6332 grad_norm: 8.5241 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4504 loss: 1.4504 2022/08/19 23:17:40 - mmengine - INFO - Epoch(train) [245][2200/3757] lr: 5.4117e-04 eta: 3:29:44 time: 0.2900 data_time: 0.0172 memory: 6332 grad_norm: 8.1362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2540 loss: 1.2540 2022/08/19 23:18:07 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:18:10 - mmengine - INFO - Epoch(train) [245][2300/3757] lr: 5.4117e-04 eta: 3:29:15 time: 0.2889 data_time: 0.0167 memory: 6332 grad_norm: 8.3771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/08/19 23:18:39 - mmengine - INFO - Epoch(train) [245][2400/3757] lr: 5.4117e-04 eta: 3:28:46 time: 0.2893 data_time: 0.0182 memory: 6332 grad_norm: 8.2885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5353 loss: 1.5353 2022/08/19 23:19:09 - mmengine - INFO - Epoch(train) [245][2500/3757] lr: 5.4117e-04 eta: 3:28:16 time: 0.2902 data_time: 0.0171 memory: 6332 grad_norm: 8.2417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/08/19 23:19:38 - mmengine - INFO - Epoch(train) [245][2600/3757] lr: 5.4117e-04 eta: 3:27:47 time: 0.2946 data_time: 0.0181 memory: 6332 grad_norm: 8.3470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8122 loss: 1.8122 2022/08/19 23:20:08 - mmengine - INFO - Epoch(train) [245][2700/3757] lr: 5.4117e-04 eta: 3:27:18 time: 0.2893 data_time: 0.0175 memory: 6332 grad_norm: 8.2831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6363 loss: 1.6363 2022/08/19 23:20:37 - mmengine - INFO - Epoch(train) [245][2800/3757] lr: 5.4117e-04 eta: 3:26:48 time: 0.2947 data_time: 0.0176 memory: 6332 grad_norm: 8.8319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/08/19 23:21:07 - mmengine - INFO - Epoch(train) [245][2900/3757] lr: 5.4117e-04 eta: 3:26:19 time: 0.2918 data_time: 0.0195 memory: 6332 grad_norm: 7.9447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4372 loss: 1.4372 2022/08/19 23:21:36 - mmengine - INFO - Epoch(train) [245][3000/3757] lr: 5.4117e-04 eta: 3:25:50 time: 0.2957 data_time: 0.0174 memory: 6332 grad_norm: 8.1869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5683 loss: 1.5683 2022/08/19 23:22:06 - mmengine - INFO - Epoch(train) [245][3100/3757] lr: 5.4117e-04 eta: 3:25:20 time: 0.2912 data_time: 0.0161 memory: 6332 grad_norm: 8.0387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/08/19 23:22:36 - mmengine - INFO - Epoch(train) [245][3200/3757] lr: 5.4117e-04 eta: 3:24:51 time: 0.2958 data_time: 0.0187 memory: 6332 grad_norm: 8.2894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/08/19 23:23:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:23:05 - mmengine - INFO - Epoch(train) [245][3300/3757] lr: 5.4117e-04 eta: 3:24:22 time: 0.2903 data_time: 0.0197 memory: 6332 grad_norm: 8.3208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5158 loss: 1.5158 2022/08/19 23:23:35 - mmengine - INFO - Epoch(train) [245][3400/3757] lr: 5.4117e-04 eta: 3:23:52 time: 0.3062 data_time: 0.0208 memory: 6332 grad_norm: 8.1637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/08/19 23:24:05 - mmengine - INFO - Epoch(train) [245][3500/3757] lr: 5.4117e-04 eta: 3:23:23 time: 0.2907 data_time: 0.0183 memory: 6332 grad_norm: 8.2520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6883 loss: 1.6883 2022/08/19 23:24:34 - mmengine - INFO - Epoch(train) [245][3600/3757] lr: 5.4117e-04 eta: 3:22:54 time: 0.3056 data_time: 0.0207 memory: 6332 grad_norm: 8.4278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/08/19 23:25:04 - mmengine - INFO - Epoch(train) [245][3700/3757] lr: 5.4117e-04 eta: 3:22:24 time: 0.2882 data_time: 0.0168 memory: 6332 grad_norm: 8.3257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/08/19 23:25:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:25:21 - mmengine - INFO - Epoch(train) [245][3757/3757] lr: 5.4117e-04 eta: 3:22:12 time: 0.2697 data_time: 0.0156 memory: 6332 grad_norm: 8.5267 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.6411 loss: 1.6411 2022/08/19 23:25:42 - mmengine - INFO - Epoch(val) [245][100/310] eta: 0:00:43 time: 0.2059 data_time: 0.1128 memory: 1147 2022/08/19 23:26:03 - mmengine - INFO - Epoch(val) [245][200/310] eta: 0:00:19 time: 0.1814 data_time: 0.0880 memory: 1147 2022/08/19 23:26:24 - mmengine - INFO - Epoch(val) [245][300/310] eta: 0:00:02 time: 0.2072 data_time: 0.1163 memory: 1147 2022/08/19 23:26:27 - mmengine - INFO - Epoch(val) [245][310/310] acc/top1: 0.6743 acc/top5: 0.8723 acc/mean1: 0.6742 2022/08/19 23:26:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_241.pth is removed 2022/08/19 23:26:30 - mmengine - INFO - The best checkpoint with 0.6743 acc/top1 at 246 epoch is saved to best_acc/top1_epoch_246.pth. 2022/08/19 23:27:00 - mmengine - INFO - Epoch(train) [246][100/3757] lr: 4.5487e-04 eta: 3:21:38 time: 0.2902 data_time: 0.0167 memory: 6332 grad_norm: 8.5321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6489 loss: 1.6489 2022/08/19 23:27:30 - mmengine - INFO - Epoch(train) [246][200/3757] lr: 4.5487e-04 eta: 3:21:08 time: 0.2888 data_time: 0.0169 memory: 6332 grad_norm: 8.2406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4398 loss: 1.4398 2022/08/19 23:27:59 - mmengine - INFO - Epoch(train) [246][300/3757] lr: 4.5487e-04 eta: 3:20:39 time: 0.2935 data_time: 0.0175 memory: 6332 grad_norm: 8.0842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5674 loss: 1.5674 2022/08/19 23:28:28 - mmengine - INFO - Epoch(train) [246][400/3757] lr: 4.5487e-04 eta: 3:20:09 time: 0.2931 data_time: 0.0172 memory: 6332 grad_norm: 8.1491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/08/19 23:28:58 - mmengine - INFO - Epoch(train) [246][500/3757] lr: 4.5487e-04 eta: 3:19:40 time: 0.2927 data_time: 0.0178 memory: 6332 grad_norm: 8.3699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/08/19 23:29:08 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:29:27 - mmengine - INFO - Epoch(train) [246][600/3757] lr: 4.5487e-04 eta: 3:19:11 time: 0.2937 data_time: 0.0179 memory: 6332 grad_norm: 8.4220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4623 loss: 1.4623 2022/08/19 23:29:57 - mmengine - INFO - Epoch(train) [246][700/3757] lr: 4.5487e-04 eta: 3:18:41 time: 0.2911 data_time: 0.0184 memory: 6332 grad_norm: 8.3792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4556 loss: 1.4556 2022/08/19 23:30:26 - mmengine - INFO - Epoch(train) [246][800/3757] lr: 4.5487e-04 eta: 3:18:12 time: 0.2909 data_time: 0.0195 memory: 6332 grad_norm: 8.4715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5506 loss: 1.5506 2022/08/19 23:30:56 - mmengine - INFO - Epoch(train) [246][900/3757] lr: 4.5487e-04 eta: 3:17:43 time: 0.2947 data_time: 0.0174 memory: 6332 grad_norm: 8.4905 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3899 loss: 1.3899 2022/08/19 23:31:25 - mmengine - INFO - Epoch(train) [246][1000/3757] lr: 4.5487e-04 eta: 3:17:13 time: 0.2893 data_time: 0.0184 memory: 6332 grad_norm: 8.2381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/08/19 23:31:55 - mmengine - INFO - Epoch(train) [246][1100/3757] lr: 4.5487e-04 eta: 3:16:44 time: 0.2913 data_time: 0.0183 memory: 6332 grad_norm: 8.3373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8010 loss: 1.8010 2022/08/19 23:32:24 - mmengine - INFO - Epoch(train) [246][1200/3757] lr: 4.5487e-04 eta: 3:16:15 time: 0.3049 data_time: 0.0192 memory: 6332 grad_norm: 8.4893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6094 loss: 1.6094 2022/08/19 23:32:54 - mmengine - INFO - Epoch(train) [246][1300/3757] lr: 4.5487e-04 eta: 3:15:45 time: 0.2946 data_time: 0.0168 memory: 6332 grad_norm: 8.4337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3840 loss: 1.3840 2022/08/19 23:33:23 - mmengine - INFO - Epoch(train) [246][1400/3757] lr: 4.5487e-04 eta: 3:15:16 time: 0.2914 data_time: 0.0175 memory: 6332 grad_norm: 8.2538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/08/19 23:33:53 - mmengine - INFO - Epoch(train) [246][1500/3757] lr: 4.5487e-04 eta: 3:14:46 time: 0.2883 data_time: 0.0182 memory: 6332 grad_norm: 8.1705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4198 loss: 1.4198 2022/08/19 23:34:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:34:22 - mmengine - INFO - Epoch(train) [246][1600/3757] lr: 4.5487e-04 eta: 3:14:17 time: 0.2903 data_time: 0.0177 memory: 6332 grad_norm: 8.2140 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5652 loss: 1.5652 2022/08/19 23:34:52 - mmengine - INFO - Epoch(train) [246][1700/3757] lr: 4.5487e-04 eta: 3:13:48 time: 0.2908 data_time: 0.0179 memory: 6332 grad_norm: 8.2351 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3319 loss: 1.3319 2022/08/19 23:35:21 - mmengine - INFO - Epoch(train) [246][1800/3757] lr: 4.5487e-04 eta: 3:13:18 time: 0.2903 data_time: 0.0176 memory: 6332 grad_norm: 8.0099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4908 loss: 1.4908 2022/08/19 23:35:51 - mmengine - INFO - Epoch(train) [246][1900/3757] lr: 4.5487e-04 eta: 3:12:49 time: 0.2900 data_time: 0.0171 memory: 6332 grad_norm: 8.3609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/08/19 23:36:20 - mmengine - INFO - Epoch(train) [246][2000/3757] lr: 4.5487e-04 eta: 3:12:20 time: 0.2894 data_time: 0.0176 memory: 6332 grad_norm: 8.0876 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4535 loss: 1.4535 2022/08/19 23:36:49 - mmengine - INFO - Epoch(train) [246][2100/3757] lr: 4.5487e-04 eta: 3:11:50 time: 0.2911 data_time: 0.0176 memory: 6332 grad_norm: 8.0916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4311 loss: 1.4311 2022/08/19 23:37:19 - mmengine - INFO - Epoch(train) [246][2200/3757] lr: 4.5487e-04 eta: 3:11:21 time: 0.2958 data_time: 0.0191 memory: 6332 grad_norm: 7.9132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3783 loss: 1.3783 2022/08/19 23:37:49 - mmengine - INFO - Epoch(train) [246][2300/3757] lr: 4.5487e-04 eta: 3:10:52 time: 0.2920 data_time: 0.0165 memory: 6332 grad_norm: 8.0782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/08/19 23:38:18 - mmengine - INFO - Epoch(train) [246][2400/3757] lr: 4.5487e-04 eta: 3:10:22 time: 0.2920 data_time: 0.0185 memory: 6332 grad_norm: 8.4063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6609 loss: 1.6609 2022/08/19 23:38:48 - mmengine - INFO - Epoch(train) [246][2500/3757] lr: 4.5487e-04 eta: 3:09:53 time: 0.2914 data_time: 0.0174 memory: 6332 grad_norm: 8.4101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7788 loss: 1.7788 2022/08/19 23:38:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:39:18 - mmengine - INFO - Epoch(train) [246][2600/3757] lr: 4.5487e-04 eta: 3:09:24 time: 0.2944 data_time: 0.0185 memory: 6332 grad_norm: 8.4859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/08/19 23:39:47 - mmengine - INFO - Epoch(train) [246][2700/3757] lr: 4.5487e-04 eta: 3:08:54 time: 0.2924 data_time: 0.0177 memory: 6332 grad_norm: 8.0558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5581 loss: 1.5581 2022/08/19 23:40:16 - mmengine - INFO - Epoch(train) [246][2800/3757] lr: 4.5487e-04 eta: 3:08:25 time: 0.2953 data_time: 0.0187 memory: 6332 grad_norm: 8.3070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/08/19 23:40:46 - mmengine - INFO - Epoch(train) [246][2900/3757] lr: 4.5487e-04 eta: 3:07:56 time: 0.2891 data_time: 0.0185 memory: 6332 grad_norm: 8.5238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2176 loss: 1.2176 2022/08/19 23:41:15 - mmengine - INFO - Epoch(train) [246][3000/3757] lr: 4.5487e-04 eta: 3:07:26 time: 0.2918 data_time: 0.0175 memory: 6332 grad_norm: 8.3246 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5493 loss: 1.5493 2022/08/19 23:41:45 - mmengine - INFO - Epoch(train) [246][3100/3757] lr: 4.5487e-04 eta: 3:06:57 time: 0.2929 data_time: 0.0179 memory: 6332 grad_norm: 8.7066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4679 loss: 1.4679 2022/08/19 23:42:14 - mmengine - INFO - Epoch(train) [246][3200/3757] lr: 4.5487e-04 eta: 3:06:27 time: 0.2884 data_time: 0.0170 memory: 6332 grad_norm: 8.6011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/08/19 23:42:43 - mmengine - INFO - Epoch(train) [246][3300/3757] lr: 4.5487e-04 eta: 3:05:58 time: 0.2897 data_time: 0.0168 memory: 6332 grad_norm: 8.5468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5210 loss: 1.5210 2022/08/19 23:43:13 - mmengine - INFO - Epoch(train) [246][3400/3757] lr: 4.5487e-04 eta: 3:05:29 time: 0.2894 data_time: 0.0166 memory: 6332 grad_norm: 8.1229 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5073 loss: 1.5073 2022/08/19 23:43:42 - mmengine - INFO - Epoch(train) [246][3500/3757] lr: 4.5487e-04 eta: 3:04:59 time: 0.2895 data_time: 0.0174 memory: 6332 grad_norm: 8.6324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2306 loss: 1.2306 2022/08/19 23:43:53 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:44:12 - mmengine - INFO - Epoch(train) [246][3600/3757] lr: 4.5487e-04 eta: 3:04:30 time: 0.2895 data_time: 0.0171 memory: 6332 grad_norm: 8.2781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4742 loss: 1.4742 2022/08/19 23:44:41 - mmengine - INFO - Epoch(train) [246][3700/3757] lr: 4.5487e-04 eta: 3:04:01 time: 0.2899 data_time: 0.0183 memory: 6332 grad_norm: 8.2573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4687 loss: 1.4687 2022/08/19 23:44:58 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:44:58 - mmengine - INFO - Epoch(train) [246][3757/3757] lr: 4.5487e-04 eta: 3:03:49 time: 0.2705 data_time: 0.0157 memory: 6332 grad_norm: 8.2602 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3347 loss: 1.3347 2022/08/19 23:45:29 - mmengine - INFO - Epoch(train) [247][100/3757] lr: 3.7602e-04 eta: 3:03:14 time: 0.2923 data_time: 0.0198 memory: 6332 grad_norm: 8.2749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7671 loss: 1.7671 2022/08/19 23:45:59 - mmengine - INFO - Epoch(train) [247][200/3757] lr: 3.7602e-04 eta: 3:02:45 time: 0.2981 data_time: 0.0169 memory: 6332 grad_norm: 7.9912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4702 loss: 1.4702 2022/08/19 23:46:28 - mmengine - INFO - Epoch(train) [247][300/3757] lr: 3.7602e-04 eta: 3:02:15 time: 0.2946 data_time: 0.0180 memory: 6332 grad_norm: 8.2023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3017 loss: 1.3017 2022/08/19 23:46:58 - mmengine - INFO - Epoch(train) [247][400/3757] lr: 3.7602e-04 eta: 3:01:46 time: 0.2890 data_time: 0.0174 memory: 6332 grad_norm: 8.1946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2350 loss: 1.2350 2022/08/19 23:47:28 - mmengine - INFO - Epoch(train) [247][500/3757] lr: 3.7602e-04 eta: 3:01:17 time: 0.2944 data_time: 0.0193 memory: 6332 grad_norm: 8.5474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/08/19 23:47:57 - mmengine - INFO - Epoch(train) [247][600/3757] lr: 3.7602e-04 eta: 3:00:47 time: 0.3079 data_time: 0.0175 memory: 6332 grad_norm: 8.1593 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5763 loss: 1.5763 2022/08/19 23:48:27 - mmengine - INFO - Epoch(train) [247][700/3757] lr: 3.7602e-04 eta: 3:00:18 time: 0.2948 data_time: 0.0179 memory: 6332 grad_norm: 8.2791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/08/19 23:48:50 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:48:57 - mmengine - INFO - Epoch(train) [247][800/3757] lr: 3.7602e-04 eta: 2:59:49 time: 0.3017 data_time: 0.0175 memory: 6332 grad_norm: 8.3514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6634 loss: 1.6634 2022/08/19 23:49:26 - mmengine - INFO - Epoch(train) [247][900/3757] lr: 3.7602e-04 eta: 2:59:19 time: 0.2914 data_time: 0.0175 memory: 6332 grad_norm: 8.3901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/08/19 23:49:56 - mmengine - INFO - Epoch(train) [247][1000/3757] lr: 3.7602e-04 eta: 2:58:50 time: 0.2958 data_time: 0.0173 memory: 6332 grad_norm: 8.4014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/08/19 23:50:25 - mmengine - INFO - Epoch(train) [247][1100/3757] lr: 3.7602e-04 eta: 2:58:21 time: 0.2953 data_time: 0.0181 memory: 6332 grad_norm: 8.4172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/08/19 23:50:55 - mmengine - INFO - Epoch(train) [247][1200/3757] lr: 3.7602e-04 eta: 2:57:51 time: 0.2879 data_time: 0.0176 memory: 6332 grad_norm: 8.3042 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5675 loss: 1.5675 2022/08/19 23:51:24 - mmengine - INFO - Epoch(train) [247][1300/3757] lr: 3.7602e-04 eta: 2:57:22 time: 0.2884 data_time: 0.0167 memory: 6332 grad_norm: 8.7161 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7988 loss: 1.7988 2022/08/19 23:51:53 - mmengine - INFO - Epoch(train) [247][1400/3757] lr: 3.7602e-04 eta: 2:56:53 time: 0.2893 data_time: 0.0180 memory: 6332 grad_norm: 8.1546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3178 loss: 1.3178 2022/08/19 23:52:23 - mmengine - INFO - Epoch(train) [247][1500/3757] lr: 3.7602e-04 eta: 2:56:23 time: 0.2896 data_time: 0.0180 memory: 6332 grad_norm: 8.2949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3335 loss: 1.3335 2022/08/19 23:52:52 - mmengine - INFO - Epoch(train) [247][1600/3757] lr: 3.7602e-04 eta: 2:55:54 time: 0.2893 data_time: 0.0170 memory: 6332 grad_norm: 8.2637 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4020 loss: 1.4020 2022/08/19 23:53:22 - mmengine - INFO - Epoch(train) [247][1700/3757] lr: 3.7602e-04 eta: 2:55:25 time: 0.2900 data_time: 0.0170 memory: 6332 grad_norm: 8.1292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/19 23:53:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:53:51 - mmengine - INFO - Epoch(train) [247][1800/3757] lr: 3.7602e-04 eta: 2:54:55 time: 0.2874 data_time: 0.0173 memory: 6332 grad_norm: 8.5519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4795 loss: 1.4795 2022/08/19 23:54:21 - mmengine - INFO - Epoch(train) [247][1900/3757] lr: 3.7602e-04 eta: 2:54:26 time: 0.2926 data_time: 0.0189 memory: 6332 grad_norm: 8.3377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/08/19 23:54:50 - mmengine - INFO - Epoch(train) [247][2000/3757] lr: 3.7602e-04 eta: 2:53:57 time: 0.2918 data_time: 0.0162 memory: 6332 grad_norm: 8.5378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3102 loss: 1.3102 2022/08/19 23:55:20 - mmengine - INFO - Epoch(train) [247][2100/3757] lr: 3.7602e-04 eta: 2:53:27 time: 0.2969 data_time: 0.0181 memory: 6332 grad_norm: 8.3985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/08/19 23:55:49 - mmengine - INFO - Epoch(train) [247][2200/3757] lr: 3.7602e-04 eta: 2:52:58 time: 0.2915 data_time: 0.0178 memory: 6332 grad_norm: 8.1656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/08/19 23:56:19 - mmengine - INFO - Epoch(train) [247][2300/3757] lr: 3.7602e-04 eta: 2:52:29 time: 0.2951 data_time: 0.0185 memory: 6332 grad_norm: 8.4364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6680 loss: 1.6680 2022/08/19 23:56:49 - mmengine - INFO - Epoch(train) [247][2400/3757] lr: 3.7602e-04 eta: 2:51:59 time: 0.2979 data_time: 0.0170 memory: 6332 grad_norm: 8.3679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5050 loss: 1.5050 2022/08/19 23:57:18 - mmengine - INFO - Epoch(train) [247][2500/3757] lr: 3.7602e-04 eta: 2:51:30 time: 0.2955 data_time: 0.0174 memory: 6332 grad_norm: 8.5238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/08/19 23:57:48 - mmengine - INFO - Epoch(train) [247][2600/3757] lr: 3.7602e-04 eta: 2:51:00 time: 0.2923 data_time: 0.0177 memory: 6332 grad_norm: 8.4973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4689 loss: 1.4689 2022/08/19 23:58:18 - mmengine - INFO - Epoch(train) [247][2700/3757] lr: 3.7602e-04 eta: 2:50:31 time: 0.2982 data_time: 0.0186 memory: 6332 grad_norm: 8.2838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1845 loss: 1.1845 2022/08/19 23:58:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/19 23:58:48 - mmengine - INFO - Epoch(train) [247][2800/3757] lr: 3.7602e-04 eta: 2:50:02 time: 0.2910 data_time: 0.0177 memory: 6332 grad_norm: 8.3101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4975 loss: 1.4975 2022/08/19 23:59:17 - mmengine - INFO - Epoch(train) [247][2900/3757] lr: 3.7602e-04 eta: 2:49:33 time: 0.2971 data_time: 0.0165 memory: 6332 grad_norm: 8.6025 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6255 loss: 1.6255 2022/08/19 23:59:47 - mmengine - INFO - Epoch(train) [247][3000/3757] lr: 3.7602e-04 eta: 2:49:03 time: 0.2999 data_time: 0.0174 memory: 6332 grad_norm: 8.7544 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3157 loss: 1.3157 2022/08/20 00:00:19 - mmengine - INFO - Epoch(train) [247][3100/3757] lr: 3.7602e-04 eta: 2:48:34 time: 0.2970 data_time: 0.0182 memory: 6332 grad_norm: 8.3702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7170 loss: 1.7170 2022/08/20 00:00:48 - mmengine - INFO - Epoch(train) [247][3200/3757] lr: 3.7602e-04 eta: 2:48:05 time: 0.2900 data_time: 0.0169 memory: 6332 grad_norm: 8.5539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5107 loss: 1.5107 2022/08/20 00:01:18 - mmengine - INFO - Epoch(train) [247][3300/3757] lr: 3.7602e-04 eta: 2:47:35 time: 0.2957 data_time: 0.0187 memory: 6332 grad_norm: 8.2035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5231 loss: 1.5231 2022/08/20 00:01:47 - mmengine - INFO - Epoch(train) [247][3400/3757] lr: 3.7602e-04 eta: 2:47:06 time: 0.2893 data_time: 0.0171 memory: 6332 grad_norm: 8.2117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/08/20 00:02:17 - mmengine - INFO - Epoch(train) [247][3500/3757] lr: 3.7602e-04 eta: 2:46:37 time: 0.2968 data_time: 0.0191 memory: 6332 grad_norm: 8.4903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4981 loss: 1.4981 2022/08/20 00:02:47 - mmengine - INFO - Epoch(train) [247][3600/3757] lr: 3.7602e-04 eta: 2:46:07 time: 0.2896 data_time: 0.0160 memory: 6332 grad_norm: 8.8677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6426 loss: 1.6426 2022/08/20 00:03:16 - mmengine - INFO - Epoch(train) [247][3700/3757] lr: 3.7602e-04 eta: 2:45:38 time: 0.2945 data_time: 0.0174 memory: 6332 grad_norm: 8.4824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3060 loss: 1.3060 2022/08/20 00:03:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:03:33 - mmengine - INFO - Epoch(train) [247][3757/3757] lr: 3.7602e-04 eta: 2:45:26 time: 0.2738 data_time: 0.0167 memory: 6332 grad_norm: 8.4061 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3876 loss: 1.3876 2022/08/20 00:03:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:04:04 - mmengine - INFO - Epoch(train) [248][100/3757] lr: 3.0465e-04 eta: 2:44:52 time: 0.2905 data_time: 0.0169 memory: 6332 grad_norm: 8.5268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/08/20 00:04:34 - mmengine - INFO - Epoch(train) [248][200/3757] lr: 3.0465e-04 eta: 2:44:22 time: 0.2897 data_time: 0.0171 memory: 6332 grad_norm: 8.3624 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3343 loss: 1.3343 2022/08/20 00:05:03 - mmengine - INFO - Epoch(train) [248][300/3757] lr: 3.0465e-04 eta: 2:43:53 time: 0.2898 data_time: 0.0177 memory: 6332 grad_norm: 8.5277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/08/20 00:05:33 - mmengine - INFO - Epoch(train) [248][400/3757] lr: 3.0465e-04 eta: 2:43:24 time: 0.2893 data_time: 0.0170 memory: 6332 grad_norm: 8.0275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3745 loss: 1.3745 2022/08/20 00:06:02 - mmengine - INFO - Epoch(train) [248][500/3757] lr: 3.0465e-04 eta: 2:42:54 time: 0.2900 data_time: 0.0189 memory: 6332 grad_norm: 8.5188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4485 loss: 1.4485 2022/08/20 00:06:32 - mmengine - INFO - Epoch(train) [248][600/3757] lr: 3.0465e-04 eta: 2:42:25 time: 0.2942 data_time: 0.0186 memory: 6332 grad_norm: 8.2047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5699 loss: 1.5699 2022/08/20 00:07:01 - mmengine - INFO - Epoch(train) [248][700/3757] lr: 3.0465e-04 eta: 2:41:56 time: 0.2930 data_time: 0.0184 memory: 6332 grad_norm: 8.2609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6829 loss: 1.6829 2022/08/20 00:07:31 - mmengine - INFO - Epoch(train) [248][800/3757] lr: 3.0465e-04 eta: 2:41:26 time: 0.2908 data_time: 0.0159 memory: 6332 grad_norm: 8.2345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3311 loss: 1.3311 2022/08/20 00:08:01 - mmengine - INFO - Epoch(train) [248][900/3757] lr: 3.0465e-04 eta: 2:40:57 time: 0.3019 data_time: 0.0186 memory: 6332 grad_norm: 8.4561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6592 loss: 1.6592 2022/08/20 00:08:30 - mmengine - INFO - Epoch(train) [248][1000/3757] lr: 3.0465e-04 eta: 2:40:28 time: 0.2910 data_time: 0.0175 memory: 6332 grad_norm: 7.9467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/08/20 00:08:37 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:09:00 - mmengine - INFO - Epoch(train) [248][1100/3757] lr: 3.0465e-04 eta: 2:39:58 time: 0.2940 data_time: 0.0183 memory: 6332 grad_norm: 8.2525 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/08/20 00:09:29 - mmengine - INFO - Epoch(train) [248][1200/3757] lr: 3.0465e-04 eta: 2:39:29 time: 0.2921 data_time: 0.0170 memory: 6332 grad_norm: 8.2757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3409 loss: 1.3409 2022/08/20 00:09:59 - mmengine - INFO - Epoch(train) [248][1300/3757] lr: 3.0465e-04 eta: 2:38:59 time: 0.2958 data_time: 0.0196 memory: 6332 grad_norm: 8.6216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/08/20 00:10:28 - mmengine - INFO - Epoch(train) [248][1400/3757] lr: 3.0465e-04 eta: 2:38:30 time: 0.2911 data_time: 0.0174 memory: 6332 grad_norm: 8.4382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6346 loss: 1.6346 2022/08/20 00:10:58 - mmengine - INFO - Epoch(train) [248][1500/3757] lr: 3.0465e-04 eta: 2:38:01 time: 0.2914 data_time: 0.0189 memory: 6332 grad_norm: 8.3174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3773 loss: 1.3773 2022/08/20 00:11:28 - mmengine - INFO - Epoch(train) [248][1600/3757] lr: 3.0465e-04 eta: 2:37:31 time: 0.2921 data_time: 0.0161 memory: 6332 grad_norm: 8.3663 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4451 loss: 1.4451 2022/08/20 00:11:57 - mmengine - INFO - Epoch(train) [248][1700/3757] lr: 3.0465e-04 eta: 2:37:02 time: 0.2895 data_time: 0.0170 memory: 6332 grad_norm: 8.5439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/08/20 00:12:26 - mmengine - INFO - Epoch(train) [248][1800/3757] lr: 3.0465e-04 eta: 2:36:33 time: 0.2896 data_time: 0.0169 memory: 6332 grad_norm: 8.2139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2061 loss: 1.2061 2022/08/20 00:12:56 - mmengine - INFO - Epoch(train) [248][1900/3757] lr: 3.0465e-04 eta: 2:36:03 time: 0.2897 data_time: 0.0168 memory: 6332 grad_norm: 8.4767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4575 loss: 1.4575 2022/08/20 00:13:26 - mmengine - INFO - Epoch(train) [248][2000/3757] lr: 3.0465e-04 eta: 2:35:34 time: 0.2887 data_time: 0.0162 memory: 6332 grad_norm: 8.2710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3275 loss: 1.3275 2022/08/20 00:13:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:13:55 - mmengine - INFO - Epoch(train) [248][2100/3757] lr: 3.0465e-04 eta: 2:35:05 time: 0.2894 data_time: 0.0170 memory: 6332 grad_norm: 8.5830 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4060 loss: 1.4060 2022/08/20 00:14:25 - mmengine - INFO - Epoch(train) [248][2200/3757] lr: 3.0465e-04 eta: 2:34:35 time: 0.2912 data_time: 0.0181 memory: 6332 grad_norm: 8.5739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/08/20 00:14:54 - mmengine - INFO - Epoch(train) [248][2300/3757] lr: 3.0465e-04 eta: 2:34:06 time: 0.2908 data_time: 0.0187 memory: 6332 grad_norm: 8.6219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5157 loss: 1.5157 2022/08/20 00:15:24 - mmengine - INFO - Epoch(train) [248][2400/3757] lr: 3.0465e-04 eta: 2:33:37 time: 0.2900 data_time: 0.0162 memory: 6332 grad_norm: 8.2317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/08/20 00:15:53 - mmengine - INFO - Epoch(train) [248][2500/3757] lr: 3.0465e-04 eta: 2:33:07 time: 0.2906 data_time: 0.0179 memory: 6332 grad_norm: 8.5531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6410 loss: 1.6410 2022/08/20 00:16:23 - mmengine - INFO - Epoch(train) [248][2600/3757] lr: 3.0465e-04 eta: 2:32:38 time: 0.2916 data_time: 0.0169 memory: 6332 grad_norm: 8.6803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4684 loss: 1.4684 2022/08/20 00:16:52 - mmengine - INFO - Epoch(train) [248][2700/3757] lr: 3.0465e-04 eta: 2:32:09 time: 0.2900 data_time: 0.0169 memory: 6332 grad_norm: 8.4164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2027 loss: 1.2027 2022/08/20 00:17:22 - mmengine - INFO - Epoch(train) [248][2800/3757] lr: 3.0465e-04 eta: 2:31:39 time: 0.2970 data_time: 0.0204 memory: 6332 grad_norm: 8.5515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4075 loss: 1.4075 2022/08/20 00:17:52 - mmengine - INFO - Epoch(train) [248][2900/3757] lr: 3.0465e-04 eta: 2:31:10 time: 0.2910 data_time: 0.0174 memory: 6332 grad_norm: 8.3286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2665 loss: 1.2665 2022/08/20 00:18:21 - mmengine - INFO - Epoch(train) [248][3000/3757] lr: 3.0465e-04 eta: 2:30:41 time: 0.2978 data_time: 0.0189 memory: 6332 grad_norm: 8.4051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/08/20 00:18:27 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:18:51 - mmengine - INFO - Epoch(train) [248][3100/3757] lr: 3.0465e-04 eta: 2:30:11 time: 0.2902 data_time: 0.0175 memory: 6332 grad_norm: 8.6221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/08/20 00:19:21 - mmengine - INFO - Epoch(train) [248][3200/3757] lr: 3.0465e-04 eta: 2:29:42 time: 0.2952 data_time: 0.0179 memory: 6332 grad_norm: 8.6288 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4903 loss: 1.4903 2022/08/20 00:19:50 - mmengine - INFO - Epoch(train) [248][3300/3757] lr: 3.0465e-04 eta: 2:29:13 time: 0.2907 data_time: 0.0171 memory: 6332 grad_norm: 8.2485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2808 loss: 1.2808 2022/08/20 00:20:20 - mmengine - INFO - Epoch(train) [248][3400/3757] lr: 3.0465e-04 eta: 2:28:43 time: 0.2913 data_time: 0.0183 memory: 6332 grad_norm: 8.4456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5972 loss: 1.5972 2022/08/20 00:20:50 - mmengine - INFO - Epoch(train) [248][3500/3757] lr: 3.0465e-04 eta: 2:28:14 time: 0.2901 data_time: 0.0174 memory: 6332 grad_norm: 8.4981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/08/20 00:21:19 - mmengine - INFO - Epoch(train) [248][3600/3757] lr: 3.0465e-04 eta: 2:27:45 time: 0.2922 data_time: 0.0197 memory: 6332 grad_norm: 8.1441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1668 loss: 1.1668 2022/08/20 00:21:49 - mmengine - INFO - Epoch(train) [248][3700/3757] lr: 3.0465e-04 eta: 2:27:15 time: 0.2992 data_time: 0.0174 memory: 6332 grad_norm: 8.5183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/08/20 00:22:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:22:05 - mmengine - INFO - Epoch(train) [248][3757/3757] lr: 3.0465e-04 eta: 2:27:04 time: 0.2713 data_time: 0.0151 memory: 6332 grad_norm: 8.5649 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3911 loss: 1.3911 2022/08/20 00:22:05 - mmengine - INFO - Saving checkpoint at 248 epochs 2022/08/20 00:22:41 - mmengine - INFO - Epoch(train) [249][100/3757] lr: 2.4076e-04 eta: 2:26:29 time: 0.3035 data_time: 0.0177 memory: 6332 grad_norm: 8.1291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/20 00:23:10 - mmengine - INFO - Epoch(train) [249][200/3757] lr: 2.4076e-04 eta: 2:25:59 time: 0.2908 data_time: 0.0192 memory: 6332 grad_norm: 8.2092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6308 loss: 1.6308 2022/08/20 00:23:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:23:40 - mmengine - INFO - Epoch(train) [249][300/3757] lr: 2.4076e-04 eta: 2:25:30 time: 0.3103 data_time: 0.0170 memory: 6332 grad_norm: 8.4092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/08/20 00:24:10 - mmengine - INFO - Epoch(train) [249][400/3757] lr: 2.4076e-04 eta: 2:25:01 time: 0.2940 data_time: 0.0184 memory: 6332 grad_norm: 8.4894 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/08/20 00:24:39 - mmengine - INFO - Epoch(train) [249][500/3757] lr: 2.4076e-04 eta: 2:24:31 time: 0.2945 data_time: 0.0166 memory: 6332 grad_norm: 8.6320 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5396 loss: 1.5396 2022/08/20 00:25:09 - mmengine - INFO - Epoch(train) [249][600/3757] lr: 2.4076e-04 eta: 2:24:02 time: 0.2912 data_time: 0.0171 memory: 6332 grad_norm: 8.3646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2761 loss: 1.2761 2022/08/20 00:25:39 - mmengine - INFO - Epoch(train) [249][700/3757] lr: 2.4076e-04 eta: 2:23:33 time: 0.2964 data_time: 0.0190 memory: 6332 grad_norm: 8.7042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/08/20 00:26:08 - mmengine - INFO - Epoch(train) [249][800/3757] lr: 2.4076e-04 eta: 2:23:03 time: 0.2897 data_time: 0.0172 memory: 6332 grad_norm: 8.7402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3472 loss: 1.3472 2022/08/20 00:26:38 - mmengine - INFO - Epoch(train) [249][900/3757] lr: 2.4076e-04 eta: 2:22:34 time: 0.2904 data_time: 0.0174 memory: 6332 grad_norm: 8.4086 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6436 loss: 1.6436 2022/08/20 00:27:07 - mmengine - INFO - Epoch(train) [249][1000/3757] lr: 2.4076e-04 eta: 2:22:05 time: 0.2918 data_time: 0.0172 memory: 6332 grad_norm: 8.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2718 loss: 1.2718 2022/08/20 00:27:37 - mmengine - INFO - Epoch(train) [249][1100/3757] lr: 2.4076e-04 eta: 2:21:35 time: 0.2908 data_time: 0.0176 memory: 6332 grad_norm: 8.5032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/08/20 00:28:06 - mmengine - INFO - Epoch(train) [249][1200/3757] lr: 2.4076e-04 eta: 2:21:06 time: 0.2896 data_time: 0.0173 memory: 6332 grad_norm: 8.7474 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1858 loss: 1.1858 2022/08/20 00:28:25 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:28:36 - mmengine - INFO - Epoch(train) [249][1300/3757] lr: 2.4076e-04 eta: 2:20:37 time: 0.2895 data_time: 0.0176 memory: 6332 grad_norm: 8.3460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5683 loss: 1.5683 2022/08/20 00:29:05 - mmengine - INFO - Epoch(train) [249][1400/3757] lr: 2.4076e-04 eta: 2:20:07 time: 0.2893 data_time: 0.0166 memory: 6332 grad_norm: 8.3460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6196 loss: 1.6196 2022/08/20 00:29:35 - mmengine - INFO - Epoch(train) [249][1500/3757] lr: 2.4076e-04 eta: 2:19:38 time: 0.2919 data_time: 0.0180 memory: 6332 grad_norm: 8.4287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7034 loss: 1.7034 2022/08/20 00:30:05 - mmengine - INFO - Epoch(train) [249][1600/3757] lr: 2.4076e-04 eta: 2:19:09 time: 0.2956 data_time: 0.0184 memory: 6332 grad_norm: 8.5075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5978 loss: 1.5978 2022/08/20 00:30:34 - mmengine - INFO - Epoch(train) [249][1700/3757] lr: 2.4076e-04 eta: 2:18:39 time: 0.2947 data_time: 0.0191 memory: 6332 grad_norm: 8.6188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4017 loss: 1.4017 2022/08/20 00:31:04 - mmengine - INFO - Epoch(train) [249][1800/3757] lr: 2.4076e-04 eta: 2:18:10 time: 0.2920 data_time: 0.0175 memory: 6332 grad_norm: 8.5136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2806 loss: 1.2806 2022/08/20 00:31:33 - mmengine - INFO - Epoch(train) [249][1900/3757] lr: 2.4076e-04 eta: 2:17:41 time: 0.2952 data_time: 0.0172 memory: 6332 grad_norm: 8.6602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/08/20 00:32:03 - mmengine - INFO - Epoch(train) [249][2000/3757] lr: 2.4076e-04 eta: 2:17:11 time: 0.2909 data_time: 0.0180 memory: 6332 grad_norm: 8.3594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4671 loss: 1.4671 2022/08/20 00:32:32 - mmengine - INFO - Epoch(train) [249][2100/3757] lr: 2.4076e-04 eta: 2:16:42 time: 0.2960 data_time: 0.0185 memory: 6332 grad_norm: 8.4862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4116 loss: 1.4116 2022/08/20 00:33:02 - mmengine - INFO - Epoch(train) [249][2200/3757] lr: 2.4076e-04 eta: 2:16:13 time: 0.2941 data_time: 0.0189 memory: 6332 grad_norm: 8.3877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5681 loss: 1.5681 2022/08/20 00:33:21 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:33:32 - mmengine - INFO - Epoch(train) [249][2300/3757] lr: 2.4076e-04 eta: 2:15:43 time: 0.2950 data_time: 0.0190 memory: 6332 grad_norm: 8.5562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4498 loss: 1.4498 2022/08/20 00:34:01 - mmengine - INFO - Epoch(train) [249][2400/3757] lr: 2.4076e-04 eta: 2:15:14 time: 0.2938 data_time: 0.0165 memory: 6332 grad_norm: 8.5425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/08/20 00:34:31 - mmengine - INFO - Epoch(train) [249][2500/3757] lr: 2.4076e-04 eta: 2:14:45 time: 0.2934 data_time: 0.0180 memory: 6332 grad_norm: 8.8308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6195 loss: 1.6195 2022/08/20 00:35:01 - mmengine - INFO - Epoch(train) [249][2600/3757] lr: 2.4076e-04 eta: 2:14:15 time: 0.2930 data_time: 0.0175 memory: 6332 grad_norm: 8.3837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/08/20 00:35:30 - mmengine - INFO - Epoch(train) [249][2700/3757] lr: 2.4076e-04 eta: 2:13:46 time: 0.2927 data_time: 0.0197 memory: 6332 grad_norm: 8.4382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2880 loss: 1.2880 2022/08/20 00:36:00 - mmengine - INFO - Epoch(train) [249][2800/3757] lr: 2.4076e-04 eta: 2:13:17 time: 0.3019 data_time: 0.0169 memory: 6332 grad_norm: 8.3752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/08/20 00:36:29 - mmengine - INFO - Epoch(train) [249][2900/3757] lr: 2.4076e-04 eta: 2:12:47 time: 0.2958 data_time: 0.0177 memory: 6332 grad_norm: 8.5062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1550 loss: 1.1550 2022/08/20 00:36:59 - mmengine - INFO - Epoch(train) [249][3000/3757] lr: 2.4076e-04 eta: 2:12:18 time: 0.2885 data_time: 0.0173 memory: 6332 grad_norm: 8.6414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/08/20 00:37:28 - mmengine - INFO - Epoch(train) [249][3100/3757] lr: 2.4076e-04 eta: 2:11:49 time: 0.2888 data_time: 0.0169 memory: 6332 grad_norm: 8.4483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5472 loss: 1.5472 2022/08/20 00:37:58 - mmengine - INFO - Epoch(train) [249][3200/3757] lr: 2.4076e-04 eta: 2:11:19 time: 0.2888 data_time: 0.0173 memory: 6332 grad_norm: 8.5983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/08/20 00:38:18 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:38:28 - mmengine - INFO - Epoch(train) [249][3300/3757] lr: 2.4076e-04 eta: 2:10:50 time: 0.2891 data_time: 0.0171 memory: 6332 grad_norm: 8.5602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/08/20 00:38:58 - mmengine - INFO - Epoch(train) [249][3400/3757] lr: 2.4076e-04 eta: 2:10:21 time: 0.2901 data_time: 0.0167 memory: 6332 grad_norm: 8.7238 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3273 loss: 1.3273 2022/08/20 00:39:28 - mmengine - INFO - Epoch(train) [249][3500/3757] lr: 2.4076e-04 eta: 2:09:51 time: 0.2896 data_time: 0.0165 memory: 6332 grad_norm: 8.4604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4953 loss: 1.4953 2022/08/20 00:39:58 - mmengine - INFO - Epoch(train) [249][3600/3757] lr: 2.4076e-04 eta: 2:09:22 time: 0.2906 data_time: 0.0171 memory: 6332 grad_norm: 8.6398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/08/20 00:40:27 - mmengine - INFO - Epoch(train) [249][3700/3757] lr: 2.4076e-04 eta: 2:08:53 time: 0.2920 data_time: 0.0179 memory: 6332 grad_norm: 8.3137 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4272 loss: 1.4272 2022/08/20 00:40:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:40:44 - mmengine - INFO - Epoch(train) [249][3757/3757] lr: 2.4076e-04 eta: 2:08:41 time: 0.2754 data_time: 0.0163 memory: 6332 grad_norm: 8.7277 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5013 loss: 1.5013 2022/08/20 00:41:15 - mmengine - INFO - Epoch(train) [250][100/3757] lr: 1.8437e-04 eta: 2:08:06 time: 0.2925 data_time: 0.0183 memory: 6332 grad_norm: 8.3930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/08/20 00:41:45 - mmengine - INFO - Epoch(train) [250][200/3757] lr: 1.8437e-04 eta: 2:07:37 time: 0.2928 data_time: 0.0171 memory: 6332 grad_norm: 8.5697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/08/20 00:42:15 - mmengine - INFO - Epoch(train) [250][300/3757] lr: 1.8437e-04 eta: 2:07:08 time: 0.2950 data_time: 0.0192 memory: 6332 grad_norm: 8.6515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7134 loss: 1.7134 2022/08/20 00:42:44 - mmengine - INFO - Epoch(train) [250][400/3757] lr: 1.8437e-04 eta: 2:06:38 time: 0.2908 data_time: 0.0171 memory: 6332 grad_norm: 8.5335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5401 loss: 1.5401 2022/08/20 00:43:14 - mmengine - INFO - Epoch(train) [250][500/3757] lr: 1.8437e-04 eta: 2:06:09 time: 0.2902 data_time: 0.0171 memory: 6332 grad_norm: 8.5193 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/08/20 00:43:16 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:43:44 - mmengine - INFO - Epoch(train) [250][600/3757] lr: 1.8437e-04 eta: 2:05:40 time: 0.2944 data_time: 0.0183 memory: 6332 grad_norm: 9.0007 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3329 loss: 1.3329 2022/08/20 00:44:13 - mmengine - INFO - Epoch(train) [250][700/3757] lr: 1.8437e-04 eta: 2:05:10 time: 0.2902 data_time: 0.0186 memory: 6332 grad_norm: 8.6562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/08/20 00:44:43 - mmengine - INFO - Epoch(train) [250][800/3757] lr: 1.8437e-04 eta: 2:04:41 time: 0.3108 data_time: 0.0197 memory: 6332 grad_norm: 8.6382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/08/20 00:45:12 - mmengine - INFO - Epoch(train) [250][900/3757] lr: 1.8437e-04 eta: 2:04:12 time: 0.2892 data_time: 0.0167 memory: 6332 grad_norm: 8.6088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5169 loss: 1.5169 2022/08/20 00:45:42 - mmengine - INFO - Epoch(train) [250][1000/3757] lr: 1.8437e-04 eta: 2:03:42 time: 0.2954 data_time: 0.0186 memory: 6332 grad_norm: 8.4635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/08/20 00:46:11 - mmengine - INFO - Epoch(train) [250][1100/3757] lr: 1.8437e-04 eta: 2:03:13 time: 0.2901 data_time: 0.0175 memory: 6332 grad_norm: 8.5757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/08/20 00:46:41 - mmengine - INFO - Epoch(train) [250][1200/3757] lr: 1.8437e-04 eta: 2:02:44 time: 0.2959 data_time: 0.0190 memory: 6332 grad_norm: 8.7294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3638 loss: 1.3638 2022/08/20 00:47:11 - mmengine - INFO - Epoch(train) [250][1300/3757] lr: 1.8437e-04 eta: 2:02:14 time: 0.2897 data_time: 0.0164 memory: 6332 grad_norm: 8.4455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3995 loss: 1.3995 2022/08/20 00:47:40 - mmengine - INFO - Epoch(train) [250][1400/3757] lr: 1.8437e-04 eta: 2:01:45 time: 0.2899 data_time: 0.0176 memory: 6332 grad_norm: 8.1551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6045 loss: 1.6045 2022/08/20 00:48:10 - mmengine - INFO - Epoch(train) [250][1500/3757] lr: 1.8437e-04 eta: 2:01:16 time: 0.2903 data_time: 0.0178 memory: 6332 grad_norm: 8.4203 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7636 loss: 1.7636 2022/08/20 00:48:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:48:40 - mmengine - INFO - Epoch(train) [250][1600/3757] lr: 1.8437e-04 eta: 2:00:46 time: 0.2900 data_time: 0.0186 memory: 6332 grad_norm: 8.7416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1405 loss: 1.1405 2022/08/20 00:49:09 - mmengine - INFO - Epoch(train) [250][1700/3757] lr: 1.8437e-04 eta: 2:00:17 time: 0.2907 data_time: 0.0171 memory: 6332 grad_norm: 8.4958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/08/20 00:49:39 - mmengine - INFO - Epoch(train) [250][1800/3757] lr: 1.8437e-04 eta: 1:59:48 time: 0.2914 data_time: 0.0178 memory: 6332 grad_norm: 8.2065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/08/20 00:50:08 - mmengine - INFO - Epoch(train) [250][1900/3757] lr: 1.8437e-04 eta: 1:59:18 time: 0.2919 data_time: 0.0178 memory: 6332 grad_norm: 8.5088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3090 loss: 1.3090 2022/08/20 00:50:38 - mmengine - INFO - Epoch(train) [250][2000/3757] lr: 1.8437e-04 eta: 1:58:49 time: 0.2893 data_time: 0.0169 memory: 6332 grad_norm: 8.1387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/08/20 00:51:08 - mmengine - INFO - Epoch(train) [250][2100/3757] lr: 1.8437e-04 eta: 1:58:20 time: 0.2907 data_time: 0.0167 memory: 6332 grad_norm: 8.5839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4818 loss: 1.4818 2022/08/20 00:51:38 - mmengine - INFO - Epoch(train) [250][2200/3757] lr: 1.8437e-04 eta: 1:57:50 time: 0.2898 data_time: 0.0172 memory: 6332 grad_norm: 8.4430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4499 loss: 1.4499 2022/08/20 00:52:07 - mmengine - INFO - Epoch(train) [250][2300/3757] lr: 1.8437e-04 eta: 1:57:21 time: 0.2913 data_time: 0.0175 memory: 6332 grad_norm: 8.7585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3792 loss: 1.3792 2022/08/20 00:52:37 - mmengine - INFO - Epoch(train) [250][2400/3757] lr: 1.8437e-04 eta: 1:56:52 time: 0.2900 data_time: 0.0183 memory: 6332 grad_norm: 8.7538 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2560 loss: 1.2560 2022/08/20 00:53:07 - mmengine - INFO - Epoch(train) [250][2500/3757] lr: 1.8437e-04 eta: 1:56:22 time: 0.2911 data_time: 0.0174 memory: 6332 grad_norm: 8.7530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/08/20 00:53:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:53:36 - mmengine - INFO - Epoch(train) [250][2600/3757] lr: 1.8437e-04 eta: 1:55:53 time: 0.2945 data_time: 0.0189 memory: 6332 grad_norm: 8.4155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3151 loss: 1.3151 2022/08/20 00:54:06 - mmengine - INFO - Epoch(train) [250][2700/3757] lr: 1.8437e-04 eta: 1:55:24 time: 0.2927 data_time: 0.0169 memory: 6332 grad_norm: 8.5476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/08/20 00:54:36 - mmengine - INFO - Epoch(train) [250][2800/3757] lr: 1.8437e-04 eta: 1:54:54 time: 0.3136 data_time: 0.0186 memory: 6332 grad_norm: 8.6805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5976 loss: 1.5976 2022/08/20 00:55:05 - mmengine - INFO - Epoch(train) [250][2900/3757] lr: 1.8437e-04 eta: 1:54:25 time: 0.2904 data_time: 0.0175 memory: 6332 grad_norm: 8.4366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4289 loss: 1.4289 2022/08/20 00:55:34 - mmengine - INFO - Epoch(train) [250][3000/3757] lr: 1.8437e-04 eta: 1:53:56 time: 0.2946 data_time: 0.0181 memory: 6332 grad_norm: 8.8288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6504 loss: 1.6504 2022/08/20 00:56:04 - mmengine - INFO - Epoch(train) [250][3100/3757] lr: 1.8437e-04 eta: 1:53:26 time: 0.2900 data_time: 0.0173 memory: 6332 grad_norm: 8.4387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4317 loss: 1.4317 2022/08/20 00:56:34 - mmengine - INFO - Epoch(train) [250][3200/3757] lr: 1.8437e-04 eta: 1:52:57 time: 0.2976 data_time: 0.0185 memory: 6332 grad_norm: 8.9319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2155 loss: 1.2155 2022/08/20 00:57:03 - mmengine - INFO - Epoch(train) [250][3300/3757] lr: 1.8437e-04 eta: 1:52:28 time: 0.2917 data_time: 0.0181 memory: 6332 grad_norm: 8.7039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5874 loss: 1.5874 2022/08/20 00:57:34 - mmengine - INFO - Epoch(train) [250][3400/3757] lr: 1.8437e-04 eta: 1:51:58 time: 0.3234 data_time: 0.0188 memory: 6332 grad_norm: 8.5291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4728 loss: 1.4728 2022/08/20 00:58:03 - mmengine - INFO - Epoch(train) [250][3500/3757] lr: 1.8437e-04 eta: 1:51:29 time: 0.2911 data_time: 0.0172 memory: 6332 grad_norm: 8.9464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5705 loss: 1.5705 2022/08/20 00:58:06 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:58:33 - mmengine - INFO - Epoch(train) [250][3600/3757] lr: 1.8437e-04 eta: 1:51:00 time: 0.3002 data_time: 0.0184 memory: 6332 grad_norm: 8.3563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/08/20 00:59:03 - mmengine - INFO - Epoch(train) [250][3700/3757] lr: 1.8437e-04 eta: 1:50:30 time: 0.2894 data_time: 0.0182 memory: 6332 grad_norm: 8.6086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5615 loss: 1.5615 2022/08/20 00:59:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 00:59:19 - mmengine - INFO - Epoch(train) [250][3757/3757] lr: 1.8437e-04 eta: 1:50:19 time: 0.2718 data_time: 0.0156 memory: 6332 grad_norm: 8.7270 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5991 loss: 1.5991 2022/08/20 00:59:41 - mmengine - INFO - Epoch(val) [250][100/310] eta: 0:00:43 time: 0.2058 data_time: 0.1135 memory: 1147 2022/08/20 01:00:02 - mmengine - INFO - Epoch(val) [250][200/310] eta: 0:00:20 time: 0.1907 data_time: 0.0901 memory: 1147 2022/08/20 01:00:23 - mmengine - INFO - Epoch(val) [250][300/310] eta: 0:00:02 time: 0.2064 data_time: 0.1106 memory: 1147 2022/08/20 01:00:26 - mmengine - INFO - Epoch(val) [250][310/310] acc/top1: 0.6763 acc/top5: 0.8758 acc/mean1: 0.6762 2022/08/20 01:00:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_246.pth is removed 2022/08/20 01:00:29 - mmengine - INFO - The best checkpoint with 0.6763 acc/top1 at 251 epoch is saved to best_acc/top1_epoch_251.pth. 2022/08/20 01:01:00 - mmengine - INFO - Epoch(train) [251][100/3757] lr: 1.3548e-04 eta: 1:49:44 time: 0.2912 data_time: 0.0176 memory: 6332 grad_norm: 8.7061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5365 loss: 1.5365 2022/08/20 01:01:29 - mmengine - INFO - Epoch(train) [251][200/3757] lr: 1.3548e-04 eta: 1:49:15 time: 0.2912 data_time: 0.0198 memory: 6332 grad_norm: 8.5837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5588 loss: 1.5588 2022/08/20 01:01:59 - mmengine - INFO - Epoch(train) [251][300/3757] lr: 1.3548e-04 eta: 1:48:45 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 8.5263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/20 01:02:29 - mmengine - INFO - Epoch(train) [251][400/3757] lr: 1.3548e-04 eta: 1:48:16 time: 0.2911 data_time: 0.0180 memory: 6332 grad_norm: 8.4194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/08/20 01:02:58 - mmengine - INFO - Epoch(train) [251][500/3757] lr: 1.3548e-04 eta: 1:47:47 time: 0.2893 data_time: 0.0173 memory: 6332 grad_norm: 8.5387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/08/20 01:03:28 - mmengine - INFO - Epoch(train) [251][600/3757] lr: 1.3548e-04 eta: 1:47:17 time: 0.3044 data_time: 0.0190 memory: 6332 grad_norm: 8.5382 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.4355 loss: 1.4355 2022/08/20 01:03:57 - mmengine - INFO - Epoch(train) [251][700/3757] lr: 1.3548e-04 eta: 1:46:48 time: 0.2891 data_time: 0.0173 memory: 6332 grad_norm: 8.6894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/08/20 01:04:12 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:04:27 - mmengine - INFO - Epoch(train) [251][800/3757] lr: 1.3548e-04 eta: 1:46:19 time: 0.2992 data_time: 0.0180 memory: 6332 grad_norm: 8.5449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4147 loss: 1.4147 2022/08/20 01:04:56 - mmengine - INFO - Epoch(train) [251][900/3757] lr: 1.3548e-04 eta: 1:45:49 time: 0.2937 data_time: 0.0183 memory: 6332 grad_norm: 8.3799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5247 loss: 1.5247 2022/08/20 01:05:26 - mmengine - INFO - Epoch(train) [251][1000/3757] lr: 1.3548e-04 eta: 1:45:20 time: 0.2878 data_time: 0.0172 memory: 6332 grad_norm: 8.2608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/08/20 01:05:56 - mmengine - INFO - Epoch(train) [251][1100/3757] lr: 1.3548e-04 eta: 1:44:51 time: 0.2939 data_time: 0.0178 memory: 6332 grad_norm: 8.9455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6360 loss: 1.6360 2022/08/20 01:06:25 - mmengine - INFO - Epoch(train) [251][1200/3757] lr: 1.3548e-04 eta: 1:44:21 time: 0.2952 data_time: 0.0182 memory: 6332 grad_norm: 8.3902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/08/20 01:06:54 - mmengine - INFO - Epoch(train) [251][1300/3757] lr: 1.3548e-04 eta: 1:43:52 time: 0.2911 data_time: 0.0169 memory: 6332 grad_norm: 8.4202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4038 loss: 1.4038 2022/08/20 01:07:25 - mmengine - INFO - Epoch(train) [251][1400/3757] lr: 1.3548e-04 eta: 1:43:23 time: 0.3141 data_time: 0.0180 memory: 6332 grad_norm: 8.8063 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4678 loss: 1.4678 2022/08/20 01:07:55 - mmengine - INFO - Epoch(train) [251][1500/3757] lr: 1.3548e-04 eta: 1:42:53 time: 0.2903 data_time: 0.0162 memory: 6332 grad_norm: 8.5483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4846 loss: 1.4846 2022/08/20 01:08:25 - mmengine - INFO - Epoch(train) [251][1600/3757] lr: 1.3548e-04 eta: 1:42:24 time: 0.2936 data_time: 0.0189 memory: 6332 grad_norm: 8.4746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/08/20 01:08:54 - mmengine - INFO - Epoch(train) [251][1700/3757] lr: 1.3548e-04 eta: 1:41:55 time: 0.2936 data_time: 0.0170 memory: 6332 grad_norm: 8.8174 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4433 loss: 1.4433 2022/08/20 01:09:09 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:09:24 - mmengine - INFO - Epoch(train) [251][1800/3757] lr: 1.3548e-04 eta: 1:41:25 time: 0.2971 data_time: 0.0174 memory: 6332 grad_norm: 8.6754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/08/20 01:09:54 - mmengine - INFO - Epoch(train) [251][1900/3757] lr: 1.3548e-04 eta: 1:40:56 time: 0.2922 data_time: 0.0197 memory: 6332 grad_norm: 8.8608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/08/20 01:10:23 - mmengine - INFO - Epoch(train) [251][2000/3757] lr: 1.3548e-04 eta: 1:40:27 time: 0.2937 data_time: 0.0173 memory: 6332 grad_norm: 8.3769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3620 loss: 1.3620 2022/08/20 01:10:53 - mmengine - INFO - Epoch(train) [251][2100/3757] lr: 1.3548e-04 eta: 1:39:57 time: 0.2924 data_time: 0.0190 memory: 6332 grad_norm: 8.5825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4001 loss: 1.4001 2022/08/20 01:11:22 - mmengine - INFO - Epoch(train) [251][2200/3757] lr: 1.3548e-04 eta: 1:39:28 time: 0.2892 data_time: 0.0168 memory: 6332 grad_norm: 8.9168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5262 loss: 1.5262 2022/08/20 01:11:52 - mmengine - INFO - Epoch(train) [251][2300/3757] lr: 1.3548e-04 eta: 1:38:59 time: 0.2919 data_time: 0.0173 memory: 6332 grad_norm: 8.5717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1160 loss: 1.1160 2022/08/20 01:12:22 - mmengine - INFO - Epoch(train) [251][2400/3757] lr: 1.3548e-04 eta: 1:38:29 time: 0.2895 data_time: 0.0175 memory: 6332 grad_norm: 8.6387 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5216 loss: 1.5216 2022/08/20 01:12:51 - mmengine - INFO - Epoch(train) [251][2500/3757] lr: 1.3548e-04 eta: 1:38:00 time: 0.2910 data_time: 0.0169 memory: 6332 grad_norm: 8.8795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/08/20 01:13:21 - mmengine - INFO - Epoch(train) [251][2600/3757] lr: 1.3548e-04 eta: 1:37:31 time: 0.2892 data_time: 0.0168 memory: 6332 grad_norm: 8.6262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/08/20 01:13:50 - mmengine - INFO - Epoch(train) [251][2700/3757] lr: 1.3548e-04 eta: 1:37:01 time: 0.2906 data_time: 0.0173 memory: 6332 grad_norm: 8.7280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/08/20 01:14:05 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:14:20 - mmengine - INFO - Epoch(train) [251][2800/3757] lr: 1.3548e-04 eta: 1:36:32 time: 0.2887 data_time: 0.0173 memory: 6332 grad_norm: 8.4802 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/08/20 01:14:49 - mmengine - INFO - Epoch(train) [251][2900/3757] lr: 1.3548e-04 eta: 1:36:02 time: 0.2918 data_time: 0.0179 memory: 6332 grad_norm: 8.7251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/08/20 01:15:19 - mmengine - INFO - Epoch(train) [251][3000/3757] lr: 1.3548e-04 eta: 1:35:33 time: 0.2921 data_time: 0.0188 memory: 6332 grad_norm: 8.6710 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4465 loss: 1.4465 2022/08/20 01:15:48 - mmengine - INFO - Epoch(train) [251][3100/3757] lr: 1.3548e-04 eta: 1:35:04 time: 0.2920 data_time: 0.0170 memory: 6332 grad_norm: 8.2451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/08/20 01:16:18 - mmengine - INFO - Epoch(train) [251][3200/3757] lr: 1.3548e-04 eta: 1:34:34 time: 0.2951 data_time: 0.0193 memory: 6332 grad_norm: 8.2284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5908 loss: 1.5908 2022/08/20 01:16:48 - mmengine - INFO - Epoch(train) [251][3300/3757] lr: 1.3548e-04 eta: 1:34:05 time: 0.2902 data_time: 0.0168 memory: 6332 grad_norm: 8.8712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8882 loss: 1.8882 2022/08/20 01:17:17 - mmengine - INFO - Epoch(train) [251][3400/3757] lr: 1.3548e-04 eta: 1:33:36 time: 0.2950 data_time: 0.0196 memory: 6332 grad_norm: 8.5089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5587 loss: 1.5587 2022/08/20 01:17:47 - mmengine - INFO - Epoch(train) [251][3500/3757] lr: 1.3548e-04 eta: 1:33:06 time: 0.2970 data_time: 0.0177 memory: 6332 grad_norm: 8.4891 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6696 loss: 1.6696 2022/08/20 01:18:16 - mmengine - INFO - Epoch(train) [251][3600/3757] lr: 1.3548e-04 eta: 1:32:37 time: 0.3041 data_time: 0.0195 memory: 6332 grad_norm: 8.6150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/08/20 01:18:46 - mmengine - INFO - Epoch(train) [251][3700/3757] lr: 1.3548e-04 eta: 1:32:08 time: 0.2909 data_time: 0.0174 memory: 6332 grad_norm: 8.9919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/08/20 01:19:01 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:19:03 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:19:03 - mmengine - INFO - Epoch(train) [251][3757/3757] lr: 1.3548e-04 eta: 1:31:56 time: 0.2716 data_time: 0.0158 memory: 6332 grad_norm: 8.6251 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3092 loss: 1.3092 2022/08/20 01:19:35 - mmengine - INFO - Epoch(train) [252][100/3757] lr: 9.4094e-05 eta: 1:31:22 time: 0.2946 data_time: 0.0196 memory: 6332 grad_norm: 8.5407 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/08/20 01:20:04 - mmengine - INFO - Epoch(train) [252][200/3757] lr: 9.4094e-05 eta: 1:30:52 time: 0.2906 data_time: 0.0175 memory: 6332 grad_norm: 8.7460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5445 loss: 1.5445 2022/08/20 01:20:35 - mmengine - INFO - Epoch(train) [252][300/3757] lr: 9.4094e-05 eta: 1:30:23 time: 0.3314 data_time: 0.0183 memory: 6332 grad_norm: 8.7047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/08/20 01:21:04 - mmengine - INFO - Epoch(train) [252][400/3757] lr: 9.4094e-05 eta: 1:29:54 time: 0.2929 data_time: 0.0184 memory: 6332 grad_norm: 8.3921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4232 loss: 1.4232 2022/08/20 01:21:33 - mmengine - INFO - Epoch(train) [252][500/3757] lr: 9.4094e-05 eta: 1:29:24 time: 0.2895 data_time: 0.0183 memory: 6332 grad_norm: 8.0864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4630 loss: 1.4630 2022/08/20 01:22:03 - mmengine - INFO - Epoch(train) [252][600/3757] lr: 9.4094e-05 eta: 1:28:55 time: 0.2893 data_time: 0.0175 memory: 6332 grad_norm: 8.5084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2423 loss: 1.2423 2022/08/20 01:22:33 - mmengine - INFO - Epoch(train) [252][700/3757] lr: 9.4094e-05 eta: 1:28:26 time: 0.2905 data_time: 0.0166 memory: 6332 grad_norm: 8.7316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3493 loss: 1.3493 2022/08/20 01:23:02 - mmengine - INFO - Epoch(train) [252][800/3757] lr: 9.4094e-05 eta: 1:27:56 time: 0.2919 data_time: 0.0181 memory: 6332 grad_norm: 8.6215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4762 loss: 1.4762 2022/08/20 01:23:32 - mmengine - INFO - Epoch(train) [252][900/3757] lr: 9.4094e-05 eta: 1:27:27 time: 0.2928 data_time: 0.0176 memory: 6332 grad_norm: 8.4148 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5424 loss: 1.5424 2022/08/20 01:24:00 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:24:02 - mmengine - INFO - Epoch(train) [252][1000/3757] lr: 9.4094e-05 eta: 1:26:58 time: 0.2906 data_time: 0.0175 memory: 6332 grad_norm: 8.6689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4498 loss: 1.4498 2022/08/20 01:24:31 - mmengine - INFO - Epoch(train) [252][1100/3757] lr: 9.4094e-05 eta: 1:26:28 time: 0.2891 data_time: 0.0171 memory: 6332 grad_norm: 8.3435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/08/20 01:25:01 - mmengine - INFO - Epoch(train) [252][1200/3757] lr: 9.4094e-05 eta: 1:25:59 time: 0.2904 data_time: 0.0169 memory: 6332 grad_norm: 8.3439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/20 01:25:31 - mmengine - INFO - Epoch(train) [252][1300/3757] lr: 9.4094e-05 eta: 1:25:30 time: 0.2902 data_time: 0.0171 memory: 6332 grad_norm: 8.6678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2401 loss: 1.2401 2022/08/20 01:26:00 - mmengine - INFO - Epoch(train) [252][1400/3757] lr: 9.4094e-05 eta: 1:25:00 time: 0.2907 data_time: 0.0190 memory: 6332 grad_norm: 8.6758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5731 loss: 1.5731 2022/08/20 01:26:30 - mmengine - INFO - Epoch(train) [252][1500/3757] lr: 9.4094e-05 eta: 1:24:31 time: 0.2903 data_time: 0.0181 memory: 6332 grad_norm: 8.4328 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3854 loss: 1.3854 2022/08/20 01:27:00 - mmengine - INFO - Epoch(train) [252][1600/3757] lr: 9.4094e-05 eta: 1:24:02 time: 0.3063 data_time: 0.0187 memory: 6332 grad_norm: 8.4714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4887 loss: 1.4887 2022/08/20 01:27:29 - mmengine - INFO - Epoch(train) [252][1700/3757] lr: 9.4094e-05 eta: 1:23:32 time: 0.2899 data_time: 0.0167 memory: 6332 grad_norm: 8.6227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4125 loss: 1.4125 2022/08/20 01:27:59 - mmengine - INFO - Epoch(train) [252][1800/3757] lr: 9.4094e-05 eta: 1:23:03 time: 0.3022 data_time: 0.0166 memory: 6332 grad_norm: 8.5557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4904 loss: 1.4904 2022/08/20 01:28:28 - mmengine - INFO - Epoch(train) [252][1900/3757] lr: 9.4094e-05 eta: 1:22:33 time: 0.2954 data_time: 0.0192 memory: 6332 grad_norm: 8.7263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6355 loss: 1.6355 2022/08/20 01:28:56 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:28:58 - mmengine - INFO - Epoch(train) [252][2000/3757] lr: 9.4094e-05 eta: 1:22:04 time: 0.3000 data_time: 0.0192 memory: 6332 grad_norm: 8.6869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/08/20 01:29:28 - mmengine - INFO - Epoch(train) [252][2100/3757] lr: 9.4094e-05 eta: 1:21:35 time: 0.2980 data_time: 0.0165 memory: 6332 grad_norm: 8.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/08/20 01:29:58 - mmengine - INFO - Epoch(train) [252][2200/3757] lr: 9.4094e-05 eta: 1:21:06 time: 0.3024 data_time: 0.0178 memory: 6332 grad_norm: 8.4096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6336 loss: 1.6336 2022/08/20 01:30:27 - mmengine - INFO - Epoch(train) [252][2300/3757] lr: 9.4094e-05 eta: 1:20:36 time: 0.2907 data_time: 0.0178 memory: 6332 grad_norm: 8.6824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6982 loss: 1.6982 2022/08/20 01:30:57 - mmengine - INFO - Epoch(train) [252][2400/3757] lr: 9.4094e-05 eta: 1:20:07 time: 0.2937 data_time: 0.0174 memory: 6332 grad_norm: 8.7244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3766 loss: 1.3766 2022/08/20 01:31:26 - mmengine - INFO - Epoch(train) [252][2500/3757] lr: 9.4094e-05 eta: 1:19:37 time: 0.2941 data_time: 0.0180 memory: 6332 grad_norm: 8.6297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4218 loss: 1.4218 2022/08/20 01:31:56 - mmengine - INFO - Epoch(train) [252][2600/3757] lr: 9.4094e-05 eta: 1:19:08 time: 0.2906 data_time: 0.0178 memory: 6332 grad_norm: 8.3258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2717 loss: 1.2717 2022/08/20 01:32:26 - mmengine - INFO - Epoch(train) [252][2700/3757] lr: 9.4094e-05 eta: 1:18:39 time: 0.2985 data_time: 0.0186 memory: 6332 grad_norm: 8.6261 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/08/20 01:32:55 - mmengine - INFO - Epoch(train) [252][2800/3757] lr: 9.4094e-05 eta: 1:18:09 time: 0.2907 data_time: 0.0178 memory: 6332 grad_norm: 8.5631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5581 loss: 1.5581 2022/08/20 01:33:25 - mmengine - INFO - Epoch(train) [252][2900/3757] lr: 9.4094e-05 eta: 1:17:40 time: 0.2934 data_time: 0.0188 memory: 6332 grad_norm: 8.4371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6426 loss: 1.6426 2022/08/20 01:33:52 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:33:54 - mmengine - INFO - Epoch(train) [252][3000/3757] lr: 9.4094e-05 eta: 1:17:11 time: 0.2915 data_time: 0.0170 memory: 6332 grad_norm: 8.3615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2966 loss: 1.2966 2022/08/20 01:34:24 - mmengine - INFO - Epoch(train) [252][3100/3757] lr: 9.4094e-05 eta: 1:16:41 time: 0.2899 data_time: 0.0177 memory: 6332 grad_norm: 8.4924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2752 loss: 1.2752 2022/08/20 01:34:54 - mmengine - INFO - Epoch(train) [252][3200/3757] lr: 9.4094e-05 eta: 1:16:12 time: 0.2921 data_time: 0.0176 memory: 6332 grad_norm: 8.6067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5136 loss: 1.5136 2022/08/20 01:35:23 - mmengine - INFO - Epoch(train) [252][3300/3757] lr: 9.4094e-05 eta: 1:15:43 time: 0.2915 data_time: 0.0163 memory: 6332 grad_norm: 8.7916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5473 loss: 1.5473 2022/08/20 01:35:53 - mmengine - INFO - Epoch(train) [252][3400/3757] lr: 9.4094e-05 eta: 1:15:13 time: 0.2898 data_time: 0.0178 memory: 6332 grad_norm: 8.6962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4054 loss: 1.4054 2022/08/20 01:36:23 - mmengine - INFO - Epoch(train) [252][3500/3757] lr: 9.4094e-05 eta: 1:14:44 time: 0.2908 data_time: 0.0186 memory: 6332 grad_norm: 8.5713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9488 loss: 0.9488 2022/08/20 01:36:53 - mmengine - INFO - Epoch(train) [252][3600/3757] lr: 9.4094e-05 eta: 1:14:15 time: 0.2909 data_time: 0.0170 memory: 6332 grad_norm: 8.6758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5893 loss: 1.5893 2022/08/20 01:37:23 - mmengine - INFO - Epoch(train) [252][3700/3757] lr: 9.4094e-05 eta: 1:13:45 time: 0.2908 data_time: 0.0168 memory: 6332 grad_norm: 8.5766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/08/20 01:37:39 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:37:39 - mmengine - INFO - Epoch(train) [252][3757/3757] lr: 9.4094e-05 eta: 1:13:34 time: 0.2726 data_time: 0.0159 memory: 6332 grad_norm: 8.4233 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3414 loss: 1.3414 2022/08/20 01:37:39 - mmengine - INFO - Saving checkpoint at 252 epochs 2022/08/20 01:38:14 - mmengine - INFO - Epoch(train) [253][100/3757] lr: 6.0227e-05 eta: 1:12:59 time: 0.2914 data_time: 0.0172 memory: 6332 grad_norm: 8.5835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1589 loss: 1.1589 2022/08/20 01:38:44 - mmengine - INFO - Epoch(train) [253][200/3757] lr: 6.0227e-05 eta: 1:12:30 time: 0.2914 data_time: 0.0183 memory: 6332 grad_norm: 8.6051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7033 loss: 1.7033 2022/08/20 01:38:54 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:39:13 - mmengine - INFO - Epoch(train) [253][300/3757] lr: 6.0227e-05 eta: 1:12:01 time: 0.2919 data_time: 0.0172 memory: 6332 grad_norm: 8.5729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/08/20 01:39:43 - mmengine - INFO - Epoch(train) [253][400/3757] lr: 6.0227e-05 eta: 1:11:31 time: 0.2899 data_time: 0.0177 memory: 6332 grad_norm: 8.7183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5770 loss: 1.5770 2022/08/20 01:40:13 - mmengine - INFO - Epoch(train) [253][500/3757] lr: 6.0227e-05 eta: 1:11:02 time: 0.2903 data_time: 0.0176 memory: 6332 grad_norm: 8.3529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4314 loss: 1.4314 2022/08/20 01:40:42 - mmengine - INFO - Epoch(train) [253][600/3757] lr: 6.0227e-05 eta: 1:10:33 time: 0.2908 data_time: 0.0176 memory: 6332 grad_norm: 8.2544 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4395 loss: 1.4395 2022/08/20 01:41:12 - mmengine - INFO - Epoch(train) [253][700/3757] lr: 6.0227e-05 eta: 1:10:03 time: 0.2924 data_time: 0.0175 memory: 6332 grad_norm: 8.6913 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4950 loss: 1.4950 2022/08/20 01:41:42 - mmengine - INFO - Epoch(train) [253][800/3757] lr: 6.0227e-05 eta: 1:09:34 time: 0.2887 data_time: 0.0188 memory: 6332 grad_norm: 8.6677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4092 loss: 1.4092 2022/08/20 01:42:11 - mmengine - INFO - Epoch(train) [253][900/3757] lr: 6.0227e-05 eta: 1:09:05 time: 0.2888 data_time: 0.0164 memory: 6332 grad_norm: 8.5273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/08/20 01:42:41 - mmengine - INFO - Epoch(train) [253][1000/3757] lr: 6.0227e-05 eta: 1:08:35 time: 0.2998 data_time: 0.0191 memory: 6332 grad_norm: 8.6076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/08/20 01:43:11 - mmengine - INFO - Epoch(train) [253][1100/3757] lr: 6.0227e-05 eta: 1:08:06 time: 0.2886 data_time: 0.0180 memory: 6332 grad_norm: 8.6162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/08/20 01:43:41 - mmengine - INFO - Epoch(train) [253][1200/3757] lr: 6.0227e-05 eta: 1:07:37 time: 0.2937 data_time: 0.0196 memory: 6332 grad_norm: 8.3954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3223 loss: 1.3223 2022/08/20 01:43:51 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:44:10 - mmengine - INFO - Epoch(train) [253][1300/3757] lr: 6.0227e-05 eta: 1:07:07 time: 0.2894 data_time: 0.0167 memory: 6332 grad_norm: 9.0962 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5588 loss: 1.5588 2022/08/20 01:44:40 - mmengine - INFO - Epoch(train) [253][1400/3757] lr: 6.0227e-05 eta: 1:06:38 time: 0.2916 data_time: 0.0185 memory: 6332 grad_norm: 8.5762 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/08/20 01:45:09 - mmengine - INFO - Epoch(train) [253][1500/3757] lr: 6.0227e-05 eta: 1:06:08 time: 0.2965 data_time: 0.0191 memory: 6332 grad_norm: 8.6004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5861 loss: 1.5861 2022/08/20 01:45:39 - mmengine - INFO - Epoch(train) [253][1600/3757] lr: 6.0227e-05 eta: 1:05:39 time: 0.2936 data_time: 0.0171 memory: 6332 grad_norm: 8.7721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/08/20 01:46:08 - mmengine - INFO - Epoch(train) [253][1700/3757] lr: 6.0227e-05 eta: 1:05:10 time: 0.2927 data_time: 0.0171 memory: 6332 grad_norm: 8.8710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/08/20 01:46:38 - mmengine - INFO - Epoch(train) [253][1800/3757] lr: 6.0227e-05 eta: 1:04:40 time: 0.2935 data_time: 0.0193 memory: 6332 grad_norm: 8.5442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3372 loss: 1.3372 2022/08/20 01:47:08 - mmengine - INFO - Epoch(train) [253][1900/3757] lr: 6.0227e-05 eta: 1:04:11 time: 0.2901 data_time: 0.0175 memory: 6332 grad_norm: 8.5710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2864 loss: 1.2864 2022/08/20 01:47:37 - mmengine - INFO - Epoch(train) [253][2000/3757] lr: 6.0227e-05 eta: 1:03:42 time: 0.2977 data_time: 0.0192 memory: 6332 grad_norm: 8.6475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4866 loss: 1.4866 2022/08/20 01:48:07 - mmengine - INFO - Epoch(train) [253][2100/3757] lr: 6.0227e-05 eta: 1:03:12 time: 0.2934 data_time: 0.0180 memory: 6332 grad_norm: 8.8239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/08/20 01:48:37 - mmengine - INFO - Epoch(train) [253][2200/3757] lr: 6.0227e-05 eta: 1:02:43 time: 0.2911 data_time: 0.0184 memory: 6332 grad_norm: 8.4035 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3534 loss: 1.3534 2022/08/20 01:48:47 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:49:06 - mmengine - INFO - Epoch(train) [253][2300/3757] lr: 6.0227e-05 eta: 1:02:14 time: 0.2932 data_time: 0.0168 memory: 6332 grad_norm: 8.7450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/08/20 01:49:36 - mmengine - INFO - Epoch(train) [253][2400/3757] lr: 6.0227e-05 eta: 1:01:44 time: 0.2930 data_time: 0.0174 memory: 6332 grad_norm: 8.5959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/08/20 01:50:06 - mmengine - INFO - Epoch(train) [253][2500/3757] lr: 6.0227e-05 eta: 1:01:15 time: 0.2931 data_time: 0.0200 memory: 6332 grad_norm: 8.6970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4927 loss: 1.4927 2022/08/20 01:50:35 - mmengine - INFO - Epoch(train) [253][2600/3757] lr: 6.0227e-05 eta: 1:00:46 time: 0.2890 data_time: 0.0175 memory: 6332 grad_norm: 8.6150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/08/20 01:51:05 - mmengine - INFO - Epoch(train) [253][2700/3757] lr: 6.0227e-05 eta: 1:00:16 time: 0.2914 data_time: 0.0184 memory: 6332 grad_norm: 8.7216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3622 loss: 1.3622 2022/08/20 01:51:35 - mmengine - INFO - Epoch(train) [253][2800/3757] lr: 6.0227e-05 eta: 0:59:47 time: 0.2906 data_time: 0.0175 memory: 6332 grad_norm: 8.9698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2616 loss: 1.2616 2022/08/20 01:52:05 - mmengine - INFO - Epoch(train) [253][2900/3757] lr: 6.0227e-05 eta: 0:59:18 time: 0.2897 data_time: 0.0174 memory: 6332 grad_norm: 8.7885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/08/20 01:52:34 - mmengine - INFO - Epoch(train) [253][3000/3757] lr: 6.0227e-05 eta: 0:58:48 time: 0.2897 data_time: 0.0193 memory: 6332 grad_norm: 8.6616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1244 loss: 1.1244 2022/08/20 01:53:04 - mmengine - INFO - Epoch(train) [253][3100/3757] lr: 6.0227e-05 eta: 0:58:19 time: 0.2915 data_time: 0.0208 memory: 6332 grad_norm: 9.0305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/08/20 01:53:34 - mmengine - INFO - Epoch(train) [253][3200/3757] lr: 6.0227e-05 eta: 0:57:50 time: 0.2893 data_time: 0.0178 memory: 6332 grad_norm: 8.3415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2644 loss: 1.2644 2022/08/20 01:53:45 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:54:04 - mmengine - INFO - Epoch(train) [253][3300/3757] lr: 6.0227e-05 eta: 0:57:20 time: 0.2920 data_time: 0.0178 memory: 6332 grad_norm: 8.4775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3605 loss: 1.3605 2022/08/20 01:54:33 - mmengine - INFO - Epoch(train) [253][3400/3757] lr: 6.0227e-05 eta: 0:56:51 time: 0.2915 data_time: 0.0172 memory: 6332 grad_norm: 8.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/08/20 01:55:03 - mmengine - INFO - Epoch(train) [253][3500/3757] lr: 6.0227e-05 eta: 0:56:22 time: 0.2913 data_time: 0.0175 memory: 6332 grad_norm: 8.6246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3941 loss: 1.3941 2022/08/20 01:55:33 - mmengine - INFO - Epoch(train) [253][3600/3757] lr: 6.0227e-05 eta: 0:55:52 time: 0.2939 data_time: 0.0167 memory: 6332 grad_norm: 8.1052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2412 loss: 1.2412 2022/08/20 01:56:02 - mmengine - INFO - Epoch(train) [253][3700/3757] lr: 6.0227e-05 eta: 0:55:23 time: 0.2958 data_time: 0.0165 memory: 6332 grad_norm: 8.3388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6794 loss: 1.6794 2022/08/20 01:56:19 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:56:19 - mmengine - INFO - Epoch(train) [253][3757/3757] lr: 6.0227e-05 eta: 0:55:11 time: 0.2739 data_time: 0.0156 memory: 6332 grad_norm: 8.9139 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.5787 loss: 1.5787 2022/08/20 01:56:51 - mmengine - INFO - Epoch(train) [254][100/3757] lr: 3.3881e-05 eta: 0:54:37 time: 0.2954 data_time: 0.0166 memory: 6332 grad_norm: 8.5228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/08/20 01:57:21 - mmengine - INFO - Epoch(train) [254][200/3757] lr: 3.3881e-05 eta: 0:54:08 time: 0.2951 data_time: 0.0188 memory: 6332 grad_norm: 8.2797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3381 loss: 1.3381 2022/08/20 01:57:51 - mmengine - INFO - Epoch(train) [254][300/3757] lr: 3.3881e-05 eta: 0:53:38 time: 0.2943 data_time: 0.0186 memory: 6332 grad_norm: 8.4369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3779 loss: 1.3779 2022/08/20 01:58:20 - mmengine - INFO - Epoch(train) [254][400/3757] lr: 3.3881e-05 eta: 0:53:09 time: 0.2887 data_time: 0.0171 memory: 6332 grad_norm: 8.6447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2962 loss: 1.2962 2022/08/20 01:58:44 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 01:58:50 - mmengine - INFO - Epoch(train) [254][500/3757] lr: 3.3881e-05 eta: 0:52:40 time: 0.3030 data_time: 0.0173 memory: 6332 grad_norm: 8.8542 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5551 loss: 1.5551 2022/08/20 01:59:20 - mmengine - INFO - Epoch(train) [254][600/3757] lr: 3.3881e-05 eta: 0:52:10 time: 0.2934 data_time: 0.0170 memory: 6332 grad_norm: 8.3524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1671 loss: 1.1671 2022/08/20 01:59:49 - mmengine - INFO - Epoch(train) [254][700/3757] lr: 3.3881e-05 eta: 0:51:41 time: 0.2988 data_time: 0.0192 memory: 6332 grad_norm: 8.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7392 loss: 1.7392 2022/08/20 02:00:20 - mmengine - INFO - Epoch(train) [254][800/3757] lr: 3.3881e-05 eta: 0:51:12 time: 0.3150 data_time: 0.0188 memory: 6332 grad_norm: 8.7608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7943 loss: 1.7943 2022/08/20 02:00:50 - mmengine - INFO - Epoch(train) [254][900/3757] lr: 3.3881e-05 eta: 0:50:42 time: 0.2970 data_time: 0.0173 memory: 6332 grad_norm: 8.5587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5029 loss: 1.5029 2022/08/20 02:01:20 - mmengine - INFO - Epoch(train) [254][1000/3757] lr: 3.3881e-05 eta: 0:50:13 time: 0.2917 data_time: 0.0175 memory: 6332 grad_norm: 8.5704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/08/20 02:01:49 - mmengine - INFO - Epoch(train) [254][1100/3757] lr: 3.3881e-05 eta: 0:49:44 time: 0.2979 data_time: 0.0192 memory: 6332 grad_norm: 9.0842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7220 loss: 1.7220 2022/08/20 02:02:19 - mmengine - INFO - Epoch(train) [254][1200/3757] lr: 3.3881e-05 eta: 0:49:14 time: 0.2908 data_time: 0.0187 memory: 6332 grad_norm: 8.5606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4470 loss: 1.4470 2022/08/20 02:02:48 - mmengine - INFO - Epoch(train) [254][1300/3757] lr: 3.3881e-05 eta: 0:48:45 time: 0.2936 data_time: 0.0184 memory: 6332 grad_norm: 8.5848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3619 loss: 1.3619 2022/08/20 02:03:18 - mmengine - INFO - Epoch(train) [254][1400/3757] lr: 3.3881e-05 eta: 0:48:16 time: 0.2916 data_time: 0.0168 memory: 6332 grad_norm: 8.7213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/08/20 02:03:41 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:03:48 - mmengine - INFO - Epoch(train) [254][1500/3757] lr: 3.3881e-05 eta: 0:47:46 time: 0.2930 data_time: 0.0178 memory: 6332 grad_norm: 8.4663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/08/20 02:04:17 - mmengine - INFO - Epoch(train) [254][1600/3757] lr: 3.3881e-05 eta: 0:47:17 time: 0.2904 data_time: 0.0176 memory: 6332 grad_norm: 8.7333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5958 loss: 1.5958 2022/08/20 02:04:47 - mmengine - INFO - Epoch(train) [254][1700/3757] lr: 3.3881e-05 eta: 0:46:48 time: 0.2908 data_time: 0.0171 memory: 6332 grad_norm: 8.4691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2714 loss: 1.2714 2022/08/20 02:05:16 - mmengine - INFO - Epoch(train) [254][1800/3757] lr: 3.3881e-05 eta: 0:46:18 time: 0.2888 data_time: 0.0171 memory: 6332 grad_norm: 8.5568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4786 loss: 1.4786 2022/08/20 02:05:46 - mmengine - INFO - Epoch(train) [254][1900/3757] lr: 3.3881e-05 eta: 0:45:49 time: 0.2912 data_time: 0.0178 memory: 6332 grad_norm: 8.6291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/08/20 02:06:16 - mmengine - INFO - Epoch(train) [254][2000/3757] lr: 3.3881e-05 eta: 0:45:20 time: 0.2908 data_time: 0.0177 memory: 6332 grad_norm: 8.4540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/08/20 02:06:46 - mmengine - INFO - Epoch(train) [254][2100/3757] lr: 3.3881e-05 eta: 0:44:50 time: 0.2897 data_time: 0.0167 memory: 6332 grad_norm: 8.7362 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/08/20 02:07:15 - mmengine - INFO - Epoch(train) [254][2200/3757] lr: 3.3881e-05 eta: 0:44:21 time: 0.2920 data_time: 0.0175 memory: 6332 grad_norm: 8.5103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4160 loss: 1.4160 2022/08/20 02:07:45 - mmengine - INFO - Epoch(train) [254][2300/3757] lr: 3.3881e-05 eta: 0:43:52 time: 0.2901 data_time: 0.0173 memory: 6332 grad_norm: 8.3834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4399 loss: 1.4399 2022/08/20 02:08:15 - mmengine - INFO - Epoch(train) [254][2400/3757] lr: 3.3881e-05 eta: 0:43:22 time: 0.2916 data_time: 0.0180 memory: 6332 grad_norm: 8.2878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/08/20 02:08:38 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:08:44 - mmengine - INFO - Epoch(train) [254][2500/3757] lr: 3.3881e-05 eta: 0:42:53 time: 0.2912 data_time: 0.0176 memory: 6332 grad_norm: 8.5870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4026 loss: 1.4026 2022/08/20 02:09:14 - mmengine - INFO - Epoch(train) [254][2600/3757] lr: 3.3881e-05 eta: 0:42:24 time: 0.3012 data_time: 0.0191 memory: 6332 grad_norm: 9.0421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4403 loss: 1.4403 2022/08/20 02:09:44 - mmengine - INFO - Epoch(train) [254][2700/3757] lr: 3.3881e-05 eta: 0:41:54 time: 0.2951 data_time: 0.0169 memory: 6332 grad_norm: 8.6336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/08/20 02:10:13 - mmengine - INFO - Epoch(train) [254][2800/3757] lr: 3.3881e-05 eta: 0:41:25 time: 0.2983 data_time: 0.0193 memory: 6332 grad_norm: 8.9174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5069 loss: 1.5069 2022/08/20 02:10:43 - mmengine - INFO - Epoch(train) [254][2900/3757] lr: 3.3881e-05 eta: 0:40:56 time: 0.2929 data_time: 0.0183 memory: 6332 grad_norm: 8.5804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3583 loss: 1.3583 2022/08/20 02:11:12 - mmengine - INFO - Epoch(train) [254][3000/3757] lr: 3.3881e-05 eta: 0:40:26 time: 0.2896 data_time: 0.0175 memory: 6332 grad_norm: 8.4697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1805 loss: 1.1805 2022/08/20 02:11:42 - mmengine - INFO - Epoch(train) [254][3100/3757] lr: 3.3881e-05 eta: 0:39:57 time: 0.2941 data_time: 0.0194 memory: 6332 grad_norm: 8.4964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5490 loss: 1.5490 2022/08/20 02:12:12 - mmengine - INFO - Epoch(train) [254][3200/3757] lr: 3.3881e-05 eta: 0:39:28 time: 0.2933 data_time: 0.0185 memory: 6332 grad_norm: 8.5426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5460 loss: 1.5460 2022/08/20 02:12:42 - mmengine - INFO - Epoch(train) [254][3300/3757] lr: 3.3881e-05 eta: 0:38:58 time: 0.3041 data_time: 0.0205 memory: 6332 grad_norm: 8.8255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1859 loss: 1.1859 2022/08/20 02:13:11 - mmengine - INFO - Epoch(train) [254][3400/3757] lr: 3.3881e-05 eta: 0:38:29 time: 0.2901 data_time: 0.0173 memory: 6332 grad_norm: 8.4807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3881 loss: 1.3881 2022/08/20 02:13:35 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:13:41 - mmengine - INFO - Epoch(train) [254][3500/3757] lr: 3.3881e-05 eta: 0:38:00 time: 0.3006 data_time: 0.0178 memory: 6332 grad_norm: 8.5969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/08/20 02:14:10 - mmengine - INFO - Epoch(train) [254][3600/3757] lr: 3.3881e-05 eta: 0:37:30 time: 0.2923 data_time: 0.0197 memory: 6332 grad_norm: 8.7892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/08/20 02:14:40 - mmengine - INFO - Epoch(train) [254][3700/3757] lr: 3.3881e-05 eta: 0:37:01 time: 0.2958 data_time: 0.0181 memory: 6332 grad_norm: 8.7148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6243 loss: 1.6243 2022/08/20 02:14:57 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:14:57 - mmengine - INFO - Epoch(train) [254][3757/3757] lr: 3.3881e-05 eta: 0:36:49 time: 0.2723 data_time: 0.0153 memory: 6332 grad_norm: 8.6682 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1483 loss: 1.1483 2022/08/20 02:15:28 - mmengine - INFO - Epoch(train) [255][100/3757] lr: 1.5059e-05 eta: 0:36:15 time: 0.2906 data_time: 0.0177 memory: 6332 grad_norm: 8.7606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/08/20 02:15:58 - mmengine - INFO - Epoch(train) [255][200/3757] lr: 1.5059e-05 eta: 0:35:45 time: 0.2891 data_time: 0.0163 memory: 6332 grad_norm: 8.5040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5333 loss: 1.5333 2022/08/20 02:16:28 - mmengine - INFO - Epoch(train) [255][300/3757] lr: 1.5059e-05 eta: 0:35:16 time: 0.2902 data_time: 0.0169 memory: 6332 grad_norm: 8.7550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3167 loss: 1.3167 2022/08/20 02:16:57 - mmengine - INFO - Epoch(train) [255][400/3757] lr: 1.5059e-05 eta: 0:34:47 time: 0.2910 data_time: 0.0170 memory: 6332 grad_norm: 8.7432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6303 loss: 1.6303 2022/08/20 02:17:27 - mmengine - INFO - Epoch(train) [255][500/3757] lr: 1.5059e-05 eta: 0:34:17 time: 0.2908 data_time: 0.0175 memory: 6332 grad_norm: 8.6716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4162 loss: 1.4162 2022/08/20 02:17:57 - mmengine - INFO - Epoch(train) [255][600/3757] lr: 1.5059e-05 eta: 0:33:48 time: 0.2904 data_time: 0.0177 memory: 6332 grad_norm: 8.6535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5757 loss: 1.5757 2022/08/20 02:18:26 - mmengine - INFO - Epoch(train) [255][700/3757] lr: 1.5059e-05 eta: 0:33:19 time: 0.2900 data_time: 0.0174 memory: 6332 grad_norm: 8.3312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1731 loss: 1.1731 2022/08/20 02:18:33 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:18:56 - mmengine - INFO - Epoch(train) [255][800/3757] lr: 1.5059e-05 eta: 0:32:49 time: 0.2943 data_time: 0.0177 memory: 6332 grad_norm: 8.6703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/08/20 02:19:26 - mmengine - INFO - Epoch(train) [255][900/3757] lr: 1.5059e-05 eta: 0:32:20 time: 0.2928 data_time: 0.0177 memory: 6332 grad_norm: 8.8130 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4848 loss: 1.4848 2022/08/20 02:19:55 - mmengine - INFO - Epoch(train) [255][1000/3757] lr: 1.5059e-05 eta: 0:31:51 time: 0.2913 data_time: 0.0197 memory: 6332 grad_norm: 8.5277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/08/20 02:20:25 - mmengine - INFO - Epoch(train) [255][1100/3757] lr: 1.5059e-05 eta: 0:31:21 time: 0.3011 data_time: 0.0181 memory: 6332 grad_norm: 8.9036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/08/20 02:20:55 - mmengine - INFO - Epoch(train) [255][1200/3757] lr: 1.5059e-05 eta: 0:30:52 time: 0.2936 data_time: 0.0177 memory: 6332 grad_norm: 8.4706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/20 02:21:25 - mmengine - INFO - Epoch(train) [255][1300/3757] lr: 1.5059e-05 eta: 0:30:23 time: 0.2953 data_time: 0.0172 memory: 6332 grad_norm: 8.9908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/20 02:21:54 - mmengine - INFO - Epoch(train) [255][1400/3757] lr: 1.5059e-05 eta: 0:29:53 time: 0.2907 data_time: 0.0176 memory: 6332 grad_norm: 8.6895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7845 loss: 1.7845 2022/08/20 02:22:24 - mmengine - INFO - Epoch(train) [255][1500/3757] lr: 1.5059e-05 eta: 0:29:24 time: 0.2941 data_time: 0.0176 memory: 6332 grad_norm: 8.6922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3366 loss: 1.3366 2022/08/20 02:22:53 - mmengine - INFO - Epoch(train) [255][1600/3757] lr: 1.5059e-05 eta: 0:28:55 time: 0.2922 data_time: 0.0178 memory: 6332 grad_norm: 8.6829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5466 loss: 1.5466 2022/08/20 02:23:23 - mmengine - INFO - Epoch(train) [255][1700/3757] lr: 1.5059e-05 eta: 0:28:25 time: 0.2933 data_time: 0.0188 memory: 6332 grad_norm: 8.5726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4496 loss: 1.4496 2022/08/20 02:23:30 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:23:53 - mmengine - INFO - Epoch(train) [255][1800/3757] lr: 1.5059e-05 eta: 0:27:56 time: 0.2941 data_time: 0.0185 memory: 6332 grad_norm: 8.5186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3079 loss: 1.3079 2022/08/20 02:24:22 - mmengine - INFO - Epoch(train) [255][1900/3757] lr: 1.5059e-05 eta: 0:27:27 time: 0.2919 data_time: 0.0181 memory: 6332 grad_norm: 8.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2721 loss: 1.2721 2022/08/20 02:24:52 - mmengine - INFO - Epoch(train) [255][2000/3757] lr: 1.5059e-05 eta: 0:26:57 time: 0.2997 data_time: 0.0177 memory: 6332 grad_norm: 8.7662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4738 loss: 1.4738 2022/08/20 02:25:21 - mmengine - INFO - Epoch(train) [255][2100/3757] lr: 1.5059e-05 eta: 0:26:28 time: 0.2938 data_time: 0.0185 memory: 6332 grad_norm: 8.5473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4732 loss: 1.4732 2022/08/20 02:25:51 - mmengine - INFO - Epoch(train) [255][2200/3757] lr: 1.5059e-05 eta: 0:25:59 time: 0.2929 data_time: 0.0178 memory: 6332 grad_norm: 8.6792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4737 loss: 1.4737 2022/08/20 02:26:21 - mmengine - INFO - Epoch(train) [255][2300/3757] lr: 1.5059e-05 eta: 0:25:29 time: 0.2931 data_time: 0.0175 memory: 6332 grad_norm: 8.7335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/08/20 02:26:50 - mmengine - INFO - Epoch(train) [255][2400/3757] lr: 1.5059e-05 eta: 0:25:00 time: 0.2913 data_time: 0.0174 memory: 6332 grad_norm: 8.4179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/08/20 02:27:20 - mmengine - INFO - Epoch(train) [255][2500/3757] lr: 1.5059e-05 eta: 0:24:31 time: 0.2927 data_time: 0.0181 memory: 6332 grad_norm: 8.8010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7032 loss: 1.7032 2022/08/20 02:27:50 - mmengine - INFO - Epoch(train) [255][2600/3757] lr: 1.5059e-05 eta: 0:24:01 time: 0.2921 data_time: 0.0186 memory: 6332 grad_norm: 8.8658 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5351 loss: 1.5351 2022/08/20 02:28:19 - mmengine - INFO - Epoch(train) [255][2700/3757] lr: 1.5059e-05 eta: 0:23:32 time: 0.2910 data_time: 0.0174 memory: 6332 grad_norm: 8.7347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5299 loss: 1.5299 2022/08/20 02:28:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:28:49 - mmengine - INFO - Epoch(train) [255][2800/3757] lr: 1.5059e-05 eta: 0:23:03 time: 0.2907 data_time: 0.0170 memory: 6332 grad_norm: 8.6879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/08/20 02:29:19 - mmengine - INFO - Epoch(train) [255][2900/3757] lr: 1.5059e-05 eta: 0:22:33 time: 0.2913 data_time: 0.0178 memory: 6332 grad_norm: 9.0529 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4163 loss: 1.4163 2022/08/20 02:29:48 - mmengine - INFO - Epoch(train) [255][3000/3757] lr: 1.5059e-05 eta: 0:22:04 time: 0.2882 data_time: 0.0162 memory: 6332 grad_norm: 8.7841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5088 loss: 1.5088 2022/08/20 02:30:18 - mmengine - INFO - Epoch(train) [255][3100/3757] lr: 1.5059e-05 eta: 0:21:35 time: 0.2919 data_time: 0.0179 memory: 6332 grad_norm: 8.5162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1948 loss: 1.1948 2022/08/20 02:30:48 - mmengine - INFO - Epoch(train) [255][3200/3757] lr: 1.5059e-05 eta: 0:21:05 time: 0.2899 data_time: 0.0175 memory: 6332 grad_norm: 8.6295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3920 loss: 1.3920 2022/08/20 02:31:18 - mmengine - INFO - Epoch(train) [255][3300/3757] lr: 1.5059e-05 eta: 0:20:36 time: 0.2940 data_time: 0.0183 memory: 6332 grad_norm: 8.8638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1690 loss: 1.1690 2022/08/20 02:31:47 - mmengine - INFO - Epoch(train) [255][3400/3757] lr: 1.5059e-05 eta: 0:20:07 time: 0.2901 data_time: 0.0179 memory: 6332 grad_norm: 8.7186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5978 loss: 1.5978 2022/08/20 02:32:17 - mmengine - INFO - Epoch(train) [255][3500/3757] lr: 1.5059e-05 eta: 0:19:37 time: 0.2892 data_time: 0.0165 memory: 6332 grad_norm: 8.5294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2644 loss: 1.2644 2022/08/20 02:32:46 - mmengine - INFO - Epoch(train) [255][3600/3757] lr: 1.5059e-05 eta: 0:19:08 time: 0.2905 data_time: 0.0188 memory: 6332 grad_norm: 8.6209 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5260 loss: 1.5260 2022/08/20 02:33:16 - mmengine - INFO - Epoch(train) [255][3700/3757] lr: 1.5059e-05 eta: 0:18:39 time: 0.2964 data_time: 0.0183 memory: 6332 grad_norm: 8.6763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/08/20 02:33:22 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:33:32 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:33:32 - mmengine - INFO - Epoch(train) [255][3757/3757] lr: 1.5059e-05 eta: 0:18:27 time: 0.2745 data_time: 0.0170 memory: 6332 grad_norm: 8.4835 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5231 loss: 1.5231 2022/08/20 02:33:55 - mmengine - INFO - Epoch(val) [255][100/310] eta: 0:00:49 time: 0.2343 data_time: 0.1404 memory: 1147 2022/08/20 02:34:15 - mmengine - INFO - Epoch(val) [255][200/310] eta: 0:00:19 time: 0.1783 data_time: 0.0851 memory: 1147 2022/08/20 02:34:36 - mmengine - INFO - Epoch(val) [255][300/310] eta: 0:00:02 time: 0.2020 data_time: 0.1099 memory: 1147 2022/08/20 02:34:39 - mmengine - INFO - Epoch(val) [255][310/310] acc/top1: 0.6784 acc/top5: 0.8758 acc/mean1: 0.6783 2022/08/20 02:34:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_251.pth is removed 2022/08/20 02:34:43 - mmengine - INFO - The best checkpoint with 0.6784 acc/top1 at 256 epoch is saved to best_acc/top1_epoch_256.pth. 2022/08/20 02:35:13 - mmengine - INFO - Epoch(train) [256][100/3757] lr: 3.7649e-06 eta: 0:17:52 time: 0.2936 data_time: 0.0185 memory: 6332 grad_norm: 8.3599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4180 loss: 1.4180 2022/08/20 02:35:43 - mmengine - INFO - Epoch(train) [256][200/3757] lr: 3.7649e-06 eta: 0:17:23 time: 0.2915 data_time: 0.0173 memory: 6332 grad_norm: 8.4340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3855 loss: 1.3855 2022/08/20 02:36:13 - mmengine - INFO - Epoch(train) [256][300/3757] lr: 3.7649e-06 eta: 0:16:54 time: 0.2942 data_time: 0.0207 memory: 6332 grad_norm: 8.8156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5052 loss: 1.5052 2022/08/20 02:36:42 - mmengine - INFO - Epoch(train) [256][400/3757] lr: 3.7649e-06 eta: 0:16:24 time: 0.2934 data_time: 0.0169 memory: 6332 grad_norm: 8.5381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3881 loss: 1.3881 2022/08/20 02:37:12 - mmengine - INFO - Epoch(train) [256][500/3757] lr: 3.7649e-06 eta: 0:15:55 time: 0.2932 data_time: 0.0195 memory: 6332 grad_norm: 8.6084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/08/20 02:37:41 - mmengine - INFO - Epoch(train) [256][600/3757] lr: 3.7649e-06 eta: 0:15:26 time: 0.2894 data_time: 0.0170 memory: 6332 grad_norm: 8.6307 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4211 loss: 1.4211 2022/08/20 02:38:11 - mmengine - INFO - Epoch(train) [256][700/3757] lr: 3.7649e-06 eta: 0:14:56 time: 0.2901 data_time: 0.0177 memory: 6332 grad_norm: 8.7759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2720 loss: 1.2720 2022/08/20 02:38:40 - mmengine - INFO - Epoch(train) [256][800/3757] lr: 3.7649e-06 eta: 0:14:27 time: 0.2896 data_time: 0.0177 memory: 6332 grad_norm: 8.6271 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/08/20 02:39:10 - mmengine - INFO - Epoch(train) [256][900/3757] lr: 3.7649e-06 eta: 0:13:58 time: 0.2900 data_time: 0.0182 memory: 6332 grad_norm: 8.6881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3599 loss: 1.3599 2022/08/20 02:39:29 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:39:40 - mmengine - INFO - Epoch(train) [256][1000/3757] lr: 3.7649e-06 eta: 0:13:28 time: 0.2896 data_time: 0.0174 memory: 6332 grad_norm: 8.7435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2249 loss: 1.2249 2022/08/20 02:40:09 - mmengine - INFO - Epoch(train) [256][1100/3757] lr: 3.7649e-06 eta: 0:12:59 time: 0.2908 data_time: 0.0170 memory: 6332 grad_norm: 8.8312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/08/20 02:40:39 - mmengine - INFO - Epoch(train) [256][1200/3757] lr: 3.7649e-06 eta: 0:12:30 time: 0.2892 data_time: 0.0174 memory: 6332 grad_norm: 8.2485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/08/20 02:41:08 - mmengine - INFO - Epoch(train) [256][1300/3757] lr: 3.7649e-06 eta: 0:12:00 time: 0.2909 data_time: 0.0175 memory: 6332 grad_norm: 8.8498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3959 loss: 1.3959 2022/08/20 02:41:38 - mmengine - INFO - Epoch(train) [256][1400/3757] lr: 3.7649e-06 eta: 0:11:31 time: 0.2931 data_time: 0.0180 memory: 6332 grad_norm: 8.2131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2604 loss: 1.2604 2022/08/20 02:42:07 - mmengine - INFO - Epoch(train) [256][1500/3757] lr: 3.7649e-06 eta: 0:11:02 time: 0.2901 data_time: 0.0176 memory: 6332 grad_norm: 8.8997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/08/20 02:42:37 - mmengine - INFO - Epoch(train) [256][1600/3757] lr: 3.7649e-06 eta: 0:10:32 time: 0.3000 data_time: 0.0188 memory: 6332 grad_norm: 8.4848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2335 loss: 1.2335 2022/08/20 02:43:07 - mmengine - INFO - Epoch(train) [256][1700/3757] lr: 3.7649e-06 eta: 0:10:03 time: 0.2917 data_time: 0.0181 memory: 6332 grad_norm: 8.7978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/08/20 02:43:36 - mmengine - INFO - Epoch(train) [256][1800/3757] lr: 3.7649e-06 eta: 0:09:34 time: 0.2940 data_time: 0.0192 memory: 6332 grad_norm: 9.0655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5372 loss: 1.5372 2022/08/20 02:44:06 - mmengine - INFO - Epoch(train) [256][1900/3757] lr: 3.7649e-06 eta: 0:09:04 time: 0.2922 data_time: 0.0171 memory: 6332 grad_norm: 8.6298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4537 loss: 1.4537 2022/08/20 02:44:26 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:44:36 - mmengine - INFO - Epoch(train) [256][2000/3757] lr: 3.7649e-06 eta: 0:08:35 time: 0.2987 data_time: 0.0189 memory: 6332 grad_norm: 8.8161 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/08/20 02:45:06 - mmengine - INFO - Epoch(train) [256][2100/3757] lr: 3.7649e-06 eta: 0:08:06 time: 0.2928 data_time: 0.0181 memory: 6332 grad_norm: 8.7414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5560 loss: 1.5560 2022/08/20 02:45:36 - mmengine - INFO - Epoch(train) [256][2200/3757] lr: 3.7649e-06 eta: 0:07:36 time: 0.2999 data_time: 0.0209 memory: 6332 grad_norm: 8.5484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6414 loss: 1.6414 2022/08/20 02:46:06 - mmengine - INFO - Epoch(train) [256][2300/3757] lr: 3.7649e-06 eta: 0:07:07 time: 0.2941 data_time: 0.0184 memory: 6332 grad_norm: 8.5656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6631 loss: 1.6631 2022/08/20 02:46:36 - mmengine - INFO - Epoch(train) [256][2400/3757] lr: 3.7649e-06 eta: 0:06:38 time: 0.2979 data_time: 0.0182 memory: 6332 grad_norm: 8.3738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/08/20 02:47:06 - mmengine - INFO - Epoch(train) [256][2500/3757] lr: 3.7649e-06 eta: 0:06:08 time: 0.2954 data_time: 0.0198 memory: 6332 grad_norm: 8.5110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2830 loss: 1.2830 2022/08/20 02:47:35 - mmengine - INFO - Epoch(train) [256][2600/3757] lr: 3.7649e-06 eta: 0:05:39 time: 0.2924 data_time: 0.0193 memory: 6332 grad_norm: 8.2421 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1600 loss: 1.1600 2022/08/20 02:48:05 - mmengine - INFO - Epoch(train) [256][2700/3757] lr: 3.7649e-06 eta: 0:05:10 time: 0.2902 data_time: 0.0173 memory: 6332 grad_norm: 8.6901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3481 loss: 1.3481 2022/08/20 02:48:34 - mmengine - INFO - Epoch(train) [256][2800/3757] lr: 3.7649e-06 eta: 0:04:40 time: 0.2959 data_time: 0.0198 memory: 6332 grad_norm: 8.6327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4041 loss: 1.4041 2022/08/20 02:49:04 - mmengine - INFO - Epoch(train) [256][2900/3757] lr: 3.7649e-06 eta: 0:04:11 time: 0.2933 data_time: 0.0184 memory: 6332 grad_norm: 8.3351 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5008 loss: 1.5008 2022/08/20 02:49:23 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:49:33 - mmengine - INFO - Epoch(train) [256][3000/3757] lr: 3.7649e-06 eta: 0:03:42 time: 0.2909 data_time: 0.0168 memory: 6332 grad_norm: 8.5996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1353 loss: 1.1353 2022/08/20 02:50:03 - mmengine - INFO - Epoch(train) [256][3100/3757] lr: 3.7649e-06 eta: 0:03:12 time: 0.2939 data_time: 0.0179 memory: 6332 grad_norm: 8.7058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2724 loss: 1.2724 2022/08/20 02:50:32 - mmengine - INFO - Epoch(train) [256][3200/3757] lr: 3.7649e-06 eta: 0:02:43 time: 0.2912 data_time: 0.0196 memory: 6332 grad_norm: 8.5497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5496 loss: 1.5496 2022/08/20 02:51:02 - mmengine - INFO - Epoch(train) [256][3300/3757] lr: 3.7649e-06 eta: 0:02:14 time: 0.2908 data_time: 0.0187 memory: 6332 grad_norm: 8.5738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5108 loss: 1.5108 2022/08/20 02:51:32 - mmengine - INFO - Epoch(train) [256][3400/3757] lr: 3.7649e-06 eta: 0:01:44 time: 0.2896 data_time: 0.0180 memory: 6332 grad_norm: 8.6850 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5864 loss: 1.5864 2022/08/20 02:52:02 - mmengine - INFO - Epoch(train) [256][3500/3757] lr: 3.7649e-06 eta: 0:01:15 time: 0.2892 data_time: 0.0176 memory: 6332 grad_norm: 8.6814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/08/20 02:52:31 - mmengine - INFO - Epoch(train) [256][3600/3757] lr: 3.7649e-06 eta: 0:00:46 time: 0.2899 data_time: 0.0176 memory: 6332 grad_norm: 9.0014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/08/20 02:53:01 - mmengine - INFO - Epoch(train) [256][3700/3757] lr: 3.7649e-06 eta: 0:00:16 time: 0.2903 data_time: 0.0172 memory: 6332 grad_norm: 8.7191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6328 loss: 1.6328 2022/08/20 02:53:17 - mmengine - INFO - Exp name: slowfast_r50_4x16x1_256e_8xb8_kinetics400_rgb_20220818_215807 2022/08/20 02:53:17 - mmengine - INFO - Epoch(train) [256][3757/3757] lr: 3.7649e-06 eta: 0:00:04 time: 0.2774 data_time: 0.0168 memory: 6332 grad_norm: 8.3510 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2886 loss: 1.2886 2022/08/20 02:53:18 - mmengine - INFO - Saving checkpoint at 256 epochs