2022/08/08 14:32:35 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/08 14:32:35 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb by HardDiskBackend. 2022/08/08 14:32:35 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:34:21 - mmengine - INFO - Epoch(train) [1][20/673] lr: 2.0000e-03 eta: 2 days, 1:41:43 time: 5.3198 data_time: 4.8962 memory: 11037 grad_norm: 4.5445 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1890 loss: 5.1890 2022/08/08 14:34:30 - mmengine - INFO - Epoch(train) [1][40/673] lr: 2.0000e-03 eta: 1 day, 2:58:33 time: 0.4591 data_time: 0.1452 memory: 11037 grad_norm: 4.5064 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1275 loss: 5.1275 2022/08/08 14:34:42 - mmengine - INFO - Epoch(train) [1][60/673] lr: 2.0000e-03 eta: 19:49:20 time: 0.5946 data_time: 0.1534 memory: 11037 grad_norm: 3.5388 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1231 loss: 5.1231 2022/08/08 14:34:51 - mmengine - INFO - Epoch(train) [1][80/673] lr: 2.0000e-03 eta: 15:53:36 time: 0.4442 data_time: 0.0877 memory: 11037 grad_norm: 3.5010 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0657 loss: 5.0657 2022/08/08 14:35:03 - mmengine - INFO - Epoch(train) [1][100/673] lr: 2.0000e-03 eta: 13:46:39 time: 0.5743 data_time: 0.0991 memory: 11037 grad_norm: 3.6219 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0610 loss: 5.0610 2022/08/08 14:35:12 - mmengine - INFO - Epoch(train) [1][120/673] lr: 2.0000e-03 eta: 12:10:23 time: 0.4501 data_time: 0.0499 memory: 11037 grad_norm: 3.9046 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0784 loss: 5.0784 2022/08/08 14:35:23 - mmengine - INFO - Epoch(train) [1][140/673] lr: 2.0000e-03 eta: 11:11:44 time: 0.5774 data_time: 0.0846 memory: 11037 grad_norm: 4.9153 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0011 loss: 5.0011 2022/08/08 14:35:32 - mmengine - INFO - Epoch(train) [1][160/673] lr: 2.0000e-03 eta: 10:19:08 time: 0.4546 data_time: 0.0170 memory: 11037 grad_norm: 5.6879 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.9371 loss: 4.9371 2022/08/08 14:35:44 - mmengine - INFO - Epoch(train) [1][180/673] lr: 2.0000e-03 eta: 9:45:23 time: 0.5708 data_time: 0.0162 memory: 11037 grad_norm: 7.0145 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.9922 loss: 4.9922 2022/08/08 14:35:53 - mmengine - INFO - Epoch(train) [1][200/673] lr: 2.0000e-03 eta: 9:11:23 time: 0.4458 data_time: 0.0309 memory: 11037 grad_norm: 7.3916 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.9110 loss: 4.9110 2022/08/08 14:36:04 - mmengine - INFO - Epoch(train) [1][220/673] lr: 2.0000e-03 eta: 8:49:02 time: 0.5541 data_time: 0.0170 memory: 11037 grad_norm: 7.3943 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 4.7740 loss: 4.7740 2022/08/08 14:36:13 - mmengine - INFO - Epoch(train) [1][240/673] lr: 2.0000e-03 eta: 8:25:37 time: 0.4517 data_time: 0.0184 memory: 11037 grad_norm: 8.1081 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8319 loss: 4.8319 2022/08/08 14:36:24 - mmengine - INFO - Epoch(train) [1][260/673] lr: 2.0000e-03 eta: 8:09:40 time: 0.5425 data_time: 0.0180 memory: 11037 grad_norm: 8.4488 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.7173 loss: 4.7173 2022/08/08 14:36:33 - mmengine - INFO - Epoch(train) [1][280/673] lr: 2.0000e-03 eta: 7:52:47 time: 0.4624 data_time: 0.0172 memory: 11037 grad_norm: 8.7980 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.6845 loss: 4.6845 2022/08/08 14:36:44 - mmengine - INFO - Epoch(train) [1][300/673] lr: 2.0000e-03 eta: 7:40:52 time: 0.5359 data_time: 0.0156 memory: 11037 grad_norm: 8.5731 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.7010 loss: 4.7010 2022/08/08 14:36:53 - mmengine - INFO - Epoch(train) [1][320/673] lr: 2.0000e-03 eta: 7:27:58 time: 0.4656 data_time: 0.0185 memory: 11037 grad_norm: 9.2077 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.4908 loss: 4.4908 2022/08/08 14:37:04 - mmengine - INFO - Epoch(train) [1][340/673] lr: 2.0000e-03 eta: 7:19:09 time: 0.5448 data_time: 0.0219 memory: 11037 grad_norm: 9.1748 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.5875 loss: 4.5875 2022/08/08 14:37:13 - mmengine - INFO - Epoch(train) [1][360/673] lr: 2.0000e-03 eta: 7:08:43 time: 0.4614 data_time: 0.0179 memory: 11037 grad_norm: 9.5059 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4347 loss: 4.4347 2022/08/08 14:37:24 - mmengine - INFO - Epoch(train) [1][380/673] lr: 2.0000e-03 eta: 7:02:37 time: 0.5721 data_time: 0.0154 memory: 11037 grad_norm: 9.1616 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 4.3864 loss: 4.3864 2022/08/08 14:37:33 - mmengine - INFO - Epoch(train) [1][400/673] lr: 2.0000e-03 eta: 6:53:45 time: 0.4515 data_time: 0.0286 memory: 11037 grad_norm: 9.3670 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.4985 loss: 4.4985 2022/08/08 14:37:44 - mmengine - INFO - Epoch(train) [1][420/673] lr: 2.0000e-03 eta: 6:48:17 time: 0.5489 data_time: 0.0155 memory: 11037 grad_norm: 9.6822 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.3577 loss: 4.3577 2022/08/08 14:37:54 - mmengine - INFO - Epoch(train) [1][440/673] lr: 2.0000e-03 eta: 6:41:16 time: 0.4679 data_time: 0.0187 memory: 11037 grad_norm: 9.9497 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.3223 loss: 4.3223 2022/08/08 14:38:06 - mmengine - INFO - Epoch(train) [1][460/673] lr: 2.0000e-03 eta: 6:37:52 time: 0.5939 data_time: 0.0251 memory: 11037 grad_norm: 9.8347 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.2993 loss: 4.2993 2022/08/08 14:38:15 - mmengine - INFO - Epoch(train) [1][480/673] lr: 2.0000e-03 eta: 6:31:44 time: 0.4631 data_time: 0.0181 memory: 11037 grad_norm: 9.2567 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.3714 loss: 4.3714 2022/08/08 14:38:26 - mmengine - INFO - Epoch(train) [1][500/673] lr: 2.0000e-03 eta: 6:28:07 time: 0.5560 data_time: 0.0169 memory: 11037 grad_norm: 9.7895 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5071 loss: 4.5071 2022/08/08 14:38:36 - mmengine - INFO - Epoch(train) [1][520/673] lr: 2.0000e-03 eta: 6:23:15 time: 0.4843 data_time: 0.0188 memory: 11037 grad_norm: 9.7391 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.2844 loss: 4.2844 2022/08/08 14:38:47 - mmengine - INFO - Epoch(train) [1][540/673] lr: 2.0000e-03 eta: 6:20:39 time: 0.5780 data_time: 0.0176 memory: 11037 grad_norm: 10.1106 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.1916 loss: 4.1916 2022/08/08 14:38:57 - mmengine - INFO - Epoch(train) [1][560/673] lr: 2.0000e-03 eta: 6:16:16 time: 0.4792 data_time: 0.0238 memory: 11037 grad_norm: 10.2181 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3439 loss: 4.3439 2022/08/08 14:39:09 - mmengine - INFO - Epoch(train) [1][580/673] lr: 2.0000e-03 eta: 6:14:26 time: 0.5977 data_time: 0.0168 memory: 11037 grad_norm: 9.8173 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2324 loss: 4.2324 2022/08/08 14:39:18 - mmengine - INFO - Epoch(train) [1][600/673] lr: 2.0000e-03 eta: 6:09:53 time: 0.4438 data_time: 0.0171 memory: 11037 grad_norm: 10.1148 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.2743 loss: 4.2743 2022/08/08 14:39:30 - mmengine - INFO - Epoch(train) [1][620/673] lr: 2.0000e-03 eta: 6:08:24 time: 0.6008 data_time: 0.0279 memory: 11037 grad_norm: 9.7653 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 4.2473 loss: 4.2473 2022/08/08 14:39:39 - mmengine - INFO - Epoch(train) [1][640/673] lr: 2.0000e-03 eta: 6:04:50 time: 0.4744 data_time: 0.0339 memory: 11037 grad_norm: 9.7142 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2807 loss: 4.2807 2022/08/08 14:39:50 - mmengine - INFO - Epoch(train) [1][660/673] lr: 2.0000e-03 eta: 6:02:44 time: 0.5504 data_time: 0.0508 memory: 11037 grad_norm: 9.7611 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.2112 loss: 4.2112 2022/08/08 14:39:56 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:39:56 - mmengine - INFO - Epoch(train) [1][673/673] lr: 2.0000e-03 eta: 6:02:44 time: 0.4642 data_time: 0.0650 memory: 11037 grad_norm: 11.4577 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.2915 loss: 4.2915 2022/08/08 14:39:56 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/08 14:41:33 - mmengine - INFO - Epoch(val) [1][20/91] eta: 0:05:37 time: 4.7552 data_time: 4.6774 memory: 1858 2022/08/08 14:41:42 - mmengine - INFO - Epoch(val) [1][40/91] eta: 0:00:22 time: 0.4335 data_time: 0.3666 memory: 1858 2022/08/08 14:41:53 - mmengine - INFO - Epoch(val) [1][60/91] eta: 0:00:18 time: 0.5852 data_time: 0.5269 memory: 1858 2022/08/08 14:42:02 - mmengine - INFO - Epoch(val) [1][80/91] eta: 0:00:04 time: 0.4209 data_time: 0.3642 memory: 1858 2022/08/08 14:42:10 - mmengine - INFO - Epoch(val) [1][91/91] acc/top1: 0.0973 acc/top5: 0.2646 acc/mean1: 0.0763 2022/08/08 14:42:11 - mmengine - INFO - The best checkpoint with 0.0973 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 14:42:11 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:42:23 - mmengine - INFO - Epoch(train) [2][20/673] lr: 2.0000e-03 eta: 5:54:17 time: 0.5778 data_time: 0.3661 memory: 11037 grad_norm: 9.7444 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 4.1135 loss: 4.1135 2022/08/08 14:42:31 - mmengine - INFO - Epoch(train) [2][40/673] lr: 2.0000e-03 eta: 5:50:21 time: 0.4043 data_time: 0.1868 memory: 11037 grad_norm: 9.3832 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.1342 loss: 4.1342 2022/08/08 14:42:40 - mmengine - INFO - Epoch(train) [2][60/673] lr: 2.0000e-03 eta: 5:47:20 time: 0.4504 data_time: 0.2413 memory: 11037 grad_norm: 10.2964 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0116 loss: 4.0116 2022/08/08 14:42:48 - mmengine - INFO - Epoch(train) [2][80/673] lr: 2.0000e-03 eta: 5:43:49 time: 0.4067 data_time: 0.1890 memory: 11037 grad_norm: 10.5813 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.0117 loss: 4.0117 2022/08/08 14:42:56 - mmengine - INFO - Epoch(train) [2][100/673] lr: 2.0000e-03 eta: 5:40:31 time: 0.4092 data_time: 0.2049 memory: 11037 grad_norm: 9.7038 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.9129 loss: 3.9129 2022/08/08 14:43:04 - mmengine - INFO - Epoch(train) [2][120/673] lr: 2.0000e-03 eta: 5:36:50 time: 0.3698 data_time: 0.1409 memory: 11037 grad_norm: 10.5028 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.9711 loss: 3.9711 2022/08/08 14:43:12 - mmengine - INFO - Epoch(train) [2][140/673] lr: 2.0000e-03 eta: 5:34:20 time: 0.4447 data_time: 0.2361 memory: 11037 grad_norm: 10.2797 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.0092 loss: 4.0092 2022/08/08 14:43:20 - mmengine - INFO - Epoch(train) [2][160/673] lr: 2.0000e-03 eta: 5:30:48 time: 0.3562 data_time: 0.1561 memory: 11037 grad_norm: 10.0935 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.0772 loss: 4.0772 2022/08/08 14:43:30 - mmengine - INFO - Epoch(train) [2][180/673] lr: 2.0000e-03 eta: 5:29:21 time: 0.5085 data_time: 0.2898 memory: 11037 grad_norm: 10.1231 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.0968 loss: 4.0968 2022/08/08 14:43:37 - mmengine - INFO - Epoch(train) [2][200/673] lr: 2.0000e-03 eta: 5:26:02 time: 0.3529 data_time: 0.1521 memory: 11037 grad_norm: 10.8988 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.8535 loss: 3.8535 2022/08/08 14:43:45 - mmengine - INFO - Epoch(train) [2][220/673] lr: 2.0000e-03 eta: 5:23:44 time: 0.4253 data_time: 0.2230 memory: 11037 grad_norm: 9.6922 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9186 loss: 3.9186 2022/08/08 14:43:53 - mmengine - INFO - Epoch(train) [2][240/673] lr: 2.0000e-03 eta: 5:21:11 time: 0.3957 data_time: 0.1815 memory: 11037 grad_norm: 10.9171 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0720 loss: 4.0720 2022/08/08 14:44:04 - mmengine - INFO - Epoch(train) [2][260/673] lr: 2.0000e-03 eta: 5:20:17 time: 0.5294 data_time: 0.0942 memory: 11037 grad_norm: 10.4359 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.7729 loss: 3.7729 2022/08/08 14:44:11 - mmengine - INFO - Epoch(train) [2][280/673] lr: 2.0000e-03 eta: 5:17:31 time: 0.3621 data_time: 0.0198 memory: 11037 grad_norm: 10.4124 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 3.9200 loss: 3.9200 2022/08/08 14:44:19 - mmengine - INFO - Epoch(train) [2][300/673] lr: 2.0000e-03 eta: 5:15:27 time: 0.4154 data_time: 0.0174 memory: 11037 grad_norm: 10.3930 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.7071 loss: 3.7071 2022/08/08 14:44:27 - mmengine - INFO - Epoch(train) [2][320/673] lr: 2.0000e-03 eta: 5:13:12 time: 0.3916 data_time: 0.0525 memory: 11037 grad_norm: 10.4607 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7479 loss: 3.7479 2022/08/08 14:44:31 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:44:36 - mmengine - INFO - Epoch(train) [2][340/673] lr: 2.0000e-03 eta: 5:11:30 time: 0.4347 data_time: 0.0850 memory: 11037 grad_norm: 10.0619 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8193 loss: 3.8193 2022/08/08 14:44:44 - mmengine - INFO - Epoch(train) [2][360/673] lr: 2.0000e-03 eta: 5:09:24 time: 0.3920 data_time: 0.0451 memory: 11037 grad_norm: 10.0830 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 3.8895 loss: 3.8895 2022/08/08 14:44:52 - mmengine - INFO - Epoch(train) [2][380/673] lr: 2.0000e-03 eta: 5:07:46 time: 0.4285 data_time: 0.0147 memory: 11037 grad_norm: 10.5206 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.7905 loss: 3.7905 2022/08/08 14:45:00 - mmengine - INFO - Epoch(train) [2][400/673] lr: 2.0000e-03 eta: 5:05:50 time: 0.3952 data_time: 0.0174 memory: 11037 grad_norm: 10.7114 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.7671 loss: 3.7671 2022/08/08 14:45:09 - mmengine - INFO - Epoch(train) [2][420/673] lr: 2.0000e-03 eta: 5:04:28 time: 0.4442 data_time: 0.0182 memory: 11037 grad_norm: 10.0041 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.8059 loss: 3.8059 2022/08/08 14:45:17 - mmengine - INFO - Epoch(train) [2][440/673] lr: 2.0000e-03 eta: 5:02:47 time: 0.4065 data_time: 0.0192 memory: 11037 grad_norm: 10.1530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9011 loss: 3.9011 2022/08/08 14:45:26 - mmengine - INFO - Epoch(train) [2][460/673] lr: 2.0000e-03 eta: 5:01:18 time: 0.4241 data_time: 0.0158 memory: 11037 grad_norm: 10.3450 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.8956 loss: 3.8956 2022/08/08 14:45:34 - mmengine - INFO - Epoch(train) [2][480/673] lr: 2.0000e-03 eta: 4:59:54 time: 0.4254 data_time: 0.0443 memory: 11037 grad_norm: 10.5981 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7487 loss: 3.7487 2022/08/08 14:45:42 - mmengine - INFO - Epoch(train) [2][500/673] lr: 2.0000e-03 eta: 4:58:08 time: 0.3823 data_time: 0.0134 memory: 11037 grad_norm: 10.7424 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.7213 loss: 3.7213 2022/08/08 14:45:51 - mmengine - INFO - Epoch(train) [2][520/673] lr: 2.0000e-03 eta: 4:56:54 time: 0.4363 data_time: 0.0803 memory: 11037 grad_norm: 10.2798 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.6469 loss: 3.6469 2022/08/08 14:45:58 - mmengine - INFO - Epoch(train) [2][540/673] lr: 2.0000e-03 eta: 4:55:16 time: 0.3852 data_time: 0.0533 memory: 11037 grad_norm: 9.9629 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.9520 loss: 3.9520 2022/08/08 14:46:06 - mmengine - INFO - Epoch(train) [2][560/673] lr: 2.0000e-03 eta: 4:53:52 time: 0.4074 data_time: 0.0922 memory: 11037 grad_norm: 10.9491 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.7068 loss: 3.7068 2022/08/08 14:46:16 - mmengine - INFO - Epoch(train) [2][580/673] lr: 2.0000e-03 eta: 4:52:59 time: 0.4631 data_time: 0.0938 memory: 11037 grad_norm: 10.7547 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.8082 loss: 3.8082 2022/08/08 14:46:24 - mmengine - INFO - Epoch(train) [2][600/673] lr: 2.0000e-03 eta: 4:51:30 time: 0.3881 data_time: 0.0254 memory: 11037 grad_norm: 10.4895 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7132 loss: 3.7132 2022/08/08 14:46:32 - mmengine - INFO - Epoch(train) [2][620/673] lr: 2.0000e-03 eta: 4:50:21 time: 0.4235 data_time: 0.0195 memory: 11037 grad_norm: 10.2603 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 3.7180 loss: 3.7180 2022/08/08 14:46:40 - mmengine - INFO - Epoch(train) [2][640/673] lr: 2.0000e-03 eta: 4:48:56 time: 0.3891 data_time: 0.0238 memory: 11037 grad_norm: 10.3781 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.6565 loss: 3.6565 2022/08/08 14:46:49 - mmengine - INFO - Epoch(train) [2][660/673] lr: 2.0000e-03 eta: 4:48:09 time: 0.4606 data_time: 0.0183 memory: 11037 grad_norm: 10.9081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6214 loss: 3.6214 2022/08/08 14:46:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:46:53 - mmengine - INFO - Epoch(train) [2][673/673] lr: 2.0000e-03 eta: 4:48:09 time: 0.3679 data_time: 0.0155 memory: 11037 grad_norm: 11.8798 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 3.5399 loss: 3.5399 2022/08/08 14:46:53 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/08 14:46:56 - mmengine - INFO - Epoch(val) [2][20/91] eta: 0:00:05 time: 0.0769 data_time: 0.0176 memory: 1858 2022/08/08 14:46:58 - mmengine - INFO - Epoch(val) [2][40/91] eta: 0:00:03 time: 0.0708 data_time: 0.0117 memory: 1858 2022/08/08 14:46:59 - mmengine - INFO - Epoch(val) [2][60/91] eta: 0:00:02 time: 0.0664 data_time: 0.0107 memory: 1858 2022/08/08 14:47:00 - mmengine - INFO - Epoch(val) [2][80/91] eta: 0:00:00 time: 0.0626 data_time: 0.0087 memory: 1858 2022/08/08 14:47:01 - mmengine - INFO - Epoch(val) [2][91/91] acc/top1: 0.1463 acc/top5: 0.3715 acc/mean1: 0.1299 2022/08/08 14:47:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 14:47:03 - mmengine - INFO - The best checkpoint with 0.1463 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 14:47:03 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:47:12 - mmengine - INFO - Epoch(train) [3][20/673] lr: 2.0000e-03 eta: 4:44:27 time: 0.4501 data_time: 0.1838 memory: 11037 grad_norm: 11.1940 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 3.6120 loss: 3.6120 2022/08/08 14:47:18 - mmengine - INFO - Epoch(train) [3][40/673] lr: 2.0000e-03 eta: 4:42:30 time: 0.3015 data_time: 0.0760 memory: 11037 grad_norm: 10.3322 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.7081 loss: 3.7081 2022/08/08 14:47:25 - mmengine - INFO - Epoch(train) [3][60/673] lr: 2.0000e-03 eta: 4:41:04 time: 0.3598 data_time: 0.0271 memory: 11037 grad_norm: 10.5993 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.5337 loss: 3.5337 2022/08/08 14:47:31 - mmengine - INFO - Epoch(train) [3][80/673] lr: 2.0000e-03 eta: 4:39:22 time: 0.3200 data_time: 0.0348 memory: 11037 grad_norm: 10.5995 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 3.6657 loss: 3.6657 2022/08/08 14:47:38 - mmengine - INFO - Epoch(train) [3][100/673] lr: 2.0000e-03 eta: 4:37:50 time: 0.3377 data_time: 0.0663 memory: 11037 grad_norm: 10.7854 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 3.6170 loss: 3.6170 2022/08/08 14:47:45 - mmengine - INFO - Epoch(train) [3][120/673] lr: 2.0000e-03 eta: 4:36:20 time: 0.3359 data_time: 0.0166 memory: 11037 grad_norm: 10.8786 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5644 loss: 3.5644 2022/08/08 14:47:52 - mmengine - INFO - Epoch(train) [3][140/673] lr: 2.0000e-03 eta: 4:34:54 time: 0.3401 data_time: 0.0175 memory: 11037 grad_norm: 10.7622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4707 loss: 3.4707 2022/08/08 14:47:58 - mmengine - INFO - Epoch(train) [3][160/673] lr: 2.0000e-03 eta: 4:33:16 time: 0.3076 data_time: 0.0181 memory: 11037 grad_norm: 10.8899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5734 loss: 3.5734 2022/08/08 14:48:05 - mmengine - INFO - Epoch(train) [3][180/673] lr: 2.0000e-03 eta: 4:32:13 time: 0.3847 data_time: 0.0240 memory: 11037 grad_norm: 11.0686 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.4338 loss: 3.4338 2022/08/08 14:48:12 - mmengine - INFO - Epoch(train) [3][200/673] lr: 2.0000e-03 eta: 4:30:59 time: 0.3547 data_time: 0.0218 memory: 11037 grad_norm: 11.0329 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5786 loss: 3.5786 2022/08/08 14:48:21 - mmengine - INFO - Epoch(train) [3][220/673] lr: 2.0000e-03 eta: 4:30:09 time: 0.4092 data_time: 0.0213 memory: 11037 grad_norm: 10.4482 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.4919 loss: 3.4919 2022/08/08 14:48:27 - mmengine - INFO - Epoch(train) [3][240/673] lr: 2.0000e-03 eta: 4:28:41 time: 0.3128 data_time: 0.0182 memory: 11037 grad_norm: 10.7025 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.6085 loss: 3.6085 2022/08/08 14:48:35 - mmengine - INFO - Epoch(train) [3][260/673] lr: 2.0000e-03 eta: 4:27:42 time: 0.3799 data_time: 0.0157 memory: 11037 grad_norm: 10.9356 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5474 loss: 3.5474 2022/08/08 14:48:41 - mmengine - INFO - Epoch(train) [3][280/673] lr: 2.0000e-03 eta: 4:26:16 time: 0.3093 data_time: 0.0204 memory: 11037 grad_norm: 10.5120 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.6061 loss: 3.6061 2022/08/08 14:48:49 - mmengine - INFO - Epoch(train) [3][300/673] lr: 2.0000e-03 eta: 4:25:38 time: 0.4262 data_time: 0.0213 memory: 11037 grad_norm: 10.9261 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5087 loss: 3.5087 2022/08/08 14:48:55 - mmengine - INFO - Epoch(train) [3][320/673] lr: 2.0000e-03 eta: 4:24:10 time: 0.2933 data_time: 0.0181 memory: 11037 grad_norm: 11.0635 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6227 loss: 3.6227 2022/08/08 14:49:03 - mmengine - INFO - Epoch(train) [3][340/673] lr: 2.0000e-03 eta: 4:23:18 time: 0.3860 data_time: 0.0189 memory: 11037 grad_norm: 10.6715 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 3.6246 loss: 3.6246 2022/08/08 14:49:10 - mmengine - INFO - Epoch(train) [3][360/673] lr: 2.0000e-03 eta: 4:22:12 time: 0.3440 data_time: 0.0213 memory: 11037 grad_norm: 10.5330 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.5377 loss: 3.5377 2022/08/08 14:49:17 - mmengine - INFO - Epoch(train) [3][380/673] lr: 2.0000e-03 eta: 4:21:17 time: 0.3703 data_time: 0.0245 memory: 11037 grad_norm: 10.8936 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4619 loss: 3.4619 2022/08/08 14:49:24 - mmengine - INFO - Epoch(train) [3][400/673] lr: 2.0000e-03 eta: 4:20:06 time: 0.3239 data_time: 0.0169 memory: 11037 grad_norm: 10.4865 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5010 loss: 3.5010 2022/08/08 14:49:31 - mmengine - INFO - Epoch(train) [3][420/673] lr: 2.0000e-03 eta: 4:19:15 time: 0.3741 data_time: 0.0198 memory: 11037 grad_norm: 10.4465 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.4954 loss: 3.4954 2022/08/08 14:49:38 - mmengine - INFO - Epoch(train) [3][440/673] lr: 2.0000e-03 eta: 4:18:09 time: 0.3326 data_time: 0.0186 memory: 11037 grad_norm: 10.5277 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.4954 loss: 3.4954 2022/08/08 14:49:45 - mmengine - INFO - Epoch(train) [3][460/673] lr: 2.0000e-03 eta: 4:17:09 time: 0.3427 data_time: 0.0207 memory: 11037 grad_norm: 11.2590 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4515 loss: 3.4515 2022/08/08 14:49:52 - mmengine - INFO - Epoch(train) [3][480/673] lr: 2.0000e-03 eta: 4:16:15 time: 0.3569 data_time: 0.0165 memory: 11037 grad_norm: 10.6841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6228 loss: 3.6228 2022/08/08 14:49:58 - mmengine - INFO - Epoch(train) [3][500/673] lr: 2.0000e-03 eta: 4:15:12 time: 0.3280 data_time: 0.0208 memory: 11037 grad_norm: 10.5196 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.5432 loss: 3.5432 2022/08/08 14:50:05 - mmengine - INFO - Epoch(train) [3][520/673] lr: 2.0000e-03 eta: 4:14:15 time: 0.3442 data_time: 0.0184 memory: 11037 grad_norm: 10.8262 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.5855 loss: 3.5855 2022/08/08 14:50:13 - mmengine - INFO - Epoch(train) [3][540/673] lr: 2.0000e-03 eta: 4:13:34 time: 0.3853 data_time: 0.0243 memory: 11037 grad_norm: 10.5561 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.4616 loss: 3.4616 2022/08/08 14:50:20 - mmengine - INFO - Epoch(train) [3][560/673] lr: 2.0000e-03 eta: 4:12:43 time: 0.3541 data_time: 0.0156 memory: 11037 grad_norm: 10.9928 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2165 loss: 3.2165 2022/08/08 14:50:26 - mmengine - INFO - Epoch(train) [3][580/673] lr: 2.0000e-03 eta: 4:11:41 time: 0.3193 data_time: 0.0196 memory: 11037 grad_norm: 10.7023 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4984 loss: 3.4984 2022/08/08 14:50:33 - mmengine - INFO - Epoch(train) [3][600/673] lr: 2.0000e-03 eta: 4:10:52 time: 0.3535 data_time: 0.0176 memory: 11037 grad_norm: 10.2871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4121 loss: 3.4121 2022/08/08 14:50:40 - mmengine - INFO - Epoch(train) [3][620/673] lr: 2.0000e-03 eta: 4:09:53 time: 0.3232 data_time: 0.0186 memory: 11037 grad_norm: 10.8499 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 3.3716 loss: 3.3716 2022/08/08 14:50:46 - mmengine - INFO - Epoch(train) [3][640/673] lr: 2.0000e-03 eta: 4:08:56 time: 0.3243 data_time: 0.0241 memory: 11037 grad_norm: 10.8345 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4723 loss: 3.4723 2022/08/08 14:50:51 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:50:53 - mmengine - INFO - Epoch(train) [3][660/673] lr: 2.0000e-03 eta: 4:08:09 time: 0.3530 data_time: 0.0176 memory: 11037 grad_norm: 10.6247 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4296 loss: 3.4296 2022/08/08 14:50:58 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:50:58 - mmengine - INFO - Epoch(train) [3][673/673] lr: 2.0000e-03 eta: 4:08:09 time: 0.3567 data_time: 0.0157 memory: 11037 grad_norm: 12.2064 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5206 loss: 3.5206 2022/08/08 14:50:58 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 14:51:01 - mmengine - INFO - Epoch(val) [3][20/91] eta: 0:00:05 time: 0.0795 data_time: 0.0189 memory: 1858 2022/08/08 14:51:03 - mmengine - INFO - Epoch(val) [3][40/91] eta: 0:00:03 time: 0.0706 data_time: 0.0115 memory: 1858 2022/08/08 14:51:04 - mmengine - INFO - Epoch(val) [3][60/91] eta: 0:00:02 time: 0.0668 data_time: 0.0108 memory: 1858 2022/08/08 14:51:05 - mmengine - INFO - Epoch(val) [3][80/91] eta: 0:00:00 time: 0.0641 data_time: 0.0090 memory: 1858 2022/08/08 14:51:06 - mmengine - INFO - Epoch(val) [3][91/91] acc/top1: 0.1708 acc/top5: 0.4077 acc/mean1: 0.1518 2022/08/08 14:51:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 14:51:08 - mmengine - INFO - The best checkpoint with 0.1708 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/08 14:51:08 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:51:16 - mmengine - INFO - Epoch(train) [4][20/673] lr: 2.0000e-03 eta: 4:05:55 time: 0.3929 data_time: 0.1909 memory: 11037 grad_norm: 11.0345 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2816 loss: 3.2816 2022/08/08 14:51:22 - mmengine - INFO - Epoch(train) [4][40/673] lr: 2.0000e-03 eta: 4:04:48 time: 0.2797 data_time: 0.0688 memory: 11037 grad_norm: 11.3938 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.3185 loss: 3.3185 2022/08/08 14:51:27 - mmengine - INFO - Epoch(train) [4][60/673] lr: 2.0000e-03 eta: 4:03:45 time: 0.2862 data_time: 0.0632 memory: 11037 grad_norm: 10.6871 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.3414 loss: 3.3414 2022/08/08 14:51:33 - mmengine - INFO - Epoch(train) [4][80/673] lr: 2.0000e-03 eta: 4:02:44 time: 0.2938 data_time: 0.0526 memory: 11037 grad_norm: 10.9695 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3369 loss: 3.3369 2022/08/08 14:51:39 - mmengine - INFO - Epoch(train) [4][100/673] lr: 2.0000e-03 eta: 4:01:48 time: 0.3045 data_time: 0.0739 memory: 11037 grad_norm: 10.8844 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2908 loss: 3.2908 2022/08/08 14:51:44 - mmengine - INFO - Epoch(train) [4][120/673] lr: 2.0000e-03 eta: 4:00:35 time: 0.2435 data_time: 0.0281 memory: 11037 grad_norm: 11.1516 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3788 loss: 3.3788 2022/08/08 14:51:50 - mmengine - INFO - Epoch(train) [4][140/673] lr: 2.0000e-03 eta: 3:59:43 time: 0.3096 data_time: 0.0680 memory: 11037 grad_norm: 10.8787 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.3424 loss: 3.3424 2022/08/08 14:51:56 - mmengine - INFO - Epoch(train) [4][160/673] lr: 2.0000e-03 eta: 3:58:42 time: 0.2764 data_time: 0.0256 memory: 11037 grad_norm: 11.1482 top1_acc: 0.3125 top5_acc: 0.3125 loss_cls: 3.4296 loss: 3.4296 2022/08/08 14:52:02 - mmengine - INFO - Epoch(train) [4][180/673] lr: 2.0000e-03 eta: 3:57:50 time: 0.3067 data_time: 0.0916 memory: 11037 grad_norm: 10.6466 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3025 loss: 3.3025 2022/08/08 14:52:07 - mmengine - INFO - Epoch(train) [4][200/673] lr: 2.0000e-03 eta: 3:56:47 time: 0.2641 data_time: 0.0599 memory: 11037 grad_norm: 10.6110 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.2505 loss: 3.2505 2022/08/08 14:52:14 - mmengine - INFO - Epoch(train) [4][220/673] lr: 2.0000e-03 eta: 3:56:00 time: 0.3154 data_time: 0.0396 memory: 11037 grad_norm: 10.9256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3686 loss: 3.3686 2022/08/08 14:52:20 - mmengine - INFO - Epoch(train) [4][240/673] lr: 2.0000e-03 eta: 3:55:09 time: 0.2999 data_time: 0.0197 memory: 11037 grad_norm: 10.7470 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3183 loss: 3.3183 2022/08/08 14:52:26 - mmengine - INFO - Epoch(train) [4][260/673] lr: 2.0000e-03 eta: 3:54:16 time: 0.2906 data_time: 0.0394 memory: 11037 grad_norm: 11.2049 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 3.2768 loss: 3.2768 2022/08/08 14:52:32 - mmengine - INFO - Epoch(train) [4][280/673] lr: 2.0000e-03 eta: 3:53:28 time: 0.3036 data_time: 0.0768 memory: 11037 grad_norm: 10.5922 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.2629 loss: 3.2629 2022/08/08 14:52:38 - mmengine - INFO - Epoch(train) [4][300/673] lr: 2.0000e-03 eta: 3:52:46 time: 0.3230 data_time: 0.1152 memory: 11037 grad_norm: 11.2390 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2076 loss: 3.2076 2022/08/08 14:52:44 - mmengine - INFO - Epoch(train) [4][320/673] lr: 2.0000e-03 eta: 3:51:52 time: 0.2786 data_time: 0.0701 memory: 11037 grad_norm: 11.0937 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3368 loss: 3.3368 2022/08/08 14:52:51 - mmengine - INFO - Epoch(train) [4][340/673] lr: 2.0000e-03 eta: 3:51:18 time: 0.3492 data_time: 0.1156 memory: 11037 grad_norm: 10.8676 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.2370 loss: 3.2370 2022/08/08 14:52:55 - mmengine - INFO - Epoch(train) [4][360/673] lr: 2.0000e-03 eta: 3:50:16 time: 0.2442 data_time: 0.0371 memory: 11037 grad_norm: 11.0422 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2810 loss: 3.2810 2022/08/08 14:53:02 - mmengine - INFO - Epoch(train) [4][380/673] lr: 2.0000e-03 eta: 3:49:41 time: 0.3381 data_time: 0.1211 memory: 11037 grad_norm: 10.8995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0447 loss: 3.0447 2022/08/08 14:53:08 - mmengine - INFO - Epoch(train) [4][400/673] lr: 2.0000e-03 eta: 3:48:56 time: 0.3027 data_time: 0.0960 memory: 11037 grad_norm: 10.7943 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.1143 loss: 3.1143 2022/08/08 14:53:14 - mmengine - INFO - Epoch(train) [4][420/673] lr: 2.0000e-03 eta: 3:48:04 time: 0.2722 data_time: 0.0521 memory: 11037 grad_norm: 11.1720 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.2289 loss: 3.2289 2022/08/08 14:53:19 - mmengine - INFO - Epoch(train) [4][440/673] lr: 2.0000e-03 eta: 3:47:13 time: 0.2721 data_time: 0.0390 memory: 11037 grad_norm: 10.8387 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.2410 loss: 3.2410 2022/08/08 14:53:25 - mmengine - INFO - Epoch(train) [4][460/673] lr: 2.0000e-03 eta: 3:46:33 time: 0.3124 data_time: 0.0491 memory: 11037 grad_norm: 10.8564 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.4592 loss: 3.4592 2022/08/08 14:53:32 - mmengine - INFO - Epoch(train) [4][480/673] lr: 2.0000e-03 eta: 3:45:51 time: 0.3033 data_time: 0.0433 memory: 11037 grad_norm: 11.0970 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.3240 loss: 3.3240 2022/08/08 14:53:38 - mmengine - INFO - Epoch(train) [4][500/673] lr: 2.0000e-03 eta: 3:45:11 time: 0.3062 data_time: 0.1005 memory: 11037 grad_norm: 10.5149 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.3812 loss: 3.3812 2022/08/08 14:53:43 - mmengine - INFO - Epoch(train) [4][520/673] lr: 2.0000e-03 eta: 3:44:21 time: 0.2674 data_time: 0.0604 memory: 11037 grad_norm: 10.9078 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0507 loss: 3.0507 2022/08/08 14:53:49 - mmengine - INFO - Epoch(train) [4][540/673] lr: 2.0000e-03 eta: 3:43:35 time: 0.2772 data_time: 0.0716 memory: 11037 grad_norm: 10.4450 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3283 loss: 3.3283 2022/08/08 14:53:54 - mmengine - INFO - Epoch(train) [4][560/673] lr: 2.0000e-03 eta: 3:42:54 time: 0.2986 data_time: 0.0258 memory: 11037 grad_norm: 10.8828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1744 loss: 3.1744 2022/08/08 14:54:01 - mmengine - INFO - Epoch(train) [4][580/673] lr: 2.0000e-03 eta: 3:42:15 time: 0.3011 data_time: 0.0458 memory: 11037 grad_norm: 11.1253 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.3207 loss: 3.3207 2022/08/08 14:54:07 - mmengine - INFO - Epoch(train) [4][600/673] lr: 2.0000e-03 eta: 3:41:37 time: 0.3046 data_time: 0.0309 memory: 11037 grad_norm: 10.5541 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 3.0306 loss: 3.0306 2022/08/08 14:54:13 - mmengine - INFO - Epoch(train) [4][620/673] lr: 2.0000e-03 eta: 3:41:00 time: 0.3108 data_time: 0.0196 memory: 11037 grad_norm: 10.8561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2776 loss: 3.2776 2022/08/08 14:54:18 - mmengine - INFO - Epoch(train) [4][640/673] lr: 2.0000e-03 eta: 3:40:17 time: 0.2778 data_time: 0.0172 memory: 11037 grad_norm: 10.8954 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1464 loss: 3.1464 2022/08/08 14:54:24 - mmengine - INFO - Epoch(train) [4][660/673] lr: 2.0000e-03 eta: 3:39:33 time: 0.2726 data_time: 0.0180 memory: 11037 grad_norm: 11.1780 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.2988 loss: 3.2988 2022/08/08 14:54:28 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:54:28 - mmengine - INFO - Epoch(train) [4][673/673] lr: 2.0000e-03 eta: 3:39:33 time: 0.2732 data_time: 0.0175 memory: 11037 grad_norm: 12.2890 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5606 loss: 3.5606 2022/08/08 14:54:28 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/08 14:54:31 - mmengine - INFO - Epoch(val) [4][20/91] eta: 0:00:05 time: 0.0757 data_time: 0.0173 memory: 1858 2022/08/08 14:54:33 - mmengine - INFO - Epoch(val) [4][40/91] eta: 0:00:03 time: 0.0678 data_time: 0.0115 memory: 1858 2022/08/08 14:54:34 - mmengine - INFO - Epoch(val) [4][60/91] eta: 0:00:01 time: 0.0645 data_time: 0.0095 memory: 1858 2022/08/08 14:54:35 - mmengine - INFO - Epoch(val) [4][80/91] eta: 0:00:00 time: 0.0630 data_time: 0.0087 memory: 1858 2022/08/08 14:54:36 - mmengine - INFO - Epoch(val) [4][91/91] acc/top1: 0.1962 acc/top5: 0.4477 acc/mean1: 0.1734 2022/08/08 14:54:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/08 14:54:38 - mmengine - INFO - The best checkpoint with 0.1962 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/08 14:54:38 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:54:44 - mmengine - INFO - Epoch(train) [5][20/673] lr: 2.0000e-03 eta: 3:37:53 time: 0.3270 data_time: 0.1047 memory: 11037 grad_norm: 10.8788 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.2010 loss: 3.2010 2022/08/08 14:54:49 - mmengine - INFO - Epoch(train) [5][40/673] lr: 2.0000e-03 eta: 3:37:05 time: 0.2470 data_time: 0.0323 memory: 11037 grad_norm: 10.8852 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1171 loss: 3.1171 2022/08/08 14:54:54 - mmengine - INFO - Epoch(train) [5][60/673] lr: 2.0000e-03 eta: 3:36:18 time: 0.2497 data_time: 0.0321 memory: 11037 grad_norm: 10.6363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2945 loss: 3.2945 2022/08/08 14:54:59 - mmengine - INFO - Epoch(train) [5][80/673] lr: 2.0000e-03 eta: 3:35:27 time: 0.2297 data_time: 0.0160 memory: 11037 grad_norm: 11.0651 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.0576 loss: 3.0576 2022/08/08 14:55:03 - mmengine - INFO - Epoch(train) [5][100/673] lr: 2.0000e-03 eta: 3:34:38 time: 0.2333 data_time: 0.0279 memory: 11037 grad_norm: 11.0459 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1631 loss: 3.1631 2022/08/08 14:55:08 - mmengine - INFO - Epoch(train) [5][120/673] lr: 2.0000e-03 eta: 3:33:50 time: 0.2350 data_time: 0.0232 memory: 11037 grad_norm: 10.7439 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1658 loss: 3.1658 2022/08/08 14:55:13 - mmengine - INFO - Epoch(train) [5][140/673] lr: 2.0000e-03 eta: 3:33:03 time: 0.2401 data_time: 0.0312 memory: 11037 grad_norm: 11.0933 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1585 loss: 3.1585 2022/08/08 14:55:17 - mmengine - INFO - Epoch(train) [5][160/673] lr: 2.0000e-03 eta: 3:32:13 time: 0.2221 data_time: 0.0165 memory: 11037 grad_norm: 10.6249 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0565 loss: 3.0565 2022/08/08 14:55:22 - mmengine - INFO - Epoch(train) [5][180/673] lr: 2.0000e-03 eta: 3:31:25 time: 0.2280 data_time: 0.0181 memory: 11037 grad_norm: 11.3395 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0020 loss: 3.0020 2022/08/08 14:55:27 - mmengine - INFO - Epoch(train) [5][200/673] lr: 2.0000e-03 eta: 3:30:40 time: 0.2390 data_time: 0.0328 memory: 11037 grad_norm: 11.0236 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.0127 loss: 3.0127 2022/08/08 14:55:31 - mmengine - INFO - Epoch(train) [5][220/673] lr: 2.0000e-03 eta: 3:29:56 time: 0.2418 data_time: 0.0189 memory: 11037 grad_norm: 10.7398 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2366 loss: 3.2366 2022/08/08 14:55:37 - mmengine - INFO - Epoch(train) [5][240/673] lr: 2.0000e-03 eta: 3:29:17 time: 0.2628 data_time: 0.0197 memory: 11037 grad_norm: 10.6149 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.4143 loss: 3.4143 2022/08/08 14:55:42 - mmengine - INFO - Epoch(train) [5][260/673] lr: 2.0000e-03 eta: 3:28:41 time: 0.2741 data_time: 0.0206 memory: 11037 grad_norm: 11.1615 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9811 loss: 2.9811 2022/08/08 14:55:47 - mmengine - INFO - Epoch(train) [5][280/673] lr: 2.0000e-03 eta: 3:27:56 time: 0.2320 data_time: 0.0150 memory: 11037 grad_norm: 11.3459 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1719 loss: 3.1719 2022/08/08 14:55:51 - mmengine - INFO - Epoch(train) [5][300/673] lr: 2.0000e-03 eta: 3:27:12 time: 0.2293 data_time: 0.0177 memory: 11037 grad_norm: 11.2993 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0698 loss: 3.0698 2022/08/08 14:55:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:55:56 - mmengine - INFO - Epoch(train) [5][320/673] lr: 2.0000e-03 eta: 3:26:26 time: 0.2218 data_time: 0.0180 memory: 11037 grad_norm: 11.3405 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0217 loss: 3.0217 2022/08/08 14:56:01 - mmengine - INFO - Epoch(train) [5][340/673] lr: 2.0000e-03 eta: 3:25:49 time: 0.2592 data_time: 0.0160 memory: 11037 grad_norm: 10.8270 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1896 loss: 3.1896 2022/08/08 14:56:06 - mmengine - INFO - Epoch(train) [5][360/673] lr: 2.0000e-03 eta: 3:25:05 time: 0.2263 data_time: 0.0163 memory: 11037 grad_norm: 11.1923 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0699 loss: 3.0699 2022/08/08 14:56:10 - mmengine - INFO - Epoch(train) [5][380/673] lr: 2.0000e-03 eta: 3:24:22 time: 0.2233 data_time: 0.0180 memory: 11037 grad_norm: 11.1407 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.0742 loss: 3.0742 2022/08/08 14:56:15 - mmengine - INFO - Epoch(train) [5][400/673] lr: 2.0000e-03 eta: 3:23:39 time: 0.2265 data_time: 0.0175 memory: 11037 grad_norm: 11.2012 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.1473 loss: 3.1473 2022/08/08 14:56:20 - mmengine - INFO - Epoch(train) [5][420/673] lr: 2.0000e-03 eta: 3:23:08 time: 0.2809 data_time: 0.0592 memory: 11037 grad_norm: 10.8757 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.0670 loss: 3.0670 2022/08/08 14:56:25 - mmengine - INFO - Epoch(train) [5][440/673] lr: 2.0000e-03 eta: 3:22:25 time: 0.2194 data_time: 0.0122 memory: 11037 grad_norm: 10.6434 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 3.1128 loss: 3.1128 2022/08/08 14:56:29 - mmengine - INFO - Epoch(train) [5][460/673] lr: 2.0000e-03 eta: 3:21:45 time: 0.2303 data_time: 0.0189 memory: 11037 grad_norm: 11.2445 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 2.9805 loss: 2.9805 2022/08/08 14:56:34 - mmengine - INFO - Epoch(train) [5][480/673] lr: 2.0000e-03 eta: 3:21:08 time: 0.2493 data_time: 0.0158 memory: 11037 grad_norm: 11.1896 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.0195 loss: 3.0195 2022/08/08 14:56:39 - mmengine - INFO - Epoch(train) [5][500/673] lr: 2.0000e-03 eta: 3:20:33 time: 0.2520 data_time: 0.0358 memory: 11037 grad_norm: 10.5373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0826 loss: 3.0826 2022/08/08 14:56:44 - mmengine - INFO - Epoch(train) [5][520/673] lr: 2.0000e-03 eta: 3:19:56 time: 0.2405 data_time: 0.0217 memory: 11037 grad_norm: 10.6346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0092 loss: 3.0092 2022/08/08 14:56:50 - mmengine - INFO - Epoch(train) [5][540/673] lr: 2.0000e-03 eta: 3:19:27 time: 0.2855 data_time: 0.0595 memory: 11037 grad_norm: 10.9398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9702 loss: 2.9702 2022/08/08 14:56:54 - mmengine - INFO - Epoch(train) [5][560/673] lr: 2.0000e-03 eta: 3:18:48 time: 0.2266 data_time: 0.0137 memory: 11037 grad_norm: 10.8533 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.0973 loss: 3.0973 2022/08/08 14:56:59 - mmengine - INFO - Epoch(train) [5][580/673] lr: 2.0000e-03 eta: 3:18:16 time: 0.2588 data_time: 0.0446 memory: 11037 grad_norm: 11.2107 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8618 loss: 2.8618 2022/08/08 14:57:04 - mmengine - INFO - Epoch(train) [5][600/673] lr: 2.0000e-03 eta: 3:17:36 time: 0.2208 data_time: 0.0135 memory: 11037 grad_norm: 11.0885 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.1035 loss: 3.1035 2022/08/08 14:57:08 - mmengine - INFO - Epoch(train) [5][620/673] lr: 2.0000e-03 eta: 3:16:58 time: 0.2221 data_time: 0.0190 memory: 11037 grad_norm: 10.5292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0686 loss: 3.0686 2022/08/08 14:57:13 - mmengine - INFO - Epoch(train) [5][640/673] lr: 2.0000e-03 eta: 3:16:20 time: 0.2266 data_time: 0.0191 memory: 11037 grad_norm: 11.5521 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9654 loss: 2.9654 2022/08/08 14:57:18 - mmengine - INFO - Epoch(train) [5][660/673] lr: 2.0000e-03 eta: 3:15:47 time: 0.2490 data_time: 0.0302 memory: 11037 grad_norm: 10.5148 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1890 loss: 3.1890 2022/08/08 14:57:21 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:57:21 - mmengine - INFO - Epoch(train) [5][673/673] lr: 2.0000e-03 eta: 3:15:47 time: 0.2705 data_time: 0.0248 memory: 11037 grad_norm: 12.8909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.8833 loss: 2.8833 2022/08/08 14:57:21 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/08 14:57:25 - mmengine - INFO - Epoch(val) [5][20/91] eta: 0:00:05 time: 0.0782 data_time: 0.0191 memory: 1858 2022/08/08 14:57:27 - mmengine - INFO - Epoch(val) [5][40/91] eta: 0:00:03 time: 0.0712 data_time: 0.0122 memory: 1858 2022/08/08 14:57:28 - mmengine - INFO - Epoch(val) [5][60/91] eta: 0:00:02 time: 0.0649 data_time: 0.0095 memory: 1858 2022/08/08 14:57:29 - mmengine - INFO - Epoch(val) [5][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0091 memory: 1858 2022/08/08 14:57:30 - mmengine - INFO - Epoch(val) [5][91/91] acc/top1: 0.2004 acc/top5: 0.4480 acc/mean1: 0.1801 2022/08/08 14:57:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/08 14:57:32 - mmengine - INFO - The best checkpoint with 0.2004 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/08 14:57:32 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:57:38 - mmengine - INFO - Epoch(train) [6][20/673] lr: 2.0000e-03 eta: 3:14:33 time: 0.2964 data_time: 0.0960 memory: 11037 grad_norm: 11.1391 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0004 loss: 3.0004 2022/08/08 14:57:42 - mmengine - INFO - Epoch(train) [6][40/673] lr: 2.0000e-03 eta: 3:13:56 time: 0.2233 data_time: 0.0219 memory: 11037 grad_norm: 10.7119 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.0575 loss: 3.0575 2022/08/08 14:57:47 - mmengine - INFO - Epoch(train) [6][60/673] lr: 2.0000e-03 eta: 3:13:20 time: 0.2216 data_time: 0.0215 memory: 11037 grad_norm: 11.4726 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0249 loss: 3.0249 2022/08/08 14:57:51 - mmengine - INFO - Epoch(train) [6][80/673] lr: 2.0000e-03 eta: 3:12:45 time: 0.2266 data_time: 0.0142 memory: 11037 grad_norm: 10.8537 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9148 loss: 2.9148 2022/08/08 14:57:56 - mmengine - INFO - Epoch(train) [6][100/673] lr: 2.0000e-03 eta: 3:12:09 time: 0.2202 data_time: 0.0213 memory: 11037 grad_norm: 11.5072 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 2.9600 loss: 2.9600 2022/08/08 14:58:00 - mmengine - INFO - Epoch(train) [6][120/673] lr: 2.0000e-03 eta: 3:11:35 time: 0.2326 data_time: 0.0196 memory: 11037 grad_norm: 11.1525 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7585 loss: 2.7585 2022/08/08 14:58:05 - mmengine - INFO - Epoch(train) [6][140/673] lr: 2.0000e-03 eta: 3:10:59 time: 0.2177 data_time: 0.0146 memory: 11037 grad_norm: 11.0181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7172 loss: 2.7172 2022/08/08 14:58:09 - mmengine - INFO - Epoch(train) [6][160/673] lr: 2.0000e-03 eta: 3:10:24 time: 0.2190 data_time: 0.0152 memory: 11037 grad_norm: 10.9386 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.8426 loss: 2.8426 2022/08/08 14:58:14 - mmengine - INFO - Epoch(train) [6][180/673] lr: 2.0000e-03 eta: 3:09:51 time: 0.2283 data_time: 0.0183 memory: 11037 grad_norm: 10.9094 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0098 loss: 3.0098 2022/08/08 14:58:18 - mmengine - INFO - Epoch(train) [6][200/673] lr: 2.0000e-03 eta: 3:09:16 time: 0.2177 data_time: 0.0173 memory: 11037 grad_norm: 11.4989 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1631 loss: 3.1631 2022/08/08 14:58:22 - mmengine - INFO - Epoch(train) [6][220/673] lr: 2.0000e-03 eta: 3:08:43 time: 0.2220 data_time: 0.0180 memory: 11037 grad_norm: 10.6417 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9851 loss: 2.9851 2022/08/08 14:58:27 - mmengine - INFO - Epoch(train) [6][240/673] lr: 2.0000e-03 eta: 3:08:09 time: 0.2183 data_time: 0.0172 memory: 11037 grad_norm: 11.1833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9162 loss: 2.9162 2022/08/08 14:58:31 - mmengine - INFO - Epoch(train) [6][260/673] lr: 2.0000e-03 eta: 3:07:35 time: 0.2193 data_time: 0.0134 memory: 11037 grad_norm: 11.5135 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9469 loss: 2.9469 2022/08/08 14:58:35 - mmengine - INFO - Epoch(train) [6][280/673] lr: 2.0000e-03 eta: 3:07:02 time: 0.2193 data_time: 0.0200 memory: 11037 grad_norm: 11.1017 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0010 loss: 3.0010 2022/08/08 14:58:40 - mmengine - INFO - Epoch(train) [6][300/673] lr: 2.0000e-03 eta: 3:06:30 time: 0.2203 data_time: 0.0167 memory: 11037 grad_norm: 10.9155 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9840 loss: 2.9840 2022/08/08 14:58:44 - mmengine - INFO - Epoch(train) [6][320/673] lr: 2.0000e-03 eta: 3:05:57 time: 0.2208 data_time: 0.0160 memory: 11037 grad_norm: 10.6695 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.0634 loss: 3.0634 2022/08/08 14:58:49 - mmengine - INFO - Epoch(train) [6][340/673] lr: 2.0000e-03 eta: 3:05:25 time: 0.2166 data_time: 0.0141 memory: 11037 grad_norm: 11.0307 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8607 loss: 2.8607 2022/08/08 14:58:53 - mmengine - INFO - Epoch(train) [6][360/673] lr: 2.0000e-03 eta: 3:04:53 time: 0.2173 data_time: 0.0174 memory: 11037 grad_norm: 10.8046 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7372 loss: 2.7372 2022/08/08 14:58:57 - mmengine - INFO - Epoch(train) [6][380/673] lr: 2.0000e-03 eta: 3:04:22 time: 0.2246 data_time: 0.0157 memory: 11037 grad_norm: 10.7889 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0290 loss: 3.0290 2022/08/08 14:59:02 - mmengine - INFO - Epoch(train) [6][400/673] lr: 2.0000e-03 eta: 3:03:51 time: 0.2253 data_time: 0.0183 memory: 11037 grad_norm: 10.9837 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9237 loss: 2.9237 2022/08/08 14:59:06 - mmengine - INFO - Epoch(train) [6][420/673] lr: 2.0000e-03 eta: 3:03:20 time: 0.2189 data_time: 0.0155 memory: 11037 grad_norm: 11.0859 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8922 loss: 2.8922 2022/08/08 14:59:11 - mmengine - INFO - Epoch(train) [6][440/673] lr: 2.0000e-03 eta: 3:02:50 time: 0.2217 data_time: 0.0169 memory: 11037 grad_norm: 11.2768 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.9511 loss: 2.9511 2022/08/08 14:59:16 - mmengine - INFO - Epoch(train) [6][460/673] lr: 2.0000e-03 eta: 3:02:24 time: 0.2453 data_time: 0.0177 memory: 11037 grad_norm: 10.9060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9416 loss: 2.9416 2022/08/08 14:59:20 - mmengine - INFO - Epoch(train) [6][480/673] lr: 2.0000e-03 eta: 3:01:54 time: 0.2259 data_time: 0.0160 memory: 11037 grad_norm: 11.2025 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9408 loss: 2.9408 2022/08/08 14:59:25 - mmengine - INFO - Epoch(train) [6][500/673] lr: 2.0000e-03 eta: 3:01:24 time: 0.2182 data_time: 0.0153 memory: 11037 grad_norm: 11.1086 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8996 loss: 2.8996 2022/08/08 14:59:29 - mmengine - INFO - Epoch(train) [6][520/673] lr: 2.0000e-03 eta: 3:00:55 time: 0.2203 data_time: 0.0164 memory: 11037 grad_norm: 10.6637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9532 loss: 2.9532 2022/08/08 14:59:33 - mmengine - INFO - Epoch(train) [6][540/673] lr: 2.0000e-03 eta: 3:00:25 time: 0.2184 data_time: 0.0168 memory: 11037 grad_norm: 11.0069 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6358 loss: 2.6358 2022/08/08 14:59:38 - mmengine - INFO - Epoch(train) [6][560/673] lr: 2.0000e-03 eta: 2:59:55 time: 0.2156 data_time: 0.0134 memory: 11037 grad_norm: 10.6786 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7272 loss: 2.7272 2022/08/08 14:59:42 - mmengine - INFO - Epoch(train) [6][580/673] lr: 2.0000e-03 eta: 2:59:27 time: 0.2241 data_time: 0.0162 memory: 11037 grad_norm: 10.7240 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.9115 loss: 2.9115 2022/08/08 14:59:46 - mmengine - INFO - Epoch(train) [6][600/673] lr: 2.0000e-03 eta: 2:58:58 time: 0.2170 data_time: 0.0155 memory: 11037 grad_norm: 10.6800 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8028 loss: 2.8028 2022/08/08 14:59:51 - mmengine - INFO - Epoch(train) [6][620/673] lr: 2.0000e-03 eta: 2:58:30 time: 0.2191 data_time: 0.0140 memory: 11037 grad_norm: 10.8848 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9525 loss: 2.9525 2022/08/08 14:59:54 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 14:59:55 - mmengine - INFO - Epoch(train) [6][640/673] lr: 2.0000e-03 eta: 2:58:01 time: 0.2165 data_time: 0.0171 memory: 11037 grad_norm: 10.9664 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9275 loss: 2.9275 2022/08/08 15:00:00 - mmengine - INFO - Epoch(train) [6][660/673] lr: 2.0000e-03 eta: 2:57:38 time: 0.2542 data_time: 0.0180 memory: 11037 grad_norm: 10.8059 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6076 loss: 2.6076 2022/08/08 15:00:03 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:00:03 - mmengine - INFO - Epoch(train) [6][673/673] lr: 2.0000e-03 eta: 2:57:38 time: 0.2491 data_time: 0.0150 memory: 11037 grad_norm: 12.4662 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.9227 loss: 2.9227 2022/08/08 15:00:03 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 15:00:07 - mmengine - INFO - Epoch(val) [6][20/91] eta: 0:00:05 time: 0.0785 data_time: 0.0189 memory: 1858 2022/08/08 15:00:09 - mmengine - INFO - Epoch(val) [6][40/91] eta: 0:00:03 time: 0.0681 data_time: 0.0111 memory: 1858 2022/08/08 15:00:10 - mmengine - INFO - Epoch(val) [6][60/91] eta: 0:00:02 time: 0.0648 data_time: 0.0095 memory: 1858 2022/08/08 15:00:11 - mmengine - INFO - Epoch(val) [6][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0086 memory: 1858 2022/08/08 15:00:12 - mmengine - INFO - Epoch(val) [6][91/91] acc/top1: 0.2271 acc/top5: 0.4833 acc/mean1: 0.1990 2022/08/08 15:00:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/08 15:00:14 - mmengine - INFO - The best checkpoint with 0.2271 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 15:00:14 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:00:19 - mmengine - INFO - Epoch(train) [7][20/673] lr: 2.0000e-03 eta: 2:56:40 time: 0.2739 data_time: 0.0748 memory: 11037 grad_norm: 11.0462 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7237 loss: 2.7237 2022/08/08 15:00:24 - mmengine - INFO - Epoch(train) [7][40/673] lr: 2.0000e-03 eta: 2:56:12 time: 0.2183 data_time: 0.0138 memory: 11037 grad_norm: 11.3237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9604 loss: 2.9604 2022/08/08 15:00:28 - mmengine - INFO - Epoch(train) [7][60/673] lr: 2.0000e-03 eta: 2:55:45 time: 0.2157 data_time: 0.0149 memory: 11037 grad_norm: 11.0574 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0064 loss: 3.0064 2022/08/08 15:00:32 - mmengine - INFO - Epoch(train) [7][80/673] lr: 2.0000e-03 eta: 2:55:18 time: 0.2204 data_time: 0.0155 memory: 11037 grad_norm: 10.8705 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.9771 loss: 2.9771 2022/08/08 15:00:37 - mmengine - INFO - Epoch(train) [7][100/673] lr: 2.0000e-03 eta: 2:54:51 time: 0.2159 data_time: 0.0135 memory: 11037 grad_norm: 11.1768 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.7499 loss: 2.7499 2022/08/08 15:00:41 - mmengine - INFO - Epoch(train) [7][120/673] lr: 2.0000e-03 eta: 2:54:26 time: 0.2297 data_time: 0.0152 memory: 11037 grad_norm: 11.2538 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9547 loss: 2.9547 2022/08/08 15:00:46 - mmengine - INFO - Epoch(train) [7][140/673] lr: 2.0000e-03 eta: 2:53:59 time: 0.2147 data_time: 0.0136 memory: 11037 grad_norm: 11.0525 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.7509 loss: 2.7509 2022/08/08 15:00:50 - mmengine - INFO - Epoch(train) [7][160/673] lr: 2.0000e-03 eta: 2:53:33 time: 0.2181 data_time: 0.0180 memory: 11037 grad_norm: 11.1585 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8268 loss: 2.8268 2022/08/08 15:00:54 - mmengine - INFO - Epoch(train) [7][180/673] lr: 2.0000e-03 eta: 2:53:06 time: 0.2140 data_time: 0.0140 memory: 11037 grad_norm: 10.7585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9167 loss: 2.9167 2022/08/08 15:00:59 - mmengine - INFO - Epoch(train) [7][200/673] lr: 2.0000e-03 eta: 2:52:40 time: 0.2167 data_time: 0.0149 memory: 11037 grad_norm: 10.9846 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7289 loss: 2.7289 2022/08/08 15:01:03 - mmengine - INFO - Epoch(train) [7][220/673] lr: 2.0000e-03 eta: 2:52:17 time: 0.2335 data_time: 0.0177 memory: 11037 grad_norm: 10.9497 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.7051 loss: 2.7051 2022/08/08 15:01:07 - mmengine - INFO - Epoch(train) [7][240/673] lr: 2.0000e-03 eta: 2:51:51 time: 0.2141 data_time: 0.0141 memory: 11037 grad_norm: 10.8028 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7344 loss: 2.7344 2022/08/08 15:01:12 - mmengine - INFO - Epoch(train) [7][260/673] lr: 2.0000e-03 eta: 2:51:25 time: 0.2164 data_time: 0.0157 memory: 11037 grad_norm: 11.0324 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7986 loss: 2.7986 2022/08/08 15:01:16 - mmengine - INFO - Epoch(train) [7][280/673] lr: 2.0000e-03 eta: 2:51:00 time: 0.2164 data_time: 0.0166 memory: 11037 grad_norm: 11.3367 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.8957 loss: 2.8957 2022/08/08 15:01:21 - mmengine - INFO - Epoch(train) [7][300/673] lr: 2.0000e-03 eta: 2:50:36 time: 0.2242 data_time: 0.0149 memory: 11037 grad_norm: 11.1055 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8113 loss: 2.8113 2022/08/08 15:01:25 - mmengine - INFO - Epoch(train) [7][320/673] lr: 2.0000e-03 eta: 2:50:13 time: 0.2294 data_time: 0.0140 memory: 11037 grad_norm: 11.1198 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6603 loss: 2.6603 2022/08/08 15:01:30 - mmengine - INFO - Epoch(train) [7][340/673] lr: 2.0000e-03 eta: 2:49:48 time: 0.2164 data_time: 0.0138 memory: 11037 grad_norm: 11.1519 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7334 loss: 2.7334 2022/08/08 15:01:34 - mmengine - INFO - Epoch(train) [7][360/673] lr: 2.0000e-03 eta: 2:49:24 time: 0.2131 data_time: 0.0140 memory: 11037 grad_norm: 10.7798 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7713 loss: 2.7713 2022/08/08 15:01:38 - mmengine - INFO - Epoch(train) [7][380/673] lr: 2.0000e-03 eta: 2:48:59 time: 0.2137 data_time: 0.0138 memory: 11037 grad_norm: 10.8984 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.8615 loss: 2.8615 2022/08/08 15:01:42 - mmengine - INFO - Epoch(train) [7][400/673] lr: 2.0000e-03 eta: 2:48:35 time: 0.2179 data_time: 0.0173 memory: 11037 grad_norm: 10.7524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.8352 loss: 2.8352 2022/08/08 15:01:47 - mmengine - INFO - Epoch(train) [7][420/673] lr: 2.0000e-03 eta: 2:48:11 time: 0.2133 data_time: 0.0151 memory: 11037 grad_norm: 11.1682 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8118 loss: 2.8118 2022/08/08 15:01:51 - mmengine - INFO - Epoch(train) [7][440/673] lr: 2.0000e-03 eta: 2:47:47 time: 0.2147 data_time: 0.0131 memory: 11037 grad_norm: 10.8668 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.8371 loss: 2.8371 2022/08/08 15:01:55 - mmengine - INFO - Epoch(train) [7][460/673] lr: 2.0000e-03 eta: 2:47:23 time: 0.2144 data_time: 0.0149 memory: 11037 grad_norm: 11.1292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6126 loss: 2.6126 2022/08/08 15:02:00 - mmengine - INFO - Epoch(train) [7][480/673] lr: 2.0000e-03 eta: 2:47:01 time: 0.2274 data_time: 0.0141 memory: 11037 grad_norm: 10.6320 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8161 loss: 2.8161 2022/08/08 15:02:04 - mmengine - INFO - Epoch(train) [7][500/673] lr: 2.0000e-03 eta: 2:46:39 time: 0.2261 data_time: 0.0137 memory: 11037 grad_norm: 11.0656 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7205 loss: 2.7205 2022/08/08 15:02:09 - mmengine - INFO - Epoch(train) [7][520/673] lr: 2.0000e-03 eta: 2:46:16 time: 0.2154 data_time: 0.0161 memory: 11037 grad_norm: 10.8287 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6738 loss: 2.6738 2022/08/08 15:02:13 - mmengine - INFO - Epoch(train) [7][540/673] lr: 2.0000e-03 eta: 2:45:53 time: 0.2177 data_time: 0.0161 memory: 11037 grad_norm: 11.0920 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6640 loss: 2.6640 2022/08/08 15:02:17 - mmengine - INFO - Epoch(train) [7][560/673] lr: 2.0000e-03 eta: 2:45:30 time: 0.2131 data_time: 0.0145 memory: 11037 grad_norm: 10.3879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6043 loss: 2.6043 2022/08/08 15:02:22 - mmengine - INFO - Epoch(train) [7][580/673] lr: 2.0000e-03 eta: 2:45:08 time: 0.2271 data_time: 0.0156 memory: 11037 grad_norm: 11.0118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8402 loss: 2.8402 2022/08/08 15:02:26 - mmengine - INFO - Epoch(train) [7][600/673] lr: 2.0000e-03 eta: 2:44:46 time: 0.2152 data_time: 0.0142 memory: 11037 grad_norm: 10.9711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7411 loss: 2.7411 2022/08/08 15:02:30 - mmengine - INFO - Epoch(train) [7][620/673] lr: 2.0000e-03 eta: 2:44:24 time: 0.2161 data_time: 0.0141 memory: 11037 grad_norm: 10.9790 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8921 loss: 2.8921 2022/08/08 15:02:35 - mmengine - INFO - Epoch(train) [7][640/673] lr: 2.0000e-03 eta: 2:44:01 time: 0.2141 data_time: 0.0141 memory: 11037 grad_norm: 10.9018 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7099 loss: 2.7099 2022/08/08 15:02:39 - mmengine - INFO - Epoch(train) [7][660/673] lr: 2.0000e-03 eta: 2:43:39 time: 0.2141 data_time: 0.0150 memory: 11037 grad_norm: 10.7806 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 2.8280 loss: 2.8280 2022/08/08 15:02:42 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:02:42 - mmengine - INFO - Epoch(train) [7][673/673] lr: 2.0000e-03 eta: 2:43:39 time: 0.2427 data_time: 0.0179 memory: 11037 grad_norm: 12.9678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.8764 loss: 2.8764 2022/08/08 15:02:42 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/08 15:02:46 - mmengine - INFO - Epoch(val) [7][20/91] eta: 0:00:05 time: 0.0778 data_time: 0.0176 memory: 1858 2022/08/08 15:02:48 - mmengine - INFO - Epoch(val) [7][40/91] eta: 0:00:03 time: 0.0700 data_time: 0.0110 memory: 1858 2022/08/08 15:02:49 - mmengine - INFO - Epoch(val) [7][60/91] eta: 0:00:02 time: 0.0660 data_time: 0.0100 memory: 1858 2022/08/08 15:02:50 - mmengine - INFO - Epoch(val) [7][80/91] eta: 0:00:00 time: 0.0638 data_time: 0.0089 memory: 1858 2022/08/08 15:02:51 - mmengine - INFO - Epoch(val) [7][91/91] acc/top1: 0.2259 acc/top5: 0.4899 acc/mean1: 0.2001 2022/08/08 15:02:51 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:02:57 - mmengine - INFO - Epoch(train) [8][20/673] lr: 2.0000e-03 eta: 2:42:53 time: 0.2792 data_time: 0.0600 memory: 11037 grad_norm: 11.0852 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.6669 loss: 2.6669 2022/08/08 15:03:01 - mmengine - INFO - Epoch(train) [8][40/673] lr: 2.0000e-03 eta: 2:42:32 time: 0.2169 data_time: 0.0122 memory: 11037 grad_norm: 11.0734 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8291 loss: 2.8291 2022/08/08 15:03:06 - mmengine - INFO - Epoch(train) [8][60/673] lr: 2.0000e-03 eta: 2:42:10 time: 0.2160 data_time: 0.0157 memory: 11037 grad_norm: 11.0183 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.7486 loss: 2.7486 2022/08/08 15:03:10 - mmengine - INFO - Epoch(train) [8][80/673] lr: 2.0000e-03 eta: 2:41:49 time: 0.2146 data_time: 0.0143 memory: 11037 grad_norm: 11.3011 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5899 loss: 2.5899 2022/08/08 15:03:14 - mmengine - INFO - Epoch(train) [8][100/673] lr: 2.0000e-03 eta: 2:41:28 time: 0.2166 data_time: 0.0134 memory: 11037 grad_norm: 11.1876 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4885 loss: 2.4885 2022/08/08 15:03:19 - mmengine - INFO - Epoch(train) [8][120/673] lr: 2.0000e-03 eta: 2:41:06 time: 0.2125 data_time: 0.0108 memory: 11037 grad_norm: 11.0037 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7197 loss: 2.7197 2022/08/08 15:03:23 - mmengine - INFO - Epoch(train) [8][140/673] lr: 2.0000e-03 eta: 2:40:48 time: 0.2351 data_time: 0.0164 memory: 11037 grad_norm: 11.0751 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.6766 loss: 2.6766 2022/08/08 15:03:28 - mmengine - INFO - Epoch(train) [8][160/673] lr: 2.0000e-03 eta: 2:40:28 time: 0.2219 data_time: 0.0163 memory: 11037 grad_norm: 10.9876 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7859 loss: 2.7859 2022/08/08 15:03:32 - mmengine - INFO - Epoch(train) [8][180/673] lr: 2.0000e-03 eta: 2:40:07 time: 0.2160 data_time: 0.0157 memory: 11037 grad_norm: 11.1212 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.6083 loss: 2.6083 2022/08/08 15:03:36 - mmengine - INFO - Epoch(train) [8][200/673] lr: 2.0000e-03 eta: 2:39:46 time: 0.2147 data_time: 0.0146 memory: 11037 grad_norm: 11.2503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8162 loss: 2.8162 2022/08/08 15:03:41 - mmengine - INFO - Epoch(train) [8][220/673] lr: 2.0000e-03 eta: 2:39:27 time: 0.2210 data_time: 0.0141 memory: 11037 grad_norm: 11.0276 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.5458 loss: 2.5458 2022/08/08 15:03:45 - mmengine - INFO - Epoch(train) [8][240/673] lr: 2.0000e-03 eta: 2:39:06 time: 0.2132 data_time: 0.0127 memory: 11037 grad_norm: 11.0563 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7446 loss: 2.7446 2022/08/08 15:03:49 - mmengine - INFO - Epoch(train) [8][260/673] lr: 2.0000e-03 eta: 2:38:46 time: 0.2145 data_time: 0.0132 memory: 11037 grad_norm: 10.8678 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5831 loss: 2.5831 2022/08/08 15:03:54 - mmengine - INFO - Epoch(train) [8][280/673] lr: 2.0000e-03 eta: 2:38:26 time: 0.2168 data_time: 0.0150 memory: 11037 grad_norm: 10.5247 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6699 loss: 2.6699 2022/08/08 15:03:56 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:03:58 - mmengine - INFO - Epoch(train) [8][300/673] lr: 2.0000e-03 eta: 2:38:06 time: 0.2165 data_time: 0.0145 memory: 11037 grad_norm: 11.0351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6872 loss: 2.6872 2022/08/08 15:04:02 - mmengine - INFO - Epoch(train) [8][320/673] lr: 2.0000e-03 eta: 2:37:47 time: 0.2223 data_time: 0.0188 memory: 11037 grad_norm: 11.2441 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8705 loss: 2.8705 2022/08/08 15:04:07 - mmengine - INFO - Epoch(train) [8][340/673] lr: 2.0000e-03 eta: 2:37:27 time: 0.2133 data_time: 0.0153 memory: 11037 grad_norm: 11.3152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5365 loss: 2.5365 2022/08/08 15:04:11 - mmengine - INFO - Epoch(train) [8][360/673] lr: 2.0000e-03 eta: 2:37:07 time: 0.2140 data_time: 0.0144 memory: 11037 grad_norm: 10.8103 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8037 loss: 2.8037 2022/08/08 15:04:15 - mmengine - INFO - Epoch(train) [8][380/673] lr: 2.0000e-03 eta: 2:36:48 time: 0.2152 data_time: 0.0156 memory: 11037 grad_norm: 11.2413 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6115 loss: 2.6115 2022/08/08 15:04:20 - mmengine - INFO - Epoch(train) [8][400/673] lr: 2.0000e-03 eta: 2:36:29 time: 0.2163 data_time: 0.0134 memory: 11037 grad_norm: 10.9986 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5706 loss: 2.5706 2022/08/08 15:04:24 - mmengine - INFO - Epoch(train) [8][420/673] lr: 2.0000e-03 eta: 2:36:10 time: 0.2235 data_time: 0.0177 memory: 11037 grad_norm: 10.8541 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.9120 loss: 2.9120 2022/08/08 15:04:28 - mmengine - INFO - Epoch(train) [8][440/673] lr: 2.0000e-03 eta: 2:35:51 time: 0.2154 data_time: 0.0146 memory: 11037 grad_norm: 11.4266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7907 loss: 2.7907 2022/08/08 15:04:33 - mmengine - INFO - Epoch(train) [8][460/673] lr: 2.0000e-03 eta: 2:35:32 time: 0.2153 data_time: 0.0143 memory: 11037 grad_norm: 10.9762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7207 loss: 2.7207 2022/08/08 15:04:37 - mmengine - INFO - Epoch(train) [8][480/673] lr: 2.0000e-03 eta: 2:35:14 time: 0.2194 data_time: 0.0150 memory: 11037 grad_norm: 10.7879 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7090 loss: 2.7090 2022/08/08 15:04:42 - mmengine - INFO - Epoch(train) [8][500/673] lr: 2.0000e-03 eta: 2:34:56 time: 0.2248 data_time: 0.0168 memory: 11037 grad_norm: 10.8443 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7796 loss: 2.7796 2022/08/08 15:04:46 - mmengine - INFO - Epoch(train) [8][520/673] lr: 2.0000e-03 eta: 2:34:37 time: 0.2148 data_time: 0.0166 memory: 11037 grad_norm: 10.8923 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6131 loss: 2.6131 2022/08/08 15:04:50 - mmengine - INFO - Epoch(train) [8][540/673] lr: 2.0000e-03 eta: 2:34:18 time: 0.2117 data_time: 0.0114 memory: 11037 grad_norm: 10.8560 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.7108 loss: 2.7108 2022/08/08 15:04:54 - mmengine - INFO - Epoch(train) [8][560/673] lr: 2.0000e-03 eta: 2:34:00 time: 0.2140 data_time: 0.0138 memory: 11037 grad_norm: 11.3096 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.7361 loss: 2.7361 2022/08/08 15:04:59 - mmengine - INFO - Epoch(train) [8][580/673] lr: 2.0000e-03 eta: 2:33:42 time: 0.2169 data_time: 0.0159 memory: 11037 grad_norm: 11.0708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5584 loss: 2.5584 2022/08/08 15:05:03 - mmengine - INFO - Epoch(train) [8][600/673] lr: 2.0000e-03 eta: 2:33:24 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.9155 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4491 loss: 2.4491 2022/08/08 15:05:07 - mmengine - INFO - Epoch(train) [8][620/673] lr: 2.0000e-03 eta: 2:33:06 time: 0.2158 data_time: 0.0153 memory: 11037 grad_norm: 10.9076 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7413 loss: 2.7413 2022/08/08 15:05:12 - mmengine - INFO - Epoch(train) [8][640/673] lr: 2.0000e-03 eta: 2:32:48 time: 0.2158 data_time: 0.0146 memory: 11037 grad_norm: 10.9165 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5847 loss: 2.5847 2022/08/08 15:05:16 - mmengine - INFO - Epoch(train) [8][660/673] lr: 2.0000e-03 eta: 2:32:30 time: 0.2131 data_time: 0.0131 memory: 11037 grad_norm: 10.6424 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6975 loss: 2.6975 2022/08/08 15:05:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:05:19 - mmengine - INFO - Epoch(train) [8][673/673] lr: 2.0000e-03 eta: 2:32:30 time: 0.2046 data_time: 0.0120 memory: 11037 grad_norm: 12.5260 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8336 loss: 2.8336 2022/08/08 15:05:19 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/08 15:05:23 - mmengine - INFO - Epoch(val) [8][20/91] eta: 0:00:05 time: 0.0791 data_time: 0.0179 memory: 1858 2022/08/08 15:05:24 - mmengine - INFO - Epoch(val) [8][40/91] eta: 0:00:03 time: 0.0706 data_time: 0.0117 memory: 1858 2022/08/08 15:05:25 - mmengine - INFO - Epoch(val) [8][60/91] eta: 0:00:02 time: 0.0651 data_time: 0.0096 memory: 1858 2022/08/08 15:05:27 - mmengine - INFO - Epoch(val) [8][80/91] eta: 0:00:00 time: 0.0641 data_time: 0.0089 memory: 1858 2022/08/08 15:05:28 - mmengine - INFO - Epoch(val) [8][91/91] acc/top1: 0.2383 acc/top5: 0.5055 acc/mean1: 0.2130 2022/08/08 15:05:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 15:05:29 - mmengine - INFO - The best checkpoint with 0.2383 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 15:05:29 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:05:35 - mmengine - INFO - Epoch(train) [9][20/673] lr: 2.0000e-03 eta: 2:31:53 time: 0.2773 data_time: 0.0606 memory: 11037 grad_norm: 10.9925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5334 loss: 2.5334 2022/08/08 15:05:39 - mmengine - INFO - Epoch(train) [9][40/673] lr: 2.0000e-03 eta: 2:31:35 time: 0.2144 data_time: 0.0139 memory: 11037 grad_norm: 11.0052 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4855 loss: 2.4855 2022/08/08 15:05:43 - mmengine - INFO - Epoch(train) [9][60/673] lr: 2.0000e-03 eta: 2:31:18 time: 0.2214 data_time: 0.0189 memory: 11037 grad_norm: 11.0108 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5422 loss: 2.5422 2022/08/08 15:05:47 - mmengine - INFO - Epoch(train) [9][80/673] lr: 2.0000e-03 eta: 2:31:01 time: 0.2136 data_time: 0.0128 memory: 11037 grad_norm: 10.9816 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7801 loss: 2.7801 2022/08/08 15:05:52 - mmengine - INFO - Epoch(train) [9][100/673] lr: 2.0000e-03 eta: 2:30:44 time: 0.2192 data_time: 0.0136 memory: 11037 grad_norm: 10.9948 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.7647 loss: 2.7647 2022/08/08 15:05:56 - mmengine - INFO - Epoch(train) [9][120/673] lr: 2.0000e-03 eta: 2:30:26 time: 0.2143 data_time: 0.0128 memory: 11037 grad_norm: 11.1265 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4634 loss: 2.4634 2022/08/08 15:06:01 - mmengine - INFO - Epoch(train) [9][140/673] lr: 2.0000e-03 eta: 2:30:10 time: 0.2211 data_time: 0.0136 memory: 11037 grad_norm: 10.9136 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5918 loss: 2.5918 2022/08/08 15:06:05 - mmengine - INFO - Epoch(train) [9][160/673] lr: 2.0000e-03 eta: 2:29:52 time: 0.2142 data_time: 0.0140 memory: 11037 grad_norm: 11.4002 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6143 loss: 2.6143 2022/08/08 15:06:09 - mmengine - INFO - Epoch(train) [9][180/673] lr: 2.0000e-03 eta: 2:29:35 time: 0.2137 data_time: 0.0134 memory: 11037 grad_norm: 11.2211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5340 loss: 2.5340 2022/08/08 15:06:13 - mmengine - INFO - Epoch(train) [9][200/673] lr: 2.0000e-03 eta: 2:29:19 time: 0.2154 data_time: 0.0147 memory: 11037 grad_norm: 11.1769 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6818 loss: 2.6818 2022/08/08 15:06:18 - mmengine - INFO - Epoch(train) [9][220/673] lr: 2.0000e-03 eta: 2:29:02 time: 0.2133 data_time: 0.0131 memory: 11037 grad_norm: 10.7478 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6557 loss: 2.6557 2022/08/08 15:06:22 - mmengine - INFO - Epoch(train) [9][240/673] lr: 2.0000e-03 eta: 2:28:45 time: 0.2181 data_time: 0.0147 memory: 11037 grad_norm: 10.6973 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3794 loss: 2.3794 2022/08/08 15:06:26 - mmengine - INFO - Epoch(train) [9][260/673] lr: 2.0000e-03 eta: 2:28:28 time: 0.2134 data_time: 0.0139 memory: 11037 grad_norm: 10.9911 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.9005 loss: 2.9005 2022/08/08 15:06:31 - mmengine - INFO - Epoch(train) [9][280/673] lr: 2.0000e-03 eta: 2:28:12 time: 0.2188 data_time: 0.0134 memory: 11037 grad_norm: 10.9144 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5203 loss: 2.5203 2022/08/08 15:06:35 - mmengine - INFO - Epoch(train) [9][300/673] lr: 2.0000e-03 eta: 2:27:56 time: 0.2161 data_time: 0.0147 memory: 11037 grad_norm: 10.9434 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5900 loss: 2.5900 2022/08/08 15:06:39 - mmengine - INFO - Epoch(train) [9][320/673] lr: 2.0000e-03 eta: 2:27:39 time: 0.2143 data_time: 0.0148 memory: 11037 grad_norm: 10.8848 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5613 loss: 2.5613 2022/08/08 15:06:44 - mmengine - INFO - Epoch(train) [9][340/673] lr: 2.0000e-03 eta: 2:27:24 time: 0.2201 data_time: 0.0151 memory: 11037 grad_norm: 10.8786 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6073 loss: 2.6073 2022/08/08 15:06:48 - mmengine - INFO - Epoch(train) [9][360/673] lr: 2.0000e-03 eta: 2:27:07 time: 0.2129 data_time: 0.0149 memory: 11037 grad_norm: 11.1203 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4514 loss: 2.4514 2022/08/08 15:06:52 - mmengine - INFO - Epoch(train) [9][380/673] lr: 2.0000e-03 eta: 2:26:51 time: 0.2140 data_time: 0.0120 memory: 11037 grad_norm: 10.8793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6662 loss: 2.6662 2022/08/08 15:06:57 - mmengine - INFO - Epoch(train) [9][400/673] lr: 2.0000e-03 eta: 2:26:35 time: 0.2156 data_time: 0.0145 memory: 11037 grad_norm: 10.8133 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6702 loss: 2.6702 2022/08/08 15:07:02 - mmengine - INFO - Epoch(train) [9][420/673] lr: 2.0000e-03 eta: 2:26:25 time: 0.2816 data_time: 0.0756 memory: 11037 grad_norm: 10.7864 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.5331 loss: 2.5331 2022/08/08 15:07:07 - mmengine - INFO - Epoch(train) [9][440/673] lr: 2.0000e-03 eta: 2:26:09 time: 0.2144 data_time: 0.0141 memory: 11037 grad_norm: 11.3787 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4453 loss: 2.4453 2022/08/08 15:07:11 - mmengine - INFO - Epoch(train) [9][460/673] lr: 2.0000e-03 eta: 2:25:54 time: 0.2190 data_time: 0.0154 memory: 11037 grad_norm: 10.7975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4833 loss: 2.4833 2022/08/08 15:07:15 - mmengine - INFO - Epoch(train) [9][480/673] lr: 2.0000e-03 eta: 2:25:38 time: 0.2141 data_time: 0.0133 memory: 11037 grad_norm: 10.9127 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5705 loss: 2.5705 2022/08/08 15:07:19 - mmengine - INFO - Epoch(train) [9][500/673] lr: 2.0000e-03 eta: 2:25:22 time: 0.2127 data_time: 0.0139 memory: 11037 grad_norm: 10.3593 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4828 loss: 2.4828 2022/08/08 15:07:24 - mmengine - INFO - Epoch(train) [9][520/673] lr: 2.0000e-03 eta: 2:25:08 time: 0.2318 data_time: 0.0161 memory: 11037 grad_norm: 10.8455 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 2.5243 loss: 2.5243 2022/08/08 15:07:28 - mmengine - INFO - Epoch(train) [9][540/673] lr: 2.0000e-03 eta: 2:24:53 time: 0.2163 data_time: 0.0125 memory: 11037 grad_norm: 10.7832 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5259 loss: 2.5259 2022/08/08 15:07:33 - mmengine - INFO - Epoch(train) [9][560/673] lr: 2.0000e-03 eta: 2:24:37 time: 0.2159 data_time: 0.0156 memory: 11037 grad_norm: 11.1822 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.5857 loss: 2.5857 2022/08/08 15:07:37 - mmengine - INFO - Epoch(train) [9][580/673] lr: 2.0000e-03 eta: 2:24:22 time: 0.2144 data_time: 0.0138 memory: 11037 grad_norm: 10.7248 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7188 loss: 2.7188 2022/08/08 15:07:42 - mmengine - INFO - Epoch(train) [9][600/673] lr: 2.0000e-03 eta: 2:24:08 time: 0.2258 data_time: 0.0143 memory: 11037 grad_norm: 11.1951 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4677 loss: 2.4677 2022/08/08 15:07:45 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:07:46 - mmengine - INFO - Epoch(train) [9][620/673] lr: 2.0000e-03 eta: 2:23:52 time: 0.2143 data_time: 0.0128 memory: 11037 grad_norm: 11.2434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6716 loss: 2.6716 2022/08/08 15:07:50 - mmengine - INFO - Epoch(train) [9][640/673] lr: 2.0000e-03 eta: 2:23:37 time: 0.2123 data_time: 0.0126 memory: 11037 grad_norm: 10.5306 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5883 loss: 2.5883 2022/08/08 15:07:54 - mmengine - INFO - Epoch(train) [9][660/673] lr: 2.0000e-03 eta: 2:23:22 time: 0.2155 data_time: 0.0164 memory: 11037 grad_norm: 11.1214 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7167 loss: 2.7167 2022/08/08 15:07:57 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:07:57 - mmengine - INFO - Epoch(train) [9][673/673] lr: 2.0000e-03 eta: 2:23:22 time: 0.2087 data_time: 0.0126 memory: 11037 grad_norm: 12.6558 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.5659 loss: 2.5659 2022/08/08 15:07:57 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 15:08:43 - mmengine - INFO - Epoch(val) [9][20/91] eta: 0:00:07 time: 0.1011 data_time: 0.0298 memory: 1858 2022/08/08 15:08:44 - mmengine - INFO - Epoch(val) [9][40/91] eta: 0:00:03 time: 0.0632 data_time: 0.0092 memory: 1858 2022/08/08 15:08:45 - mmengine - INFO - Epoch(val) [9][60/91] eta: 0:00:01 time: 0.0617 data_time: 0.0082 memory: 1858 2022/08/08 15:08:47 - mmengine - INFO - Epoch(val) [9][80/91] eta: 0:00:00 time: 0.0619 data_time: 0.0083 memory: 1858 2022/08/08 15:08:48 - mmengine - INFO - Epoch(val) [9][91/91] acc/top1: 0.2526 acc/top5: 0.5268 acc/mean1: 0.2200 2022/08/08 15:08:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 15:09:13 - mmengine - INFO - The best checkpoint with 0.2526 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 15:09:13 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:09:19 - mmengine - INFO - Epoch(train) [10][20/673] lr: 2.0000e-03 eta: 2:22:50 time: 0.2811 data_time: 0.0625 memory: 11037 grad_norm: 10.8741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4901 loss: 2.4901 2022/08/08 15:09:23 - mmengine - INFO - Epoch(train) [10][40/673] lr: 2.0000e-03 eta: 2:22:36 time: 0.2150 data_time: 0.0146 memory: 11037 grad_norm: 11.0951 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.2211 loss: 2.2211 2022/08/08 15:09:27 - mmengine - INFO - Epoch(train) [10][60/673] lr: 2.0000e-03 eta: 2:22:21 time: 0.2145 data_time: 0.0127 memory: 11037 grad_norm: 11.0086 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6673 loss: 2.6673 2022/08/08 15:09:32 - mmengine - INFO - Epoch(train) [10][80/673] lr: 2.0000e-03 eta: 2:22:07 time: 0.2227 data_time: 0.0157 memory: 11037 grad_norm: 10.9340 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.4452 loss: 2.4452 2022/08/08 15:09:36 - mmengine - INFO - Epoch(train) [10][100/673] lr: 2.0000e-03 eta: 2:21:52 time: 0.2133 data_time: 0.0149 memory: 11037 grad_norm: 11.2256 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5190 loss: 2.5190 2022/08/08 15:09:40 - mmengine - INFO - Epoch(train) [10][120/673] lr: 2.0000e-03 eta: 2:21:37 time: 0.2140 data_time: 0.0126 memory: 11037 grad_norm: 10.8668 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 2.3496 loss: 2.3496 2022/08/08 15:09:44 - mmengine - INFO - Epoch(train) [10][140/673] lr: 2.0000e-03 eta: 2:21:22 time: 0.2145 data_time: 0.0112 memory: 11037 grad_norm: 10.6810 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4005 loss: 2.4005 2022/08/08 15:09:50 - mmengine - INFO - Epoch(train) [10][160/673] lr: 2.0000e-03 eta: 2:21:16 time: 0.3029 data_time: 0.0993 memory: 11037 grad_norm: 11.1751 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3970 loss: 2.3970 2022/08/08 15:09:56 - mmengine - INFO - Epoch(train) [10][180/673] lr: 2.0000e-03 eta: 2:21:08 time: 0.2889 data_time: 0.0881 memory: 11037 grad_norm: 11.1477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4445 loss: 2.4445 2022/08/08 15:10:01 - mmengine - INFO - Epoch(train) [10][200/673] lr: 2.0000e-03 eta: 2:20:56 time: 0.2497 data_time: 0.0485 memory: 11037 grad_norm: 10.9230 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4707 loss: 2.4707 2022/08/08 15:10:07 - mmengine - INFO - Epoch(train) [10][220/673] lr: 2.0000e-03 eta: 2:20:50 time: 0.3023 data_time: 0.1029 memory: 11037 grad_norm: 11.0974 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3395 loss: 2.3395 2022/08/08 15:10:12 - mmengine - INFO - Epoch(train) [10][240/673] lr: 2.0000e-03 eta: 2:20:36 time: 0.2214 data_time: 0.0141 memory: 11037 grad_norm: 10.8882 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6055 loss: 2.6055 2022/08/08 15:10:16 - mmengine - INFO - Epoch(train) [10][260/673] lr: 2.0000e-03 eta: 2:20:22 time: 0.2149 data_time: 0.0150 memory: 11037 grad_norm: 11.0914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5241 loss: 2.5241 2022/08/08 15:10:20 - mmengine - INFO - Epoch(train) [10][280/673] lr: 2.0000e-03 eta: 2:20:07 time: 0.2134 data_time: 0.0147 memory: 11037 grad_norm: 10.9025 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5464 loss: 2.5464 2022/08/08 15:10:26 - mmengine - INFO - Epoch(train) [10][300/673] lr: 2.0000e-03 eta: 2:20:00 time: 0.2884 data_time: 0.0860 memory: 11037 grad_norm: 10.9995 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4957 loss: 2.4957 2022/08/08 15:10:30 - mmengine - INFO - Epoch(train) [10][320/673] lr: 2.0000e-03 eta: 2:19:45 time: 0.2130 data_time: 0.0144 memory: 11037 grad_norm: 10.8287 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6671 loss: 2.6671 2022/08/08 15:10:35 - mmengine - INFO - Epoch(train) [10][340/673] lr: 2.0000e-03 eta: 2:19:32 time: 0.2217 data_time: 0.0131 memory: 11037 grad_norm: 11.0942 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4549 loss: 2.4549 2022/08/08 15:10:39 - mmengine - INFO - Epoch(train) [10][360/673] lr: 2.0000e-03 eta: 2:19:18 time: 0.2133 data_time: 0.0142 memory: 11037 grad_norm: 10.9861 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6098 loss: 2.6098 2022/08/08 15:10:43 - mmengine - INFO - Epoch(train) [10][380/673] lr: 2.0000e-03 eta: 2:19:04 time: 0.2142 data_time: 0.0138 memory: 11037 grad_norm: 11.1998 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/08/08 15:10:48 - mmengine - INFO - Epoch(train) [10][400/673] lr: 2.0000e-03 eta: 2:18:50 time: 0.2138 data_time: 0.0165 memory: 11037 grad_norm: 11.0907 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3649 loss: 2.3649 2022/08/08 15:10:52 - mmengine - INFO - Epoch(train) [10][420/673] lr: 2.0000e-03 eta: 2:18:37 time: 0.2223 data_time: 0.0131 memory: 11037 grad_norm: 10.9303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5711 loss: 2.5711 2022/08/08 15:10:56 - mmengine - INFO - Epoch(train) [10][440/673] lr: 2.0000e-03 eta: 2:18:23 time: 0.2144 data_time: 0.0146 memory: 11037 grad_norm: 10.9517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2519 loss: 2.2519 2022/08/08 15:11:01 - mmengine - INFO - Epoch(train) [10][460/673] lr: 2.0000e-03 eta: 2:18:09 time: 0.2137 data_time: 0.0132 memory: 11037 grad_norm: 11.0674 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.6245 loss: 2.6245 2022/08/08 15:11:05 - mmengine - INFO - Epoch(train) [10][480/673] lr: 2.0000e-03 eta: 2:17:55 time: 0.2145 data_time: 0.0135 memory: 11037 grad_norm: 10.9060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4758 loss: 2.4758 2022/08/08 15:11:09 - mmengine - INFO - Epoch(train) [10][500/673] lr: 2.0000e-03 eta: 2:17:42 time: 0.2128 data_time: 0.0140 memory: 11037 grad_norm: 11.2367 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.4869 loss: 2.4869 2022/08/08 15:11:14 - mmengine - INFO - Epoch(train) [10][520/673] lr: 2.0000e-03 eta: 2:17:29 time: 0.2298 data_time: 0.0135 memory: 11037 grad_norm: 11.0332 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5298 loss: 2.5298 2022/08/08 15:11:18 - mmengine - INFO - Epoch(train) [10][540/673] lr: 2.0000e-03 eta: 2:17:16 time: 0.2147 data_time: 0.0141 memory: 11037 grad_norm: 11.0500 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7219 loss: 2.7219 2022/08/08 15:11:22 - mmengine - INFO - Epoch(train) [10][560/673] lr: 2.0000e-03 eta: 2:17:03 time: 0.2156 data_time: 0.0144 memory: 11037 grad_norm: 10.6955 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.5469 loss: 2.5469 2022/08/08 15:11:27 - mmengine - INFO - Epoch(train) [10][580/673] lr: 2.0000e-03 eta: 2:16:49 time: 0.2143 data_time: 0.0144 memory: 11037 grad_norm: 10.9249 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6177 loss: 2.6177 2022/08/08 15:11:31 - mmengine - INFO - Epoch(train) [10][600/673] lr: 2.0000e-03 eta: 2:16:38 time: 0.2361 data_time: 0.0159 memory: 11037 grad_norm: 11.3506 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3671 loss: 2.3671 2022/08/08 15:11:36 - mmengine - INFO - Epoch(train) [10][620/673] lr: 2.0000e-03 eta: 2:16:24 time: 0.2136 data_time: 0.0149 memory: 11037 grad_norm: 10.6864 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4538 loss: 2.4538 2022/08/08 15:11:40 - mmengine - INFO - Epoch(train) [10][640/673] lr: 2.0000e-03 eta: 2:16:11 time: 0.2130 data_time: 0.0123 memory: 11037 grad_norm: 10.6656 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5319 loss: 2.5319 2022/08/08 15:11:44 - mmengine - INFO - Epoch(train) [10][660/673] lr: 2.0000e-03 eta: 2:15:58 time: 0.2149 data_time: 0.0133 memory: 11037 grad_norm: 11.0759 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2940 loss: 2.2940 2022/08/08 15:11:48 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:11:49 - mmengine - INFO - Epoch(train) [10][673/673] lr: 2.0000e-03 eta: 2:15:58 time: 0.2617 data_time: 0.0675 memory: 11037 grad_norm: 12.1737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2402 loss: 2.2402 2022/08/08 15:11:50 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/08 15:12:23 - mmengine - INFO - Epoch(val) [10][20/91] eta: 0:00:07 time: 0.1017 data_time: 0.0309 memory: 1858 2022/08/08 15:12:25 - mmengine - INFO - Epoch(val) [10][40/91] eta: 0:00:03 time: 0.0629 data_time: 0.0090 memory: 1858 2022/08/08 15:12:26 - mmengine - INFO - Epoch(val) [10][60/91] eta: 0:00:01 time: 0.0632 data_time: 0.0086 memory: 1858 2022/08/08 15:12:27 - mmengine - INFO - Epoch(val) [10][80/91] eta: 0:00:00 time: 0.0636 data_time: 0.0091 memory: 1858 2022/08/08 15:12:28 - mmengine - INFO - Epoch(val) [10][91/91] acc/top1: 0.2461 acc/top5: 0.5212 acc/mean1: 0.2245 2022/08/08 15:12:28 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:12:34 - mmengine - INFO - Epoch(train) [11][20/673] lr: 2.0000e-03 eta: 2:15:28 time: 0.2585 data_time: 0.0447 memory: 11037 grad_norm: 11.5483 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2911 loss: 2.2911 2022/08/08 15:12:38 - mmengine - INFO - Epoch(train) [11][40/673] lr: 2.0000e-03 eta: 2:15:15 time: 0.2119 data_time: 0.0133 memory: 11037 grad_norm: 11.2458 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6562 loss: 2.6562 2022/08/08 15:12:42 - mmengine - INFO - Epoch(train) [11][60/673] lr: 2.0000e-03 eta: 2:15:03 time: 0.2285 data_time: 0.0125 memory: 11037 grad_norm: 11.1748 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3409 loss: 2.3409 2022/08/08 15:12:47 - mmengine - INFO - Epoch(train) [11][80/673] lr: 2.0000e-03 eta: 2:14:51 time: 0.2147 data_time: 0.0153 memory: 11037 grad_norm: 11.1787 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3885 loss: 2.3885 2022/08/08 15:12:51 - mmengine - INFO - Epoch(train) [11][100/673] lr: 2.0000e-03 eta: 2:14:38 time: 0.2123 data_time: 0.0139 memory: 11037 grad_norm: 11.2322 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2778 loss: 2.2778 2022/08/08 15:12:55 - mmengine - INFO - Epoch(train) [11][120/673] lr: 2.0000e-03 eta: 2:14:25 time: 0.2140 data_time: 0.0129 memory: 11037 grad_norm: 11.1957 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4879 loss: 2.4879 2022/08/08 15:12:59 - mmengine - INFO - Epoch(train) [11][140/673] lr: 2.0000e-03 eta: 2:14:12 time: 0.2134 data_time: 0.0136 memory: 11037 grad_norm: 11.4333 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4836 loss: 2.4836 2022/08/08 15:13:04 - mmengine - INFO - Epoch(train) [11][160/673] lr: 2.0000e-03 eta: 2:14:00 time: 0.2305 data_time: 0.0124 memory: 11037 grad_norm: 11.3340 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6046 loss: 2.6046 2022/08/08 15:13:08 - mmengine - INFO - Epoch(train) [11][180/673] lr: 2.0000e-03 eta: 2:13:48 time: 0.2134 data_time: 0.0141 memory: 11037 grad_norm: 11.0195 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5475 loss: 2.5475 2022/08/08 15:13:13 - mmengine - INFO - Epoch(train) [11][200/673] lr: 2.0000e-03 eta: 2:13:35 time: 0.2135 data_time: 0.0131 memory: 11037 grad_norm: 11.2625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3415 loss: 2.3415 2022/08/08 15:13:17 - mmengine - INFO - Epoch(train) [11][220/673] lr: 2.0000e-03 eta: 2:13:22 time: 0.2122 data_time: 0.0147 memory: 11037 grad_norm: 11.1133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3227 loss: 2.3227 2022/08/08 15:13:21 - mmengine - INFO - Epoch(train) [11][240/673] lr: 2.0000e-03 eta: 2:13:10 time: 0.2200 data_time: 0.0141 memory: 11037 grad_norm: 10.7842 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3264 loss: 2.3264 2022/08/08 15:13:26 - mmengine - INFO - Epoch(train) [11][260/673] lr: 2.0000e-03 eta: 2:12:58 time: 0.2183 data_time: 0.0174 memory: 11037 grad_norm: 11.2653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3907 loss: 2.3907 2022/08/08 15:13:28 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:13:30 - mmengine - INFO - Epoch(train) [11][280/673] lr: 2.0000e-03 eta: 2:12:45 time: 0.2130 data_time: 0.0137 memory: 11037 grad_norm: 11.0887 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4017 loss: 2.4017 2022/08/08 15:13:34 - mmengine - INFO - Epoch(train) [11][300/673] lr: 2.0000e-03 eta: 2:12:33 time: 0.2125 data_time: 0.0134 memory: 11037 grad_norm: 10.9367 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4389 loss: 2.4389 2022/08/08 15:13:39 - mmengine - INFO - Epoch(train) [11][320/673] lr: 2.0000e-03 eta: 2:12:22 time: 0.2369 data_time: 0.0383 memory: 11037 grad_norm: 10.7272 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5450 loss: 2.5450 2022/08/08 15:13:43 - mmengine - INFO - Epoch(train) [11][340/673] lr: 2.0000e-03 eta: 2:12:11 time: 0.2261 data_time: 0.0150 memory: 11037 grad_norm: 11.1520 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4343 loss: 2.4343 2022/08/08 15:13:48 - mmengine - INFO - Epoch(train) [11][360/673] lr: 2.0000e-03 eta: 2:11:58 time: 0.2130 data_time: 0.0123 memory: 11037 grad_norm: 11.1355 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/08/08 15:13:52 - mmengine - INFO - Epoch(train) [11][380/673] lr: 2.0000e-03 eta: 2:11:46 time: 0.2128 data_time: 0.0140 memory: 11037 grad_norm: 10.9278 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3392 loss: 2.3392 2022/08/08 15:13:56 - mmengine - INFO - Epoch(train) [11][400/673] lr: 2.0000e-03 eta: 2:11:34 time: 0.2127 data_time: 0.0134 memory: 11037 grad_norm: 10.8923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3975 loss: 2.3975 2022/08/08 15:14:00 - mmengine - INFO - Epoch(train) [11][420/673] lr: 2.0000e-03 eta: 2:11:22 time: 0.2151 data_time: 0.0122 memory: 11037 grad_norm: 10.8624 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2893 loss: 2.2893 2022/08/08 15:14:05 - mmengine - INFO - Epoch(train) [11][440/673] lr: 2.0000e-03 eta: 2:11:10 time: 0.2215 data_time: 0.0148 memory: 11037 grad_norm: 10.7126 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4617 loss: 2.4617 2022/08/08 15:14:09 - mmengine - INFO - Epoch(train) [11][460/673] lr: 2.0000e-03 eta: 2:10:58 time: 0.2125 data_time: 0.0141 memory: 11037 grad_norm: 10.7916 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4762 loss: 2.4762 2022/08/08 15:14:16 - mmengine - INFO - Epoch(train) [11][480/673] lr: 2.0000e-03 eta: 2:10:57 time: 0.3628 data_time: 0.1633 memory: 11037 grad_norm: 10.8574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5090 loss: 2.5090 2022/08/08 15:14:21 - mmengine - INFO - Epoch(train) [11][500/673] lr: 2.0000e-03 eta: 2:10:45 time: 0.2185 data_time: 0.0152 memory: 11037 grad_norm: 10.5516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4835 loss: 2.4835 2022/08/08 15:14:27 - mmengine - INFO - Epoch(train) [11][520/673] lr: 2.0000e-03 eta: 2:10:39 time: 0.2939 data_time: 0.0933 memory: 11037 grad_norm: 10.9024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3061 loss: 2.3061 2022/08/08 15:14:31 - mmengine - INFO - Epoch(train) [11][540/673] lr: 2.0000e-03 eta: 2:10:27 time: 0.2176 data_time: 0.0144 memory: 11037 grad_norm: 11.1250 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4040 loss: 2.4040 2022/08/08 15:14:36 - mmengine - INFO - Epoch(train) [11][560/673] lr: 2.0000e-03 eta: 2:10:18 time: 0.2521 data_time: 0.0503 memory: 11037 grad_norm: 11.1117 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5518 loss: 2.5518 2022/08/08 15:14:40 - mmengine - INFO - Epoch(train) [11][580/673] lr: 2.0000e-03 eta: 2:10:06 time: 0.2126 data_time: 0.0126 memory: 11037 grad_norm: 10.6874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4620 loss: 2.4620 2022/08/08 15:14:45 - mmengine - INFO - Epoch(train) [11][600/673] lr: 2.0000e-03 eta: 2:09:55 time: 0.2195 data_time: 0.0143 memory: 11037 grad_norm: 10.8539 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6591 loss: 2.6591 2022/08/08 15:14:49 - mmengine - INFO - Epoch(train) [11][620/673] lr: 2.0000e-03 eta: 2:09:43 time: 0.2139 data_time: 0.0118 memory: 11037 grad_norm: 11.3095 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6605 loss: 2.6605 2022/08/08 15:14:53 - mmengine - INFO - Epoch(train) [11][640/673] lr: 2.0000e-03 eta: 2:09:31 time: 0.2163 data_time: 0.0150 memory: 11037 grad_norm: 10.8147 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4284 loss: 2.4284 2022/08/08 15:14:58 - mmengine - INFO - Epoch(train) [11][660/673] lr: 2.0000e-03 eta: 2:09:20 time: 0.2209 data_time: 0.0145 memory: 11037 grad_norm: 10.8883 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4821 loss: 2.4821 2022/08/08 15:15:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:15:00 - mmengine - INFO - Epoch(train) [11][673/673] lr: 2.0000e-03 eta: 2:09:20 time: 0.2173 data_time: 0.0109 memory: 11037 grad_norm: 12.7541 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.5827 loss: 2.5827 2022/08/08 15:15:01 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/08 15:15:44 - mmengine - INFO - Epoch(val) [11][20/91] eta: 0:00:07 time: 0.1049 data_time: 0.0328 memory: 1858 2022/08/08 15:15:45 - mmengine - INFO - Epoch(val) [11][40/91] eta: 0:00:03 time: 0.0633 data_time: 0.0093 memory: 1858 2022/08/08 15:15:46 - mmengine - INFO - Epoch(val) [11][60/91] eta: 0:00:01 time: 0.0630 data_time: 0.0086 memory: 1858 2022/08/08 15:15:48 - mmengine - INFO - Epoch(val) [11][80/91] eta: 0:00:00 time: 0.0704 data_time: 0.0160 memory: 1858 2022/08/08 15:15:49 - mmengine - INFO - Epoch(val) [11][91/91] acc/top1: 0.2541 acc/top5: 0.5294 acc/mean1: 0.2253 2022/08/08 15:15:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 15:16:07 - mmengine - INFO - The best checkpoint with 0.2541 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 15:16:07 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:16:12 - mmengine - INFO - Epoch(train) [12][20/673] lr: 2.0000e-03 eta: 2:08:57 time: 0.2962 data_time: 0.0599 memory: 11037 grad_norm: 11.0838 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2277 loss: 2.2277 2022/08/08 15:16:17 - mmengine - INFO - Epoch(train) [12][40/673] lr: 2.0000e-03 eta: 2:08:48 time: 0.2494 data_time: 0.0488 memory: 11037 grad_norm: 11.2198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4468 loss: 2.4468 2022/08/08 15:16:24 - mmengine - INFO - Epoch(train) [12][60/673] lr: 2.0000e-03 eta: 2:08:42 time: 0.3042 data_time: 0.0899 memory: 11037 grad_norm: 11.2678 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3368 loss: 2.3368 2022/08/08 15:16:28 - mmengine - INFO - Epoch(train) [12][80/673] lr: 2.0000e-03 eta: 2:08:31 time: 0.2167 data_time: 0.0161 memory: 11037 grad_norm: 11.5719 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3150 loss: 2.3150 2022/08/08 15:16:32 - mmengine - INFO - Epoch(train) [12][100/673] lr: 2.0000e-03 eta: 2:08:20 time: 0.2154 data_time: 0.0134 memory: 11037 grad_norm: 10.5710 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4731 loss: 2.4731 2022/08/08 15:16:36 - mmengine - INFO - Epoch(train) [12][120/673] lr: 2.0000e-03 eta: 2:08:08 time: 0.2126 data_time: 0.0115 memory: 11037 grad_norm: 11.0803 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2053 loss: 2.2053 2022/08/08 15:16:41 - mmengine - INFO - Epoch(train) [12][140/673] lr: 2.0000e-03 eta: 2:07:57 time: 0.2142 data_time: 0.0122 memory: 11037 grad_norm: 11.4012 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4106 loss: 2.4106 2022/08/08 15:16:45 - mmengine - INFO - Epoch(train) [12][160/673] lr: 2.0000e-03 eta: 2:07:46 time: 0.2233 data_time: 0.0145 memory: 11037 grad_norm: 10.8059 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3663 loss: 2.3663 2022/08/08 15:16:49 - mmengine - INFO - Epoch(train) [12][180/673] lr: 2.0000e-03 eta: 2:07:34 time: 0.2135 data_time: 0.0140 memory: 11037 grad_norm: 11.0123 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4546 loss: 2.4546 2022/08/08 15:16:54 - mmengine - INFO - Epoch(train) [12][200/673] lr: 2.0000e-03 eta: 2:07:23 time: 0.2127 data_time: 0.0146 memory: 11037 grad_norm: 10.8280 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1225 loss: 2.1225 2022/08/08 15:16:58 - mmengine - INFO - Epoch(train) [12][220/673] lr: 2.0000e-03 eta: 2:07:12 time: 0.2158 data_time: 0.0145 memory: 11037 grad_norm: 10.7531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5578 loss: 2.5578 2022/08/08 15:17:03 - mmengine - INFO - Epoch(train) [12][240/673] lr: 2.0000e-03 eta: 2:07:03 time: 0.2508 data_time: 0.0135 memory: 11037 grad_norm: 10.9003 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2794 loss: 2.2794 2022/08/08 15:17:07 - mmengine - INFO - Epoch(train) [12][260/673] lr: 2.0000e-03 eta: 2:06:52 time: 0.2129 data_time: 0.0136 memory: 11037 grad_norm: 11.2427 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0885 loss: 2.0885 2022/08/08 15:17:12 - mmengine - INFO - Epoch(train) [12][280/673] lr: 2.0000e-03 eta: 2:06:41 time: 0.2141 data_time: 0.0126 memory: 11037 grad_norm: 10.7193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2564 loss: 2.2564 2022/08/08 15:17:16 - mmengine - INFO - Epoch(train) [12][300/673] lr: 2.0000e-03 eta: 2:06:29 time: 0.2136 data_time: 0.0125 memory: 11037 grad_norm: 11.0535 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.3665 loss: 2.3665 2022/08/08 15:17:20 - mmengine - INFO - Epoch(train) [12][320/673] lr: 2.0000e-03 eta: 2:06:18 time: 0.2132 data_time: 0.0127 memory: 11037 grad_norm: 11.2092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5055 loss: 2.5055 2022/08/08 15:17:25 - mmengine - INFO - Epoch(train) [12][340/673] lr: 2.0000e-03 eta: 2:06:08 time: 0.2241 data_time: 0.0159 memory: 11037 grad_norm: 10.4486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5779 loss: 2.5779 2022/08/08 15:17:29 - mmengine - INFO - Epoch(train) [12][360/673] lr: 2.0000e-03 eta: 2:05:57 time: 0.2148 data_time: 0.0125 memory: 11037 grad_norm: 10.7874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9990 loss: 1.9990 2022/08/08 15:17:33 - mmengine - INFO - Epoch(train) [12][380/673] lr: 2.0000e-03 eta: 2:05:46 time: 0.2206 data_time: 0.0142 memory: 11037 grad_norm: 11.0438 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4799 loss: 2.4799 2022/08/08 15:17:38 - mmengine - INFO - Epoch(train) [12][400/673] lr: 2.0000e-03 eta: 2:05:35 time: 0.2123 data_time: 0.0148 memory: 11037 grad_norm: 10.7809 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2479 loss: 2.2479 2022/08/08 15:17:42 - mmengine - INFO - Epoch(train) [12][420/673] lr: 2.0000e-03 eta: 2:05:25 time: 0.2240 data_time: 0.0142 memory: 11037 grad_norm: 10.7692 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2729 loss: 2.2729 2022/08/08 15:17:46 - mmengine - INFO - Epoch(train) [12][440/673] lr: 2.0000e-03 eta: 2:05:14 time: 0.2138 data_time: 0.0146 memory: 11037 grad_norm: 11.3416 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5025 loss: 2.5025 2022/08/08 15:17:51 - mmengine - INFO - Epoch(train) [12][460/673] lr: 2.0000e-03 eta: 2:05:03 time: 0.2127 data_time: 0.0126 memory: 11037 grad_norm: 10.5517 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4144 loss: 2.4144 2022/08/08 15:17:55 - mmengine - INFO - Epoch(train) [12][480/673] lr: 2.0000e-03 eta: 2:04:53 time: 0.2230 data_time: 0.0119 memory: 11037 grad_norm: 11.0818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2209 loss: 2.2209 2022/08/08 15:17:59 - mmengine - INFO - Epoch(train) [12][500/673] lr: 2.0000e-03 eta: 2:04:42 time: 0.2147 data_time: 0.0126 memory: 11037 grad_norm: 10.7676 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4146 loss: 2.4146 2022/08/08 15:18:04 - mmengine - INFO - Epoch(train) [12][520/673] lr: 2.0000e-03 eta: 2:04:31 time: 0.2147 data_time: 0.0168 memory: 11037 grad_norm: 11.4497 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2665 loss: 2.2665 2022/08/08 15:18:08 - mmengine - INFO - Epoch(train) [12][540/673] lr: 2.0000e-03 eta: 2:04:20 time: 0.2126 data_time: 0.0135 memory: 11037 grad_norm: 11.0878 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1927 loss: 2.1927 2022/08/08 15:18:13 - mmengine - INFO - Epoch(train) [12][560/673] lr: 2.0000e-03 eta: 2:04:13 time: 0.2625 data_time: 0.0149 memory: 11037 grad_norm: 11.3794 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4597 loss: 2.4597 2022/08/08 15:18:17 - mmengine - INFO - Epoch(train) [12][580/673] lr: 2.0000e-03 eta: 2:04:02 time: 0.2150 data_time: 0.0139 memory: 11037 grad_norm: 11.0214 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4822 loss: 2.4822 2022/08/08 15:18:21 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:18:22 - mmengine - INFO - Epoch(train) [12][600/673] lr: 2.0000e-03 eta: 2:03:51 time: 0.2136 data_time: 0.0129 memory: 11037 grad_norm: 11.4153 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2681 loss: 2.2681 2022/08/08 15:18:26 - mmengine - INFO - Epoch(train) [12][620/673] lr: 2.0000e-03 eta: 2:03:41 time: 0.2137 data_time: 0.0143 memory: 11037 grad_norm: 10.7000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3789 loss: 2.3789 2022/08/08 15:18:30 - mmengine - INFO - Epoch(train) [12][640/673] lr: 2.0000e-03 eta: 2:03:30 time: 0.2142 data_time: 0.0128 memory: 11037 grad_norm: 10.9281 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4429 loss: 2.4429 2022/08/08 15:18:36 - mmengine - INFO - Epoch(train) [12][660/673] lr: 2.0000e-03 eta: 2:03:23 time: 0.2665 data_time: 0.0150 memory: 11037 grad_norm: 11.4015 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4310 loss: 2.4310 2022/08/08 15:18:38 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:18:38 - mmengine - INFO - Epoch(train) [12][673/673] lr: 2.0000e-03 eta: 2:03:23 time: 0.2142 data_time: 0.0125 memory: 11037 grad_norm: 12.5894 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.6188 loss: 2.6188 2022/08/08 15:18:38 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 15:18:43 - mmengine - INFO - Epoch(val) [12][20/91] eta: 0:00:05 time: 0.0788 data_time: 0.0174 memory: 1858 2022/08/08 15:18:44 - mmengine - INFO - Epoch(val) [12][40/91] eta: 0:00:03 time: 0.0690 data_time: 0.0118 memory: 1858 2022/08/08 15:18:45 - mmengine - INFO - Epoch(val) [12][60/91] eta: 0:00:02 time: 0.0648 data_time: 0.0097 memory: 1858 2022/08/08 15:18:47 - mmengine - INFO - Epoch(val) [12][80/91] eta: 0:00:00 time: 0.0632 data_time: 0.0087 memory: 1858 2022/08/08 15:18:48 - mmengine - INFO - Epoch(val) [12][91/91] acc/top1: 0.2491 acc/top5: 0.5307 acc/mean1: 0.2171 2022/08/08 15:18:48 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:18:53 - mmengine - INFO - Epoch(train) [13][20/673] lr: 2.0000e-03 eta: 2:02:59 time: 0.2527 data_time: 0.0408 memory: 11037 grad_norm: 11.2584 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3227 loss: 2.3227 2022/08/08 15:18:57 - mmengine - INFO - Epoch(train) [13][40/673] lr: 2.0000e-03 eta: 2:02:49 time: 0.2139 data_time: 0.0121 memory: 11037 grad_norm: 10.9655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4770 loss: 2.4770 2022/08/08 15:19:02 - mmengine - INFO - Epoch(train) [13][60/673] lr: 2.0000e-03 eta: 2:02:38 time: 0.2141 data_time: 0.0153 memory: 11037 grad_norm: 11.5217 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4574 loss: 2.4574 2022/08/08 15:19:06 - mmengine - INFO - Epoch(train) [13][80/673] lr: 2.0000e-03 eta: 2:02:28 time: 0.2132 data_time: 0.0121 memory: 11037 grad_norm: 10.7913 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/08/08 15:19:10 - mmengine - INFO - Epoch(train) [13][100/673] lr: 2.0000e-03 eta: 2:02:17 time: 0.2133 data_time: 0.0129 memory: 11037 grad_norm: 10.7427 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1396 loss: 2.1396 2022/08/08 15:19:15 - mmengine - INFO - Epoch(train) [13][120/673] lr: 2.0000e-03 eta: 2:02:08 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 11.5996 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2242 loss: 2.2242 2022/08/08 15:19:19 - mmengine - INFO - Epoch(train) [13][140/673] lr: 2.0000e-03 eta: 2:01:57 time: 0.2127 data_time: 0.0146 memory: 11037 grad_norm: 11.4830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1737 loss: 2.1737 2022/08/08 15:19:23 - mmengine - INFO - Epoch(train) [13][160/673] lr: 2.0000e-03 eta: 2:01:47 time: 0.2132 data_time: 0.0132 memory: 11037 grad_norm: 11.1719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4578 loss: 2.4578 2022/08/08 15:19:27 - mmengine - INFO - Epoch(train) [13][180/673] lr: 2.0000e-03 eta: 2:01:37 time: 0.2147 data_time: 0.0116 memory: 11037 grad_norm: 10.5281 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4476 loss: 2.4476 2022/08/08 15:19:32 - mmengine - INFO - Epoch(train) [13][200/673] lr: 2.0000e-03 eta: 2:01:28 time: 0.2347 data_time: 0.0142 memory: 11037 grad_norm: 10.7680 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3390 loss: 2.3390 2022/08/08 15:19:36 - mmengine - INFO - Epoch(train) [13][220/673] lr: 2.0000e-03 eta: 2:01:17 time: 0.2128 data_time: 0.0131 memory: 11037 grad_norm: 11.0338 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3446 loss: 2.3446 2022/08/08 15:19:41 - mmengine - INFO - Epoch(train) [13][240/673] lr: 2.0000e-03 eta: 2:01:07 time: 0.2146 data_time: 0.0122 memory: 11037 grad_norm: 10.8998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2919 loss: 2.2919 2022/08/08 15:19:45 - mmengine - INFO - Epoch(train) [13][260/673] lr: 2.0000e-03 eta: 2:00:57 time: 0.2173 data_time: 0.0135 memory: 11037 grad_norm: 10.9811 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4166 loss: 2.4166 2022/08/08 15:19:49 - mmengine - INFO - Epoch(train) [13][280/673] lr: 2.0000e-03 eta: 2:00:47 time: 0.2154 data_time: 0.0138 memory: 11037 grad_norm: 11.0032 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4597 loss: 2.4597 2022/08/08 15:19:54 - mmengine - INFO - Epoch(train) [13][300/673] lr: 2.0000e-03 eta: 2:00:38 time: 0.2362 data_time: 0.0136 memory: 11037 grad_norm: 10.8898 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4471 loss: 2.4471 2022/08/08 15:19:58 - mmengine - INFO - Epoch(train) [13][320/673] lr: 2.0000e-03 eta: 2:00:28 time: 0.2148 data_time: 0.0144 memory: 11037 grad_norm: 11.0496 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3108 loss: 2.3108 2022/08/08 15:20:03 - mmengine - INFO - Epoch(train) [13][340/673] lr: 2.0000e-03 eta: 2:00:18 time: 0.2142 data_time: 0.0122 memory: 11037 grad_norm: 10.4413 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3038 loss: 2.3038 2022/08/08 15:20:07 - mmengine - INFO - Epoch(train) [13][360/673] lr: 2.0000e-03 eta: 2:00:08 time: 0.2153 data_time: 0.0134 memory: 11037 grad_norm: 10.9176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2907 loss: 2.2907 2022/08/08 15:20:11 - mmengine - INFO - Epoch(train) [13][380/673] lr: 2.0000e-03 eta: 1:59:59 time: 0.2248 data_time: 0.0120 memory: 11037 grad_norm: 10.9828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2251 loss: 2.2251 2022/08/08 15:20:16 - mmengine - INFO - Epoch(train) [13][400/673] lr: 2.0000e-03 eta: 1:59:50 time: 0.2221 data_time: 0.0125 memory: 11037 grad_norm: 11.4392 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2283 loss: 2.2283 2022/08/08 15:20:20 - mmengine - INFO - Epoch(train) [13][420/673] lr: 2.0000e-03 eta: 1:59:40 time: 0.2125 data_time: 0.0129 memory: 11037 grad_norm: 10.7342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1119 loss: 2.1119 2022/08/08 15:20:24 - mmengine - INFO - Epoch(train) [13][440/673] lr: 2.0000e-03 eta: 1:59:30 time: 0.2138 data_time: 0.0117 memory: 11037 grad_norm: 10.6515 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3050 loss: 2.3050 2022/08/08 15:20:29 - mmengine - INFO - Epoch(train) [13][460/673] lr: 2.0000e-03 eta: 1:59:20 time: 0.2133 data_time: 0.0135 memory: 11037 grad_norm: 11.1674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2861 loss: 2.2861 2022/08/08 15:20:33 - mmengine - INFO - Epoch(train) [13][480/673] lr: 2.0000e-03 eta: 1:59:10 time: 0.2213 data_time: 0.0121 memory: 11037 grad_norm: 11.0176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1818 loss: 2.1818 2022/08/08 15:20:37 - mmengine - INFO - Epoch(train) [13][500/673] lr: 2.0000e-03 eta: 1:59:00 time: 0.2144 data_time: 0.0125 memory: 11037 grad_norm: 10.5363 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4117 loss: 2.4117 2022/08/08 15:20:42 - mmengine - INFO - Epoch(train) [13][520/673] lr: 2.0000e-03 eta: 1:58:50 time: 0.2127 data_time: 0.0135 memory: 11037 grad_norm: 10.7496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2665 loss: 2.2665 2022/08/08 15:20:46 - mmengine - INFO - Epoch(train) [13][540/673] lr: 2.0000e-03 eta: 1:58:41 time: 0.2133 data_time: 0.0131 memory: 11037 grad_norm: 11.3479 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1734 loss: 2.1734 2022/08/08 15:20:50 - mmengine - INFO - Epoch(train) [13][560/673] lr: 2.0000e-03 eta: 1:58:31 time: 0.2125 data_time: 0.0121 memory: 11037 grad_norm: 11.1826 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4099 loss: 2.4099 2022/08/08 15:20:55 - mmengine - INFO - Epoch(train) [13][580/673] lr: 2.0000e-03 eta: 1:58:22 time: 0.2262 data_time: 0.0135 memory: 11037 grad_norm: 11.0074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3391 loss: 2.3391 2022/08/08 15:20:59 - mmengine - INFO - Epoch(train) [13][600/673] lr: 2.0000e-03 eta: 1:58:12 time: 0.2139 data_time: 0.0130 memory: 11037 grad_norm: 11.1124 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4039 loss: 2.4039 2022/08/08 15:21:04 - mmengine - INFO - Epoch(train) [13][620/673] lr: 2.0000e-03 eta: 1:58:04 time: 0.2399 data_time: 0.0140 memory: 11037 grad_norm: 10.7557 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2834 loss: 2.2834 2022/08/08 15:21:08 - mmengine - INFO - Epoch(train) [13][640/673] lr: 2.0000e-03 eta: 1:57:54 time: 0.2136 data_time: 0.0143 memory: 11037 grad_norm: 10.8685 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3479 loss: 2.3479 2022/08/08 15:21:13 - mmengine - INFO - Epoch(train) [13][660/673] lr: 2.0000e-03 eta: 1:57:45 time: 0.2300 data_time: 0.0161 memory: 11037 grad_norm: 10.9901 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1785 loss: 2.1785 2022/08/08 15:21:15 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:21:15 - mmengine - INFO - Epoch(train) [13][673/673] lr: 2.0000e-03 eta: 1:57:45 time: 0.2269 data_time: 0.0165 memory: 11037 grad_norm: 12.5335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2588 loss: 2.2588 2022/08/08 15:21:15 - mmengine - INFO - Saving checkpoint at 13 epochs 2022/08/08 15:21:19 - mmengine - INFO - Epoch(val) [13][20/91] eta: 0:00:05 time: 0.0755 data_time: 0.0163 memory: 1858 2022/08/08 15:21:21 - mmengine - INFO - Epoch(val) [13][40/91] eta: 0:00:03 time: 0.0694 data_time: 0.0113 memory: 1858 2022/08/08 15:21:22 - mmengine - INFO - Epoch(val) [13][60/91] eta: 0:00:02 time: 0.0676 data_time: 0.0101 memory: 1858 2022/08/08 15:21:23 - mmengine - INFO - Epoch(val) [13][80/91] eta: 0:00:00 time: 0.0632 data_time: 0.0088 memory: 1858 2022/08/08 15:21:24 - mmengine - INFO - Epoch(val) [13][91/91] acc/top1: 0.2777 acc/top5: 0.5514 acc/mean1: 0.2461 2022/08/08 15:21:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 15:21:26 - mmengine - INFO - The best checkpoint with 0.2777 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/08 15:21:26 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:21:31 - mmengine - INFO - Epoch(train) [14][20/673] lr: 2.0000e-03 eta: 1:57:23 time: 0.2346 data_time: 0.0341 memory: 11037 grad_norm: 10.8496 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2639 loss: 2.2639 2022/08/08 15:21:35 - mmengine - INFO - Epoch(train) [14][40/673] lr: 2.0000e-03 eta: 1:57:13 time: 0.2157 data_time: 0.0138 memory: 11037 grad_norm: 10.8925 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2876 loss: 2.2876 2022/08/08 15:21:40 - mmengine - INFO - Epoch(train) [14][60/673] lr: 2.0000e-03 eta: 1:57:04 time: 0.2156 data_time: 0.0136 memory: 11037 grad_norm: 11.0925 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3252 loss: 2.3252 2022/08/08 15:21:44 - mmengine - INFO - Epoch(train) [14][80/673] lr: 2.0000e-03 eta: 1:56:55 time: 0.2190 data_time: 0.0134 memory: 11037 grad_norm: 11.0789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0307 loss: 2.0307 2022/08/08 15:21:48 - mmengine - INFO - Epoch(train) [14][100/673] lr: 2.0000e-03 eta: 1:56:45 time: 0.2136 data_time: 0.0137 memory: 11037 grad_norm: 10.8401 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2726 loss: 2.2726 2022/08/08 15:21:52 - mmengine - INFO - Epoch(train) [14][120/673] lr: 2.0000e-03 eta: 1:56:36 time: 0.2143 data_time: 0.0125 memory: 11037 grad_norm: 11.0647 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1275 loss: 2.1275 2022/08/08 15:21:57 - mmengine - INFO - Epoch(train) [14][140/673] lr: 2.0000e-03 eta: 1:56:26 time: 0.2146 data_time: 0.0123 memory: 11037 grad_norm: 10.5911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1151 loss: 2.1151 2022/08/08 15:22:01 - mmengine - INFO - Epoch(train) [14][160/673] lr: 2.0000e-03 eta: 1:56:17 time: 0.2126 data_time: 0.0136 memory: 11037 grad_norm: 10.9830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9954 loss: 1.9954 2022/08/08 15:22:06 - mmengine - INFO - Epoch(train) [14][180/673] lr: 2.0000e-03 eta: 1:56:08 time: 0.2348 data_time: 0.0139 memory: 11037 grad_norm: 11.0582 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2318 loss: 2.2318 2022/08/08 15:22:10 - mmengine - INFO - Epoch(train) [14][200/673] lr: 2.0000e-03 eta: 1:55:59 time: 0.2183 data_time: 0.0126 memory: 11037 grad_norm: 11.5729 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2527 loss: 2.2527 2022/08/08 15:22:14 - mmengine - INFO - Epoch(train) [14][220/673] lr: 2.0000e-03 eta: 1:55:50 time: 0.2171 data_time: 0.0143 memory: 11037 grad_norm: 11.2967 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2503 loss: 2.2503 2022/08/08 15:22:19 - mmengine - INFO - Epoch(train) [14][240/673] lr: 2.0000e-03 eta: 1:55:41 time: 0.2134 data_time: 0.0125 memory: 11037 grad_norm: 11.1274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2733 loss: 2.2733 2022/08/08 15:22:21 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:22:23 - mmengine - INFO - Epoch(train) [14][260/673] lr: 2.0000e-03 eta: 1:55:32 time: 0.2261 data_time: 0.0146 memory: 11037 grad_norm: 11.1712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3577 loss: 2.3577 2022/08/08 15:22:27 - mmengine - INFO - Epoch(train) [14][280/673] lr: 2.0000e-03 eta: 1:55:23 time: 0.2139 data_time: 0.0120 memory: 11037 grad_norm: 11.1630 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2522 loss: 2.2522 2022/08/08 15:22:32 - mmengine - INFO - Epoch(train) [14][300/673] lr: 2.0000e-03 eta: 1:55:15 time: 0.2510 data_time: 0.0126 memory: 11037 grad_norm: 11.0622 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1729 loss: 2.1729 2022/08/08 15:22:37 - mmengine - INFO - Epoch(train) [14][320/673] lr: 2.0000e-03 eta: 1:55:06 time: 0.2135 data_time: 0.0118 memory: 11037 grad_norm: 10.7151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2392 loss: 2.2392 2022/08/08 15:22:41 - mmengine - INFO - Epoch(train) [14][340/673] lr: 2.0000e-03 eta: 1:54:57 time: 0.2153 data_time: 0.0141 memory: 11037 grad_norm: 10.8940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3614 loss: 2.3614 2022/08/08 15:22:46 - mmengine - INFO - Epoch(train) [14][360/673] lr: 2.0000e-03 eta: 1:54:49 time: 0.2271 data_time: 0.0142 memory: 11037 grad_norm: 11.1505 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 2.2505 loss: 2.2505 2022/08/08 15:22:50 - mmengine - INFO - Epoch(train) [14][380/673] lr: 2.0000e-03 eta: 1:54:39 time: 0.2134 data_time: 0.0134 memory: 11037 grad_norm: 10.9514 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2376 loss: 2.2376 2022/08/08 15:22:54 - mmengine - INFO - Epoch(train) [14][400/673] lr: 2.0000e-03 eta: 1:54:30 time: 0.2145 data_time: 0.0139 memory: 11037 grad_norm: 10.8917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1177 loss: 2.1177 2022/08/08 15:22:58 - mmengine - INFO - Epoch(train) [14][420/673] lr: 2.0000e-03 eta: 1:54:21 time: 0.2146 data_time: 0.0128 memory: 11037 grad_norm: 10.6711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0252 loss: 2.0252 2022/08/08 15:23:03 - mmengine - INFO - Epoch(train) [14][440/673] lr: 2.0000e-03 eta: 1:54:12 time: 0.2217 data_time: 0.0116 memory: 11037 grad_norm: 10.9461 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3912 loss: 2.3912 2022/08/08 15:23:07 - mmengine - INFO - Epoch(train) [14][460/673] lr: 2.0000e-03 eta: 1:54:03 time: 0.2149 data_time: 0.0126 memory: 11037 grad_norm: 10.9422 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/08/08 15:23:11 - mmengine - INFO - Epoch(train) [14][480/673] lr: 2.0000e-03 eta: 1:53:54 time: 0.2146 data_time: 0.0131 memory: 11037 grad_norm: 11.0649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3024 loss: 2.3024 2022/08/08 15:23:16 - mmengine - INFO - Epoch(train) [14][500/673] lr: 2.0000e-03 eta: 1:53:45 time: 0.2150 data_time: 0.0110 memory: 11037 grad_norm: 10.9448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2905 loss: 2.2905 2022/08/08 15:23:20 - mmengine - INFO - Epoch(train) [14][520/673] lr: 2.0000e-03 eta: 1:53:36 time: 0.2141 data_time: 0.0133 memory: 11037 grad_norm: 10.6711 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3357 loss: 2.3357 2022/08/08 15:23:25 - mmengine - INFO - Epoch(train) [14][540/673] lr: 2.0000e-03 eta: 1:53:28 time: 0.2397 data_time: 0.0151 memory: 11037 grad_norm: 11.0046 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3393 loss: 2.3393 2022/08/08 15:23:29 - mmengine - INFO - Epoch(train) [14][560/673] lr: 2.0000e-03 eta: 1:53:19 time: 0.2135 data_time: 0.0124 memory: 11037 grad_norm: 11.0807 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2231 loss: 2.2231 2022/08/08 15:23:33 - mmengine - INFO - Epoch(train) [14][580/673] lr: 2.0000e-03 eta: 1:53:10 time: 0.2161 data_time: 0.0152 memory: 11037 grad_norm: 10.8441 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2731 loss: 2.2731 2022/08/08 15:23:38 - mmengine - INFO - Epoch(train) [14][600/673] lr: 2.0000e-03 eta: 1:53:02 time: 0.2142 data_time: 0.0146 memory: 11037 grad_norm: 10.6965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0765 loss: 2.0765 2022/08/08 15:23:42 - mmengine - INFO - Epoch(train) [14][620/673] lr: 2.0000e-03 eta: 1:52:54 time: 0.2329 data_time: 0.0137 memory: 11037 grad_norm: 11.2617 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2097 loss: 2.2097 2022/08/08 15:23:47 - mmengine - INFO - Epoch(train) [14][640/673] lr: 2.0000e-03 eta: 1:52:45 time: 0.2148 data_time: 0.0158 memory: 11037 grad_norm: 11.2381 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/08/08 15:23:51 - mmengine - INFO - Epoch(train) [14][660/673] lr: 2.0000e-03 eta: 1:52:36 time: 0.2135 data_time: 0.0129 memory: 11037 grad_norm: 11.2526 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1151 loss: 2.1151 2022/08/08 15:23:54 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:23:54 - mmengine - INFO - Epoch(train) [14][673/673] lr: 2.0000e-03 eta: 1:52:36 time: 0.2180 data_time: 0.0123 memory: 11037 grad_norm: 12.7838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2392 loss: 2.2392 2022/08/08 15:23:54 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/08/08 15:23:58 - mmengine - INFO - Epoch(val) [14][20/91] eta: 0:00:05 time: 0.0811 data_time: 0.0193 memory: 1858 2022/08/08 15:23:59 - mmengine - INFO - Epoch(val) [14][40/91] eta: 0:00:03 time: 0.0681 data_time: 0.0110 memory: 1858 2022/08/08 15:24:00 - mmengine - INFO - Epoch(val) [14][60/91] eta: 0:00:02 time: 0.0658 data_time: 0.0101 memory: 1858 2022/08/08 15:24:02 - mmengine - INFO - Epoch(val) [14][80/91] eta: 0:00:00 time: 0.0639 data_time: 0.0093 memory: 1858 2022/08/08 15:24:03 - mmengine - INFO - Epoch(val) [14][91/91] acc/top1: 0.2569 acc/top5: 0.5319 acc/mean1: 0.2307 2022/08/08 15:24:03 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:24:08 - mmengine - INFO - Epoch(train) [15][20/673] lr: 2.0000e-03 eta: 1:52:16 time: 0.2497 data_time: 0.0363 memory: 11037 grad_norm: 10.7507 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1628 loss: 2.1628 2022/08/08 15:24:12 - mmengine - INFO - Epoch(train) [15][40/673] lr: 2.0000e-03 eta: 1:52:07 time: 0.2169 data_time: 0.0133 memory: 11037 grad_norm: 10.8398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1243 loss: 2.1243 2022/08/08 15:24:16 - mmengine - INFO - Epoch(train) [15][60/673] lr: 2.0000e-03 eta: 1:51:58 time: 0.2129 data_time: 0.0124 memory: 11037 grad_norm: 11.0555 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.2087 loss: 2.2087 2022/08/08 15:24:21 - mmengine - INFO - Epoch(train) [15][80/673] lr: 2.0000e-03 eta: 1:51:49 time: 0.2142 data_time: 0.0128 memory: 11037 grad_norm: 11.2975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1025 loss: 2.1025 2022/08/08 15:24:25 - mmengine - INFO - Epoch(train) [15][100/673] lr: 2.0000e-03 eta: 1:51:41 time: 0.2226 data_time: 0.0148 memory: 11037 grad_norm: 10.5723 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3123 loss: 2.3123 2022/08/08 15:24:30 - mmengine - INFO - Epoch(train) [15][120/673] lr: 2.0000e-03 eta: 1:51:32 time: 0.2161 data_time: 0.0129 memory: 11037 grad_norm: 11.2016 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0822 loss: 2.0822 2022/08/08 15:24:34 - mmengine - INFO - Epoch(train) [15][140/673] lr: 2.0000e-03 eta: 1:51:24 time: 0.2161 data_time: 0.0142 memory: 11037 grad_norm: 11.3232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1546 loss: 2.1546 2022/08/08 15:24:38 - mmengine - INFO - Epoch(train) [15][160/673] lr: 2.0000e-03 eta: 1:51:15 time: 0.2133 data_time: 0.0124 memory: 11037 grad_norm: 11.5475 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0397 loss: 2.0397 2022/08/08 15:24:43 - mmengine - INFO - Epoch(train) [15][180/673] lr: 2.0000e-03 eta: 1:51:07 time: 0.2226 data_time: 0.0141 memory: 11037 grad_norm: 10.8707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0766 loss: 2.0766 2022/08/08 15:24:47 - mmengine - INFO - Epoch(train) [15][200/673] lr: 2.0000e-03 eta: 1:50:58 time: 0.2140 data_time: 0.0133 memory: 11037 grad_norm: 11.1726 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0001 loss: 2.0001 2022/08/08 15:24:51 - mmengine - INFO - Epoch(train) [15][220/673] lr: 2.0000e-03 eta: 1:50:49 time: 0.2161 data_time: 0.0133 memory: 11037 grad_norm: 10.8741 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2602 loss: 2.2602 2022/08/08 15:24:55 - mmengine - INFO - Epoch(train) [15][240/673] lr: 2.0000e-03 eta: 1:50:41 time: 0.2135 data_time: 0.0107 memory: 11037 grad_norm: 10.8679 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2081 loss: 2.2081 2022/08/08 15:25:00 - mmengine - INFO - Epoch(train) [15][260/673] lr: 2.0000e-03 eta: 1:50:32 time: 0.2208 data_time: 0.0129 memory: 11037 grad_norm: 10.9270 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4727 loss: 2.4727 2022/08/08 15:25:04 - mmengine - INFO - Epoch(train) [15][280/673] lr: 2.0000e-03 eta: 1:50:24 time: 0.2254 data_time: 0.0144 memory: 11037 grad_norm: 11.0676 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4370 loss: 2.4370 2022/08/08 15:25:09 - mmengine - INFO - Epoch(train) [15][300/673] lr: 2.0000e-03 eta: 1:50:16 time: 0.2147 data_time: 0.0110 memory: 11037 grad_norm: 11.1155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/08/08 15:25:13 - mmengine - INFO - Epoch(train) [15][320/673] lr: 2.0000e-03 eta: 1:50:07 time: 0.2152 data_time: 0.0123 memory: 11037 grad_norm: 11.0713 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2557 loss: 2.2557 2022/08/08 15:25:17 - mmengine - INFO - Epoch(train) [15][340/673] lr: 2.0000e-03 eta: 1:49:59 time: 0.2145 data_time: 0.0134 memory: 11037 grad_norm: 10.8671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2025 loss: 2.2025 2022/08/08 15:25:22 - mmengine - INFO - Epoch(train) [15][360/673] lr: 2.0000e-03 eta: 1:49:50 time: 0.2179 data_time: 0.0125 memory: 11037 grad_norm: 10.9671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2217 loss: 2.2217 2022/08/08 15:25:26 - mmengine - INFO - Epoch(train) [15][380/673] lr: 2.0000e-03 eta: 1:49:42 time: 0.2154 data_time: 0.0124 memory: 11037 grad_norm: 11.1208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2900 loss: 2.2900 2022/08/08 15:25:30 - mmengine - INFO - Epoch(train) [15][400/673] lr: 2.0000e-03 eta: 1:49:33 time: 0.2147 data_time: 0.0137 memory: 11037 grad_norm: 11.0226 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3179 loss: 2.3179 2022/08/08 15:25:35 - mmengine - INFO - Epoch(train) [15][420/673] lr: 2.0000e-03 eta: 1:49:25 time: 0.2189 data_time: 0.0141 memory: 11037 grad_norm: 10.9937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2707 loss: 2.2707 2022/08/08 15:25:39 - mmengine - INFO - Epoch(train) [15][440/673] lr: 2.0000e-03 eta: 1:49:16 time: 0.2148 data_time: 0.0139 memory: 11037 grad_norm: 10.7757 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1767 loss: 2.1767 2022/08/08 15:25:43 - mmengine - INFO - Epoch(train) [15][460/673] lr: 2.0000e-03 eta: 1:49:08 time: 0.2169 data_time: 0.0158 memory: 11037 grad_norm: 11.2575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2247 loss: 2.2247 2022/08/08 15:25:47 - mmengine - INFO - Epoch(train) [15][480/673] lr: 2.0000e-03 eta: 1:49:00 time: 0.2121 data_time: 0.0112 memory: 11037 grad_norm: 11.0645 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9199 loss: 1.9199 2022/08/08 15:25:52 - mmengine - INFO - Epoch(train) [15][500/673] lr: 2.0000e-03 eta: 1:48:51 time: 0.2158 data_time: 0.0132 memory: 11037 grad_norm: 10.8989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3848 loss: 2.3848 2022/08/08 15:25:56 - mmengine - INFO - Epoch(train) [15][520/673] lr: 2.0000e-03 eta: 1:48:43 time: 0.2175 data_time: 0.0162 memory: 11037 grad_norm: 10.8190 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0553 loss: 2.0553 2022/08/08 15:26:00 - mmengine - INFO - Epoch(train) [15][540/673] lr: 2.0000e-03 eta: 1:48:35 time: 0.2159 data_time: 0.0128 memory: 11037 grad_norm: 11.2004 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2883 loss: 2.2883 2022/08/08 15:26:05 - mmengine - INFO - Epoch(train) [15][560/673] lr: 2.0000e-03 eta: 1:48:27 time: 0.2232 data_time: 0.0133 memory: 11037 grad_norm: 11.0621 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1524 loss: 2.1524 2022/08/08 15:26:09 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:26:09 - mmengine - INFO - Epoch(train) [15][580/673] lr: 2.0000e-03 eta: 1:48:18 time: 0.2153 data_time: 0.0133 memory: 11037 grad_norm: 10.8706 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1510 loss: 2.1510 2022/08/08 15:26:14 - mmengine - INFO - Epoch(train) [15][600/673] lr: 2.0000e-03 eta: 1:48:10 time: 0.2157 data_time: 0.0128 memory: 11037 grad_norm: 10.9390 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2072 loss: 2.2072 2022/08/08 15:26:18 - mmengine - INFO - Epoch(train) [15][620/673] lr: 2.0000e-03 eta: 1:48:02 time: 0.2141 data_time: 0.0121 memory: 11037 grad_norm: 11.0480 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1754 loss: 2.1754 2022/08/08 15:26:22 - mmengine - INFO - Epoch(train) [15][640/673] lr: 2.0000e-03 eta: 1:47:54 time: 0.2235 data_time: 0.0142 memory: 11037 grad_norm: 10.8247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1608 loss: 2.1608 2022/08/08 15:26:27 - mmengine - INFO - Epoch(train) [15][660/673] lr: 2.0000e-03 eta: 1:47:46 time: 0.2143 data_time: 0.0150 memory: 11037 grad_norm: 10.7213 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1721 loss: 2.1721 2022/08/08 15:26:29 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:26:29 - mmengine - INFO - Epoch(train) [15][673/673] lr: 2.0000e-03 eta: 1:47:46 time: 0.2053 data_time: 0.0136 memory: 11037 grad_norm: 12.6214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1715 loss: 2.1715 2022/08/08 15:26:29 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/08 15:26:33 - mmengine - INFO - Epoch(val) [15][20/91] eta: 0:00:05 time: 0.0760 data_time: 0.0167 memory: 1858 2022/08/08 15:26:35 - mmengine - INFO - Epoch(val) [15][40/91] eta: 0:00:03 time: 0.0700 data_time: 0.0124 memory: 1858 2022/08/08 15:26:36 - mmengine - INFO - Epoch(val) [15][60/91] eta: 0:00:02 time: 0.0659 data_time: 0.0099 memory: 1858 2022/08/08 15:26:37 - mmengine - INFO - Epoch(val) [15][80/91] eta: 0:00:00 time: 0.0625 data_time: 0.0085 memory: 1858 2022/08/08 15:26:38 - mmengine - INFO - Epoch(val) [15][91/91] acc/top1: 0.2802 acc/top5: 0.5537 acc/mean1: 0.2460 2022/08/08 15:26:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_14.pth is removed 2022/08/08 15:26:40 - mmengine - INFO - The best checkpoint with 0.2802 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/08 15:26:40 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:26:44 - mmengine - INFO - Epoch(train) [16][20/673] lr: 2.0000e-03 eta: 1:47:26 time: 0.2300 data_time: 0.0260 memory: 11037 grad_norm: 10.9884 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1809 loss: 2.1809 2022/08/08 15:26:48 - mmengine - INFO - Epoch(train) [16][40/673] lr: 2.0000e-03 eta: 1:47:18 time: 0.2138 data_time: 0.0130 memory: 11037 grad_norm: 10.7670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0996 loss: 2.0996 2022/08/08 15:26:53 - mmengine - INFO - Epoch(train) [16][60/673] lr: 2.0000e-03 eta: 1:47:10 time: 0.2207 data_time: 0.0127 memory: 11037 grad_norm: 11.4679 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1612 loss: 2.1612 2022/08/08 15:26:57 - mmengine - INFO - Epoch(train) [16][80/673] lr: 2.0000e-03 eta: 1:47:02 time: 0.2135 data_time: 0.0146 memory: 11037 grad_norm: 11.2242 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0365 loss: 2.0365 2022/08/08 15:27:01 - mmengine - INFO - Epoch(train) [16][100/673] lr: 2.0000e-03 eta: 1:46:53 time: 0.2135 data_time: 0.0128 memory: 11037 grad_norm: 10.8610 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1653 loss: 2.1653 2022/08/08 15:27:06 - mmengine - INFO - Epoch(train) [16][120/673] lr: 2.0000e-03 eta: 1:46:46 time: 0.2196 data_time: 0.0144 memory: 11037 grad_norm: 11.1090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0161 loss: 2.0161 2022/08/08 15:27:10 - mmengine - INFO - Epoch(train) [16][140/673] lr: 2.0000e-03 eta: 1:46:37 time: 0.2141 data_time: 0.0126 memory: 11037 grad_norm: 11.3730 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1353 loss: 2.1353 2022/08/08 15:27:15 - mmengine - INFO - Epoch(train) [16][160/673] lr: 2.0000e-03 eta: 1:46:30 time: 0.2313 data_time: 0.0140 memory: 11037 grad_norm: 11.1190 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1809 loss: 2.1809 2022/08/08 15:27:19 - mmengine - INFO - Epoch(train) [16][180/673] lr: 2.0000e-03 eta: 1:46:22 time: 0.2130 data_time: 0.0124 memory: 11037 grad_norm: 11.0196 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0600 loss: 2.0600 2022/08/08 15:27:23 - mmengine - INFO - Epoch(train) [16][200/673] lr: 2.0000e-03 eta: 1:46:14 time: 0.2250 data_time: 0.0141 memory: 11037 grad_norm: 11.3515 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1816 loss: 2.1816 2022/08/08 15:27:28 - mmengine - INFO - Epoch(train) [16][220/673] lr: 2.0000e-03 eta: 1:46:06 time: 0.2149 data_time: 0.0137 memory: 11037 grad_norm: 11.0504 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1239 loss: 2.1239 2022/08/08 15:27:32 - mmengine - INFO - Epoch(train) [16][240/673] lr: 2.0000e-03 eta: 1:45:58 time: 0.2130 data_time: 0.0120 memory: 11037 grad_norm: 11.2535 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2145 loss: 2.2145 2022/08/08 15:27:36 - mmengine - INFO - Epoch(train) [16][260/673] lr: 2.0000e-03 eta: 1:45:50 time: 0.2131 data_time: 0.0135 memory: 11037 grad_norm: 11.1451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2192 loss: 2.2192 2022/08/08 15:27:41 - mmengine - INFO - Epoch(train) [16][280/673] lr: 2.0000e-03 eta: 1:45:42 time: 0.2139 data_time: 0.0120 memory: 11037 grad_norm: 10.8471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1057 loss: 2.1057 2022/08/08 15:27:45 - mmengine - INFO - Epoch(train) [16][300/673] lr: 2.0000e-03 eta: 1:45:34 time: 0.2233 data_time: 0.0136 memory: 11037 grad_norm: 11.5655 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2112 loss: 2.2112 2022/08/08 15:27:49 - mmengine - INFO - Epoch(train) [16][320/673] lr: 2.0000e-03 eta: 1:45:26 time: 0.2135 data_time: 0.0120 memory: 11037 grad_norm: 10.8473 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0244 loss: 2.0244 2022/08/08 15:27:54 - mmengine - INFO - Epoch(train) [16][340/673] lr: 2.0000e-03 eta: 1:45:18 time: 0.2130 data_time: 0.0119 memory: 11037 grad_norm: 10.9544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1035 loss: 2.1035 2022/08/08 15:27:58 - mmengine - INFO - Epoch(train) [16][360/673] lr: 2.0000e-03 eta: 1:45:10 time: 0.2139 data_time: 0.0141 memory: 11037 grad_norm: 11.2927 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9327 loss: 1.9327 2022/08/08 15:28:02 - mmengine - INFO - Epoch(train) [16][380/673] lr: 2.0000e-03 eta: 1:45:02 time: 0.2212 data_time: 0.0134 memory: 11037 grad_norm: 11.0177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1342 loss: 2.1342 2022/08/08 15:28:07 - mmengine - INFO - Epoch(train) [16][400/673] lr: 2.0000e-03 eta: 1:44:54 time: 0.2150 data_time: 0.0125 memory: 11037 grad_norm: 10.6203 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0303 loss: 2.0303 2022/08/08 15:28:11 - mmengine - INFO - Epoch(train) [16][420/673] lr: 2.0000e-03 eta: 1:44:46 time: 0.2129 data_time: 0.0126 memory: 11037 grad_norm: 11.1256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2277 loss: 2.2277 2022/08/08 15:28:15 - mmengine - INFO - Epoch(train) [16][440/673] lr: 2.0000e-03 eta: 1:44:38 time: 0.2143 data_time: 0.0142 memory: 11037 grad_norm: 10.9048 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1628 loss: 2.1628 2022/08/08 15:28:19 - mmengine - INFO - Epoch(train) [16][460/673] lr: 2.0000e-03 eta: 1:44:30 time: 0.2129 data_time: 0.0129 memory: 11037 grad_norm: 10.9877 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1799 loss: 2.1799 2022/08/08 15:28:24 - mmengine - INFO - Epoch(train) [16][480/673] lr: 2.0000e-03 eta: 1:44:22 time: 0.2187 data_time: 0.0149 memory: 11037 grad_norm: 11.6153 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1982 loss: 2.1982 2022/08/08 15:28:28 - mmengine - INFO - Epoch(train) [16][500/673] lr: 2.0000e-03 eta: 1:44:15 time: 0.2156 data_time: 0.0128 memory: 11037 grad_norm: 10.6730 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1450 loss: 2.1450 2022/08/08 15:28:32 - mmengine - INFO - Epoch(train) [16][520/673] lr: 2.0000e-03 eta: 1:44:07 time: 0.2137 data_time: 0.0134 memory: 11037 grad_norm: 11.4440 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2576 loss: 2.2576 2022/08/08 15:28:37 - mmengine - INFO - Epoch(train) [16][540/673] lr: 2.0000e-03 eta: 1:43:59 time: 0.2128 data_time: 0.0125 memory: 11037 grad_norm: 11.1399 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1813 loss: 2.1813 2022/08/08 15:28:41 - mmengine - INFO - Epoch(train) [16][560/673] lr: 2.0000e-03 eta: 1:43:51 time: 0.2138 data_time: 0.0119 memory: 11037 grad_norm: 10.9807 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1227 loss: 2.1227 2022/08/08 15:28:45 - mmengine - INFO - Epoch(train) [16][580/673] lr: 2.0000e-03 eta: 1:43:44 time: 0.2311 data_time: 0.0149 memory: 11037 grad_norm: 10.6022 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2299 loss: 2.2299 2022/08/08 15:28:50 - mmengine - INFO - Epoch(train) [16][600/673] lr: 2.0000e-03 eta: 1:43:36 time: 0.2134 data_time: 0.0117 memory: 11037 grad_norm: 10.7674 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0726 loss: 2.0726 2022/08/08 15:28:54 - mmengine - INFO - Epoch(train) [16][620/673] lr: 2.0000e-03 eta: 1:43:28 time: 0.2146 data_time: 0.0130 memory: 11037 grad_norm: 10.9375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/08/08 15:28:58 - mmengine - INFO - Epoch(train) [16][640/673] lr: 2.0000e-03 eta: 1:43:20 time: 0.2140 data_time: 0.0119 memory: 11037 grad_norm: 11.0868 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1897 loss: 2.1897 2022/08/08 15:29:03 - mmengine - INFO - Epoch(train) [16][660/673] lr: 2.0000e-03 eta: 1:43:14 time: 0.2538 data_time: 0.0180 memory: 11037 grad_norm: 10.6657 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0920 loss: 2.0920 2022/08/08 15:29:06 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:29:06 - mmengine - INFO - Epoch(train) [16][673/673] lr: 2.0000e-03 eta: 1:43:14 time: 0.2526 data_time: 0.0153 memory: 11037 grad_norm: 13.2138 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.3840 loss: 2.3840 2022/08/08 15:29:06 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/08 15:29:10 - mmengine - INFO - Epoch(val) [16][20/91] eta: 0:00:05 time: 0.0784 data_time: 0.0188 memory: 1858 2022/08/08 15:29:12 - mmengine - INFO - Epoch(val) [16][40/91] eta: 0:00:03 time: 0.0678 data_time: 0.0112 memory: 1858 2022/08/08 15:29:13 - mmengine - INFO - Epoch(val) [16][60/91] eta: 0:00:02 time: 0.0659 data_time: 0.0099 memory: 1858 2022/08/08 15:29:14 - mmengine - INFO - Epoch(val) [16][80/91] eta: 0:00:00 time: 0.0633 data_time: 0.0087 memory: 1858 2022/08/08 15:29:15 - mmengine - INFO - Epoch(val) [16][91/91] acc/top1: 0.2676 acc/top5: 0.5543 acc/mean1: 0.2361 2022/08/08 15:29:15 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:29:20 - mmengine - INFO - Epoch(train) [17][20/673] lr: 2.0000e-03 eta: 1:42:57 time: 0.2537 data_time: 0.0415 memory: 11037 grad_norm: 10.6127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2062 loss: 2.2062 2022/08/08 15:29:25 - mmengine - INFO - Epoch(train) [17][40/673] lr: 2.0000e-03 eta: 1:42:49 time: 0.2185 data_time: 0.0174 memory: 11037 grad_norm: 11.4801 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9535 loss: 1.9535 2022/08/08 15:29:29 - mmengine - INFO - Epoch(train) [17][60/673] lr: 2.0000e-03 eta: 1:42:42 time: 0.2238 data_time: 0.0133 memory: 11037 grad_norm: 10.9517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1148 loss: 2.1148 2022/08/08 15:29:34 - mmengine - INFO - Epoch(train) [17][80/673] lr: 2.0000e-03 eta: 1:42:34 time: 0.2139 data_time: 0.0131 memory: 11037 grad_norm: 11.0186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0017 loss: 2.0017 2022/08/08 15:29:38 - mmengine - INFO - Epoch(train) [17][100/673] lr: 2.0000e-03 eta: 1:42:27 time: 0.2151 data_time: 0.0136 memory: 11037 grad_norm: 11.6647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1547 loss: 2.1547 2022/08/08 15:29:42 - mmengine - INFO - Epoch(train) [17][120/673] lr: 2.0000e-03 eta: 1:42:19 time: 0.2211 data_time: 0.0132 memory: 11037 grad_norm: 10.8759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1408 loss: 2.1408 2022/08/08 15:29:47 - mmengine - INFO - Epoch(train) [17][140/673] lr: 2.0000e-03 eta: 1:42:12 time: 0.2345 data_time: 0.0147 memory: 11037 grad_norm: 11.2537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0814 loss: 2.0814 2022/08/08 15:29:51 - mmengine - INFO - Epoch(train) [17][160/673] lr: 2.0000e-03 eta: 1:42:05 time: 0.2157 data_time: 0.0133 memory: 11037 grad_norm: 11.2814 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8782 loss: 1.8782 2022/08/08 15:29:56 - mmengine - INFO - Epoch(train) [17][180/673] lr: 2.0000e-03 eta: 1:41:57 time: 0.2162 data_time: 0.0123 memory: 11037 grad_norm: 11.1858 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9012 loss: 1.9012 2022/08/08 15:30:00 - mmengine - INFO - Epoch(train) [17][200/673] lr: 2.0000e-03 eta: 1:41:49 time: 0.2153 data_time: 0.0128 memory: 11037 grad_norm: 11.1980 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0372 loss: 2.0372 2022/08/08 15:30:04 - mmengine - INFO - Epoch(train) [17][220/673] lr: 2.0000e-03 eta: 1:41:42 time: 0.2222 data_time: 0.0126 memory: 11037 grad_norm: 10.8667 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3083 loss: 2.3083 2022/08/08 15:30:07 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:30:09 - mmengine - INFO - Epoch(train) [17][240/673] lr: 2.0000e-03 eta: 1:41:34 time: 0.2145 data_time: 0.0123 memory: 11037 grad_norm: 11.5026 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2940 loss: 2.2940 2022/08/08 15:30:13 - mmengine - INFO - Epoch(train) [17][260/673] lr: 2.0000e-03 eta: 1:41:27 time: 0.2175 data_time: 0.0127 memory: 11037 grad_norm: 11.1585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1526 loss: 2.1526 2022/08/08 15:30:17 - mmengine - INFO - Epoch(train) [17][280/673] lr: 2.0000e-03 eta: 1:41:20 time: 0.2222 data_time: 0.0140 memory: 11037 grad_norm: 11.1248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0264 loss: 2.0264 2022/08/08 15:30:22 - mmengine - INFO - Epoch(train) [17][300/673] lr: 2.0000e-03 eta: 1:41:12 time: 0.2147 data_time: 0.0123 memory: 11037 grad_norm: 11.0224 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0863 loss: 2.0863 2022/08/08 15:30:26 - mmengine - INFO - Epoch(train) [17][320/673] lr: 2.0000e-03 eta: 1:41:04 time: 0.2155 data_time: 0.0140 memory: 11037 grad_norm: 10.8247 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1272 loss: 2.1272 2022/08/08 15:30:30 - mmengine - INFO - Epoch(train) [17][340/673] lr: 2.0000e-03 eta: 1:40:57 time: 0.2170 data_time: 0.0147 memory: 11037 grad_norm: 11.2018 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0443 loss: 2.0443 2022/08/08 15:30:35 - mmengine - INFO - Epoch(train) [17][360/673] lr: 2.0000e-03 eta: 1:40:50 time: 0.2200 data_time: 0.0124 memory: 11037 grad_norm: 10.8642 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1137 loss: 2.1137 2022/08/08 15:30:39 - mmengine - INFO - Epoch(train) [17][380/673] lr: 2.0000e-03 eta: 1:40:42 time: 0.2140 data_time: 0.0123 memory: 11037 grad_norm: 10.9918 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0496 loss: 2.0496 2022/08/08 15:30:43 - mmengine - INFO - Epoch(train) [17][400/673] lr: 2.0000e-03 eta: 1:40:35 time: 0.2183 data_time: 0.0141 memory: 11037 grad_norm: 11.2918 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0754 loss: 2.0754 2022/08/08 15:30:48 - mmengine - INFO - Epoch(train) [17][420/673] lr: 2.0000e-03 eta: 1:40:27 time: 0.2160 data_time: 0.0123 memory: 11037 grad_norm: 11.0043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3542 loss: 2.3542 2022/08/08 15:30:52 - mmengine - INFO - Epoch(train) [17][440/673] lr: 2.0000e-03 eta: 1:40:20 time: 0.2151 data_time: 0.0120 memory: 11037 grad_norm: 10.7909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0746 loss: 2.0746 2022/08/08 15:30:57 - mmengine - INFO - Epoch(train) [17][460/673] lr: 2.0000e-03 eta: 1:40:13 time: 0.2277 data_time: 0.0151 memory: 11037 grad_norm: 10.7651 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1063 loss: 2.1063 2022/08/08 15:31:01 - mmengine - INFO - Epoch(train) [17][480/673] lr: 2.0000e-03 eta: 1:40:05 time: 0.2163 data_time: 0.0120 memory: 11037 grad_norm: 11.1059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1299 loss: 2.1299 2022/08/08 15:31:05 - mmengine - INFO - Epoch(train) [17][500/673] lr: 2.0000e-03 eta: 1:39:58 time: 0.2164 data_time: 0.0133 memory: 11037 grad_norm: 11.0741 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0710 loss: 2.0710 2022/08/08 15:31:10 - mmengine - INFO - Epoch(train) [17][520/673] lr: 2.0000e-03 eta: 1:39:51 time: 0.2277 data_time: 0.0154 memory: 11037 grad_norm: 11.1302 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/08/08 15:31:14 - mmengine - INFO - Epoch(train) [17][540/673] lr: 2.0000e-03 eta: 1:39:43 time: 0.2164 data_time: 0.0132 memory: 11037 grad_norm: 11.1444 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2055 loss: 2.2055 2022/08/08 15:31:18 - mmengine - INFO - Epoch(train) [17][560/673] lr: 2.0000e-03 eta: 1:39:36 time: 0.2142 data_time: 0.0138 memory: 11037 grad_norm: 10.7711 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3524 loss: 2.3524 2022/08/08 15:31:23 - mmengine - INFO - Epoch(train) [17][580/673] lr: 2.0000e-03 eta: 1:39:29 time: 0.2239 data_time: 0.0150 memory: 11037 grad_norm: 10.8514 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1188 loss: 2.1188 2022/08/08 15:31:27 - mmengine - INFO - Epoch(train) [17][600/673] lr: 2.0000e-03 eta: 1:39:22 time: 0.2157 data_time: 0.0111 memory: 11037 grad_norm: 11.2902 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9981 loss: 1.9981 2022/08/08 15:31:32 - mmengine - INFO - Epoch(train) [17][620/673] lr: 2.0000e-03 eta: 1:39:14 time: 0.2146 data_time: 0.0126 memory: 11037 grad_norm: 10.7921 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1798 loss: 2.1798 2022/08/08 15:31:36 - mmengine - INFO - Epoch(train) [17][640/673] lr: 2.0000e-03 eta: 1:39:07 time: 0.2136 data_time: 0.0135 memory: 11037 grad_norm: 11.3260 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/08/08 15:31:40 - mmengine - INFO - Epoch(train) [17][660/673] lr: 2.0000e-03 eta: 1:38:59 time: 0.2142 data_time: 0.0115 memory: 11037 grad_norm: 11.4700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1529 loss: 2.1529 2022/08/08 15:31:43 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:31:43 - mmengine - INFO - Epoch(train) [17][673/673] lr: 2.0000e-03 eta: 1:38:59 time: 0.2224 data_time: 0.0147 memory: 11037 grad_norm: 14.0630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0170 loss: 2.0170 2022/08/08 15:31:43 - mmengine - INFO - Saving checkpoint at 17 epochs 2022/08/08 15:31:47 - mmengine - INFO - Epoch(val) [17][20/91] eta: 0:00:05 time: 0.0769 data_time: 0.0174 memory: 1858 2022/08/08 15:31:48 - mmengine - INFO - Epoch(val) [17][40/91] eta: 0:00:03 time: 0.0688 data_time: 0.0109 memory: 1858 2022/08/08 15:31:49 - mmengine - INFO - Epoch(val) [17][60/91] eta: 0:00:02 time: 0.0680 data_time: 0.0116 memory: 1858 2022/08/08 15:31:51 - mmengine - INFO - Epoch(val) [17][80/91] eta: 0:00:00 time: 0.0638 data_time: 0.0094 memory: 1858 2022/08/08 15:31:52 - mmengine - INFO - Epoch(val) [17][91/91] acc/top1: 0.2723 acc/top5: 0.5501 acc/mean1: 0.2399 2022/08/08 15:31:52 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:31:57 - mmengine - INFO - Epoch(train) [18][20/673] lr: 2.0000e-03 eta: 1:38:43 time: 0.2399 data_time: 0.0380 memory: 11037 grad_norm: 10.7707 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8225 loss: 1.8225 2022/08/08 15:32:01 - mmengine - INFO - Epoch(train) [18][40/673] lr: 2.0000e-03 eta: 1:38:35 time: 0.2161 data_time: 0.0129 memory: 11037 grad_norm: 10.8459 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1675 loss: 2.1675 2022/08/08 15:32:05 - mmengine - INFO - Epoch(train) [18][60/673] lr: 2.0000e-03 eta: 1:38:28 time: 0.2214 data_time: 0.0120 memory: 11037 grad_norm: 11.0418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7908 loss: 1.7908 2022/08/08 15:32:10 - mmengine - INFO - Epoch(train) [18][80/673] lr: 2.0000e-03 eta: 1:38:21 time: 0.2169 data_time: 0.0130 memory: 11037 grad_norm: 11.2276 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8372 loss: 1.8372 2022/08/08 15:32:14 - mmengine - INFO - Epoch(train) [18][100/673] lr: 2.0000e-03 eta: 1:38:14 time: 0.2214 data_time: 0.0145 memory: 11037 grad_norm: 11.1793 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0498 loss: 2.0498 2022/08/08 15:32:18 - mmengine - INFO - Epoch(train) [18][120/673] lr: 2.0000e-03 eta: 1:38:07 time: 0.2184 data_time: 0.0123 memory: 11037 grad_norm: 11.4751 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1704 loss: 2.1704 2022/08/08 15:32:23 - mmengine - INFO - Epoch(train) [18][140/673] lr: 2.0000e-03 eta: 1:38:00 time: 0.2163 data_time: 0.0142 memory: 11037 grad_norm: 11.0467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9478 loss: 1.9478 2022/08/08 15:32:27 - mmengine - INFO - Epoch(train) [18][160/673] lr: 2.0000e-03 eta: 1:37:52 time: 0.2162 data_time: 0.0132 memory: 11037 grad_norm: 11.3136 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0119 loss: 2.0119 2022/08/08 15:32:31 - mmengine - INFO - Epoch(train) [18][180/673] lr: 2.0000e-03 eta: 1:37:45 time: 0.2145 data_time: 0.0117 memory: 11037 grad_norm: 11.3647 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9734 loss: 1.9734 2022/08/08 15:32:36 - mmengine - INFO - Epoch(train) [18][200/673] lr: 2.0000e-03 eta: 1:37:38 time: 0.2258 data_time: 0.0134 memory: 11037 grad_norm: 11.4061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9843 loss: 1.9843 2022/08/08 15:32:40 - mmengine - INFO - Epoch(train) [18][220/673] lr: 2.0000e-03 eta: 1:37:31 time: 0.2173 data_time: 0.0172 memory: 11037 grad_norm: 10.8182 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9791 loss: 1.9791 2022/08/08 15:32:45 - mmengine - INFO - Epoch(train) [18][240/673] lr: 2.0000e-03 eta: 1:37:24 time: 0.2166 data_time: 0.0113 memory: 11037 grad_norm: 11.3477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1564 loss: 2.1564 2022/08/08 15:32:49 - mmengine - INFO - Epoch(train) [18][260/673] lr: 2.0000e-03 eta: 1:37:17 time: 0.2146 data_time: 0.0141 memory: 11037 grad_norm: 11.4050 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0781 loss: 2.0781 2022/08/08 15:32:54 - mmengine - INFO - Epoch(train) [18][280/673] lr: 2.0000e-03 eta: 1:37:10 time: 0.2419 data_time: 0.0138 memory: 11037 grad_norm: 11.3318 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8611 loss: 1.8611 2022/08/08 15:32:58 - mmengine - INFO - Epoch(train) [18][300/673] lr: 2.0000e-03 eta: 1:37:03 time: 0.2166 data_time: 0.0120 memory: 11037 grad_norm: 11.2430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0381 loss: 2.0381 2022/08/08 15:33:02 - mmengine - INFO - Epoch(train) [18][320/673] lr: 2.0000e-03 eta: 1:36:56 time: 0.2162 data_time: 0.0137 memory: 11037 grad_norm: 10.8280 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1034 loss: 2.1034 2022/08/08 15:33:07 - mmengine - INFO - Epoch(train) [18][340/673] lr: 2.0000e-03 eta: 1:36:49 time: 0.2155 data_time: 0.0138 memory: 11037 grad_norm: 11.4467 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9203 loss: 1.9203 2022/08/08 15:33:11 - mmengine - INFO - Epoch(train) [18][360/673] lr: 2.0000e-03 eta: 1:36:42 time: 0.2157 data_time: 0.0128 memory: 11037 grad_norm: 10.8486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1534 loss: 2.1534 2022/08/08 15:33:16 - mmengine - INFO - Epoch(train) [18][380/673] lr: 2.0000e-03 eta: 1:36:35 time: 0.2254 data_time: 0.0141 memory: 11037 grad_norm: 11.2708 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0777 loss: 2.0777 2022/08/08 15:33:20 - mmengine - INFO - Epoch(train) [18][400/673] lr: 2.0000e-03 eta: 1:36:28 time: 0.2155 data_time: 0.0128 memory: 11037 grad_norm: 11.0853 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1596 loss: 2.1596 2022/08/08 15:33:24 - mmengine - INFO - Epoch(train) [18][420/673] lr: 2.0000e-03 eta: 1:36:21 time: 0.2159 data_time: 0.0125 memory: 11037 grad_norm: 11.1072 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.1403 loss: 2.1403 2022/08/08 15:33:28 - mmengine - INFO - Epoch(train) [18][440/673] lr: 2.0000e-03 eta: 1:36:13 time: 0.2165 data_time: 0.0141 memory: 11037 grad_norm: 10.9377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2907 loss: 2.2907 2022/08/08 15:33:33 - mmengine - INFO - Epoch(train) [18][460/673] lr: 2.0000e-03 eta: 1:36:07 time: 0.2242 data_time: 0.0137 memory: 11037 grad_norm: 11.3014 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0139 loss: 2.0139 2022/08/08 15:33:37 - mmengine - INFO - Epoch(train) [18][480/673] lr: 2.0000e-03 eta: 1:35:59 time: 0.2139 data_time: 0.0121 memory: 11037 grad_norm: 10.9933 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0429 loss: 2.0429 2022/08/08 15:33:42 - mmengine - INFO - Epoch(train) [18][500/673] lr: 2.0000e-03 eta: 1:35:52 time: 0.2156 data_time: 0.0127 memory: 11037 grad_norm: 10.8611 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1562 loss: 2.1562 2022/08/08 15:33:46 - mmengine - INFO - Epoch(train) [18][520/673] lr: 2.0000e-03 eta: 1:35:45 time: 0.2165 data_time: 0.0132 memory: 11037 grad_norm: 11.2215 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2054 loss: 2.2054 2022/08/08 15:33:50 - mmengine - INFO - Epoch(train) [18][540/673] lr: 2.0000e-03 eta: 1:35:38 time: 0.2149 data_time: 0.0116 memory: 11037 grad_norm: 11.3465 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0753 loss: 2.0753 2022/08/08 15:33:55 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:33:55 - mmengine - INFO - Epoch(train) [18][560/673] lr: 2.0000e-03 eta: 1:35:32 time: 0.2271 data_time: 0.0145 memory: 11037 grad_norm: 11.1132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0189 loss: 2.0189 2022/08/08 15:33:59 - mmengine - INFO - Epoch(train) [18][580/673] lr: 2.0000e-03 eta: 1:35:25 time: 0.2167 data_time: 0.0147 memory: 11037 grad_norm: 10.7994 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1117 loss: 2.1117 2022/08/08 15:34:03 - mmengine - INFO - Epoch(train) [18][600/673] lr: 2.0000e-03 eta: 1:35:17 time: 0.2143 data_time: 0.0132 memory: 11037 grad_norm: 11.0195 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1846 loss: 2.1846 2022/08/08 15:34:08 - mmengine - INFO - Epoch(train) [18][620/673] lr: 2.0000e-03 eta: 1:35:10 time: 0.2159 data_time: 0.0121 memory: 11037 grad_norm: 10.8128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0701 loss: 2.0701 2022/08/08 15:34:12 - mmengine - INFO - Epoch(train) [18][640/673] lr: 2.0000e-03 eta: 1:35:03 time: 0.2160 data_time: 0.0142 memory: 11037 grad_norm: 11.5024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0254 loss: 2.0254 2022/08/08 15:34:17 - mmengine - INFO - Epoch(train) [18][660/673] lr: 2.0000e-03 eta: 1:34:57 time: 0.2331 data_time: 0.0139 memory: 11037 grad_norm: 11.0656 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9960 loss: 1.9960 2022/08/08 15:34:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:34:19 - mmengine - INFO - Epoch(train) [18][673/673] lr: 2.0000e-03 eta: 1:34:57 time: 0.2109 data_time: 0.0135 memory: 11037 grad_norm: 12.8065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9093 loss: 1.9093 2022/08/08 15:34:19 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/08 15:34:23 - mmengine - INFO - Epoch(val) [18][20/91] eta: 0:00:05 time: 0.0818 data_time: 0.0184 memory: 1858 2022/08/08 15:34:24 - mmengine - INFO - Epoch(val) [18][40/91] eta: 0:00:03 time: 0.0698 data_time: 0.0120 memory: 1858 2022/08/08 15:34:26 - mmengine - INFO - Epoch(val) [18][60/91] eta: 0:00:02 time: 0.0666 data_time: 0.0101 memory: 1858 2022/08/08 15:34:27 - mmengine - INFO - Epoch(val) [18][80/91] eta: 0:00:00 time: 0.0641 data_time: 0.0092 memory: 1858 2022/08/08 15:34:28 - mmengine - INFO - Epoch(val) [18][91/91] acc/top1: 0.2711 acc/top5: 0.5586 acc/mean1: 0.2469 2022/08/08 15:34:28 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:34:33 - mmengine - INFO - Epoch(train) [19][20/673] lr: 2.0000e-03 eta: 1:34:41 time: 0.2346 data_time: 0.0231 memory: 11037 grad_norm: 11.2608 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9006 loss: 1.9006 2022/08/08 15:34:37 - mmengine - INFO - Epoch(train) [19][40/673] lr: 2.0000e-03 eta: 1:34:34 time: 0.2149 data_time: 0.0134 memory: 11037 grad_norm: 11.2177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1773 loss: 2.1773 2022/08/08 15:34:42 - mmengine - INFO - Epoch(train) [19][60/673] lr: 2.0000e-03 eta: 1:34:27 time: 0.2246 data_time: 0.0108 memory: 11037 grad_norm: 11.3014 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0574 loss: 2.0574 2022/08/08 15:34:46 - mmengine - INFO - Epoch(train) [19][80/673] lr: 2.0000e-03 eta: 1:34:21 time: 0.2199 data_time: 0.0126 memory: 11037 grad_norm: 10.8366 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8805 loss: 1.8805 2022/08/08 15:34:50 - mmengine - INFO - Epoch(train) [19][100/673] lr: 2.0000e-03 eta: 1:34:14 time: 0.2163 data_time: 0.0128 memory: 11037 grad_norm: 10.8965 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0521 loss: 2.0521 2022/08/08 15:34:55 - mmengine - INFO - Epoch(train) [19][120/673] lr: 2.0000e-03 eta: 1:34:07 time: 0.2210 data_time: 0.0148 memory: 11037 grad_norm: 11.1080 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1655 loss: 2.1655 2022/08/08 15:34:59 - mmengine - INFO - Epoch(train) [19][140/673] lr: 2.0000e-03 eta: 1:34:00 time: 0.2174 data_time: 0.0135 memory: 11037 grad_norm: 11.4188 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0302 loss: 2.0302 2022/08/08 15:35:03 - mmengine - INFO - Epoch(train) [19][160/673] lr: 2.0000e-03 eta: 1:33:53 time: 0.2159 data_time: 0.0126 memory: 11037 grad_norm: 11.2226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8772 loss: 1.8772 2022/08/08 15:35:08 - mmengine - INFO - Epoch(train) [19][180/673] lr: 2.0000e-03 eta: 1:33:46 time: 0.2151 data_time: 0.0132 memory: 11037 grad_norm: 11.2542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8535 loss: 1.8535 2022/08/08 15:35:12 - mmengine - INFO - Epoch(train) [19][200/673] lr: 2.0000e-03 eta: 1:33:39 time: 0.2168 data_time: 0.0126 memory: 11037 grad_norm: 11.3212 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1640 loss: 2.1640 2022/08/08 15:35:17 - mmengine - INFO - Epoch(train) [19][220/673] lr: 2.0000e-03 eta: 1:33:33 time: 0.2303 data_time: 0.0133 memory: 11037 grad_norm: 11.4215 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9081 loss: 1.9081 2022/08/08 15:35:21 - mmengine - INFO - Epoch(train) [19][240/673] lr: 2.0000e-03 eta: 1:33:26 time: 0.2161 data_time: 0.0124 memory: 11037 grad_norm: 11.2869 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1162 loss: 2.1162 2022/08/08 15:35:25 - mmengine - INFO - Epoch(train) [19][260/673] lr: 2.0000e-03 eta: 1:33:19 time: 0.2167 data_time: 0.0128 memory: 11037 grad_norm: 11.2084 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8379 loss: 1.8379 2022/08/08 15:35:30 - mmengine - INFO - Epoch(train) [19][280/673] lr: 2.0000e-03 eta: 1:33:12 time: 0.2226 data_time: 0.0147 memory: 11037 grad_norm: 11.3433 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0554 loss: 2.0554 2022/08/08 15:35:34 - mmengine - INFO - Epoch(train) [19][300/673] lr: 2.0000e-03 eta: 1:33:06 time: 0.2162 data_time: 0.0116 memory: 11037 grad_norm: 10.9075 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8911 loss: 1.8911 2022/08/08 15:35:38 - mmengine - INFO - Epoch(train) [19][320/673] lr: 2.0000e-03 eta: 1:32:59 time: 0.2159 data_time: 0.0133 memory: 11037 grad_norm: 11.0387 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9205 loss: 1.9205 2022/08/08 15:35:43 - mmengine - INFO - Epoch(train) [19][340/673] lr: 2.0000e-03 eta: 1:32:52 time: 0.2205 data_time: 0.0133 memory: 11037 grad_norm: 10.9748 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0675 loss: 2.0675 2022/08/08 15:35:47 - mmengine - INFO - Epoch(train) [19][360/673] lr: 2.0000e-03 eta: 1:32:45 time: 0.2270 data_time: 0.0116 memory: 11037 grad_norm: 11.1961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0513 loss: 2.0513 2022/08/08 15:35:52 - mmengine - INFO - Epoch(train) [19][380/673] lr: 2.0000e-03 eta: 1:32:39 time: 0.2144 data_time: 0.0126 memory: 11037 grad_norm: 10.9952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/08/08 15:35:56 - mmengine - INFO - Epoch(train) [19][400/673] lr: 2.0000e-03 eta: 1:32:32 time: 0.2158 data_time: 0.0125 memory: 11037 grad_norm: 11.0389 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8834 loss: 1.8834 2022/08/08 15:36:00 - mmengine - INFO - Epoch(train) [19][420/673] lr: 2.0000e-03 eta: 1:32:25 time: 0.2170 data_time: 0.0126 memory: 11037 grad_norm: 10.9541 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/08/08 15:36:05 - mmengine - INFO - Epoch(train) [19][440/673] lr: 2.0000e-03 eta: 1:32:18 time: 0.2207 data_time: 0.0150 memory: 11037 grad_norm: 11.3170 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0759 loss: 2.0759 2022/08/08 15:36:09 - mmengine - INFO - Epoch(train) [19][460/673] lr: 2.0000e-03 eta: 1:32:11 time: 0.2167 data_time: 0.0137 memory: 11037 grad_norm: 11.0226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/08/08 15:36:13 - mmengine - INFO - Epoch(train) [19][480/673] lr: 2.0000e-03 eta: 1:32:05 time: 0.2178 data_time: 0.0124 memory: 11037 grad_norm: 11.0371 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0577 loss: 2.0577 2022/08/08 15:36:18 - mmengine - INFO - Epoch(train) [19][500/673] lr: 2.0000e-03 eta: 1:31:58 time: 0.2150 data_time: 0.0132 memory: 11037 grad_norm: 11.4404 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9951 loss: 1.9951 2022/08/08 15:36:22 - mmengine - INFO - Epoch(train) [19][520/673] lr: 2.0000e-03 eta: 1:31:51 time: 0.2159 data_time: 0.0136 memory: 11037 grad_norm: 10.9772 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0259 loss: 2.0259 2022/08/08 15:36:26 - mmengine - INFO - Epoch(train) [19][540/673] lr: 2.0000e-03 eta: 1:31:44 time: 0.2156 data_time: 0.0118 memory: 11037 grad_norm: 11.1553 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/08/08 15:36:31 - mmengine - INFO - Epoch(train) [19][560/673] lr: 2.0000e-03 eta: 1:31:38 time: 0.2195 data_time: 0.0154 memory: 11037 grad_norm: 11.1952 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9952 loss: 1.9952 2022/08/08 15:36:35 - mmengine - INFO - Epoch(train) [19][580/673] lr: 2.0000e-03 eta: 1:31:31 time: 0.2186 data_time: 0.0129 memory: 11037 grad_norm: 10.8373 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1473 loss: 2.1473 2022/08/08 15:36:43 - mmengine - INFO - Epoch(train) [19][600/673] lr: 2.0000e-03 eta: 1:31:30 time: 0.3909 data_time: 0.1862 memory: 11037 grad_norm: 11.0685 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8773 loss: 1.8773 2022/08/08 15:36:47 - mmengine - INFO - Epoch(train) [19][620/673] lr: 2.0000e-03 eta: 1:31:23 time: 0.2170 data_time: 0.0133 memory: 11037 grad_norm: 11.1012 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8773 loss: 1.8773 2022/08/08 15:36:52 - mmengine - INFO - Epoch(train) [19][640/673] lr: 2.0000e-03 eta: 1:31:16 time: 0.2146 data_time: 0.0112 memory: 11037 grad_norm: 11.0439 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9683 loss: 1.9683 2022/08/08 15:36:56 - mmengine - INFO - Epoch(train) [19][660/673] lr: 2.0000e-03 eta: 1:31:10 time: 0.2354 data_time: 0.0134 memory: 11037 grad_norm: 10.9533 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0101 loss: 2.0101 2022/08/08 15:36:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:36:59 - mmengine - INFO - Epoch(train) [19][673/673] lr: 2.0000e-03 eta: 1:31:10 time: 0.2106 data_time: 0.0125 memory: 11037 grad_norm: 12.3779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1459 loss: 2.1459 2022/08/08 15:36:59 - mmengine - INFO - Saving checkpoint at 19 epochs 2022/08/08 15:37:03 - mmengine - INFO - Epoch(val) [19][20/91] eta: 0:00:05 time: 0.0769 data_time: 0.0176 memory: 1858 2022/08/08 15:37:04 - mmengine - INFO - Epoch(val) [19][40/91] eta: 0:00:03 time: 0.0697 data_time: 0.0119 memory: 1858 2022/08/08 15:37:06 - mmengine - INFO - Epoch(val) [19][60/91] eta: 0:00:02 time: 0.0676 data_time: 0.0104 memory: 1858 2022/08/08 15:37:07 - mmengine - INFO - Epoch(val) [19][80/91] eta: 0:00:00 time: 0.0629 data_time: 0.0089 memory: 1858 2022/08/08 15:37:08 - mmengine - INFO - Epoch(val) [19][91/91] acc/top1: 0.2760 acc/top5: 0.5489 acc/mean1: 0.2470 2022/08/08 15:37:08 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:37:13 - mmengine - INFO - Epoch(train) [20][20/673] lr: 2.0000e-03 eta: 1:30:55 time: 0.2301 data_time: 0.0223 memory: 11037 grad_norm: 11.4224 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9632 loss: 1.9632 2022/08/08 15:37:17 - mmengine - INFO - Epoch(train) [20][40/673] lr: 2.0000e-03 eta: 1:30:48 time: 0.2174 data_time: 0.0125 memory: 11037 grad_norm: 10.9036 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0396 loss: 2.0396 2022/08/08 15:37:21 - mmengine - INFO - Epoch(train) [20][60/673] lr: 2.0000e-03 eta: 1:30:42 time: 0.2177 data_time: 0.0135 memory: 11037 grad_norm: 11.0810 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9827 loss: 1.9827 2022/08/08 15:37:26 - mmengine - INFO - Epoch(train) [20][80/673] lr: 2.0000e-03 eta: 1:30:35 time: 0.2239 data_time: 0.0136 memory: 11037 grad_norm: 11.0007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9207 loss: 1.9207 2022/08/08 15:37:30 - mmengine - INFO - Epoch(train) [20][100/673] lr: 2.0000e-03 eta: 1:30:29 time: 0.2174 data_time: 0.0145 memory: 11037 grad_norm: 11.1970 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7400 loss: 1.7400 2022/08/08 15:37:34 - mmengine - INFO - Epoch(train) [20][120/673] lr: 2.0000e-03 eta: 1:30:22 time: 0.2154 data_time: 0.0111 memory: 11037 grad_norm: 11.1695 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9765 loss: 1.9765 2022/08/08 15:37:39 - mmengine - INFO - Epoch(train) [20][140/673] lr: 2.0000e-03 eta: 1:30:15 time: 0.2154 data_time: 0.0133 memory: 11037 grad_norm: 11.3539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1238 loss: 2.1238 2022/08/08 15:37:43 - mmengine - INFO - Epoch(train) [20][160/673] lr: 2.0000e-03 eta: 1:30:09 time: 0.2204 data_time: 0.0131 memory: 11037 grad_norm: 11.0924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9470 loss: 1.9470 2022/08/08 15:37:47 - mmengine - INFO - Epoch(train) [20][180/673] lr: 2.0000e-03 eta: 1:30:02 time: 0.2174 data_time: 0.0119 memory: 11037 grad_norm: 11.3399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0221 loss: 2.0221 2022/08/08 15:37:52 - mmengine - INFO - Epoch(train) [20][200/673] lr: 2.0000e-03 eta: 1:29:55 time: 0.2164 data_time: 0.0133 memory: 11037 grad_norm: 11.2814 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8562 loss: 1.8562 2022/08/08 15:37:55 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:37:56 - mmengine - INFO - Epoch(train) [20][220/673] lr: 2.0000e-03 eta: 1:29:49 time: 0.2179 data_time: 0.0129 memory: 11037 grad_norm: 10.9883 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8791 loss: 1.8791 2022/08/08 15:38:00 - mmengine - INFO - Epoch(train) [20][240/673] lr: 2.0000e-03 eta: 1:29:42 time: 0.2159 data_time: 0.0133 memory: 11037 grad_norm: 11.2332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0681 loss: 2.0681 2022/08/08 15:38:05 - mmengine - INFO - Epoch(train) [20][260/673] lr: 2.0000e-03 eta: 1:29:36 time: 0.2192 data_time: 0.0147 memory: 11037 grad_norm: 11.0722 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8178 loss: 1.8178 2022/08/08 15:38:09 - mmengine - INFO - Epoch(train) [20][280/673] lr: 2.0000e-03 eta: 1:29:29 time: 0.2148 data_time: 0.0128 memory: 11037 grad_norm: 11.2117 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0227 loss: 2.0227 2022/08/08 15:38:14 - mmengine - INFO - Epoch(train) [20][300/673] lr: 2.0000e-03 eta: 1:29:22 time: 0.2172 data_time: 0.0120 memory: 11037 grad_norm: 11.1699 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0249 loss: 2.0249 2022/08/08 15:38:18 - mmengine - INFO - Epoch(train) [20][320/673] lr: 2.0000e-03 eta: 1:29:16 time: 0.2174 data_time: 0.0133 memory: 11037 grad_norm: 11.0438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8992 loss: 1.8992 2022/08/08 15:38:22 - mmengine - INFO - Epoch(train) [20][340/673] lr: 2.0000e-03 eta: 1:29:09 time: 0.2160 data_time: 0.0128 memory: 11037 grad_norm: 11.2282 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8190 loss: 1.8190 2022/08/08 15:38:27 - mmengine - INFO - Epoch(train) [20][360/673] lr: 2.0000e-03 eta: 1:29:03 time: 0.2344 data_time: 0.0137 memory: 11037 grad_norm: 11.0804 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0926 loss: 2.0926 2022/08/08 15:38:31 - mmengine - INFO - Epoch(train) [20][380/673] lr: 2.0000e-03 eta: 1:28:57 time: 0.2172 data_time: 0.0138 memory: 11037 grad_norm: 11.2806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8423 loss: 1.8423 2022/08/08 15:38:36 - mmengine - INFO - Epoch(train) [20][400/673] lr: 2.0000e-03 eta: 1:28:50 time: 0.2153 data_time: 0.0125 memory: 11037 grad_norm: 10.8256 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0287 loss: 2.0287 2022/08/08 15:38:40 - mmengine - INFO - Epoch(train) [20][420/673] lr: 2.0000e-03 eta: 1:28:44 time: 0.2234 data_time: 0.0119 memory: 11037 grad_norm: 10.9823 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9449 loss: 1.9449 2022/08/08 15:38:44 - mmengine - INFO - Epoch(train) [20][440/673] lr: 2.0000e-03 eta: 1:28:37 time: 0.2170 data_time: 0.0135 memory: 11037 grad_norm: 11.5047 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8919 loss: 1.8919 2022/08/08 15:38:49 - mmengine - INFO - Epoch(train) [20][460/673] lr: 2.0000e-03 eta: 1:28:30 time: 0.2157 data_time: 0.0122 memory: 11037 grad_norm: 11.1431 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0230 loss: 2.0230 2022/08/08 15:38:53 - mmengine - INFO - Epoch(train) [20][480/673] lr: 2.0000e-03 eta: 1:28:24 time: 0.2163 data_time: 0.0121 memory: 11037 grad_norm: 11.2413 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9845 loss: 1.9845 2022/08/08 15:38:57 - mmengine - INFO - Epoch(train) [20][500/673] lr: 2.0000e-03 eta: 1:28:18 time: 0.2236 data_time: 0.0139 memory: 11037 grad_norm: 10.9431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9517 loss: 1.9517 2022/08/08 15:39:02 - mmengine - INFO - Epoch(train) [20][520/673] lr: 2.0000e-03 eta: 1:28:11 time: 0.2169 data_time: 0.0151 memory: 11037 grad_norm: 11.0323 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8891 loss: 1.8891 2022/08/08 15:39:06 - mmengine - INFO - Epoch(train) [20][540/673] lr: 2.0000e-03 eta: 1:28:05 time: 0.2252 data_time: 0.0132 memory: 11037 grad_norm: 11.1109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/08/08 15:39:11 - mmengine - INFO - Epoch(train) [20][560/673] lr: 2.0000e-03 eta: 1:27:58 time: 0.2178 data_time: 0.0138 memory: 11037 grad_norm: 10.9779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1054 loss: 2.1054 2022/08/08 15:39:15 - mmengine - INFO - Epoch(train) [20][580/673] lr: 2.0000e-03 eta: 1:27:52 time: 0.2180 data_time: 0.0131 memory: 11037 grad_norm: 10.9488 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1796 loss: 2.1796 2022/08/08 15:39:19 - mmengine - INFO - Epoch(train) [20][600/673] lr: 2.0000e-03 eta: 1:27:45 time: 0.2156 data_time: 0.0133 memory: 11037 grad_norm: 11.1364 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/08/08 15:39:24 - mmengine - INFO - Epoch(train) [20][620/673] lr: 2.0000e-03 eta: 1:27:39 time: 0.2256 data_time: 0.0145 memory: 11037 grad_norm: 11.2476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8438 loss: 1.8438 2022/08/08 15:39:28 - mmengine - INFO - Epoch(train) [20][640/673] lr: 2.0000e-03 eta: 1:27:33 time: 0.2168 data_time: 0.0125 memory: 11037 grad_norm: 11.1499 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8912 loss: 1.8912 2022/08/08 15:39:32 - mmengine - INFO - Epoch(train) [20][660/673] lr: 2.0000e-03 eta: 1:27:26 time: 0.2153 data_time: 0.0126 memory: 11037 grad_norm: 10.9746 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1005 loss: 2.1005 2022/08/08 15:39:35 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:39:35 - mmengine - INFO - Epoch(train) [20][673/673] lr: 2.0000e-03 eta: 1:27:26 time: 0.2146 data_time: 0.0140 memory: 11037 grad_norm: 12.8866 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.2223 loss: 2.2223 2022/08/08 15:39:35 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/08 15:39:39 - mmengine - INFO - Epoch(val) [20][20/91] eta: 0:00:05 time: 0.0767 data_time: 0.0171 memory: 1858 2022/08/08 15:39:40 - mmengine - INFO - Epoch(val) [20][40/91] eta: 0:00:03 time: 0.0688 data_time: 0.0107 memory: 1858 2022/08/08 15:39:42 - mmengine - INFO - Epoch(val) [20][60/91] eta: 0:00:02 time: 0.0683 data_time: 0.0106 memory: 1858 2022/08/08 15:39:43 - mmengine - INFO - Epoch(val) [20][80/91] eta: 0:00:00 time: 0.0621 data_time: 0.0083 memory: 1858 2022/08/08 15:39:44 - mmengine - INFO - Epoch(val) [20][91/91] acc/top1: 0.2860 acc/top5: 0.5674 acc/mean1: 0.2523 2022/08/08 15:39:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/08 15:39:46 - mmengine - INFO - The best checkpoint with 0.2860 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/08 15:39:46 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:39:50 - mmengine - INFO - Epoch(train) [21][20/673] lr: 2.0000e-03 eta: 1:27:11 time: 0.2230 data_time: 0.0201 memory: 11037 grad_norm: 10.9896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8579 loss: 1.8579 2022/08/08 15:39:54 - mmengine - INFO - Epoch(train) [21][40/673] lr: 2.0000e-03 eta: 1:27:05 time: 0.2162 data_time: 0.0125 memory: 11037 grad_norm: 11.1628 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7780 loss: 1.7780 2022/08/08 15:39:59 - mmengine - INFO - Epoch(train) [21][60/673] lr: 2.0000e-03 eta: 1:26:58 time: 0.2163 data_time: 0.0133 memory: 11037 grad_norm: 11.0936 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9789 loss: 1.9789 2022/08/08 15:40:03 - mmengine - INFO - Epoch(train) [21][80/673] lr: 2.0000e-03 eta: 1:26:52 time: 0.2146 data_time: 0.0130 memory: 11037 grad_norm: 11.4970 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9842 loss: 1.9842 2022/08/08 15:40:07 - mmengine - INFO - Epoch(train) [21][100/673] lr: 2.0000e-03 eta: 1:26:46 time: 0.2193 data_time: 0.0132 memory: 11037 grad_norm: 11.5313 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8817 loss: 1.8817 2022/08/08 15:40:12 - mmengine - INFO - Epoch(train) [21][120/673] lr: 2.0000e-03 eta: 1:26:39 time: 0.2169 data_time: 0.0136 memory: 11037 grad_norm: 11.2001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/08/08 15:40:16 - mmengine - INFO - Epoch(train) [21][140/673] lr: 2.0000e-03 eta: 1:26:33 time: 0.2295 data_time: 0.0138 memory: 11037 grad_norm: 11.5033 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1416 loss: 2.1416 2022/08/08 15:40:21 - mmengine - INFO - Epoch(train) [21][160/673] lr: 2.0000e-03 eta: 1:26:27 time: 0.2158 data_time: 0.0130 memory: 11037 grad_norm: 11.3315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9271 loss: 1.9271 2022/08/08 15:40:25 - mmengine - INFO - Epoch(train) [21][180/673] lr: 2.0000e-03 eta: 1:26:20 time: 0.2200 data_time: 0.0135 memory: 11037 grad_norm: 11.1959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9044 loss: 1.9044 2022/08/08 15:40:29 - mmengine - INFO - Epoch(train) [21][200/673] lr: 2.0000e-03 eta: 1:26:14 time: 0.2174 data_time: 0.0134 memory: 11037 grad_norm: 11.3660 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9790 loss: 1.9790 2022/08/08 15:40:34 - mmengine - INFO - Epoch(train) [21][220/673] lr: 2.0000e-03 eta: 1:26:08 time: 0.2270 data_time: 0.0133 memory: 11037 grad_norm: 11.2686 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0745 loss: 2.0745 2022/08/08 15:40:38 - mmengine - INFO - Epoch(train) [21][240/673] lr: 2.0000e-03 eta: 1:26:01 time: 0.2174 data_time: 0.0131 memory: 11037 grad_norm: 11.4672 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8948 loss: 1.8948 2022/08/08 15:40:43 - mmengine - INFO - Epoch(train) [21][260/673] lr: 2.0000e-03 eta: 1:25:55 time: 0.2156 data_time: 0.0122 memory: 11037 grad_norm: 11.2093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9258 loss: 1.9258 2022/08/08 15:40:47 - mmengine - INFO - Epoch(train) [21][280/673] lr: 2.0000e-03 eta: 1:25:49 time: 0.2186 data_time: 0.0123 memory: 11037 grad_norm: 11.1860 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8880 loss: 1.8880 2022/08/08 15:40:51 - mmengine - INFO - Epoch(train) [21][300/673] lr: 2.0000e-03 eta: 1:25:42 time: 0.2163 data_time: 0.0130 memory: 11037 grad_norm: 11.1310 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9004 loss: 1.9004 2022/08/08 15:40:56 - mmengine - INFO - Epoch(train) [21][320/673] lr: 2.0000e-03 eta: 1:25:36 time: 0.2204 data_time: 0.0132 memory: 11037 grad_norm: 10.9656 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9590 loss: 1.9590 2022/08/08 15:41:00 - mmengine - INFO - Epoch(train) [21][340/673] lr: 2.0000e-03 eta: 1:25:30 time: 0.2165 data_time: 0.0121 memory: 11037 grad_norm: 11.6082 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0516 loss: 2.0516 2022/08/08 15:41:04 - mmengine - INFO - Epoch(train) [21][360/673] lr: 2.0000e-03 eta: 1:25:23 time: 0.2159 data_time: 0.0129 memory: 11037 grad_norm: 10.9376 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8973 loss: 1.8973 2022/08/08 15:41:09 - mmengine - INFO - Epoch(train) [21][380/673] lr: 2.0000e-03 eta: 1:25:17 time: 0.2152 data_time: 0.0135 memory: 11037 grad_norm: 10.9640 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8325 loss: 1.8325 2022/08/08 15:41:13 - mmengine - INFO - Epoch(train) [21][400/673] lr: 2.0000e-03 eta: 1:25:10 time: 0.2169 data_time: 0.0145 memory: 11037 grad_norm: 11.0950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6995 loss: 1.6995 2022/08/08 15:41:18 - mmengine - INFO - Epoch(train) [21][420/673] lr: 2.0000e-03 eta: 1:25:04 time: 0.2285 data_time: 0.0144 memory: 11037 grad_norm: 11.4268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9589 loss: 1.9589 2022/08/08 15:41:22 - mmengine - INFO - Epoch(train) [21][440/673] lr: 2.0000e-03 eta: 1:24:58 time: 0.2162 data_time: 0.0128 memory: 11037 grad_norm: 10.8225 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8258 loss: 1.8258 2022/08/08 15:41:26 - mmengine - INFO - Epoch(train) [21][460/673] lr: 2.0000e-03 eta: 1:24:52 time: 0.2159 data_time: 0.0126 memory: 11037 grad_norm: 11.0091 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.9616 loss: 1.9616 2022/08/08 15:41:30 - mmengine - INFO - Epoch(train) [21][480/673] lr: 2.0000e-03 eta: 1:24:45 time: 0.2168 data_time: 0.0136 memory: 11037 grad_norm: 11.5012 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9268 loss: 1.9268 2022/08/08 15:41:35 - mmengine - INFO - Epoch(train) [21][500/673] lr: 2.0000e-03 eta: 1:24:39 time: 0.2321 data_time: 0.0157 memory: 11037 grad_norm: 11.4643 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1378 loss: 2.1378 2022/08/08 15:41:39 - mmengine - INFO - Epoch(train) [21][520/673] lr: 2.0000e-03 eta: 1:24:33 time: 0.2167 data_time: 0.0129 memory: 11037 grad_norm: 10.9787 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9104 loss: 1.9104 2022/08/08 15:41:44 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:41:44 - mmengine - INFO - Epoch(train) [21][540/673] lr: 2.0000e-03 eta: 1:24:27 time: 0.2188 data_time: 0.0136 memory: 11037 grad_norm: 11.7448 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/08/08 15:41:48 - mmengine - INFO - Epoch(train) [21][560/673] lr: 2.0000e-03 eta: 1:24:21 time: 0.2160 data_time: 0.0130 memory: 11037 grad_norm: 11.0039 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9566 loss: 1.9566 2022/08/08 15:41:53 - mmengine - INFO - Epoch(train) [21][580/673] lr: 2.0000e-03 eta: 1:24:14 time: 0.2167 data_time: 0.0135 memory: 11037 grad_norm: 11.3791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/08/08 15:41:57 - mmengine - INFO - Epoch(train) [21][600/673] lr: 2.0000e-03 eta: 1:24:08 time: 0.2247 data_time: 0.0154 memory: 11037 grad_norm: 11.1781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/08/08 15:42:01 - mmengine - INFO - Epoch(train) [21][620/673] lr: 2.0000e-03 eta: 1:24:02 time: 0.2166 data_time: 0.0127 memory: 11037 grad_norm: 10.9956 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8317 loss: 1.8317 2022/08/08 15:42:06 - mmengine - INFO - Epoch(train) [21][640/673] lr: 2.0000e-03 eta: 1:23:56 time: 0.2265 data_time: 0.0143 memory: 11037 grad_norm: 11.1197 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1065 loss: 2.1065 2022/08/08 15:42:10 - mmengine - INFO - Epoch(train) [21][660/673] lr: 2.0000e-03 eta: 1:23:50 time: 0.2157 data_time: 0.0132 memory: 11037 grad_norm: 10.7942 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1530 loss: 2.1530 2022/08/08 15:42:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:42:13 - mmengine - INFO - Epoch(train) [21][673/673] lr: 2.0000e-03 eta: 1:23:50 time: 0.2092 data_time: 0.0126 memory: 11037 grad_norm: 12.8323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8870 loss: 1.8870 2022/08/08 15:42:13 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/08 15:42:17 - mmengine - INFO - Epoch(val) [21][20/91] eta: 0:00:05 time: 0.0786 data_time: 0.0176 memory: 1858 2022/08/08 15:42:18 - mmengine - INFO - Epoch(val) [21][40/91] eta: 0:00:03 time: 0.0673 data_time: 0.0098 memory: 1858 2022/08/08 15:42:19 - mmengine - INFO - Epoch(val) [21][60/91] eta: 0:00:02 time: 0.0671 data_time: 0.0102 memory: 1858 2022/08/08 15:42:20 - mmengine - INFO - Epoch(val) [21][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0086 memory: 1858 2022/08/08 15:42:22 - mmengine - INFO - Epoch(val) [21][91/91] acc/top1: 0.2819 acc/top5: 0.5647 acc/mean1: 0.2469 2022/08/08 15:42:22 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:42:27 - mmengine - INFO - Epoch(train) [22][20/673] lr: 2.0000e-03 eta: 1:23:36 time: 0.2459 data_time: 0.0256 memory: 11037 grad_norm: 11.2043 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9422 loss: 1.9422 2022/08/08 15:42:31 - mmengine - INFO - Epoch(train) [22][40/673] lr: 2.0000e-03 eta: 1:23:30 time: 0.2145 data_time: 0.0121 memory: 11037 grad_norm: 11.3750 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9344 loss: 1.9344 2022/08/08 15:42:35 - mmengine - INFO - Epoch(train) [22][60/673] lr: 2.0000e-03 eta: 1:23:24 time: 0.2210 data_time: 0.0115 memory: 11037 grad_norm: 11.0452 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7317 loss: 1.7317 2022/08/08 15:42:40 - mmengine - INFO - Epoch(train) [22][80/673] lr: 2.0000e-03 eta: 1:23:17 time: 0.2173 data_time: 0.0156 memory: 11037 grad_norm: 11.1833 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7836 loss: 1.7836 2022/08/08 15:42:44 - mmengine - INFO - Epoch(train) [22][100/673] lr: 2.0000e-03 eta: 1:23:11 time: 0.2217 data_time: 0.0142 memory: 11037 grad_norm: 11.4467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9303 loss: 1.9303 2022/08/08 15:42:48 - mmengine - INFO - Epoch(train) [22][120/673] lr: 2.0000e-03 eta: 1:23:05 time: 0.2164 data_time: 0.0130 memory: 11037 grad_norm: 11.2719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9590 loss: 1.9590 2022/08/08 15:42:53 - mmengine - INFO - Epoch(train) [22][140/673] lr: 2.0000e-03 eta: 1:22:59 time: 0.2164 data_time: 0.0133 memory: 11037 grad_norm: 11.1567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9643 loss: 1.9643 2022/08/08 15:42:57 - mmengine - INFO - Epoch(train) [22][160/673] lr: 2.0000e-03 eta: 1:22:53 time: 0.2167 data_time: 0.0140 memory: 11037 grad_norm: 11.2483 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/08/08 15:43:01 - mmengine - INFO - Epoch(train) [22][180/673] lr: 2.0000e-03 eta: 1:22:46 time: 0.2153 data_time: 0.0111 memory: 11037 grad_norm: 11.1732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/08/08 15:43:06 - mmengine - INFO - Epoch(train) [22][200/673] lr: 2.0000e-03 eta: 1:22:40 time: 0.2252 data_time: 0.0150 memory: 11037 grad_norm: 11.2521 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1054 loss: 2.1054 2022/08/08 15:43:10 - mmengine - INFO - Epoch(train) [22][220/673] lr: 2.0000e-03 eta: 1:22:34 time: 0.2162 data_time: 0.0130 memory: 11037 grad_norm: 11.5841 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8270 loss: 1.8270 2022/08/08 15:43:15 - mmengine - INFO - Epoch(train) [22][240/673] lr: 2.0000e-03 eta: 1:22:28 time: 0.2164 data_time: 0.0132 memory: 11037 grad_norm: 11.2417 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9773 loss: 1.9773 2022/08/08 15:43:19 - mmengine - INFO - Epoch(train) [22][260/673] lr: 2.0000e-03 eta: 1:22:22 time: 0.2180 data_time: 0.0135 memory: 11037 grad_norm: 11.2885 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9032 loss: 1.9032 2022/08/08 15:43:23 - mmengine - INFO - Epoch(train) [22][280/673] lr: 2.0000e-03 eta: 1:22:16 time: 0.2166 data_time: 0.0132 memory: 11037 grad_norm: 11.4568 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8998 loss: 1.8998 2022/08/08 15:43:28 - mmengine - INFO - Epoch(train) [22][300/673] lr: 2.0000e-03 eta: 1:22:10 time: 0.2252 data_time: 0.0126 memory: 11037 grad_norm: 11.2780 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0409 loss: 2.0409 2022/08/08 15:43:32 - mmengine - INFO - Epoch(train) [22][320/673] lr: 2.0000e-03 eta: 1:22:03 time: 0.2159 data_time: 0.0131 memory: 11037 grad_norm: 11.1420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9139 loss: 1.9139 2022/08/08 15:43:36 - mmengine - INFO - Epoch(train) [22][340/673] lr: 2.0000e-03 eta: 1:21:57 time: 0.2168 data_time: 0.0130 memory: 11037 grad_norm: 11.5038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9587 loss: 1.9587 2022/08/08 15:43:41 - mmengine - INFO - Epoch(train) [22][360/673] lr: 2.0000e-03 eta: 1:21:51 time: 0.2157 data_time: 0.0125 memory: 11037 grad_norm: 11.1217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/08/08 15:43:45 - mmengine - INFO - Epoch(train) [22][380/673] lr: 2.0000e-03 eta: 1:21:45 time: 0.2391 data_time: 0.0146 memory: 11037 grad_norm: 11.2782 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9520 loss: 1.9520 2022/08/08 15:43:50 - mmengine - INFO - Epoch(train) [22][400/673] lr: 2.0000e-03 eta: 1:21:39 time: 0.2157 data_time: 0.0124 memory: 11037 grad_norm: 11.2232 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/08/08 15:43:54 - mmengine - INFO - Epoch(train) [22][420/673] lr: 2.0000e-03 eta: 1:21:33 time: 0.2152 data_time: 0.0119 memory: 11037 grad_norm: 10.8535 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8996 loss: 1.8996 2022/08/08 15:43:58 - mmengine - INFO - Epoch(train) [22][440/673] lr: 2.0000e-03 eta: 1:21:27 time: 0.2195 data_time: 0.0136 memory: 11037 grad_norm: 11.1585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8630 loss: 1.8630 2022/08/08 15:44:03 - mmengine - INFO - Epoch(train) [22][460/673] lr: 2.0000e-03 eta: 1:21:21 time: 0.2134 data_time: 0.0150 memory: 11037 grad_norm: 11.1436 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8782 loss: 1.8782 2022/08/08 15:44:08 - mmengine - INFO - Epoch(train) [22][480/673] lr: 2.0000e-03 eta: 1:21:15 time: 0.2412 data_time: 0.0134 memory: 11037 grad_norm: 11.1248 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9242 loss: 1.9242 2022/08/08 15:44:12 - mmengine - INFO - Epoch(train) [22][500/673] lr: 2.0000e-03 eta: 1:21:09 time: 0.2165 data_time: 0.0133 memory: 11037 grad_norm: 10.8174 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7936 loss: 1.7936 2022/08/08 15:44:16 - mmengine - INFO - Epoch(train) [22][520/673] lr: 2.0000e-03 eta: 1:21:03 time: 0.2165 data_time: 0.0128 memory: 11037 grad_norm: 10.7319 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9337 loss: 1.9337 2022/08/08 15:44:21 - mmengine - INFO - Epoch(train) [22][540/673] lr: 2.0000e-03 eta: 1:20:57 time: 0.2157 data_time: 0.0120 memory: 11037 grad_norm: 10.8223 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9776 loss: 1.9776 2022/08/08 15:44:26 - mmengine - INFO - Epoch(train) [22][560/673] lr: 2.0000e-03 eta: 1:20:51 time: 0.2483 data_time: 0.0144 memory: 11037 grad_norm: 11.4049 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8026 loss: 1.8026 2022/08/08 15:44:30 - mmengine - INFO - Epoch(train) [22][580/673] lr: 2.0000e-03 eta: 1:20:45 time: 0.2167 data_time: 0.0131 memory: 11037 grad_norm: 10.9928 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0755 loss: 2.0755 2022/08/08 15:44:34 - mmengine - INFO - Epoch(train) [22][600/673] lr: 2.0000e-03 eta: 1:20:39 time: 0.2167 data_time: 0.0128 memory: 11037 grad_norm: 11.1648 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8833 loss: 1.8833 2022/08/08 15:44:39 - mmengine - INFO - Epoch(train) [22][620/673] lr: 2.0000e-03 eta: 1:20:33 time: 0.2179 data_time: 0.0147 memory: 11037 grad_norm: 11.0065 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1057 loss: 2.1057 2022/08/08 15:44:43 - mmengine - INFO - Epoch(train) [22][640/673] lr: 2.0000e-03 eta: 1:20:27 time: 0.2173 data_time: 0.0129 memory: 11037 grad_norm: 11.2837 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9636 loss: 1.9636 2022/08/08 15:44:47 - mmengine - INFO - Epoch(train) [22][660/673] lr: 2.0000e-03 eta: 1:20:21 time: 0.2278 data_time: 0.0127 memory: 11037 grad_norm: 11.4178 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9869 loss: 1.9869 2022/08/08 15:44:50 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:44:50 - mmengine - INFO - Epoch(train) [22][673/673] lr: 2.0000e-03 eta: 1:20:21 time: 0.2133 data_time: 0.0128 memory: 11037 grad_norm: 12.9333 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.8531 loss: 1.8531 2022/08/08 15:44:50 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/08/08 15:44:54 - mmengine - INFO - Epoch(val) [22][20/91] eta: 0:00:05 time: 0.0793 data_time: 0.0196 memory: 1858 2022/08/08 15:44:55 - mmengine - INFO - Epoch(val) [22][40/91] eta: 0:00:03 time: 0.0706 data_time: 0.0119 memory: 1858 2022/08/08 15:44:57 - mmengine - INFO - Epoch(val) [22][60/91] eta: 0:00:02 time: 0.0657 data_time: 0.0097 memory: 1858 2022/08/08 15:44:58 - mmengine - INFO - Epoch(val) [22][80/91] eta: 0:00:00 time: 0.0630 data_time: 0.0088 memory: 1858 2022/08/08 15:44:59 - mmengine - INFO - Epoch(val) [22][91/91] acc/top1: 0.2887 acc/top5: 0.5694 acc/mean1: 0.2565 2022/08/08 15:44:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/08 15:45:00 - mmengine - INFO - The best checkpoint with 0.2887 acc/top1 at 23 epoch is saved to best_acc/top1_epoch_23.pth. 2022/08/08 15:45:00 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:45:05 - mmengine - INFO - Epoch(train) [23][20/673] lr: 2.0000e-03 eta: 1:20:08 time: 0.2245 data_time: 0.0237 memory: 11037 grad_norm: 11.3007 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0038 loss: 2.0038 2022/08/08 15:45:09 - mmengine - INFO - Epoch(train) [23][40/673] lr: 2.0000e-03 eta: 1:20:02 time: 0.2152 data_time: 0.0129 memory: 11037 grad_norm: 11.3442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9024 loss: 1.9024 2022/08/08 15:45:13 - mmengine - INFO - Epoch(train) [23][60/673] lr: 2.0000e-03 eta: 1:19:56 time: 0.2219 data_time: 0.0121 memory: 11037 grad_norm: 11.0420 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7446 loss: 1.7446 2022/08/08 15:45:18 - mmengine - INFO - Epoch(train) [23][80/673] lr: 2.0000e-03 eta: 1:19:49 time: 0.2175 data_time: 0.0141 memory: 11037 grad_norm: 11.1346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/08/08 15:45:22 - mmengine - INFO - Epoch(train) [23][100/673] lr: 2.0000e-03 eta: 1:19:43 time: 0.2152 data_time: 0.0129 memory: 11037 grad_norm: 10.7658 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8913 loss: 1.8913 2022/08/08 15:45:26 - mmengine - INFO - Epoch(train) [23][120/673] lr: 2.0000e-03 eta: 1:19:37 time: 0.2202 data_time: 0.0132 memory: 11037 grad_norm: 11.1659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/08/08 15:45:31 - mmengine - INFO - Epoch(train) [23][140/673] lr: 2.0000e-03 eta: 1:19:31 time: 0.2164 data_time: 0.0156 memory: 11037 grad_norm: 11.1103 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9207 loss: 1.9207 2022/08/08 15:45:35 - mmengine - INFO - Epoch(train) [23][160/673] lr: 2.0000e-03 eta: 1:19:25 time: 0.2165 data_time: 0.0131 memory: 11037 grad_norm: 11.3390 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/08/08 15:45:39 - mmengine - INFO - Epoch(train) [23][180/673] lr: 2.0000e-03 eta: 1:19:19 time: 0.2165 data_time: 0.0124 memory: 11037 grad_norm: 11.2916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8719 loss: 1.8719 2022/08/08 15:45:43 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:45:44 - mmengine - INFO - Epoch(train) [23][200/673] lr: 2.0000e-03 eta: 1:19:13 time: 0.2226 data_time: 0.0139 memory: 11037 grad_norm: 11.6729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8554 loss: 1.8554 2022/08/08 15:45:48 - mmengine - INFO - Epoch(train) [23][220/673] lr: 2.0000e-03 eta: 1:19:07 time: 0.2176 data_time: 0.0117 memory: 11037 grad_norm: 11.3271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9938 loss: 1.9938 2022/08/08 15:45:53 - mmengine - INFO - Epoch(train) [23][240/673] lr: 2.0000e-03 eta: 1:19:01 time: 0.2162 data_time: 0.0128 memory: 11037 grad_norm: 11.7880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9099 loss: 1.9099 2022/08/08 15:45:57 - mmengine - INFO - Epoch(train) [23][260/673] lr: 2.0000e-03 eta: 1:18:55 time: 0.2181 data_time: 0.0152 memory: 11037 grad_norm: 11.2170 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9614 loss: 1.9614 2022/08/08 15:46:01 - mmengine - INFO - Epoch(train) [23][280/673] lr: 2.0000e-03 eta: 1:18:49 time: 0.2169 data_time: 0.0122 memory: 11037 grad_norm: 11.1727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8768 loss: 1.8768 2022/08/08 15:46:06 - mmengine - INFO - Epoch(train) [23][300/673] lr: 2.0000e-03 eta: 1:18:43 time: 0.2214 data_time: 0.0130 memory: 11037 grad_norm: 11.1484 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8424 loss: 1.8424 2022/08/08 15:46:10 - mmengine - INFO - Epoch(train) [23][320/673] lr: 2.0000e-03 eta: 1:18:37 time: 0.2179 data_time: 0.0147 memory: 11037 grad_norm: 11.0242 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8955 loss: 1.8955 2022/08/08 15:46:14 - mmengine - INFO - Epoch(train) [23][340/673] lr: 2.0000e-03 eta: 1:18:31 time: 0.2163 data_time: 0.0126 memory: 11037 grad_norm: 11.3490 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/08/08 15:46:19 - mmengine - INFO - Epoch(train) [23][360/673] lr: 2.0000e-03 eta: 1:18:25 time: 0.2167 data_time: 0.0120 memory: 11037 grad_norm: 11.1654 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8865 loss: 1.8865 2022/08/08 15:46:23 - mmengine - INFO - Epoch(train) [23][380/673] lr: 2.0000e-03 eta: 1:18:19 time: 0.2189 data_time: 0.0136 memory: 11037 grad_norm: 11.4279 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8906 loss: 1.8906 2022/08/08 15:46:28 - mmengine - INFO - Epoch(train) [23][400/673] lr: 2.0000e-03 eta: 1:18:14 time: 0.2277 data_time: 0.0141 memory: 11037 grad_norm: 11.4080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8201 loss: 1.8201 2022/08/08 15:46:32 - mmengine - INFO - Epoch(train) [23][420/673] lr: 2.0000e-03 eta: 1:18:07 time: 0.2162 data_time: 0.0124 memory: 11037 grad_norm: 11.8481 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8798 loss: 1.8798 2022/08/08 15:46:36 - mmengine - INFO - Epoch(train) [23][440/673] lr: 2.0000e-03 eta: 1:18:01 time: 0.2164 data_time: 0.0133 memory: 11037 grad_norm: 10.7085 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5151 loss: 1.5151 2022/08/08 15:46:41 - mmengine - INFO - Epoch(train) [23][460/673] lr: 2.0000e-03 eta: 1:17:55 time: 0.2149 data_time: 0.0119 memory: 11037 grad_norm: 11.5193 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8113 loss: 1.8113 2022/08/08 15:46:45 - mmengine - INFO - Epoch(train) [23][480/673] lr: 2.0000e-03 eta: 1:17:50 time: 0.2274 data_time: 0.0134 memory: 11037 grad_norm: 11.5885 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9582 loss: 1.9582 2022/08/08 15:46:50 - mmengine - INFO - Epoch(train) [23][500/673] lr: 2.0000e-03 eta: 1:17:44 time: 0.2186 data_time: 0.0136 memory: 11037 grad_norm: 11.2209 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8513 loss: 1.8513 2022/08/08 15:46:54 - mmengine - INFO - Epoch(train) [23][520/673] lr: 2.0000e-03 eta: 1:17:38 time: 0.2168 data_time: 0.0129 memory: 11037 grad_norm: 11.2494 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9058 loss: 1.9058 2022/08/08 15:46:58 - mmengine - INFO - Epoch(train) [23][540/673] lr: 2.0000e-03 eta: 1:17:32 time: 0.2153 data_time: 0.0125 memory: 11037 grad_norm: 11.0597 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8147 loss: 1.8147 2022/08/08 15:47:03 - mmengine - INFO - Epoch(train) [23][560/673] lr: 2.0000e-03 eta: 1:17:26 time: 0.2177 data_time: 0.0132 memory: 11037 grad_norm: 11.2132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8558 loss: 1.8558 2022/08/08 15:47:07 - mmengine - INFO - Epoch(train) [23][580/673] lr: 2.0000e-03 eta: 1:17:20 time: 0.2218 data_time: 0.0143 memory: 11037 grad_norm: 11.2117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8082 loss: 1.8082 2022/08/08 15:47:11 - mmengine - INFO - Epoch(train) [23][600/673] lr: 2.0000e-03 eta: 1:17:14 time: 0.2173 data_time: 0.0111 memory: 11037 grad_norm: 11.0485 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9349 loss: 1.9349 2022/08/08 15:47:16 - mmengine - INFO - Epoch(train) [23][620/673] lr: 2.0000e-03 eta: 1:17:08 time: 0.2194 data_time: 0.0147 memory: 11037 grad_norm: 11.1298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/08 15:47:20 - mmengine - INFO - Epoch(train) [23][640/673] lr: 2.0000e-03 eta: 1:17:02 time: 0.2160 data_time: 0.0127 memory: 11037 grad_norm: 11.2166 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8965 loss: 1.8965 2022/08/08 15:47:25 - mmengine - INFO - Epoch(train) [23][660/673] lr: 2.0000e-03 eta: 1:16:57 time: 0.2428 data_time: 0.0143 memory: 11037 grad_norm: 11.3157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8603 loss: 1.8603 2022/08/08 15:47:28 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:47:28 - mmengine - INFO - Epoch(train) [23][673/673] lr: 2.0000e-03 eta: 1:16:57 time: 0.2379 data_time: 0.0169 memory: 11037 grad_norm: 12.7374 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.0315 loss: 2.0315 2022/08/08 15:47:28 - mmengine - INFO - Saving checkpoint at 23 epochs 2022/08/08 15:47:31 - mmengine - INFO - Epoch(val) [23][20/91] eta: 0:00:05 time: 0.0769 data_time: 0.0163 memory: 1858 2022/08/08 15:47:33 - mmengine - INFO - Epoch(val) [23][40/91] eta: 0:00:03 time: 0.0695 data_time: 0.0109 memory: 1858 2022/08/08 15:47:34 - mmengine - INFO - Epoch(val) [23][60/91] eta: 0:00:02 time: 0.0660 data_time: 0.0089 memory: 1858 2022/08/08 15:47:35 - mmengine - INFO - Epoch(val) [23][80/91] eta: 0:00:00 time: 0.0627 data_time: 0.0085 memory: 1858 2022/08/08 15:47:37 - mmengine - INFO - Epoch(val) [23][91/91] acc/top1: 0.2837 acc/top5: 0.5712 acc/mean1: 0.2489 2022/08/08 15:47:37 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:47:41 - mmengine - INFO - Epoch(train) [24][20/673] lr: 2.0000e-03 eta: 1:16:44 time: 0.2353 data_time: 0.0232 memory: 11037 grad_norm: 10.7622 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8433 loss: 1.8433 2022/08/08 15:47:46 - mmengine - INFO - Epoch(train) [24][40/673] lr: 2.0000e-03 eta: 1:16:38 time: 0.2187 data_time: 0.0137 memory: 11037 grad_norm: 11.3332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7523 loss: 1.7523 2022/08/08 15:47:50 - mmengine - INFO - Epoch(train) [24][60/673] lr: 2.0000e-03 eta: 1:16:32 time: 0.2155 data_time: 0.0129 memory: 11037 grad_norm: 11.1006 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8976 loss: 1.8976 2022/08/08 15:47:55 - mmengine - INFO - Epoch(train) [24][80/673] lr: 2.0000e-03 eta: 1:16:27 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 11.7883 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/08/08 15:47:59 - mmengine - INFO - Epoch(train) [24][100/673] lr: 2.0000e-03 eta: 1:16:21 time: 0.2164 data_time: 0.0126 memory: 11037 grad_norm: 11.3058 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6621 loss: 1.6621 2022/08/08 15:48:03 - mmengine - INFO - Epoch(train) [24][120/673] lr: 2.0000e-03 eta: 1:16:15 time: 0.2166 data_time: 0.0116 memory: 11037 grad_norm: 11.4574 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/08/08 15:48:08 - mmengine - INFO - Epoch(train) [24][140/673] lr: 2.0000e-03 eta: 1:16:09 time: 0.2184 data_time: 0.0137 memory: 11037 grad_norm: 11.4376 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7902 loss: 1.7902 2022/08/08 15:48:12 - mmengine - INFO - Epoch(train) [24][160/673] lr: 2.0000e-03 eta: 1:16:03 time: 0.2165 data_time: 0.0129 memory: 11037 grad_norm: 10.9789 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8606 loss: 1.8606 2022/08/08 15:48:16 - mmengine - INFO - Epoch(train) [24][180/673] lr: 2.0000e-03 eta: 1:15:57 time: 0.2235 data_time: 0.0133 memory: 11037 grad_norm: 11.4658 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9991 loss: 1.9991 2022/08/08 15:48:21 - mmengine - INFO - Epoch(train) [24][200/673] lr: 2.0000e-03 eta: 1:15:51 time: 0.2168 data_time: 0.0137 memory: 11037 grad_norm: 11.4608 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7559 loss: 1.7559 2022/08/08 15:48:25 - mmengine - INFO - Epoch(train) [24][220/673] lr: 2.0000e-03 eta: 1:15:45 time: 0.2216 data_time: 0.0165 memory: 11037 grad_norm: 11.2333 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9574 loss: 1.9574 2022/08/08 15:48:29 - mmengine - INFO - Epoch(train) [24][240/673] lr: 2.0000e-03 eta: 1:15:40 time: 0.2181 data_time: 0.0157 memory: 11037 grad_norm: 11.4149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/08/08 15:48:34 - mmengine - INFO - Epoch(train) [24][260/673] lr: 2.0000e-03 eta: 1:15:34 time: 0.2166 data_time: 0.0135 memory: 11037 grad_norm: 11.5439 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6582 loss: 1.6582 2022/08/08 15:48:38 - mmengine - INFO - Epoch(train) [24][280/673] lr: 2.0000e-03 eta: 1:15:28 time: 0.2159 data_time: 0.0134 memory: 11037 grad_norm: 11.1827 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7530 loss: 1.7530 2022/08/08 15:48:42 - mmengine - INFO - Epoch(train) [24][300/673] lr: 2.0000e-03 eta: 1:15:22 time: 0.2162 data_time: 0.0126 memory: 11037 grad_norm: 11.5502 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8919 loss: 1.8919 2022/08/08 15:48:47 - mmengine - INFO - Epoch(train) [24][320/673] lr: 2.0000e-03 eta: 1:15:16 time: 0.2231 data_time: 0.0138 memory: 11037 grad_norm: 11.1525 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/08/08 15:48:51 - mmengine - INFO - Epoch(train) [24][340/673] lr: 2.0000e-03 eta: 1:15:10 time: 0.2174 data_time: 0.0139 memory: 11037 grad_norm: 11.2753 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/08/08 15:48:56 - mmengine - INFO - Epoch(train) [24][360/673] lr: 2.0000e-03 eta: 1:15:04 time: 0.2166 data_time: 0.0125 memory: 11037 grad_norm: 11.0522 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9147 loss: 1.9147 2022/08/08 15:49:00 - mmengine - INFO - Epoch(train) [24][380/673] lr: 2.0000e-03 eta: 1:14:59 time: 0.2237 data_time: 0.0143 memory: 11037 grad_norm: 11.3991 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7588 loss: 1.7588 2022/08/08 15:49:04 - mmengine - INFO - Epoch(train) [24][400/673] lr: 2.0000e-03 eta: 1:14:53 time: 0.2174 data_time: 0.0132 memory: 11037 grad_norm: 11.2600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/08/08 15:49:09 - mmengine - INFO - Epoch(train) [24][420/673] lr: 2.0000e-03 eta: 1:14:47 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 11.4962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8493 loss: 1.8493 2022/08/08 15:49:13 - mmengine - INFO - Epoch(train) [24][440/673] lr: 2.0000e-03 eta: 1:14:41 time: 0.2172 data_time: 0.0133 memory: 11037 grad_norm: 11.2872 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/08/08 15:49:17 - mmengine - INFO - Epoch(train) [24][460/673] lr: 2.0000e-03 eta: 1:14:35 time: 0.2168 data_time: 0.0131 memory: 11037 grad_norm: 11.2842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/08/08 15:49:22 - mmengine - INFO - Epoch(train) [24][480/673] lr: 2.0000e-03 eta: 1:14:29 time: 0.2166 data_time: 0.0121 memory: 11037 grad_norm: 11.2106 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9511 loss: 1.9511 2022/08/08 15:49:26 - mmengine - INFO - Epoch(train) [24][500/673] lr: 2.0000e-03 eta: 1:14:24 time: 0.2191 data_time: 0.0146 memory: 11037 grad_norm: 11.6693 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9907 loss: 1.9907 2022/08/08 15:49:30 - mmengine - INFO - Epoch(train) [24][520/673] lr: 2.0000e-03 eta: 1:14:18 time: 0.2171 data_time: 0.0131 memory: 11037 grad_norm: 11.2793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9296 loss: 1.9296 2022/08/08 15:49:31 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:49:35 - mmengine - INFO - Epoch(train) [24][540/673] lr: 2.0000e-03 eta: 1:14:12 time: 0.2279 data_time: 0.0117 memory: 11037 grad_norm: 11.1716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0314 loss: 2.0314 2022/08/08 15:49:39 - mmengine - INFO - Epoch(train) [24][560/673] lr: 2.0000e-03 eta: 1:14:06 time: 0.2182 data_time: 0.0142 memory: 11037 grad_norm: 11.1015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9312 loss: 1.9312 2022/08/08 15:49:44 - mmengine - INFO - Epoch(train) [24][580/673] lr: 2.0000e-03 eta: 1:14:00 time: 0.2158 data_time: 0.0124 memory: 11037 grad_norm: 11.2105 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7777 loss: 1.7777 2022/08/08 15:49:48 - mmengine - INFO - Epoch(train) [24][600/673] lr: 2.0000e-03 eta: 1:13:55 time: 0.2180 data_time: 0.0134 memory: 11037 grad_norm: 11.3909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6504 loss: 1.6504 2022/08/08 15:49:52 - mmengine - INFO - Epoch(train) [24][620/673] lr: 2.0000e-03 eta: 1:13:49 time: 0.2179 data_time: 0.0145 memory: 11037 grad_norm: 10.9266 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7552 loss: 1.7552 2022/08/08 15:49:57 - mmengine - INFO - Epoch(train) [24][640/673] lr: 2.0000e-03 eta: 1:13:43 time: 0.2289 data_time: 0.0143 memory: 11037 grad_norm: 11.6519 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8233 loss: 1.8233 2022/08/08 15:50:01 - mmengine - INFO - Epoch(train) [24][660/673] lr: 2.0000e-03 eta: 1:13:37 time: 0.2162 data_time: 0.0131 memory: 11037 grad_norm: 11.7133 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8172 loss: 1.8172 2022/08/08 15:50:04 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:50:04 - mmengine - INFO - Epoch(train) [24][673/673] lr: 2.0000e-03 eta: 1:13:37 time: 0.2107 data_time: 0.0154 memory: 11037 grad_norm: 13.6359 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.8077 loss: 1.8077 2022/08/08 15:50:04 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/08 15:50:08 - mmengine - INFO - Epoch(val) [24][20/91] eta: 0:00:05 time: 0.0794 data_time: 0.0183 memory: 1858 2022/08/08 15:50:09 - mmengine - INFO - Epoch(val) [24][40/91] eta: 0:00:03 time: 0.0686 data_time: 0.0115 memory: 1858 2022/08/08 15:50:11 - mmengine - INFO - Epoch(val) [24][60/91] eta: 0:00:02 time: 0.0667 data_time: 0.0100 memory: 1858 2022/08/08 15:50:12 - mmengine - INFO - Epoch(val) [24][80/91] eta: 0:00:00 time: 0.0634 data_time: 0.0086 memory: 1858 2022/08/08 15:50:13 - mmengine - INFO - Epoch(val) [24][91/91] acc/top1: 0.2835 acc/top5: 0.5685 acc/mean1: 0.2504 2022/08/08 15:50:13 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:50:18 - mmengine - INFO - Epoch(train) [25][20/673] lr: 2.0000e-03 eta: 1:13:25 time: 0.2318 data_time: 0.0201 memory: 11037 grad_norm: 11.0400 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7527 loss: 1.7527 2022/08/08 15:50:22 - mmengine - INFO - Epoch(train) [25][40/673] lr: 2.0000e-03 eta: 1:13:19 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 11.0605 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9045 loss: 1.9045 2022/08/08 15:50:27 - mmengine - INFO - Epoch(train) [25][60/673] lr: 2.0000e-03 eta: 1:13:14 time: 0.2331 data_time: 0.0141 memory: 11037 grad_norm: 11.6671 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/08/08 15:50:31 - mmengine - INFO - Epoch(train) [25][80/673] lr: 2.0000e-03 eta: 1:13:08 time: 0.2173 data_time: 0.0135 memory: 11037 grad_norm: 11.3062 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7574 loss: 1.7574 2022/08/08 15:50:35 - mmengine - INFO - Epoch(train) [25][100/673] lr: 2.0000e-03 eta: 1:13:02 time: 0.2180 data_time: 0.0133 memory: 11037 grad_norm: 11.7091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7685 loss: 1.7685 2022/08/08 15:50:40 - mmengine - INFO - Epoch(train) [25][120/673] lr: 2.0000e-03 eta: 1:12:57 time: 0.2161 data_time: 0.0128 memory: 11037 grad_norm: 11.2674 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5597 loss: 1.5597 2022/08/08 15:50:44 - mmengine - INFO - Epoch(train) [25][140/673] lr: 2.0000e-03 eta: 1:12:51 time: 0.2174 data_time: 0.0131 memory: 11037 grad_norm: 11.4558 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8241 loss: 1.8241 2022/08/08 15:50:49 - mmengine - INFO - Epoch(train) [25][160/673] lr: 2.0000e-03 eta: 1:12:45 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 11.3636 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9038 loss: 1.9038 2022/08/08 15:50:53 - mmengine - INFO - Epoch(train) [25][180/673] lr: 2.0000e-03 eta: 1:12:39 time: 0.2153 data_time: 0.0128 memory: 11037 grad_norm: 11.5229 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9277 loss: 1.9277 2022/08/08 15:50:57 - mmengine - INFO - Epoch(train) [25][200/673] lr: 2.0000e-03 eta: 1:12:34 time: 0.2188 data_time: 0.0140 memory: 11037 grad_norm: 11.2147 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5654 loss: 1.5654 2022/08/08 15:51:02 - mmengine - INFO - Epoch(train) [25][220/673] lr: 2.0000e-03 eta: 1:12:28 time: 0.2161 data_time: 0.0130 memory: 11037 grad_norm: 11.2448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7241 loss: 1.7241 2022/08/08 15:51:06 - mmengine - INFO - Epoch(train) [25][240/673] lr: 2.0000e-03 eta: 1:12:22 time: 0.2235 data_time: 0.0122 memory: 11037 grad_norm: 11.1865 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8882 loss: 1.8882 2022/08/08 15:51:10 - mmengine - INFO - Epoch(train) [25][260/673] lr: 2.0000e-03 eta: 1:12:16 time: 0.2166 data_time: 0.0146 memory: 11037 grad_norm: 11.2779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6131 loss: 1.6131 2022/08/08 15:51:15 - mmengine - INFO - Epoch(train) [25][280/673] lr: 2.0000e-03 eta: 1:12:11 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 11.1940 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/08/08 15:51:19 - mmengine - INFO - Epoch(train) [25][300/673] lr: 2.0000e-03 eta: 1:12:05 time: 0.2159 data_time: 0.0128 memory: 11037 grad_norm: 11.3343 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8046 loss: 1.8046 2022/08/08 15:51:23 - mmengine - INFO - Epoch(train) [25][320/673] lr: 2.0000e-03 eta: 1:11:59 time: 0.2191 data_time: 0.0143 memory: 11037 grad_norm: 11.2836 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7512 loss: 1.7512 2022/08/08 15:51:28 - mmengine - INFO - Epoch(train) [25][340/673] lr: 2.0000e-03 eta: 1:11:53 time: 0.2177 data_time: 0.0144 memory: 11037 grad_norm: 11.2776 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7618 loss: 1.7618 2022/08/08 15:51:32 - mmengine - INFO - Epoch(train) [25][360/673] lr: 2.0000e-03 eta: 1:11:48 time: 0.2158 data_time: 0.0129 memory: 11037 grad_norm: 10.8331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6422 loss: 1.6422 2022/08/08 15:51:36 - mmengine - INFO - Epoch(train) [25][380/673] lr: 2.0000e-03 eta: 1:11:42 time: 0.2199 data_time: 0.0134 memory: 11037 grad_norm: 11.0482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8606 loss: 1.8606 2022/08/08 15:51:41 - mmengine - INFO - Epoch(train) [25][400/673] lr: 2.0000e-03 eta: 1:11:36 time: 0.2172 data_time: 0.0143 memory: 11037 grad_norm: 11.5695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8931 loss: 1.8931 2022/08/08 15:51:45 - mmengine - INFO - Epoch(train) [25][420/673] lr: 2.0000e-03 eta: 1:11:31 time: 0.2159 data_time: 0.0115 memory: 11037 grad_norm: 11.5781 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5695 loss: 1.5695 2022/08/08 15:51:50 - mmengine - INFO - Epoch(train) [25][440/673] lr: 2.0000e-03 eta: 1:11:25 time: 0.2196 data_time: 0.0147 memory: 11037 grad_norm: 11.4505 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9600 loss: 1.9600 2022/08/08 15:51:54 - mmengine - INFO - Epoch(train) [25][460/673] lr: 2.0000e-03 eta: 1:11:19 time: 0.2163 data_time: 0.0131 memory: 11037 grad_norm: 11.6443 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8395 loss: 1.8395 2022/08/08 15:51:58 - mmengine - INFO - Epoch(train) [25][480/673] lr: 2.0000e-03 eta: 1:11:13 time: 0.2180 data_time: 0.0129 memory: 11037 grad_norm: 11.0000 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8373 loss: 1.8373 2022/08/08 15:52:03 - mmengine - INFO - Epoch(train) [25][500/673] lr: 2.0000e-03 eta: 1:11:08 time: 0.2163 data_time: 0.0133 memory: 11037 grad_norm: 11.2219 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/08/08 15:52:07 - mmengine - INFO - Epoch(train) [25][520/673] lr: 2.0000e-03 eta: 1:11:02 time: 0.2213 data_time: 0.0137 memory: 11037 grad_norm: 11.5850 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7939 loss: 1.7939 2022/08/08 15:52:11 - mmengine - INFO - Epoch(train) [25][540/673] lr: 2.0000e-03 eta: 1:10:56 time: 0.2158 data_time: 0.0126 memory: 11037 grad_norm: 11.3233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8553 loss: 1.8553 2022/08/08 15:52:16 - mmengine - INFO - Epoch(train) [25][560/673] lr: 2.0000e-03 eta: 1:10:51 time: 0.2177 data_time: 0.0144 memory: 11037 grad_norm: 10.8949 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7781 loss: 1.7781 2022/08/08 15:52:20 - mmengine - INFO - Epoch(train) [25][580/673] lr: 2.0000e-03 eta: 1:10:45 time: 0.2168 data_time: 0.0129 memory: 11037 grad_norm: 11.2512 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8769 loss: 1.8769 2022/08/08 15:52:24 - mmengine - INFO - Epoch(train) [25][600/673] lr: 2.0000e-03 eta: 1:10:39 time: 0.2160 data_time: 0.0124 memory: 11037 grad_norm: 11.9632 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9055 loss: 1.9055 2022/08/08 15:52:29 - mmengine - INFO - Epoch(train) [25][620/673] lr: 2.0000e-03 eta: 1:10:34 time: 0.2204 data_time: 0.0157 memory: 11037 grad_norm: 10.6429 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/08/08 15:52:33 - mmengine - INFO - Epoch(train) [25][640/673] lr: 2.0000e-03 eta: 1:10:28 time: 0.2159 data_time: 0.0131 memory: 11037 grad_norm: 11.4000 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7759 loss: 1.7759 2022/08/08 15:52:37 - mmengine - INFO - Epoch(train) [25][660/673] lr: 2.0000e-03 eta: 1:10:22 time: 0.2167 data_time: 0.0165 memory: 11037 grad_norm: 10.8760 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8474 loss: 1.8474 2022/08/08 15:52:40 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:52:40 - mmengine - INFO - Epoch(train) [25][673/673] lr: 2.0000e-03 eta: 1:10:22 time: 0.2072 data_time: 0.0152 memory: 11037 grad_norm: 13.5440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8623 loss: 1.8623 2022/08/08 15:52:40 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/08/08 15:52:45 - mmengine - INFO - Epoch(val) [25][20/91] eta: 0:00:05 time: 0.0788 data_time: 0.0173 memory: 1858 2022/08/08 15:52:46 - mmengine - INFO - Epoch(val) [25][40/91] eta: 0:00:03 time: 0.0661 data_time: 0.0107 memory: 1858 2022/08/08 15:52:48 - mmengine - INFO - Epoch(val) [25][60/91] eta: 0:00:01 time: 0.0636 data_time: 0.0089 memory: 1858 2022/08/08 15:52:49 - mmengine - INFO - Epoch(val) [25][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0085 memory: 1858 2022/08/08 15:52:50 - mmengine - INFO - Epoch(val) [25][91/91] acc/top1: 0.2861 acc/top5: 0.5736 acc/mean1: 0.2577 2022/08/08 15:52:50 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:52:55 - mmengine - INFO - Epoch(train) [26][20/673] lr: 2.0000e-03 eta: 1:10:10 time: 0.2293 data_time: 0.0211 memory: 11037 grad_norm: 11.5876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/08/08 15:52:59 - mmengine - INFO - Epoch(train) [26][40/673] lr: 2.0000e-03 eta: 1:10:04 time: 0.2168 data_time: 0.0135 memory: 11037 grad_norm: 11.0202 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6896 loss: 1.6896 2022/08/08 15:53:03 - mmengine - INFO - Epoch(train) [26][60/673] lr: 2.0000e-03 eta: 1:09:59 time: 0.2160 data_time: 0.0119 memory: 11037 grad_norm: 10.9840 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8608 loss: 1.8608 2022/08/08 15:53:08 - mmengine - INFO - Epoch(train) [26][80/673] lr: 2.0000e-03 eta: 1:09:53 time: 0.2217 data_time: 0.0141 memory: 11037 grad_norm: 11.6939 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6681 loss: 1.6681 2022/08/08 15:53:12 - mmengine - INFO - Epoch(train) [26][100/673] lr: 2.0000e-03 eta: 1:09:48 time: 0.2171 data_time: 0.0117 memory: 11037 grad_norm: 11.8298 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8457 loss: 1.8457 2022/08/08 15:53:16 - mmengine - INFO - Epoch(train) [26][120/673] lr: 2.0000e-03 eta: 1:09:42 time: 0.2181 data_time: 0.0126 memory: 11037 grad_norm: 11.6282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8503 loss: 1.8503 2022/08/08 15:53:21 - mmengine - INFO - Epoch(train) [26][140/673] lr: 2.0000e-03 eta: 1:09:36 time: 0.2173 data_time: 0.0135 memory: 11037 grad_norm: 11.3303 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7444 loss: 1.7444 2022/08/08 15:53:25 - mmengine - INFO - Epoch(train) [26][160/673] lr: 2.0000e-03 eta: 1:09:31 time: 0.2197 data_time: 0.0135 memory: 11037 grad_norm: 11.2588 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6556 loss: 1.6556 2022/08/08 15:53:28 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:53:29 - mmengine - INFO - Epoch(train) [26][180/673] lr: 2.0000e-03 eta: 1:09:25 time: 0.2174 data_time: 0.0133 memory: 11037 grad_norm: 11.5638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/08 15:53:34 - mmengine - INFO - Epoch(train) [26][200/673] lr: 2.0000e-03 eta: 1:09:19 time: 0.2144 data_time: 0.0132 memory: 11037 grad_norm: 11.4390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7022 loss: 1.7022 2022/08/08 15:53:38 - mmengine - INFO - Epoch(train) [26][220/673] lr: 2.0000e-03 eta: 1:09:14 time: 0.2138 data_time: 0.0128 memory: 11037 grad_norm: 11.4131 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8887 loss: 1.8887 2022/08/08 15:53:42 - mmengine - INFO - Epoch(train) [26][240/673] lr: 2.0000e-03 eta: 1:09:08 time: 0.2167 data_time: 0.0133 memory: 11037 grad_norm: 11.1186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6533 loss: 1.6533 2022/08/08 15:53:47 - mmengine - INFO - Epoch(train) [26][260/673] lr: 2.0000e-03 eta: 1:09:02 time: 0.2250 data_time: 0.0170 memory: 11037 grad_norm: 11.5075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9412 loss: 1.9412 2022/08/08 15:53:51 - mmengine - INFO - Epoch(train) [26][280/673] lr: 2.0000e-03 eta: 1:08:57 time: 0.2163 data_time: 0.0133 memory: 11037 grad_norm: 11.3032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9746 loss: 1.9746 2022/08/08 15:53:56 - mmengine - INFO - Epoch(train) [26][300/673] lr: 2.0000e-03 eta: 1:08:51 time: 0.2183 data_time: 0.0141 memory: 11037 grad_norm: 11.2073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9002 loss: 1.9002 2022/08/08 15:54:00 - mmengine - INFO - Epoch(train) [26][320/673] lr: 2.0000e-03 eta: 1:08:46 time: 0.2224 data_time: 0.0141 memory: 11037 grad_norm: 11.2187 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0034 loss: 2.0034 2022/08/08 15:54:04 - mmengine - INFO - Epoch(train) [26][340/673] lr: 2.0000e-03 eta: 1:08:40 time: 0.2154 data_time: 0.0124 memory: 11037 grad_norm: 11.3174 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9177 loss: 1.9177 2022/08/08 15:54:09 - mmengine - INFO - Epoch(train) [26][360/673] lr: 2.0000e-03 eta: 1:08:34 time: 0.2147 data_time: 0.0116 memory: 11037 grad_norm: 11.2038 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9630 loss: 1.9630 2022/08/08 15:54:13 - mmengine - INFO - Epoch(train) [26][380/673] lr: 2.0000e-03 eta: 1:08:29 time: 0.2172 data_time: 0.0127 memory: 11037 grad_norm: 11.2191 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7172 loss: 1.7172 2022/08/08 15:54:18 - mmengine - INFO - Epoch(train) [26][400/673] lr: 2.0000e-03 eta: 1:08:23 time: 0.2320 data_time: 0.0140 memory: 11037 grad_norm: 11.7222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/08/08 15:54:22 - mmengine - INFO - Epoch(train) [26][420/673] lr: 2.0000e-03 eta: 1:08:18 time: 0.2158 data_time: 0.0129 memory: 11037 grad_norm: 11.6725 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7432 loss: 1.7432 2022/08/08 15:54:26 - mmengine - INFO - Epoch(train) [26][440/673] lr: 2.0000e-03 eta: 1:08:12 time: 0.2224 data_time: 0.0135 memory: 11037 grad_norm: 11.1052 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7926 loss: 1.7926 2022/08/08 15:54:31 - mmengine - INFO - Epoch(train) [26][460/673] lr: 2.0000e-03 eta: 1:08:07 time: 0.2172 data_time: 0.0137 memory: 11037 grad_norm: 11.3897 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6751 loss: 1.6751 2022/08/08 15:54:35 - mmengine - INFO - Epoch(train) [26][480/673] lr: 2.0000e-03 eta: 1:08:01 time: 0.2226 data_time: 0.0144 memory: 11037 grad_norm: 11.5027 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9122 loss: 1.9122 2022/08/08 15:54:40 - mmengine - INFO - Epoch(train) [26][500/673] lr: 2.0000e-03 eta: 1:07:55 time: 0.2175 data_time: 0.0137 memory: 11037 grad_norm: 11.3785 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/08/08 15:54:44 - mmengine - INFO - Epoch(train) [26][520/673] lr: 2.0000e-03 eta: 1:07:50 time: 0.2164 data_time: 0.0127 memory: 11037 grad_norm: 11.4043 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8397 loss: 1.8397 2022/08/08 15:54:48 - mmengine - INFO - Epoch(train) [26][540/673] lr: 2.0000e-03 eta: 1:07:44 time: 0.2156 data_time: 0.0139 memory: 11037 grad_norm: 11.0887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8463 loss: 1.8463 2022/08/08 15:54:53 - mmengine - INFO - Epoch(train) [26][560/673] lr: 2.0000e-03 eta: 1:07:39 time: 0.2166 data_time: 0.0136 memory: 11037 grad_norm: 11.2364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6412 loss: 1.6412 2022/08/08 15:54:57 - mmengine - INFO - Epoch(train) [26][580/673] lr: 2.0000e-03 eta: 1:07:33 time: 0.2309 data_time: 0.0134 memory: 11037 grad_norm: 11.5251 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/08/08 15:55:01 - mmengine - INFO - Epoch(train) [26][600/673] lr: 2.0000e-03 eta: 1:07:28 time: 0.2164 data_time: 0.0125 memory: 11037 grad_norm: 11.4420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/08/08 15:55:06 - mmengine - INFO - Epoch(train) [26][620/673] lr: 2.0000e-03 eta: 1:07:22 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 11.0099 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8436 loss: 1.8436 2022/08/08 15:55:10 - mmengine - INFO - Epoch(train) [26][640/673] lr: 2.0000e-03 eta: 1:07:16 time: 0.2159 data_time: 0.0129 memory: 11037 grad_norm: 11.5007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/08/08 15:55:14 - mmengine - INFO - Epoch(train) [26][660/673] lr: 2.0000e-03 eta: 1:07:11 time: 0.2168 data_time: 0.0127 memory: 11037 grad_norm: 11.5199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6465 loss: 1.6465 2022/08/08 15:55:18 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:55:18 - mmengine - INFO - Epoch(train) [26][673/673] lr: 2.0000e-03 eta: 1:07:11 time: 0.2295 data_time: 0.0150 memory: 11037 grad_norm: 14.6922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5740 loss: 1.5740 2022/08/08 15:55:18 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/08/08 15:55:21 - mmengine - INFO - Epoch(val) [26][20/91] eta: 0:00:05 time: 0.0781 data_time: 0.0180 memory: 1858 2022/08/08 15:55:22 - mmengine - INFO - Epoch(val) [26][40/91] eta: 0:00:03 time: 0.0698 data_time: 0.0119 memory: 1858 2022/08/08 15:55:24 - mmengine - INFO - Epoch(val) [26][60/91] eta: 0:00:02 time: 0.0662 data_time: 0.0097 memory: 1858 2022/08/08 15:55:25 - mmengine - INFO - Epoch(val) [26][80/91] eta: 0:00:00 time: 0.0642 data_time: 0.0088 memory: 1858 2022/08/08 15:55:26 - mmengine - INFO - Epoch(val) [26][91/91] acc/top1: 0.2897 acc/top5: 0.5640 acc/mean1: 0.2599 2022/08/08 15:55:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_23.pth is removed 2022/08/08 15:55:28 - mmengine - INFO - The best checkpoint with 0.2897 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/08 15:55:28 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:55:33 - mmengine - INFO - Epoch(train) [27][20/673] lr: 2.0000e-03 eta: 1:06:59 time: 0.2187 data_time: 0.0170 memory: 11037 grad_norm: 11.4630 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5984 loss: 1.5984 2022/08/08 15:55:37 - mmengine - INFO - Epoch(train) [27][40/673] lr: 2.0000e-03 eta: 1:06:54 time: 0.2260 data_time: 0.0139 memory: 11037 grad_norm: 11.3749 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6350 loss: 1.6350 2022/08/08 15:55:41 - mmengine - INFO - Epoch(train) [27][60/673] lr: 2.0000e-03 eta: 1:06:48 time: 0.2177 data_time: 0.0146 memory: 11037 grad_norm: 11.3289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7779 loss: 1.7779 2022/08/08 15:55:46 - mmengine - INFO - Epoch(train) [27][80/673] lr: 2.0000e-03 eta: 1:06:43 time: 0.2255 data_time: 0.0130 memory: 11037 grad_norm: 11.2194 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7003 loss: 1.7003 2022/08/08 15:55:50 - mmengine - INFO - Epoch(train) [27][100/673] lr: 2.0000e-03 eta: 1:06:37 time: 0.2160 data_time: 0.0126 memory: 11037 grad_norm: 11.1823 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4798 loss: 1.4798 2022/08/08 15:55:55 - mmengine - INFO - Epoch(train) [27][120/673] lr: 2.0000e-03 eta: 1:06:32 time: 0.2169 data_time: 0.0137 memory: 11037 grad_norm: 11.5709 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9024 loss: 1.9024 2022/08/08 15:55:59 - mmengine - INFO - Epoch(train) [27][140/673] lr: 2.0000e-03 eta: 1:06:26 time: 0.2201 data_time: 0.0141 memory: 11037 grad_norm: 11.4442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6956 loss: 1.6956 2022/08/08 15:56:03 - mmengine - INFO - Epoch(train) [27][160/673] lr: 2.0000e-03 eta: 1:06:20 time: 0.2152 data_time: 0.0123 memory: 11037 grad_norm: 11.6115 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6969 loss: 1.6969 2022/08/08 15:56:08 - mmengine - INFO - Epoch(train) [27][180/673] lr: 2.0000e-03 eta: 1:06:15 time: 0.2210 data_time: 0.0147 memory: 11037 grad_norm: 11.3279 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5650 loss: 1.5650 2022/08/08 15:56:12 - mmengine - INFO - Epoch(train) [27][200/673] lr: 2.0000e-03 eta: 1:06:09 time: 0.2165 data_time: 0.0132 memory: 11037 grad_norm: 11.0301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6733 loss: 1.6733 2022/08/08 15:56:16 - mmengine - INFO - Epoch(train) [27][220/673] lr: 2.0000e-03 eta: 1:06:04 time: 0.2215 data_time: 0.0137 memory: 11037 grad_norm: 11.4710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7207 loss: 1.7207 2022/08/08 15:56:21 - mmengine - INFO - Epoch(train) [27][240/673] lr: 2.0000e-03 eta: 1:05:58 time: 0.2168 data_time: 0.0135 memory: 11037 grad_norm: 11.1963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6918 loss: 1.6918 2022/08/08 15:56:25 - mmengine - INFO - Epoch(train) [27][260/673] lr: 2.0000e-03 eta: 1:05:53 time: 0.2164 data_time: 0.0115 memory: 11037 grad_norm: 11.4454 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6468 loss: 1.6468 2022/08/08 15:56:29 - mmengine - INFO - Epoch(train) [27][280/673] lr: 2.0000e-03 eta: 1:05:47 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 11.6645 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8507 loss: 1.8507 2022/08/08 15:56:34 - mmengine - INFO - Epoch(train) [27][300/673] lr: 2.0000e-03 eta: 1:05:42 time: 0.2165 data_time: 0.0135 memory: 11037 grad_norm: 11.1883 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7464 loss: 1.7464 2022/08/08 15:56:38 - mmengine - INFO - Epoch(train) [27][320/673] lr: 2.0000e-03 eta: 1:05:36 time: 0.2203 data_time: 0.0141 memory: 11037 grad_norm: 11.1562 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/08/08 15:56:43 - mmengine - INFO - Epoch(train) [27][340/673] lr: 2.0000e-03 eta: 1:05:31 time: 0.2162 data_time: 0.0125 memory: 11037 grad_norm: 11.1163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8085 loss: 1.8085 2022/08/08 15:56:47 - mmengine - INFO - Epoch(train) [27][360/673] lr: 2.0000e-03 eta: 1:05:25 time: 0.2168 data_time: 0.0137 memory: 11037 grad_norm: 11.1862 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9267 loss: 1.9267 2022/08/08 15:56:51 - mmengine - INFO - Epoch(train) [27][380/673] lr: 2.0000e-03 eta: 1:05:20 time: 0.2191 data_time: 0.0135 memory: 11037 grad_norm: 11.4246 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6917 loss: 1.6917 2022/08/08 15:56:56 - mmengine - INFO - Epoch(train) [27][400/673] lr: 2.0000e-03 eta: 1:05:14 time: 0.2168 data_time: 0.0125 memory: 11037 grad_norm: 11.2724 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6334 loss: 1.6334 2022/08/08 15:57:00 - mmengine - INFO - Epoch(train) [27][420/673] lr: 2.0000e-03 eta: 1:05:09 time: 0.2179 data_time: 0.0134 memory: 11037 grad_norm: 11.2783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6508 loss: 1.6508 2022/08/08 15:57:04 - mmengine - INFO - Epoch(train) [27][440/673] lr: 2.0000e-03 eta: 1:05:03 time: 0.2164 data_time: 0.0124 memory: 11037 grad_norm: 11.7101 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7086 loss: 1.7086 2022/08/08 15:57:09 - mmengine - INFO - Epoch(train) [27][460/673] lr: 2.0000e-03 eta: 1:04:58 time: 0.2181 data_time: 0.0128 memory: 11037 grad_norm: 11.0913 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8518 loss: 1.8518 2022/08/08 15:57:13 - mmengine - INFO - Epoch(train) [27][480/673] lr: 2.0000e-03 eta: 1:04:52 time: 0.2179 data_time: 0.0139 memory: 11037 grad_norm: 11.0647 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4998 loss: 1.4998 2022/08/08 15:57:17 - mmengine - INFO - Epoch(train) [27][500/673] lr: 2.0000e-03 eta: 1:04:47 time: 0.2215 data_time: 0.0117 memory: 11037 grad_norm: 11.6730 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6299 loss: 1.6299 2022/08/08 15:57:18 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:57:22 - mmengine - INFO - Epoch(train) [27][520/673] lr: 2.0000e-03 eta: 1:04:41 time: 0.2171 data_time: 0.0130 memory: 11037 grad_norm: 12.0676 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7385 loss: 1.7385 2022/08/08 15:57:26 - mmengine - INFO - Epoch(train) [27][540/673] lr: 2.0000e-03 eta: 1:04:36 time: 0.2175 data_time: 0.0146 memory: 11037 grad_norm: 10.7907 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6736 loss: 1.6736 2022/08/08 15:57:30 - mmengine - INFO - Epoch(train) [27][560/673] lr: 2.0000e-03 eta: 1:04:30 time: 0.2173 data_time: 0.0132 memory: 11037 grad_norm: 11.4595 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5270 loss: 1.5270 2022/08/08 15:57:35 - mmengine - INFO - Epoch(train) [27][580/673] lr: 2.0000e-03 eta: 1:04:25 time: 0.2171 data_time: 0.0123 memory: 11037 grad_norm: 11.1385 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5929 loss: 1.5929 2022/08/08 15:57:39 - mmengine - INFO - Epoch(train) [27][600/673] lr: 2.0000e-03 eta: 1:04:19 time: 0.2177 data_time: 0.0154 memory: 11037 grad_norm: 11.4608 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6985 loss: 1.6985 2022/08/08 15:57:44 - mmengine - INFO - Epoch(train) [27][620/673] lr: 2.0000e-03 eta: 1:04:14 time: 0.2168 data_time: 0.0119 memory: 11037 grad_norm: 11.1439 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8759 loss: 1.8759 2022/08/08 15:57:48 - mmengine - INFO - Epoch(train) [27][640/673] lr: 2.0000e-03 eta: 1:04:08 time: 0.2173 data_time: 0.0125 memory: 11037 grad_norm: 11.7118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8712 loss: 1.8712 2022/08/08 15:57:52 - mmengine - INFO - Epoch(train) [27][660/673] lr: 2.0000e-03 eta: 1:04:03 time: 0.2174 data_time: 0.0149 memory: 11037 grad_norm: 11.2764 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9778 loss: 1.9778 2022/08/08 15:57:55 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 15:57:55 - mmengine - INFO - Epoch(train) [27][673/673] lr: 2.0000e-03 eta: 1:04:03 time: 0.2142 data_time: 0.0113 memory: 11037 grad_norm: 11.7290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8674 loss: 1.8674 2022/08/08 15:57:55 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/08 15:57:59 - mmengine - INFO - Epoch(val) [27][20/91] eta: 0:00:05 time: 0.0768 data_time: 0.0169 memory: 1858 2022/08/08 15:58:00 - mmengine - INFO - Epoch(val) [27][40/91] eta: 0:00:03 time: 0.0686 data_time: 0.0117 memory: 1858 2022/08/08 15:58:02 - mmengine - INFO - Epoch(val) [27][60/91] eta: 0:00:02 time: 0.0664 data_time: 0.0101 memory: 1858 2022/08/08 15:58:03 - mmengine - INFO - Epoch(val) [27][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0087 memory: 1858 2022/08/08 15:58:04 - mmengine - INFO - Epoch(val) [27][91/91] acc/top1: 0.2887 acc/top5: 0.5665 acc/mean1: 0.2571 2022/08/08 15:58:04 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:58:08 - mmengine - INFO - Epoch(train) [28][20/673] lr: 2.0000e-03 eta: 1:03:51 time: 0.2273 data_time: 0.0249 memory: 11037 grad_norm: 11.8213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/08/08 15:58:13 - mmengine - INFO - Epoch(train) [28][40/673] lr: 2.0000e-03 eta: 1:03:46 time: 0.2164 data_time: 0.0126 memory: 11037 grad_norm: 11.8696 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7967 loss: 1.7967 2022/08/08 15:58:17 - mmengine - INFO - Epoch(train) [28][60/673] lr: 2.0000e-03 eta: 1:03:41 time: 0.2263 data_time: 0.0144 memory: 11037 grad_norm: 11.7155 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7401 loss: 1.7401 2022/08/08 15:58:22 - mmengine - INFO - Epoch(train) [28][80/673] lr: 2.0000e-03 eta: 1:03:35 time: 0.2158 data_time: 0.0135 memory: 11037 grad_norm: 11.6788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5988 loss: 1.5988 2022/08/08 15:58:26 - mmengine - INFO - Epoch(train) [28][100/673] lr: 2.0000e-03 eta: 1:03:30 time: 0.2179 data_time: 0.0142 memory: 11037 grad_norm: 11.8285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6050 loss: 1.6050 2022/08/08 15:58:30 - mmengine - INFO - Epoch(train) [28][120/673] lr: 2.0000e-03 eta: 1:03:24 time: 0.2174 data_time: 0.0128 memory: 11037 grad_norm: 11.4621 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8836 loss: 1.8836 2022/08/08 15:58:35 - mmengine - INFO - Epoch(train) [28][140/673] lr: 2.0000e-03 eta: 1:03:19 time: 0.2177 data_time: 0.0135 memory: 11037 grad_norm: 11.3446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3762 loss: 1.3762 2022/08/08 15:58:39 - mmengine - INFO - Epoch(train) [28][160/673] lr: 2.0000e-03 eta: 1:03:13 time: 0.2212 data_time: 0.0132 memory: 11037 grad_norm: 11.2947 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7286 loss: 1.7286 2022/08/08 15:58:43 - mmengine - INFO - Epoch(train) [28][180/673] lr: 2.0000e-03 eta: 1:03:08 time: 0.2162 data_time: 0.0112 memory: 11037 grad_norm: 11.4717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5148 loss: 1.5148 2022/08/08 15:58:48 - mmengine - INFO - Epoch(train) [28][200/673] lr: 2.0000e-03 eta: 1:03:03 time: 0.2311 data_time: 0.0153 memory: 11037 grad_norm: 11.3228 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8370 loss: 1.8370 2022/08/08 15:58:52 - mmengine - INFO - Epoch(train) [28][220/673] lr: 2.0000e-03 eta: 1:02:57 time: 0.2160 data_time: 0.0127 memory: 11037 grad_norm: 11.8822 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7505 loss: 1.7505 2022/08/08 15:58:57 - mmengine - INFO - Epoch(train) [28][240/673] lr: 2.0000e-03 eta: 1:02:52 time: 0.2198 data_time: 0.0118 memory: 11037 grad_norm: 11.6295 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8342 loss: 1.8342 2022/08/08 15:59:01 - mmengine - INFO - Epoch(train) [28][260/673] lr: 2.0000e-03 eta: 1:02:46 time: 0.2166 data_time: 0.0147 memory: 11037 grad_norm: 11.4319 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6105 loss: 1.6105 2022/08/08 15:59:06 - mmengine - INFO - Epoch(train) [28][280/673] lr: 2.0000e-03 eta: 1:02:41 time: 0.2333 data_time: 0.0137 memory: 11037 grad_norm: 11.9171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8270 loss: 1.8270 2022/08/08 15:59:10 - mmengine - INFO - Epoch(train) [28][300/673] lr: 2.0000e-03 eta: 1:02:36 time: 0.2146 data_time: 0.0116 memory: 11037 grad_norm: 11.6576 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4606 loss: 1.4606 2022/08/08 15:59:14 - mmengine - INFO - Epoch(train) [28][320/673] lr: 2.0000e-03 eta: 1:02:30 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 11.5195 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8567 loss: 1.8567 2022/08/08 15:59:19 - mmengine - INFO - Epoch(train) [28][340/673] lr: 2.0000e-03 eta: 1:02:25 time: 0.2163 data_time: 0.0128 memory: 11037 grad_norm: 11.5350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6816 loss: 1.6816 2022/08/08 15:59:23 - mmengine - INFO - Epoch(train) [28][360/673] lr: 2.0000e-03 eta: 1:02:19 time: 0.2158 data_time: 0.0119 memory: 11037 grad_norm: 11.5382 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6541 loss: 1.6541 2022/08/08 15:59:28 - mmengine - INFO - Epoch(train) [28][380/673] lr: 2.0000e-03 eta: 1:02:14 time: 0.2352 data_time: 0.0149 memory: 11037 grad_norm: 11.0833 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/08 15:59:32 - mmengine - INFO - Epoch(train) [28][400/673] lr: 2.0000e-03 eta: 1:02:09 time: 0.2180 data_time: 0.0132 memory: 11037 grad_norm: 11.5380 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6687 loss: 1.6687 2022/08/08 15:59:36 - mmengine - INFO - Epoch(train) [28][420/673] lr: 2.0000e-03 eta: 1:02:03 time: 0.2164 data_time: 0.0121 memory: 11037 grad_norm: 11.4322 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7529 loss: 1.7529 2022/08/08 15:59:41 - mmengine - INFO - Epoch(train) [28][440/673] lr: 2.0000e-03 eta: 1:01:58 time: 0.2230 data_time: 0.0139 memory: 11037 grad_norm: 11.3554 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6424 loss: 1.6424 2022/08/08 15:59:45 - mmengine - INFO - Epoch(train) [28][460/673] lr: 2.0000e-03 eta: 1:01:52 time: 0.2171 data_time: 0.0126 memory: 11037 grad_norm: 11.4444 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5501 loss: 1.5501 2022/08/08 15:59:50 - mmengine - INFO - Epoch(train) [28][480/673] lr: 2.0000e-03 eta: 1:01:47 time: 0.2173 data_time: 0.0128 memory: 11037 grad_norm: 11.4290 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8585 loss: 1.8585 2022/08/08 15:59:54 - mmengine - INFO - Epoch(train) [28][500/673] lr: 2.0000e-03 eta: 1:01:42 time: 0.2172 data_time: 0.0132 memory: 11037 grad_norm: 11.6477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8454 loss: 1.8454 2022/08/08 15:59:58 - mmengine - INFO - Epoch(train) [28][520/673] lr: 2.0000e-03 eta: 1:01:36 time: 0.2236 data_time: 0.0145 memory: 11037 grad_norm: 11.3087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6240 loss: 1.6240 2022/08/08 16:00:03 - mmengine - INFO - Epoch(train) [28][540/673] lr: 2.0000e-03 eta: 1:01:31 time: 0.2168 data_time: 0.0117 memory: 11037 grad_norm: 11.2966 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8580 loss: 1.8580 2022/08/08 16:00:07 - mmengine - INFO - Epoch(train) [28][560/673] lr: 2.0000e-03 eta: 1:01:25 time: 0.2179 data_time: 0.0146 memory: 11037 grad_norm: 11.3935 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6980 loss: 1.6980 2022/08/08 16:00:11 - mmengine - INFO - Epoch(train) [28][580/673] lr: 2.0000e-03 eta: 1:01:20 time: 0.2160 data_time: 0.0125 memory: 11037 grad_norm: 10.8524 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6378 loss: 1.6378 2022/08/08 16:00:16 - mmengine - INFO - Epoch(train) [28][600/673] lr: 2.0000e-03 eta: 1:01:15 time: 0.2338 data_time: 0.0135 memory: 11037 grad_norm: 11.3647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9383 loss: 1.9383 2022/08/08 16:00:21 - mmengine - INFO - Epoch(train) [28][620/673] lr: 2.0000e-03 eta: 1:01:09 time: 0.2176 data_time: 0.0135 memory: 11037 grad_norm: 11.1040 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5939 loss: 1.5939 2022/08/08 16:00:25 - mmengine - INFO - Epoch(train) [28][640/673] lr: 2.0000e-03 eta: 1:01:04 time: 0.2172 data_time: 0.0132 memory: 11037 grad_norm: 11.5633 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8756 loss: 1.8756 2022/08/08 16:00:29 - mmengine - INFO - Epoch(train) [28][660/673] lr: 2.0000e-03 eta: 1:00:59 time: 0.2176 data_time: 0.0128 memory: 11037 grad_norm: 11.3735 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8984 loss: 1.8984 2022/08/08 16:00:32 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:00:32 - mmengine - INFO - Epoch(train) [28][673/673] lr: 2.0000e-03 eta: 1:00:59 time: 0.2103 data_time: 0.0132 memory: 11037 grad_norm: 13.2372 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/08/08 16:00:32 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/08 16:00:35 - mmengine - INFO - Epoch(val) [28][20/91] eta: 0:00:05 time: 0.0777 data_time: 0.0182 memory: 1858 2022/08/08 16:00:37 - mmengine - INFO - Epoch(val) [28][40/91] eta: 0:00:03 time: 0.0685 data_time: 0.0113 memory: 1858 2022/08/08 16:00:38 - mmengine - INFO - Epoch(val) [28][60/91] eta: 0:00:02 time: 0.0658 data_time: 0.0099 memory: 1858 2022/08/08 16:00:39 - mmengine - INFO - Epoch(val) [28][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0085 memory: 1858 2022/08/08 16:00:40 - mmengine - INFO - Epoch(val) [28][91/91] acc/top1: 0.2830 acc/top5: 0.5697 acc/mean1: 0.2511 2022/08/08 16:00:41 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:00:45 - mmengine - INFO - Epoch(train) [29][20/673] lr: 2.0000e-03 eta: 1:00:48 time: 0.2323 data_time: 0.0256 memory: 11037 grad_norm: 11.3976 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6803 loss: 1.6803 2022/08/08 16:00:50 - mmengine - INFO - Epoch(train) [29][40/673] lr: 2.0000e-03 eta: 1:00:42 time: 0.2173 data_time: 0.0128 memory: 11037 grad_norm: 11.5238 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7180 loss: 1.7180 2022/08/08 16:00:54 - mmengine - INFO - Epoch(train) [29][60/673] lr: 2.0000e-03 eta: 1:00:37 time: 0.2156 data_time: 0.0124 memory: 11037 grad_norm: 11.0137 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5968 loss: 1.5968 2022/08/08 16:00:58 - mmengine - INFO - Epoch(train) [29][80/673] lr: 2.0000e-03 eta: 1:00:32 time: 0.2229 data_time: 0.0133 memory: 11037 grad_norm: 11.6970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/08/08 16:01:03 - mmengine - INFO - Epoch(train) [29][100/673] lr: 2.0000e-03 eta: 1:00:26 time: 0.2164 data_time: 0.0137 memory: 11037 grad_norm: 11.3366 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4822 loss: 1.4822 2022/08/08 16:01:07 - mmengine - INFO - Epoch(train) [29][120/673] lr: 2.0000e-03 eta: 1:00:21 time: 0.2176 data_time: 0.0130 memory: 11037 grad_norm: 11.5226 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7296 loss: 1.7296 2022/08/08 16:01:11 - mmengine - INFO - Epoch(train) [29][140/673] lr: 2.0000e-03 eta: 1:00:16 time: 0.2265 data_time: 0.0174 memory: 11037 grad_norm: 11.2550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7431 loss: 1.7431 2022/08/08 16:01:15 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:01:16 - mmengine - INFO - Epoch(train) [29][160/673] lr: 2.0000e-03 eta: 1:00:10 time: 0.2166 data_time: 0.0138 memory: 11037 grad_norm: 11.0513 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/08/08 16:01:20 - mmengine - INFO - Epoch(train) [29][180/673] lr: 2.0000e-03 eta: 1:00:05 time: 0.2164 data_time: 0.0117 memory: 11037 grad_norm: 11.7917 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5684 loss: 1.5684 2022/08/08 16:01:24 - mmengine - INFO - Epoch(train) [29][200/673] lr: 2.0000e-03 eta: 0:59:59 time: 0.2171 data_time: 0.0131 memory: 11037 grad_norm: 11.7534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7470 loss: 1.7470 2022/08/08 16:01:29 - mmengine - INFO - Epoch(train) [29][220/673] lr: 2.0000e-03 eta: 0:59:54 time: 0.2270 data_time: 0.0140 memory: 11037 grad_norm: 11.3237 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6833 loss: 1.6833 2022/08/08 16:01:33 - mmengine - INFO - Epoch(train) [29][240/673] lr: 2.0000e-03 eta: 0:59:49 time: 0.2175 data_time: 0.0134 memory: 11037 grad_norm: 11.3425 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.6726 loss: 1.6726 2022/08/08 16:01:38 - mmengine - INFO - Epoch(train) [29][260/673] lr: 2.0000e-03 eta: 0:59:43 time: 0.2168 data_time: 0.0145 memory: 11037 grad_norm: 12.0222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6900 loss: 1.6900 2022/08/08 16:01:42 - mmengine - INFO - Epoch(train) [29][280/673] lr: 2.0000e-03 eta: 0:59:38 time: 0.2164 data_time: 0.0125 memory: 11037 grad_norm: 11.5598 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7247 loss: 1.7247 2022/08/08 16:01:47 - mmengine - INFO - Epoch(train) [29][300/673] lr: 2.0000e-03 eta: 0:59:33 time: 0.2264 data_time: 0.0124 memory: 11037 grad_norm: 11.3102 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6109 loss: 1.6109 2022/08/08 16:01:51 - mmengine - INFO - Epoch(train) [29][320/673] lr: 2.0000e-03 eta: 0:59:27 time: 0.2168 data_time: 0.0134 memory: 11037 grad_norm: 11.5650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7258 loss: 1.7258 2022/08/08 16:01:55 - mmengine - INFO - Epoch(train) [29][340/673] lr: 2.0000e-03 eta: 0:59:22 time: 0.2161 data_time: 0.0142 memory: 11037 grad_norm: 11.1092 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5432 loss: 1.5432 2022/08/08 16:02:00 - mmengine - INFO - Epoch(train) [29][360/673] lr: 2.0000e-03 eta: 0:59:17 time: 0.2178 data_time: 0.0132 memory: 11037 grad_norm: 11.3469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/08/08 16:02:04 - mmengine - INFO - Epoch(train) [29][380/673] lr: 2.0000e-03 eta: 0:59:11 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 11.6750 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7326 loss: 1.7326 2022/08/08 16:02:08 - mmengine - INFO - Epoch(train) [29][400/673] lr: 2.0000e-03 eta: 0:59:06 time: 0.2215 data_time: 0.0135 memory: 11037 grad_norm: 11.3122 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4831 loss: 1.4831 2022/08/08 16:02:13 - mmengine - INFO - Epoch(train) [29][420/673] lr: 2.0000e-03 eta: 0:59:01 time: 0.2166 data_time: 0.0125 memory: 11037 grad_norm: 11.6164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8963 loss: 1.8963 2022/08/08 16:02:17 - mmengine - INFO - Epoch(train) [29][440/673] lr: 2.0000e-03 eta: 0:58:55 time: 0.2165 data_time: 0.0129 memory: 11037 grad_norm: 11.4753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6521 loss: 1.6521 2022/08/08 16:02:21 - mmengine - INFO - Epoch(train) [29][460/673] lr: 2.0000e-03 eta: 0:58:50 time: 0.2158 data_time: 0.0126 memory: 11037 grad_norm: 11.3054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8419 loss: 1.8419 2022/08/08 16:02:26 - mmengine - INFO - Epoch(train) [29][480/673] lr: 2.0000e-03 eta: 0:58:45 time: 0.2408 data_time: 0.0143 memory: 11037 grad_norm: 11.2148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7956 loss: 1.7956 2022/08/08 16:02:31 - mmengine - INFO - Epoch(train) [29][500/673] lr: 2.0000e-03 eta: 0:58:40 time: 0.2186 data_time: 0.0139 memory: 11037 grad_norm: 11.7393 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7075 loss: 1.7075 2022/08/08 16:02:35 - mmengine - INFO - Epoch(train) [29][520/673] lr: 2.0000e-03 eta: 0:58:34 time: 0.2158 data_time: 0.0122 memory: 11037 grad_norm: 11.1874 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6900 loss: 1.6900 2022/08/08 16:02:39 - mmengine - INFO - Epoch(train) [29][540/673] lr: 2.0000e-03 eta: 0:58:29 time: 0.2166 data_time: 0.0131 memory: 11037 grad_norm: 11.1362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7868 loss: 1.7868 2022/08/08 16:02:44 - mmengine - INFO - Epoch(train) [29][560/673] lr: 2.0000e-03 eta: 0:58:24 time: 0.2172 data_time: 0.0147 memory: 11037 grad_norm: 11.1132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/08/08 16:02:48 - mmengine - INFO - Epoch(train) [29][580/673] lr: 2.0000e-03 eta: 0:58:18 time: 0.2262 data_time: 0.0135 memory: 11037 grad_norm: 11.4770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8628 loss: 1.8628 2022/08/08 16:02:52 - mmengine - INFO - Epoch(train) [29][600/673] lr: 2.0000e-03 eta: 0:58:13 time: 0.2158 data_time: 0.0135 memory: 11037 grad_norm: 11.7568 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4737 loss: 1.4737 2022/08/08 16:02:57 - mmengine - INFO - Epoch(train) [29][620/673] lr: 2.0000e-03 eta: 0:58:08 time: 0.2222 data_time: 0.0145 memory: 11037 grad_norm: 11.1238 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6834 loss: 1.6834 2022/08/08 16:03:01 - mmengine - INFO - Epoch(train) [29][640/673] lr: 2.0000e-03 eta: 0:58:02 time: 0.2163 data_time: 0.0133 memory: 11037 grad_norm: 11.8593 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8478 loss: 1.8478 2022/08/08 16:03:06 - mmengine - INFO - Epoch(train) [29][660/673] lr: 2.0000e-03 eta: 0:57:57 time: 0.2234 data_time: 0.0120 memory: 11037 grad_norm: 11.6391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6743 loss: 1.6743 2022/08/08 16:03:09 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:03:09 - mmengine - INFO - Epoch(train) [29][673/673] lr: 2.0000e-03 eta: 0:57:57 time: 0.2324 data_time: 0.0135 memory: 11037 grad_norm: 13.9287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5564 loss: 1.5564 2022/08/08 16:03:09 - mmengine - INFO - Saving checkpoint at 29 epochs 2022/08/08 16:03:12 - mmengine - INFO - Epoch(val) [29][20/91] eta: 0:00:05 time: 0.0794 data_time: 0.0178 memory: 1858 2022/08/08 16:03:14 - mmengine - INFO - Epoch(val) [29][40/91] eta: 0:00:03 time: 0.0692 data_time: 0.0103 memory: 1858 2022/08/08 16:03:15 - mmengine - INFO - Epoch(val) [29][60/91] eta: 0:00:02 time: 0.0666 data_time: 0.0104 memory: 1858 2022/08/08 16:03:16 - mmengine - INFO - Epoch(val) [29][80/91] eta: 0:00:00 time: 0.0637 data_time: 0.0089 memory: 1858 2022/08/08 16:03:17 - mmengine - INFO - Epoch(val) [29][91/91] acc/top1: 0.2783 acc/top5: 0.5579 acc/mean1: 0.2533 2022/08/08 16:03:17 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:03:22 - mmengine - INFO - Epoch(train) [30][20/673] lr: 2.0000e-03 eta: 0:57:47 time: 0.2422 data_time: 0.0208 memory: 11037 grad_norm: 11.2836 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/08/08 16:03:27 - mmengine - INFO - Epoch(train) [30][40/673] lr: 2.0000e-03 eta: 0:57:41 time: 0.2172 data_time: 0.0136 memory: 11037 grad_norm: 11.4552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/08/08 16:03:31 - mmengine - INFO - Epoch(train) [30][60/673] lr: 2.0000e-03 eta: 0:57:36 time: 0.2294 data_time: 0.0130 memory: 11037 grad_norm: 11.5291 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8251 loss: 1.8251 2022/08/08 16:03:36 - mmengine - INFO - Epoch(train) [30][80/673] lr: 2.0000e-03 eta: 0:57:31 time: 0.2162 data_time: 0.0126 memory: 11037 grad_norm: 11.5002 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6984 loss: 1.6984 2022/08/08 16:03:40 - mmengine - INFO - Epoch(train) [30][100/673] lr: 2.0000e-03 eta: 0:57:26 time: 0.2172 data_time: 0.0156 memory: 11037 grad_norm: 11.7971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6755 loss: 1.6755 2022/08/08 16:03:44 - mmengine - INFO - Epoch(train) [30][120/673] lr: 2.0000e-03 eta: 0:57:20 time: 0.2173 data_time: 0.0130 memory: 11037 grad_norm: 11.7070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5594 loss: 1.5594 2022/08/08 16:03:49 - mmengine - INFO - Epoch(train) [30][140/673] lr: 2.0000e-03 eta: 0:57:15 time: 0.2267 data_time: 0.0138 memory: 11037 grad_norm: 11.1425 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6521 loss: 1.6521 2022/08/08 16:03:53 - mmengine - INFO - Epoch(train) [30][160/673] lr: 2.0000e-03 eta: 0:57:10 time: 0.2167 data_time: 0.0134 memory: 11037 grad_norm: 11.1963 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5920 loss: 1.5920 2022/08/08 16:03:57 - mmengine - INFO - Epoch(train) [30][180/673] lr: 2.0000e-03 eta: 0:57:04 time: 0.2180 data_time: 0.0130 memory: 11037 grad_norm: 11.5110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4874 loss: 1.4874 2022/08/08 16:04:02 - mmengine - INFO - Epoch(train) [30][200/673] lr: 2.0000e-03 eta: 0:56:59 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 11.4431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7638 loss: 1.7638 2022/08/08 16:04:06 - mmengine - INFO - Epoch(train) [30][220/673] lr: 2.0000e-03 eta: 0:56:54 time: 0.2167 data_time: 0.0120 memory: 11037 grad_norm: 11.1635 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7901 loss: 1.7901 2022/08/08 16:04:11 - mmengine - INFO - Epoch(train) [30][240/673] lr: 2.0000e-03 eta: 0:56:49 time: 0.2159 data_time: 0.0140 memory: 11037 grad_norm: 11.2732 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8634 loss: 1.8634 2022/08/08 16:04:15 - mmengine - INFO - Epoch(train) [30][260/673] lr: 2.0000e-03 eta: 0:56:43 time: 0.2180 data_time: 0.0136 memory: 11037 grad_norm: 12.1005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8325 loss: 1.8325 2022/08/08 16:04:19 - mmengine - INFO - Epoch(train) [30][280/673] lr: 2.0000e-03 eta: 0:56:38 time: 0.2237 data_time: 0.0140 memory: 11037 grad_norm: 11.5367 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6485 loss: 1.6485 2022/08/08 16:04:24 - mmengine - INFO - Epoch(train) [30][300/673] lr: 2.0000e-03 eta: 0:56:33 time: 0.2153 data_time: 0.0125 memory: 11037 grad_norm: 11.4542 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/08/08 16:04:28 - mmengine - INFO - Epoch(train) [30][320/673] lr: 2.0000e-03 eta: 0:56:27 time: 0.2172 data_time: 0.0132 memory: 11037 grad_norm: 11.5866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6536 loss: 1.6536 2022/08/08 16:04:32 - mmengine - INFO - Epoch(train) [30][340/673] lr: 2.0000e-03 eta: 0:56:22 time: 0.2173 data_time: 0.0126 memory: 11037 grad_norm: 11.4607 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6417 loss: 1.6417 2022/08/08 16:04:37 - mmengine - INFO - Epoch(train) [30][360/673] lr: 2.0000e-03 eta: 0:56:17 time: 0.2235 data_time: 0.0136 memory: 11037 grad_norm: 11.6312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6794 loss: 1.6794 2022/08/08 16:04:41 - mmengine - INFO - Epoch(train) [30][380/673] lr: 2.0000e-03 eta: 0:56:12 time: 0.2161 data_time: 0.0136 memory: 11037 grad_norm: 11.5230 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/08/08 16:04:46 - mmengine - INFO - Epoch(train) [30][400/673] lr: 2.0000e-03 eta: 0:56:06 time: 0.2181 data_time: 0.0143 memory: 11037 grad_norm: 11.7019 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7610 loss: 1.7610 2022/08/08 16:04:50 - mmengine - INFO - Epoch(train) [30][420/673] lr: 2.0000e-03 eta: 0:56:01 time: 0.2174 data_time: 0.0129 memory: 11037 grad_norm: 11.2763 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7284 loss: 1.7284 2022/08/08 16:04:54 - mmengine - INFO - Epoch(train) [30][440/673] lr: 2.0000e-03 eta: 0:55:56 time: 0.2166 data_time: 0.0132 memory: 11037 grad_norm: 11.5871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7468 loss: 1.7468 2022/08/08 16:04:59 - mmengine - INFO - Epoch(train) [30][460/673] lr: 2.0000e-03 eta: 0:55:51 time: 0.2277 data_time: 0.0145 memory: 11037 grad_norm: 11.4979 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7074 loss: 1.7074 2022/08/08 16:05:03 - mmengine - INFO - Epoch(train) [30][480/673] lr: 2.0000e-03 eta: 0:55:45 time: 0.2164 data_time: 0.0125 memory: 11037 grad_norm: 11.5016 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5941 loss: 1.5941 2022/08/08 16:05:04 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:05:08 - mmengine - INFO - Epoch(train) [30][500/673] lr: 2.0000e-03 eta: 0:55:40 time: 0.2180 data_time: 0.0133 memory: 11037 grad_norm: 11.2927 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/08/08 16:05:12 - mmengine - INFO - Epoch(train) [30][520/673] lr: 2.0000e-03 eta: 0:55:35 time: 0.2164 data_time: 0.0139 memory: 11037 grad_norm: 11.1905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6876 loss: 1.6876 2022/08/08 16:05:17 - mmengine - INFO - Epoch(train) [30][540/673] lr: 2.0000e-03 eta: 0:55:30 time: 0.2325 data_time: 0.0160 memory: 11037 grad_norm: 11.1550 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5267 loss: 1.5267 2022/08/08 16:05:21 - mmengine - INFO - Epoch(train) [30][560/673] lr: 2.0000e-03 eta: 0:55:24 time: 0.2165 data_time: 0.0133 memory: 11037 grad_norm: 11.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5460 loss: 1.5460 2022/08/08 16:05:25 - mmengine - INFO - Epoch(train) [30][580/673] lr: 2.0000e-03 eta: 0:55:19 time: 0.2163 data_time: 0.0135 memory: 11037 grad_norm: 11.3042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6251 loss: 1.6251 2022/08/08 16:05:30 - mmengine - INFO - Epoch(train) [30][600/673] lr: 2.0000e-03 eta: 0:55:14 time: 0.2168 data_time: 0.0123 memory: 11037 grad_norm: 11.3617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/08/08 16:05:34 - mmengine - INFO - Epoch(train) [30][620/673] lr: 2.0000e-03 eta: 0:55:09 time: 0.2163 data_time: 0.0129 memory: 11037 grad_norm: 10.9370 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7090 loss: 1.7090 2022/08/08 16:05:39 - mmengine - INFO - Epoch(train) [30][640/673] lr: 2.0000e-03 eta: 0:55:04 time: 0.2431 data_time: 0.0145 memory: 11037 grad_norm: 11.4380 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6336 loss: 1.6336 2022/08/08 16:05:43 - mmengine - INFO - Epoch(train) [30][660/673] lr: 2.0000e-03 eta: 0:54:58 time: 0.2171 data_time: 0.0125 memory: 11037 grad_norm: 11.3517 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8603 loss: 1.8603 2022/08/08 16:05:46 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:05:46 - mmengine - INFO - Epoch(train) [30][673/673] lr: 2.0000e-03 eta: 0:54:58 time: 0.2136 data_time: 0.0129 memory: 11037 grad_norm: 13.6744 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.0638 loss: 2.0638 2022/08/08 16:05:46 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/08 16:05:49 - mmengine - INFO - Epoch(val) [30][20/91] eta: 0:00:05 time: 0.0773 data_time: 0.0180 memory: 1858 2022/08/08 16:05:51 - mmengine - INFO - Epoch(val) [30][40/91] eta: 0:00:03 time: 0.0677 data_time: 0.0108 memory: 1858 2022/08/08 16:05:52 - mmengine - INFO - Epoch(val) [30][60/91] eta: 0:00:02 time: 0.0658 data_time: 0.0099 memory: 1858 2022/08/08 16:05:53 - mmengine - INFO - Epoch(val) [30][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0086 memory: 1858 2022/08/08 16:05:55 - mmengine - INFO - Epoch(val) [30][91/91] acc/top1: 0.2686 acc/top5: 0.5453 acc/mean1: 0.2426 2022/08/08 16:05:55 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:05:59 - mmengine - INFO - Epoch(train) [31][20/673] lr: 2.0000e-04 eta: 0:54:48 time: 0.2358 data_time: 0.0255 memory: 11037 grad_norm: 10.5226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6679 loss: 1.6679 2022/08/08 16:06:04 - mmengine - INFO - Epoch(train) [31][40/673] lr: 2.0000e-04 eta: 0:54:43 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 10.5141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5334 loss: 1.5334 2022/08/08 16:06:08 - mmengine - INFO - Epoch(train) [31][60/673] lr: 2.0000e-04 eta: 0:54:38 time: 0.2263 data_time: 0.0150 memory: 11037 grad_norm: 10.4603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/08/08 16:06:13 - mmengine - INFO - Epoch(train) [31][80/673] lr: 2.0000e-04 eta: 0:54:32 time: 0.2188 data_time: 0.0142 memory: 11037 grad_norm: 10.3888 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4381 loss: 1.4381 2022/08/08 16:06:17 - mmengine - INFO - Epoch(train) [31][100/673] lr: 2.0000e-04 eta: 0:54:27 time: 0.2157 data_time: 0.0127 memory: 11037 grad_norm: 10.6897 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.5173 loss: 1.5173 2022/08/08 16:06:21 - mmengine - INFO - Epoch(train) [31][120/673] lr: 2.0000e-04 eta: 0:54:22 time: 0.2157 data_time: 0.0123 memory: 11037 grad_norm: 10.6316 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5183 loss: 1.5183 2022/08/08 16:06:26 - mmengine - INFO - Epoch(train) [31][140/673] lr: 2.0000e-04 eta: 0:54:17 time: 0.2166 data_time: 0.0134 memory: 11037 grad_norm: 10.4802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4436 loss: 1.4436 2022/08/08 16:06:30 - mmengine - INFO - Epoch(train) [31][160/673] lr: 2.0000e-04 eta: 0:54:11 time: 0.2217 data_time: 0.0132 memory: 11037 grad_norm: 10.8364 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4118 loss: 1.4118 2022/08/08 16:06:34 - mmengine - INFO - Epoch(train) [31][180/673] lr: 2.0000e-04 eta: 0:54:06 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 10.3832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3673 loss: 1.3673 2022/08/08 16:06:39 - mmengine - INFO - Epoch(train) [31][200/673] lr: 2.0000e-04 eta: 0:54:01 time: 0.2173 data_time: 0.0132 memory: 11037 grad_norm: 10.4120 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4129 loss: 1.4129 2022/08/08 16:06:43 - mmengine - INFO - Epoch(train) [31][220/673] lr: 2.0000e-04 eta: 0:53:56 time: 0.2172 data_time: 0.0124 memory: 11037 grad_norm: 10.6645 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3100 loss: 1.3100 2022/08/08 16:06:47 - mmengine - INFO - Epoch(train) [31][240/673] lr: 2.0000e-04 eta: 0:53:51 time: 0.2220 data_time: 0.0118 memory: 11037 grad_norm: 10.8130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4226 loss: 1.4226 2022/08/08 16:06:52 - mmengine - INFO - Epoch(train) [31][260/673] lr: 2.0000e-04 eta: 0:53:45 time: 0.2167 data_time: 0.0134 memory: 11037 grad_norm: 10.6644 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/08/08 16:06:56 - mmengine - INFO - Epoch(train) [31][280/673] lr: 2.0000e-04 eta: 0:53:40 time: 0.2169 data_time: 0.0125 memory: 11037 grad_norm: 10.6633 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2028 loss: 1.2028 2022/08/08 16:07:00 - mmengine - INFO - Epoch(train) [31][300/673] lr: 2.0000e-04 eta: 0:53:35 time: 0.2158 data_time: 0.0123 memory: 11037 grad_norm: 10.6874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2875 loss: 1.2875 2022/08/08 16:07:05 - mmengine - INFO - Epoch(train) [31][320/673] lr: 2.0000e-04 eta: 0:53:30 time: 0.2325 data_time: 0.0170 memory: 11037 grad_norm: 10.9463 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/08/08 16:08:07 - mmengine - INFO - Epoch(train) [31][340/673] lr: 2.0000e-04 eta: 0:54:01 time: 3.0965 data_time: 0.0113 memory: 11037 grad_norm: 10.5425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/08/08 16:08:11 - mmengine - INFO - Epoch(train) [31][360/673] lr: 2.0000e-04 eta: 0:53:56 time: 0.2176 data_time: 0.0158 memory: 11037 grad_norm: 10.3263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1566 loss: 1.1566 2022/08/08 16:08:16 - mmengine - INFO - Epoch(train) [31][380/673] lr: 2.0000e-04 eta: 0:53:51 time: 0.2157 data_time: 0.0125 memory: 11037 grad_norm: 10.5857 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2654 loss: 1.2654 2022/08/08 16:08:20 - mmengine - INFO - Epoch(train) [31][400/673] lr: 2.0000e-04 eta: 0:53:45 time: 0.2175 data_time: 0.0127 memory: 11037 grad_norm: 11.0047 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4940 loss: 1.4940 2022/08/08 16:08:24 - mmengine - INFO - Epoch(train) [31][420/673] lr: 2.0000e-04 eta: 0:53:40 time: 0.2178 data_time: 0.0146 memory: 11037 grad_norm: 10.7483 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/08/08 16:08:29 - mmengine - INFO - Epoch(train) [31][440/673] lr: 2.0000e-04 eta: 0:53:35 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 10.8294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2989 loss: 1.2989 2022/08/08 16:08:33 - mmengine - INFO - Epoch(train) [31][460/673] lr: 2.0000e-04 eta: 0:53:29 time: 0.2159 data_time: 0.0119 memory: 11037 grad_norm: 10.3293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/08/08 16:08:38 - mmengine - INFO - Epoch(train) [31][480/673] lr: 2.0000e-04 eta: 0:53:24 time: 0.2200 data_time: 0.0150 memory: 11037 grad_norm: 10.6523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/08/08 16:08:42 - mmengine - INFO - Epoch(train) [31][500/673] lr: 2.0000e-04 eta: 0:53:19 time: 0.2171 data_time: 0.0129 memory: 11037 grad_norm: 10.8219 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2721 loss: 1.2721 2022/08/08 16:08:46 - mmengine - INFO - Epoch(train) [31][520/673] lr: 2.0000e-04 eta: 0:53:14 time: 0.2243 data_time: 0.0144 memory: 11037 grad_norm: 10.9782 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3421 loss: 1.3421 2022/08/08 16:08:51 - mmengine - INFO - Epoch(train) [31][540/673] lr: 2.0000e-04 eta: 0:53:08 time: 0.2184 data_time: 0.0144 memory: 11037 grad_norm: 10.7102 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3764 loss: 1.3764 2022/08/08 16:08:55 - mmengine - INFO - Epoch(train) [31][560/673] lr: 2.0000e-04 eta: 0:53:03 time: 0.2163 data_time: 0.0125 memory: 11037 grad_norm: 10.9439 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/08 16:09:00 - mmengine - INFO - Epoch(train) [31][580/673] lr: 2.0000e-04 eta: 0:52:58 time: 0.2225 data_time: 0.0134 memory: 11037 grad_norm: 10.6335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4810 loss: 1.4810 2022/08/08 16:09:04 - mmengine - INFO - Epoch(train) [31][600/673] lr: 2.0000e-04 eta: 0:52:53 time: 0.2180 data_time: 0.0137 memory: 11037 grad_norm: 10.5776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1404 loss: 1.1404 2022/08/08 16:09:08 - mmengine - INFO - Epoch(train) [31][620/673] lr: 2.0000e-04 eta: 0:52:47 time: 0.2216 data_time: 0.0129 memory: 11037 grad_norm: 10.8604 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/08/08 16:09:13 - mmengine - INFO - Epoch(train) [31][640/673] lr: 2.0000e-04 eta: 0:52:42 time: 0.2170 data_time: 0.0122 memory: 11037 grad_norm: 10.6987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3478 loss: 1.3478 2022/08/08 16:09:17 - mmengine - INFO - Epoch(train) [31][660/673] lr: 2.0000e-04 eta: 0:52:37 time: 0.2224 data_time: 0.0144 memory: 11037 grad_norm: 10.5664 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4004 loss: 1.4004 2022/08/08 16:09:20 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:09:20 - mmengine - INFO - Epoch(train) [31][673/673] lr: 2.0000e-04 eta: 0:52:37 time: 0.2148 data_time: 0.0128 memory: 11037 grad_norm: 12.7404 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.7499 loss: 1.7499 2022/08/08 16:09:20 - mmengine - INFO - Saving checkpoint at 31 epochs 2022/08/08 16:09:23 - mmengine - INFO - Epoch(val) [31][20/91] eta: 0:00:05 time: 0.0780 data_time: 0.0185 memory: 1858 2022/08/08 16:09:25 - mmengine - INFO - Epoch(val) [31][40/91] eta: 0:00:03 time: 0.0689 data_time: 0.0105 memory: 1858 2022/08/08 16:09:26 - mmengine - INFO - Epoch(val) [31][60/91] eta: 0:00:02 time: 0.0681 data_time: 0.0115 memory: 1858 2022/08/08 16:09:27 - mmengine - INFO - Epoch(val) [31][80/91] eta: 0:00:00 time: 0.0648 data_time: 0.0094 memory: 1858 2022/08/08 16:09:29 - mmengine - INFO - Epoch(val) [31][91/91] acc/top1: 0.3159 acc/top5: 0.6061 acc/mean1: 0.2841 2022/08/08 16:09:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/08 16:09:30 - mmengine - INFO - The best checkpoint with 0.3159 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/08/08 16:09:30 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:09:35 - mmengine - INFO - Epoch(train) [32][20/673] lr: 2.0000e-04 eta: 0:52:26 time: 0.2215 data_time: 0.0166 memory: 11037 grad_norm: 10.3880 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1770 loss: 1.1770 2022/08/08 16:09:39 - mmengine - INFO - Epoch(train) [32][40/673] lr: 2.0000e-04 eta: 0:52:21 time: 0.2327 data_time: 0.0149 memory: 11037 grad_norm: 10.4945 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2682 loss: 1.2682 2022/08/08 16:09:44 - mmengine - INFO - Epoch(train) [32][60/673] lr: 2.0000e-04 eta: 0:52:16 time: 0.2165 data_time: 0.0134 memory: 11037 grad_norm: 10.8773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/08/08 16:09:48 - mmengine - INFO - Epoch(train) [32][80/673] lr: 2.0000e-04 eta: 0:52:11 time: 0.2205 data_time: 0.0125 memory: 11037 grad_norm: 10.9546 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2999 loss: 1.2999 2022/08/08 16:09:52 - mmengine - INFO - Epoch(train) [32][100/673] lr: 2.0000e-04 eta: 0:52:05 time: 0.2162 data_time: 0.0122 memory: 11037 grad_norm: 10.9839 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3114 loss: 1.3114 2022/08/08 16:09:57 - mmengine - INFO - Epoch(train) [32][120/673] lr: 2.0000e-04 eta: 0:52:00 time: 0.2200 data_time: 0.0148 memory: 11037 grad_norm: 10.6192 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4436 loss: 1.4436 2022/08/08 16:10:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:10:01 - mmengine - INFO - Epoch(train) [32][140/673] lr: 2.0000e-04 eta: 0:51:55 time: 0.2172 data_time: 0.0128 memory: 11037 grad_norm: 10.7807 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/08 16:10:05 - mmengine - INFO - Epoch(train) [32][160/673] lr: 2.0000e-04 eta: 0:51:50 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 10.4711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0318 loss: 1.0318 2022/08/08 16:10:10 - mmengine - INFO - Epoch(train) [32][180/673] lr: 2.0000e-04 eta: 0:51:44 time: 0.2158 data_time: 0.0130 memory: 11037 grad_norm: 10.7313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1337 loss: 1.1337 2022/08/08 16:10:14 - mmengine - INFO - Epoch(train) [32][200/673] lr: 2.0000e-04 eta: 0:51:39 time: 0.2176 data_time: 0.0130 memory: 11037 grad_norm: 10.8663 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1717 loss: 1.1717 2022/08/08 16:10:18 - mmengine - INFO - Epoch(train) [32][220/673] lr: 2.0000e-04 eta: 0:51:34 time: 0.2224 data_time: 0.0138 memory: 11037 grad_norm: 10.8126 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2057 loss: 1.2057 2022/08/08 16:10:23 - mmengine - INFO - Epoch(train) [32][240/673] lr: 2.0000e-04 eta: 0:51:29 time: 0.2176 data_time: 0.0137 memory: 11037 grad_norm: 11.1446 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2127 loss: 1.2127 2022/08/08 16:10:27 - mmengine - INFO - Epoch(train) [32][260/673] lr: 2.0000e-04 eta: 0:51:23 time: 0.2170 data_time: 0.0127 memory: 11037 grad_norm: 10.8342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3286 loss: 1.3286 2022/08/08 16:10:32 - mmengine - INFO - Epoch(train) [32][280/673] lr: 2.0000e-04 eta: 0:51:18 time: 0.2171 data_time: 0.0129 memory: 11037 grad_norm: 11.0598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2638 loss: 1.2638 2022/08/08 16:10:36 - mmengine - INFO - Epoch(train) [32][300/673] lr: 2.0000e-04 eta: 0:51:13 time: 0.2175 data_time: 0.0130 memory: 11037 grad_norm: 10.7434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/08/08 16:10:41 - mmengine - INFO - Epoch(train) [32][320/673] lr: 2.0000e-04 eta: 0:51:08 time: 0.2429 data_time: 0.0135 memory: 11037 grad_norm: 10.6991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/08/08 16:10:45 - mmengine - INFO - Epoch(train) [32][340/673] lr: 2.0000e-04 eta: 0:51:03 time: 0.2167 data_time: 0.0130 memory: 11037 grad_norm: 11.1776 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2903 loss: 1.2903 2022/08/08 16:10:49 - mmengine - INFO - Epoch(train) [32][360/673] lr: 2.0000e-04 eta: 0:50:57 time: 0.2183 data_time: 0.0134 memory: 11037 grad_norm: 10.9246 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2810 loss: 1.2810 2022/08/08 16:10:54 - mmengine - INFO - Epoch(train) [32][380/673] lr: 2.0000e-04 eta: 0:50:52 time: 0.2168 data_time: 0.0127 memory: 11037 grad_norm: 10.9406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3216 loss: 1.3216 2022/08/08 16:10:58 - mmengine - INFO - Epoch(train) [32][400/673] lr: 2.0000e-04 eta: 0:50:47 time: 0.2307 data_time: 0.0129 memory: 11037 grad_norm: 10.7236 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3013 loss: 1.3013 2022/08/08 16:11:03 - mmengine - INFO - Epoch(train) [32][420/673] lr: 2.0000e-04 eta: 0:50:42 time: 0.2178 data_time: 0.0144 memory: 11037 grad_norm: 10.6119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1087 loss: 1.1087 2022/08/08 16:11:07 - mmengine - INFO - Epoch(train) [32][440/673] lr: 2.0000e-04 eta: 0:50:36 time: 0.2162 data_time: 0.0128 memory: 11037 grad_norm: 10.9495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3321 loss: 1.3321 2022/08/08 16:11:11 - mmengine - INFO - Epoch(train) [32][460/673] lr: 2.0000e-04 eta: 0:50:31 time: 0.2166 data_time: 0.0122 memory: 11037 grad_norm: 11.2952 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3529 loss: 1.3529 2022/08/08 16:11:16 - mmengine - INFO - Epoch(train) [32][480/673] lr: 2.0000e-04 eta: 0:50:26 time: 0.2167 data_time: 0.0134 memory: 11037 grad_norm: 10.9644 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2053 loss: 1.2053 2022/08/08 16:11:20 - mmengine - INFO - Epoch(train) [32][500/673] lr: 2.0000e-04 eta: 0:50:21 time: 0.2266 data_time: 0.0133 memory: 11037 grad_norm: 10.9093 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3423 loss: 1.3423 2022/08/08 16:11:25 - mmengine - INFO - Epoch(train) [32][520/673] lr: 2.0000e-04 eta: 0:50:16 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 11.4417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/08/08 16:11:29 - mmengine - INFO - Epoch(train) [32][540/673] lr: 2.0000e-04 eta: 0:50:10 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 10.6133 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4049 loss: 1.4049 2022/08/08 16:11:33 - mmengine - INFO - Epoch(train) [32][560/673] lr: 2.0000e-04 eta: 0:50:05 time: 0.2177 data_time: 0.0125 memory: 11037 grad_norm: 11.0586 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1703 loss: 1.1703 2022/08/08 16:11:38 - mmengine - INFO - Epoch(train) [32][580/673] lr: 2.0000e-04 eta: 0:50:00 time: 0.2282 data_time: 0.0133 memory: 11037 grad_norm: 11.2258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/08/08 16:11:42 - mmengine - INFO - Epoch(train) [32][600/673] lr: 2.0000e-04 eta: 0:49:55 time: 0.2181 data_time: 0.0136 memory: 11037 grad_norm: 10.7405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/08/08 16:11:47 - mmengine - INFO - Epoch(train) [32][620/673] lr: 2.0000e-04 eta: 0:49:49 time: 0.2185 data_time: 0.0125 memory: 11037 grad_norm: 11.2634 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4767 loss: 1.4767 2022/08/08 16:11:51 - mmengine - INFO - Epoch(train) [32][640/673] lr: 2.0000e-04 eta: 0:49:44 time: 0.2168 data_time: 0.0129 memory: 11037 grad_norm: 10.7927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2929 loss: 1.2929 2022/08/08 16:11:55 - mmengine - INFO - Epoch(train) [32][660/673] lr: 2.0000e-04 eta: 0:49:39 time: 0.2160 data_time: 0.0135 memory: 11037 grad_norm: 10.6785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/08/08 16:11:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:11:59 - mmengine - INFO - Epoch(train) [32][673/673] lr: 2.0000e-04 eta: 0:49:39 time: 0.2416 data_time: 0.0171 memory: 11037 grad_norm: 12.9698 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.1855 loss: 1.1855 2022/08/08 16:11:59 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/08 16:12:03 - mmengine - INFO - Epoch(val) [32][20/91] eta: 0:00:05 time: 0.0776 data_time: 0.0176 memory: 1858 2022/08/08 16:12:04 - mmengine - INFO - Epoch(val) [32][40/91] eta: 0:00:03 time: 0.0684 data_time: 0.0105 memory: 1858 2022/08/08 16:12:05 - mmengine - INFO - Epoch(val) [32][60/91] eta: 0:00:02 time: 0.0653 data_time: 0.0100 memory: 1858 2022/08/08 16:12:07 - mmengine - INFO - Epoch(val) [32][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0085 memory: 1858 2022/08/08 16:12:08 - mmengine - INFO - Epoch(val) [32][91/91] acc/top1: 0.3181 acc/top5: 0.6047 acc/mean1: 0.2833 2022/08/08 16:12:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv1_rgb/best_acc/top1_epoch_32.pth is removed 2022/08/08 16:12:10 - mmengine - INFO - The best checkpoint with 0.3181 acc/top1 at 33 epoch is saved to best_acc/top1_epoch_33.pth. 2022/08/08 16:12:10 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:12:14 - mmengine - INFO - Epoch(train) [33][20/673] lr: 2.0000e-04 eta: 0:49:29 time: 0.2230 data_time: 0.0174 memory: 11037 grad_norm: 10.6132 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/08/08 16:12:19 - mmengine - INFO - Epoch(train) [33][40/673] lr: 2.0000e-04 eta: 0:49:24 time: 0.2160 data_time: 0.0120 memory: 11037 grad_norm: 10.7190 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1865 loss: 1.1865 2022/08/08 16:12:23 - mmengine - INFO - Epoch(train) [33][60/673] lr: 2.0000e-04 eta: 0:49:18 time: 0.2189 data_time: 0.0147 memory: 11037 grad_norm: 10.8687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4167 loss: 1.4167 2022/08/08 16:12:27 - mmengine - INFO - Epoch(train) [33][80/673] lr: 2.0000e-04 eta: 0:49:13 time: 0.2237 data_time: 0.0125 memory: 11037 grad_norm: 11.2296 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1073 loss: 1.1073 2022/08/08 16:12:32 - mmengine - INFO - Epoch(train) [33][100/673] lr: 2.0000e-04 eta: 0:49:08 time: 0.2165 data_time: 0.0131 memory: 11037 grad_norm: 11.0166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/08/08 16:12:36 - mmengine - INFO - Epoch(train) [33][120/673] lr: 2.0000e-04 eta: 0:49:03 time: 0.2165 data_time: 0.0126 memory: 11037 grad_norm: 11.0572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3898 loss: 1.3898 2022/08/08 16:12:40 - mmengine - INFO - Epoch(train) [33][140/673] lr: 2.0000e-04 eta: 0:48:58 time: 0.2172 data_time: 0.0132 memory: 11037 grad_norm: 10.7584 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2466 loss: 1.2466 2022/08/08 16:12:45 - mmengine - INFO - Epoch(train) [33][160/673] lr: 2.0000e-04 eta: 0:48:52 time: 0.2164 data_time: 0.0126 memory: 11037 grad_norm: 11.3248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1454 loss: 1.1454 2022/08/08 16:12:49 - mmengine - INFO - Epoch(train) [33][180/673] lr: 2.0000e-04 eta: 0:48:47 time: 0.2226 data_time: 0.0134 memory: 11037 grad_norm: 11.1526 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3635 loss: 1.3635 2022/08/08 16:12:54 - mmengine - INFO - Epoch(train) [33][200/673] lr: 2.0000e-04 eta: 0:48:42 time: 0.2159 data_time: 0.0128 memory: 11037 grad_norm: 10.9551 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4701 loss: 1.4701 2022/08/08 16:12:58 - mmengine - INFO - Epoch(train) [33][220/673] lr: 2.0000e-04 eta: 0:48:37 time: 0.2428 data_time: 0.0147 memory: 11037 grad_norm: 10.9160 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3684 loss: 1.3684 2022/08/08 16:13:03 - mmengine - INFO - Epoch(train) [33][240/673] lr: 2.0000e-04 eta: 0:48:32 time: 0.2177 data_time: 0.0140 memory: 11037 grad_norm: 10.9907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1727 loss: 1.1727 2022/08/08 16:13:07 - mmengine - INFO - Epoch(train) [33][260/673] lr: 2.0000e-04 eta: 0:48:27 time: 0.2236 data_time: 0.0129 memory: 11037 grad_norm: 10.9900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/08/08 16:13:12 - mmengine - INFO - Epoch(train) [33][280/673] lr: 2.0000e-04 eta: 0:48:21 time: 0.2173 data_time: 0.0138 memory: 11037 grad_norm: 11.0270 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1073 loss: 1.1073 2022/08/08 16:13:16 - mmengine - INFO - Epoch(train) [33][300/673] lr: 2.0000e-04 eta: 0:48:16 time: 0.2171 data_time: 0.0129 memory: 11037 grad_norm: 11.1497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2209 loss: 1.2209 2022/08/08 16:13:20 - mmengine - INFO - Epoch(train) [33][320/673] lr: 2.0000e-04 eta: 0:48:11 time: 0.2176 data_time: 0.0130 memory: 11037 grad_norm: 11.2049 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1725 loss: 1.1725 2022/08/08 16:13:25 - mmengine - INFO - Epoch(train) [33][340/673] lr: 2.0000e-04 eta: 0:48:06 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 11.0185 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/08/08 16:13:29 - mmengine - INFO - Epoch(train) [33][360/673] lr: 2.0000e-04 eta: 0:48:01 time: 0.2212 data_time: 0.0132 memory: 11037 grad_norm: 10.6342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2434 loss: 1.2434 2022/08/08 16:13:33 - mmengine - INFO - Epoch(train) [33][380/673] lr: 2.0000e-04 eta: 0:47:55 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 11.0314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/08/08 16:13:38 - mmengine - INFO - Epoch(train) [33][400/673] lr: 2.0000e-04 eta: 0:47:50 time: 0.2225 data_time: 0.0134 memory: 11037 grad_norm: 11.1097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/08/08 16:13:42 - mmengine - INFO - Epoch(train) [33][420/673] lr: 2.0000e-04 eta: 0:47:45 time: 0.2170 data_time: 0.0131 memory: 11037 grad_norm: 10.8808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3902 loss: 1.3902 2022/08/08 16:13:47 - mmengine - INFO - Epoch(train) [33][440/673] lr: 2.0000e-04 eta: 0:47:40 time: 0.2205 data_time: 0.0129 memory: 11037 grad_norm: 11.2553 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3778 loss: 1.3778 2022/08/08 16:13:51 - mmengine - INFO - Epoch(train) [33][460/673] lr: 2.0000e-04 eta: 0:47:35 time: 0.2228 data_time: 0.0142 memory: 11037 grad_norm: 10.9048 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4309 loss: 1.4309 2022/08/08 16:13:52 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:13:55 - mmengine - INFO - Epoch(train) [33][480/673] lr: 2.0000e-04 eta: 0:47:30 time: 0.2173 data_time: 0.0149 memory: 11037 grad_norm: 10.7385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/08/08 16:14:00 - mmengine - INFO - Epoch(train) [33][500/673] lr: 2.0000e-04 eta: 0:47:24 time: 0.2176 data_time: 0.0123 memory: 11037 grad_norm: 11.2680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/08/08 16:14:04 - mmengine - INFO - Epoch(train) [33][520/673] lr: 2.0000e-04 eta: 0:47:19 time: 0.2166 data_time: 0.0144 memory: 11037 grad_norm: 11.2038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3753 loss: 1.3753 2022/08/08 16:14:09 - mmengine - INFO - Epoch(train) [33][540/673] lr: 2.0000e-04 eta: 0:47:14 time: 0.2232 data_time: 0.0139 memory: 11037 grad_norm: 10.7515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1740 loss: 1.1740 2022/08/08 16:14:13 - mmengine - INFO - Epoch(train) [33][560/673] lr: 2.0000e-04 eta: 0:47:09 time: 0.2181 data_time: 0.0142 memory: 11037 grad_norm: 11.2162 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2917 loss: 1.2917 2022/08/08 16:14:17 - mmengine - INFO - Epoch(train) [33][580/673] lr: 2.0000e-04 eta: 0:47:04 time: 0.2169 data_time: 0.0131 memory: 11037 grad_norm: 10.6618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3177 loss: 1.3177 2022/08/08 16:14:22 - mmengine - INFO - Epoch(train) [33][600/673] lr: 2.0000e-04 eta: 0:46:59 time: 0.2168 data_time: 0.0132 memory: 11037 grad_norm: 11.2322 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3577 loss: 1.3577 2022/08/08 16:14:26 - mmengine - INFO - Epoch(train) [33][620/673] lr: 2.0000e-04 eta: 0:46:53 time: 0.2171 data_time: 0.0128 memory: 11037 grad_norm: 11.1878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2733 loss: 1.2733 2022/08/08 16:14:31 - mmengine - INFO - Epoch(train) [33][640/673] lr: 2.0000e-04 eta: 0:46:48 time: 0.2325 data_time: 0.0160 memory: 11037 grad_norm: 11.1200 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2451 loss: 1.2451 2022/08/08 16:14:35 - mmengine - INFO - Epoch(train) [33][660/673] lr: 2.0000e-04 eta: 0:46:43 time: 0.2170 data_time: 0.0132 memory: 11037 grad_norm: 10.9811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3935 loss: 1.3935 2022/08/08 16:14:38 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:14:38 - mmengine - INFO - Epoch(train) [33][673/673] lr: 2.0000e-04 eta: 0:46:43 time: 0.2192 data_time: 0.0126 memory: 11037 grad_norm: 11.6797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/08/08 16:14:38 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/08 16:14:42 - mmengine - INFO - Epoch(val) [33][20/91] eta: 0:00:05 time: 0.0775 data_time: 0.0174 memory: 1858 2022/08/08 16:14:43 - mmengine - INFO - Epoch(val) [33][40/91] eta: 0:00:03 time: 0.0694 data_time: 0.0113 memory: 1858 2022/08/08 16:14:45 - mmengine - INFO - Epoch(val) [33][60/91] eta: 0:00:02 time: 0.0665 data_time: 0.0106 memory: 1858 2022/08/08 16:14:46 - mmengine - INFO - Epoch(val) [33][80/91] eta: 0:00:00 time: 0.0630 data_time: 0.0085 memory: 1858 2022/08/08 16:14:47 - mmengine - INFO - Epoch(val) [33][91/91] acc/top1: 0.3135 acc/top5: 0.6016 acc/mean1: 0.2799 2022/08/08 16:14:47 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:14:52 - mmengine - INFO - Epoch(train) [34][20/673] lr: 2.0000e-04 eta: 0:46:33 time: 0.2329 data_time: 0.0241 memory: 11037 grad_norm: 11.2696 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3410 loss: 1.3410 2022/08/08 16:14:56 - mmengine - INFO - Epoch(train) [34][40/673] lr: 2.0000e-04 eta: 0:46:28 time: 0.2174 data_time: 0.0137 memory: 11037 grad_norm: 11.3997 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2200 loss: 1.2200 2022/08/08 16:15:00 - mmengine - INFO - Epoch(train) [34][60/673] lr: 2.0000e-04 eta: 0:46:23 time: 0.2219 data_time: 0.0124 memory: 11037 grad_norm: 11.0946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2004 loss: 1.2004 2022/08/08 16:15:05 - mmengine - INFO - Epoch(train) [34][80/673] lr: 2.0000e-04 eta: 0:46:18 time: 0.2172 data_time: 0.0129 memory: 11037 grad_norm: 10.8748 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1658 loss: 1.1658 2022/08/08 16:15:09 - mmengine - INFO - Epoch(train) [34][100/673] lr: 2.0000e-04 eta: 0:46:13 time: 0.2232 data_time: 0.0147 memory: 11037 grad_norm: 11.2821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/08/08 16:15:14 - mmengine - INFO - Epoch(train) [34][120/673] lr: 2.0000e-04 eta: 0:46:08 time: 0.2164 data_time: 0.0117 memory: 11037 grad_norm: 11.2045 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2148 loss: 1.2148 2022/08/08 16:15:18 - mmengine - INFO - Epoch(train) [34][140/673] lr: 2.0000e-04 eta: 0:46:02 time: 0.2165 data_time: 0.0126 memory: 11037 grad_norm: 11.1202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3005 loss: 1.3005 2022/08/08 16:15:22 - mmengine - INFO - Epoch(train) [34][160/673] lr: 2.0000e-04 eta: 0:45:57 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 11.0148 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/08/08 16:15:27 - mmengine - INFO - Epoch(train) [34][180/673] lr: 2.0000e-04 eta: 0:45:52 time: 0.2160 data_time: 0.0123 memory: 11037 grad_norm: 10.8285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2607 loss: 1.2607 2022/08/08 16:15:31 - mmengine - INFO - Epoch(train) [34][200/673] lr: 2.0000e-04 eta: 0:45:47 time: 0.2217 data_time: 0.0131 memory: 11037 grad_norm: 11.1630 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1863 loss: 1.1863 2022/08/08 16:15:35 - mmengine - INFO - Epoch(train) [34][220/673] lr: 2.0000e-04 eta: 0:45:42 time: 0.2166 data_time: 0.0130 memory: 11037 grad_norm: 11.2722 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3752 loss: 1.3752 2022/08/08 16:15:40 - mmengine - INFO - Epoch(train) [34][240/673] lr: 2.0000e-04 eta: 0:45:37 time: 0.2169 data_time: 0.0126 memory: 11037 grad_norm: 11.2463 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2616 loss: 1.2616 2022/08/08 16:15:44 - mmengine - INFO - Epoch(train) [34][260/673] lr: 2.0000e-04 eta: 0:45:31 time: 0.2164 data_time: 0.0131 memory: 11037 grad_norm: 11.0962 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2543 loss: 1.2543 2022/08/08 16:15:48 - mmengine - INFO - Epoch(train) [34][280/673] lr: 2.0000e-04 eta: 0:45:26 time: 0.2195 data_time: 0.0136 memory: 11037 grad_norm: 10.9936 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/08/08 16:15:53 - mmengine - INFO - Epoch(train) [34][300/673] lr: 2.0000e-04 eta: 0:45:21 time: 0.2160 data_time: 0.0120 memory: 11037 grad_norm: 11.6010 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/08/08 16:15:57 - mmengine - INFO - Epoch(train) [34][320/673] lr: 2.0000e-04 eta: 0:45:16 time: 0.2201 data_time: 0.0133 memory: 11037 grad_norm: 11.1923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/08/08 16:16:01 - mmengine - INFO - Epoch(train) [34][340/673] lr: 2.0000e-04 eta: 0:45:11 time: 0.2162 data_time: 0.0129 memory: 11037 grad_norm: 11.2253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/08/08 16:16:06 - mmengine - INFO - Epoch(train) [34][360/673] lr: 2.0000e-04 eta: 0:45:06 time: 0.2158 data_time: 0.0134 memory: 11037 grad_norm: 10.9976 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2467 loss: 1.2467 2022/08/08 16:16:10 - mmengine - INFO - Epoch(train) [34][380/673] lr: 2.0000e-04 eta: 0:45:01 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 11.6034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/08/08 16:16:15 - mmengine - INFO - Epoch(train) [34][400/673] lr: 2.0000e-04 eta: 0:44:55 time: 0.2183 data_time: 0.0137 memory: 11037 grad_norm: 10.9737 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3514 loss: 1.3514 2022/08/08 16:16:19 - mmengine - INFO - Epoch(train) [34][420/673] lr: 2.0000e-04 eta: 0:44:50 time: 0.2215 data_time: 0.0117 memory: 11037 grad_norm: 11.3425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2327 loss: 1.2327 2022/08/08 16:16:23 - mmengine - INFO - Epoch(train) [34][440/673] lr: 2.0000e-04 eta: 0:44:45 time: 0.2164 data_time: 0.0130 memory: 11037 grad_norm: 11.4997 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5062 loss: 1.5062 2022/08/08 16:16:28 - mmengine - INFO - Epoch(train) [34][460/673] lr: 2.0000e-04 eta: 0:44:40 time: 0.2235 data_time: 0.0141 memory: 11037 grad_norm: 11.1774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/08/08 16:16:32 - mmengine - INFO - Epoch(train) [34][480/673] lr: 2.0000e-04 eta: 0:44:35 time: 0.2164 data_time: 0.0121 memory: 11037 grad_norm: 11.0297 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/08/08 16:16:36 - mmengine - INFO - Epoch(train) [34][500/673] lr: 2.0000e-04 eta: 0:44:30 time: 0.2161 data_time: 0.0126 memory: 11037 grad_norm: 11.6911 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3244 loss: 1.3244 2022/08/08 16:16:41 - mmengine - INFO - Epoch(train) [34][520/673] lr: 2.0000e-04 eta: 0:44:25 time: 0.2195 data_time: 0.0134 memory: 11037 grad_norm: 11.3685 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2110 loss: 1.2110 2022/08/08 16:16:45 - mmengine - INFO - Epoch(train) [34][540/673] lr: 2.0000e-04 eta: 0:44:20 time: 0.2168 data_time: 0.0118 memory: 11037 grad_norm: 11.4658 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3924 loss: 1.3924 2022/08/08 16:16:50 - mmengine - INFO - Epoch(train) [34][560/673] lr: 2.0000e-04 eta: 0:44:15 time: 0.2351 data_time: 0.0150 memory: 11037 grad_norm: 10.9007 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2312 loss: 1.2312 2022/08/08 16:16:54 - mmengine - INFO - Epoch(train) [34][580/673] lr: 2.0000e-04 eta: 0:44:09 time: 0.2175 data_time: 0.0134 memory: 11037 grad_norm: 11.0357 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1346 loss: 1.1346 2022/08/08 16:16:59 - mmengine - INFO - Epoch(train) [34][600/673] lr: 2.0000e-04 eta: 0:44:04 time: 0.2182 data_time: 0.0149 memory: 11037 grad_norm: 11.0321 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2726 loss: 1.2726 2022/08/08 16:17:03 - mmengine - INFO - Epoch(train) [34][620/673] lr: 2.0000e-04 eta: 0:43:59 time: 0.2162 data_time: 0.0128 memory: 11037 grad_norm: 11.4030 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2846 loss: 1.2846 2022/08/08 16:17:07 - mmengine - INFO - Epoch(train) [34][640/673] lr: 2.0000e-04 eta: 0:43:54 time: 0.2236 data_time: 0.0145 memory: 11037 grad_norm: 11.3276 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2414 loss: 1.2414 2022/08/08 16:17:12 - mmengine - INFO - Epoch(train) [34][660/673] lr: 2.0000e-04 eta: 0:43:49 time: 0.2169 data_time: 0.0130 memory: 11037 grad_norm: 11.1057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2259 loss: 1.2259 2022/08/08 16:17:14 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:17:14 - mmengine - INFO - Epoch(train) [34][673/673] lr: 2.0000e-04 eta: 0:43:49 time: 0.2101 data_time: 0.0130 memory: 11037 grad_norm: 13.3714 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2906 loss: 1.2906 2022/08/08 16:17:15 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/08/08 16:17:18 - mmengine - INFO - Epoch(val) [34][20/91] eta: 0:00:05 time: 0.0801 data_time: 0.0178 memory: 1858 2022/08/08 16:17:20 - mmengine - INFO - Epoch(val) [34][40/91] eta: 0:00:03 time: 0.0687 data_time: 0.0105 memory: 1858 2022/08/08 16:17:21 - mmengine - INFO - Epoch(val) [34][60/91] eta: 0:00:02 time: 0.0666 data_time: 0.0105 memory: 1858 2022/08/08 16:17:22 - mmengine - INFO - Epoch(val) [34][80/91] eta: 0:00:00 time: 0.0620 data_time: 0.0083 memory: 1858 2022/08/08 16:17:23 - mmengine - INFO - Epoch(val) [34][91/91] acc/top1: 0.3157 acc/top5: 0.6032 acc/mean1: 0.2838 2022/08/08 16:17:23 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:17:28 - mmengine - INFO - Epoch(train) [35][20/673] lr: 2.0000e-04 eta: 0:43:39 time: 0.2288 data_time: 0.0234 memory: 11037 grad_norm: 11.1278 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2221 loss: 1.2221 2022/08/08 16:17:32 - mmengine - INFO - Epoch(train) [35][40/673] lr: 2.0000e-04 eta: 0:43:34 time: 0.2158 data_time: 0.0135 memory: 11037 grad_norm: 11.6228 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1645 loss: 1.1645 2022/08/08 16:17:37 - mmengine - INFO - Epoch(train) [35][60/673] lr: 2.0000e-04 eta: 0:43:29 time: 0.2166 data_time: 0.0132 memory: 11037 grad_norm: 11.2922 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2605 loss: 1.2605 2022/08/08 16:17:41 - mmengine - INFO - Epoch(train) [35][80/673] lr: 2.0000e-04 eta: 0:43:24 time: 0.2183 data_time: 0.0128 memory: 11037 grad_norm: 11.5685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1238 loss: 1.1238 2022/08/08 16:17:45 - mmengine - INFO - Epoch(train) [35][100/673] lr: 2.0000e-04 eta: 0:43:19 time: 0.2171 data_time: 0.0145 memory: 11037 grad_norm: 11.1224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/08/08 16:17:49 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:17:50 - mmengine - INFO - Epoch(train) [35][120/673] lr: 2.0000e-04 eta: 0:43:14 time: 0.2225 data_time: 0.0133 memory: 11037 grad_norm: 11.4423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1479 loss: 1.1479 2022/08/08 16:17:54 - mmengine - INFO - Epoch(train) [35][140/673] lr: 2.0000e-04 eta: 0:43:09 time: 0.2154 data_time: 0.0125 memory: 11037 grad_norm: 11.6396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1969 loss: 1.1969 2022/08/08 16:17:59 - mmengine - INFO - Epoch(train) [35][160/673] lr: 2.0000e-04 eta: 0:43:04 time: 0.2267 data_time: 0.0151 memory: 11037 grad_norm: 11.1296 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3797 loss: 1.3797 2022/08/08 16:18:03 - mmengine - INFO - Epoch(train) [35][180/673] lr: 2.0000e-04 eta: 0:42:58 time: 0.2171 data_time: 0.0133 memory: 11037 grad_norm: 11.2275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/08 16:18:07 - mmengine - INFO - Epoch(train) [35][200/673] lr: 2.0000e-04 eta: 0:42:53 time: 0.2233 data_time: 0.0136 memory: 11037 grad_norm: 11.6638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/08/08 16:18:12 - mmengine - INFO - Epoch(train) [35][220/673] lr: 2.0000e-04 eta: 0:42:48 time: 0.2173 data_time: 0.0136 memory: 11037 grad_norm: 11.6280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/08/08 16:18:16 - mmengine - INFO - Epoch(train) [35][240/673] lr: 2.0000e-04 eta: 0:42:43 time: 0.2167 data_time: 0.0125 memory: 11037 grad_norm: 11.4228 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9631 loss: 0.9631 2022/08/08 16:18:20 - mmengine - INFO - Epoch(train) [35][260/673] lr: 2.0000e-04 eta: 0:42:38 time: 0.2180 data_time: 0.0133 memory: 11037 grad_norm: 11.2254 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2138 loss: 1.2138 2022/08/08 16:18:25 - mmengine - INFO - Epoch(train) [35][280/673] lr: 2.0000e-04 eta: 0:42:33 time: 0.2172 data_time: 0.0128 memory: 11037 grad_norm: 11.5045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3836 loss: 1.3836 2022/08/08 16:18:30 - mmengine - INFO - Epoch(train) [35][300/673] lr: 2.0000e-04 eta: 0:42:28 time: 0.2417 data_time: 0.0142 memory: 11037 grad_norm: 11.2780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/08/08 16:18:34 - mmengine - INFO - Epoch(train) [35][320/673] lr: 2.0000e-04 eta: 0:42:23 time: 0.2163 data_time: 0.0129 memory: 11037 grad_norm: 11.0847 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/08/08 16:18:38 - mmengine - INFO - Epoch(train) [35][340/673] lr: 2.0000e-04 eta: 0:42:18 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 11.1403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/08/08 16:18:43 - mmengine - INFO - Epoch(train) [35][360/673] lr: 2.0000e-04 eta: 0:42:13 time: 0.2159 data_time: 0.0122 memory: 11037 grad_norm: 10.7966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2332 loss: 1.2332 2022/08/08 16:18:47 - mmengine - INFO - Epoch(train) [35][380/673] lr: 2.0000e-04 eta: 0:42:08 time: 0.2206 data_time: 0.0131 memory: 11037 grad_norm: 11.4104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/08/08 16:18:52 - mmengine - INFO - Epoch(train) [35][400/673] lr: 2.0000e-04 eta: 0:42:03 time: 0.2267 data_time: 0.0136 memory: 11037 grad_norm: 11.5283 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2979 loss: 1.2979 2022/08/08 16:18:56 - mmengine - INFO - Epoch(train) [35][420/673] lr: 2.0000e-04 eta: 0:41:58 time: 0.2164 data_time: 0.0120 memory: 11037 grad_norm: 11.3816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1555 loss: 1.1555 2022/08/08 16:19:00 - mmengine - INFO - Epoch(train) [35][440/673] lr: 2.0000e-04 eta: 0:41:52 time: 0.2179 data_time: 0.0131 memory: 11037 grad_norm: 11.0296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2318 loss: 1.2318 2022/08/08 16:19:05 - mmengine - INFO - Epoch(train) [35][460/673] lr: 2.0000e-04 eta: 0:41:47 time: 0.2162 data_time: 0.0130 memory: 11037 grad_norm: 11.3868 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3910 loss: 1.3910 2022/08/08 16:19:09 - mmengine - INFO - Epoch(train) [35][480/673] lr: 2.0000e-04 eta: 0:41:42 time: 0.2369 data_time: 0.0142 memory: 11037 grad_norm: 11.7440 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2890 loss: 1.2890 2022/08/08 16:19:14 - mmengine - INFO - Epoch(train) [35][500/673] lr: 2.0000e-04 eta: 0:41:37 time: 0.2182 data_time: 0.0134 memory: 11037 grad_norm: 11.7601 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2474 loss: 1.2474 2022/08/08 16:19:18 - mmengine - INFO - Epoch(train) [35][520/673] lr: 2.0000e-04 eta: 0:41:32 time: 0.2168 data_time: 0.0136 memory: 11037 grad_norm: 11.3863 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/08/08 16:19:22 - mmengine - INFO - Epoch(train) [35][540/673] lr: 2.0000e-04 eta: 0:41:27 time: 0.2170 data_time: 0.0124 memory: 11037 grad_norm: 11.3167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1082 loss: 1.1082 2022/08/08 16:19:27 - mmengine - INFO - Epoch(train) [35][560/673] lr: 2.0000e-04 eta: 0:41:22 time: 0.2159 data_time: 0.0123 memory: 11037 grad_norm: 11.4842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/08/08 16:19:31 - mmengine - INFO - Epoch(train) [35][580/673] lr: 2.0000e-04 eta: 0:41:17 time: 0.2277 data_time: 0.0145 memory: 11037 grad_norm: 11.2053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/08/08 16:19:36 - mmengine - INFO - Epoch(train) [35][600/673] lr: 2.0000e-04 eta: 0:41:12 time: 0.2162 data_time: 0.0110 memory: 11037 grad_norm: 11.3077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/08/08 16:19:40 - mmengine - INFO - Epoch(train) [35][620/673] lr: 2.0000e-04 eta: 0:41:07 time: 0.2180 data_time: 0.0135 memory: 11037 grad_norm: 11.3548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3243 loss: 1.3243 2022/08/08 16:19:44 - mmengine - INFO - Epoch(train) [35][640/673] lr: 2.0000e-04 eta: 0:41:02 time: 0.2170 data_time: 0.0132 memory: 11037 grad_norm: 11.3055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/08/08 16:19:49 - mmengine - INFO - Epoch(train) [35][660/673] lr: 2.0000e-04 eta: 0:40:57 time: 0.2442 data_time: 0.0129 memory: 11037 grad_norm: 11.4366 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/08/08 16:19:52 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:19:52 - mmengine - INFO - Epoch(train) [35][673/673] lr: 2.0000e-04 eta: 0:40:57 time: 0.2364 data_time: 0.0149 memory: 11037 grad_norm: 13.5117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2190 loss: 1.2190 2022/08/08 16:19:52 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/08/08 16:19:55 - mmengine - INFO - Epoch(val) [35][20/91] eta: 0:00:06 time: 0.0863 data_time: 0.0257 memory: 1858 2022/08/08 16:19:57 - mmengine - INFO - Epoch(val) [35][40/91] eta: 0:00:03 time: 0.0685 data_time: 0.0106 memory: 1858 2022/08/08 16:19:58 - mmengine - INFO - Epoch(val) [35][60/91] eta: 0:00:02 time: 0.0667 data_time: 0.0102 memory: 1858 2022/08/08 16:19:59 - mmengine - INFO - Epoch(val) [35][80/91] eta: 0:00:00 time: 0.0635 data_time: 0.0087 memory: 1858 2022/08/08 16:20:01 - mmengine - INFO - Epoch(val) [35][91/91] acc/top1: 0.3131 acc/top5: 0.6041 acc/mean1: 0.2833 2022/08/08 16:20:01 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:20:05 - mmengine - INFO - Epoch(train) [36][20/673] lr: 2.0000e-04 eta: 0:40:47 time: 0.2293 data_time: 0.0199 memory: 11037 grad_norm: 11.4517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/08 16:20:10 - mmengine - INFO - Epoch(train) [36][40/673] lr: 2.0000e-04 eta: 0:40:42 time: 0.2205 data_time: 0.0140 memory: 11037 grad_norm: 11.2789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2728 loss: 1.2728 2022/08/08 16:20:14 - mmengine - INFO - Epoch(train) [36][60/673] lr: 2.0000e-04 eta: 0:40:37 time: 0.2164 data_time: 0.0139 memory: 11037 grad_norm: 11.2633 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0403 loss: 1.0403 2022/08/08 16:20:18 - mmengine - INFO - Epoch(train) [36][80/673] lr: 2.0000e-04 eta: 0:40:32 time: 0.2172 data_time: 0.0132 memory: 11037 grad_norm: 11.1676 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/08/08 16:20:23 - mmengine - INFO - Epoch(train) [36][100/673] lr: 2.0000e-04 eta: 0:40:27 time: 0.2174 data_time: 0.0131 memory: 11037 grad_norm: 11.3177 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3300 loss: 1.3300 2022/08/08 16:20:27 - mmengine - INFO - Epoch(train) [36][120/673] lr: 2.0000e-04 eta: 0:40:22 time: 0.2165 data_time: 0.0126 memory: 11037 grad_norm: 11.7578 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2208 loss: 1.2208 2022/08/08 16:20:31 - mmengine - INFO - Epoch(train) [36][140/673] lr: 2.0000e-04 eta: 0:40:17 time: 0.2228 data_time: 0.0159 memory: 11037 grad_norm: 11.5138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3812 loss: 1.3812 2022/08/08 16:20:36 - mmengine - INFO - Epoch(train) [36][160/673] lr: 2.0000e-04 eta: 0:40:12 time: 0.2171 data_time: 0.0137 memory: 11037 grad_norm: 11.1611 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0369 loss: 1.0369 2022/08/08 16:20:40 - mmengine - INFO - Epoch(train) [36][180/673] lr: 2.0000e-04 eta: 0:40:07 time: 0.2165 data_time: 0.0123 memory: 11037 grad_norm: 11.5634 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/08/08 16:20:44 - mmengine - INFO - Epoch(train) [36][200/673] lr: 2.0000e-04 eta: 0:40:02 time: 0.2165 data_time: 0.0133 memory: 11037 grad_norm: 11.4080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/08/08 16:20:49 - mmengine - INFO - Epoch(train) [36][220/673] lr: 2.0000e-04 eta: 0:39:57 time: 0.2219 data_time: 0.0143 memory: 11037 grad_norm: 11.2582 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3131 loss: 1.3131 2022/08/08 16:20:53 - mmengine - INFO - Epoch(train) [36][240/673] lr: 2.0000e-04 eta: 0:39:52 time: 0.2171 data_time: 0.0119 memory: 11037 grad_norm: 11.4242 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3107 loss: 1.3107 2022/08/08 16:20:58 - mmengine - INFO - Epoch(train) [36][260/673] lr: 2.0000e-04 eta: 0:39:47 time: 0.2189 data_time: 0.0126 memory: 11037 grad_norm: 11.6914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1005 loss: 1.1005 2022/08/08 16:21:02 - mmengine - INFO - Epoch(train) [36][280/673] lr: 2.0000e-04 eta: 0:39:42 time: 0.2160 data_time: 0.0132 memory: 11037 grad_norm: 10.9491 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1675 loss: 1.1675 2022/08/08 16:21:06 - mmengine - INFO - Epoch(train) [36][300/673] lr: 2.0000e-04 eta: 0:39:37 time: 0.2154 data_time: 0.0117 memory: 11037 grad_norm: 11.3168 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2290 loss: 1.2290 2022/08/08 16:21:11 - mmengine - INFO - Epoch(train) [36][320/673] lr: 2.0000e-04 eta: 0:39:31 time: 0.2203 data_time: 0.0136 memory: 11037 grad_norm: 11.3483 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/08/08 16:21:15 - mmengine - INFO - Epoch(train) [36][340/673] lr: 2.0000e-04 eta: 0:39:26 time: 0.2208 data_time: 0.0136 memory: 11037 grad_norm: 11.1925 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3582 loss: 1.3582 2022/08/08 16:21:20 - mmengine - INFO - Epoch(train) [36][360/673] lr: 2.0000e-04 eta: 0:39:21 time: 0.2266 data_time: 0.0132 memory: 11037 grad_norm: 11.1353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0584 loss: 1.0584 2022/08/08 16:21:24 - mmengine - INFO - Epoch(train) [36][380/673] lr: 2.0000e-04 eta: 0:39:16 time: 0.2147 data_time: 0.0138 memory: 11037 grad_norm: 11.5068 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2678 loss: 1.2678 2022/08/08 16:21:28 - mmengine - INFO - Epoch(train) [36][400/673] lr: 2.0000e-04 eta: 0:39:11 time: 0.2206 data_time: 0.0159 memory: 11037 grad_norm: 11.2600 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.2250 loss: 1.2250 2022/08/08 16:21:33 - mmengine - INFO - Epoch(train) [36][420/673] lr: 2.0000e-04 eta: 0:39:06 time: 0.2165 data_time: 0.0139 memory: 11037 grad_norm: 11.5950 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3332 loss: 1.3332 2022/08/08 16:21:37 - mmengine - INFO - Epoch(train) [36][440/673] lr: 2.0000e-04 eta: 0:39:01 time: 0.2155 data_time: 0.0133 memory: 11037 grad_norm: 11.3736 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2078 loss: 1.2078 2022/08/08 16:21:38 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:21:41 - mmengine - INFO - Epoch(train) [36][460/673] lr: 2.0000e-04 eta: 0:38:56 time: 0.2170 data_time: 0.0130 memory: 11037 grad_norm: 11.4684 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2150 loss: 1.2150 2022/08/08 16:21:46 - mmengine - INFO - Epoch(train) [36][480/673] lr: 2.0000e-04 eta: 0:38:51 time: 0.2153 data_time: 0.0126 memory: 11037 grad_norm: 11.5495 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3197 loss: 1.3197 2022/08/08 16:21:50 - mmengine - INFO - Epoch(train) [36][500/673] lr: 2.0000e-04 eta: 0:38:46 time: 0.2200 data_time: 0.0155 memory: 11037 grad_norm: 11.5573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2058 loss: 1.2058 2022/08/08 16:21:54 - mmengine - INFO - Epoch(train) [36][520/673] lr: 2.0000e-04 eta: 0:38:41 time: 0.2149 data_time: 0.0127 memory: 11037 grad_norm: 11.1617 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2281 loss: 1.2281 2022/08/08 16:21:59 - mmengine - INFO - Epoch(train) [36][540/673] lr: 2.0000e-04 eta: 0:38:36 time: 0.2151 data_time: 0.0134 memory: 11037 grad_norm: 11.5823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/08 16:22:03 - mmengine - INFO - Epoch(train) [36][560/673] lr: 2.0000e-04 eta: 0:38:31 time: 0.2170 data_time: 0.0127 memory: 11037 grad_norm: 11.7184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2707 loss: 1.2707 2022/08/08 16:22:07 - mmengine - INFO - Epoch(train) [36][580/673] lr: 2.0000e-04 eta: 0:38:26 time: 0.2180 data_time: 0.0125 memory: 11037 grad_norm: 11.5909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2061 loss: 1.2061 2022/08/08 16:22:12 - mmengine - INFO - Epoch(train) [36][600/673] lr: 2.0000e-04 eta: 0:38:21 time: 0.2171 data_time: 0.0138 memory: 11037 grad_norm: 11.4329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/08/08 16:22:16 - mmengine - INFO - Epoch(train) [36][620/673] lr: 2.0000e-04 eta: 0:38:16 time: 0.2171 data_time: 0.0122 memory: 11037 grad_norm: 11.6508 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1515 loss: 1.1515 2022/08/08 16:22:20 - mmengine - INFO - Epoch(train) [36][640/673] lr: 2.0000e-04 eta: 0:38:11 time: 0.2177 data_time: 0.0128 memory: 11037 grad_norm: 11.9811 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5122 loss: 1.5122 2022/08/08 16:22:25 - mmengine - INFO - Epoch(train) [36][660/673] lr: 2.0000e-04 eta: 0:38:06 time: 0.2152 data_time: 0.0132 memory: 11037 grad_norm: 11.6170 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3063 loss: 1.3063 2022/08/08 16:22:27 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:22:27 - mmengine - INFO - Epoch(train) [36][673/673] lr: 2.0000e-04 eta: 0:38:06 time: 0.2128 data_time: 0.0126 memory: 11037 grad_norm: 13.2350 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.3881 loss: 1.3881 2022/08/08 16:22:27 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/08 16:22:31 - mmengine - INFO - Epoch(val) [36][20/91] eta: 0:00:05 time: 0.0779 data_time: 0.0172 memory: 1858 2022/08/08 16:22:33 - mmengine - INFO - Epoch(val) [36][40/91] eta: 0:00:03 time: 0.0712 data_time: 0.0106 memory: 1858 2022/08/08 16:22:34 - mmengine - INFO - Epoch(val) [36][60/91] eta: 0:00:02 time: 0.0670 data_time: 0.0103 memory: 1858 2022/08/08 16:22:35 - mmengine - INFO - Epoch(val) [36][80/91] eta: 0:00:00 time: 0.0629 data_time: 0.0085 memory: 1858 2022/08/08 16:22:36 - mmengine - INFO - Epoch(val) [36][91/91] acc/top1: 0.3176 acc/top5: 0.6061 acc/mean1: 0.2850 2022/08/08 16:22:36 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:22:41 - mmengine - INFO - Epoch(train) [37][20/673] lr: 2.0000e-04 eta: 0:37:56 time: 0.2279 data_time: 0.0205 memory: 11037 grad_norm: 11.2163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/08/08 16:22:45 - mmengine - INFO - Epoch(train) [37][40/673] lr: 2.0000e-04 eta: 0:37:51 time: 0.2165 data_time: 0.0124 memory: 11037 grad_norm: 11.2916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/08/08 16:22:50 - mmengine - INFO - Epoch(train) [37][60/673] lr: 2.0000e-04 eta: 0:37:46 time: 0.2238 data_time: 0.0132 memory: 11037 grad_norm: 11.1550 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2891 loss: 1.2891 2022/08/08 16:22:54 - mmengine - INFO - Epoch(train) [37][80/673] lr: 2.0000e-04 eta: 0:37:41 time: 0.2155 data_time: 0.0152 memory: 11037 grad_norm: 11.8544 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2607 loss: 1.2607 2022/08/08 16:22:58 - mmengine - INFO - Epoch(train) [37][100/673] lr: 2.0000e-04 eta: 0:37:36 time: 0.2167 data_time: 0.0150 memory: 11037 grad_norm: 11.2209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1884 loss: 1.1884 2022/08/08 16:23:03 - mmengine - INFO - Epoch(train) [37][120/673] lr: 2.0000e-04 eta: 0:37:31 time: 0.2159 data_time: 0.0123 memory: 11037 grad_norm: 11.6583 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2911 loss: 1.2911 2022/08/08 16:23:07 - mmengine - INFO - Epoch(train) [37][140/673] lr: 2.0000e-04 eta: 0:37:26 time: 0.2158 data_time: 0.0129 memory: 11037 grad_norm: 11.5364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/08/08 16:23:11 - mmengine - INFO - Epoch(train) [37][160/673] lr: 2.0000e-04 eta: 0:37:21 time: 0.2230 data_time: 0.0157 memory: 11037 grad_norm: 11.4491 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2941 loss: 1.2941 2022/08/08 16:23:16 - mmengine - INFO - Epoch(train) [37][180/673] lr: 2.0000e-04 eta: 0:37:16 time: 0.2168 data_time: 0.0126 memory: 11037 grad_norm: 11.5181 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2585 loss: 1.2585 2022/08/08 16:23:20 - mmengine - INFO - Epoch(train) [37][200/673] lr: 2.0000e-04 eta: 0:37:11 time: 0.2148 data_time: 0.0124 memory: 11037 grad_norm: 11.7796 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3241 loss: 1.3241 2022/08/08 16:23:24 - mmengine - INFO - Epoch(train) [37][220/673] lr: 2.0000e-04 eta: 0:37:06 time: 0.2154 data_time: 0.0135 memory: 11037 grad_norm: 11.5720 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0368 loss: 1.0368 2022/08/08 16:23:29 - mmengine - INFO - Epoch(train) [37][240/673] lr: 2.0000e-04 eta: 0:37:01 time: 0.2385 data_time: 0.0136 memory: 11037 grad_norm: 11.6597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0602 loss: 1.0602 2022/08/08 16:23:33 - mmengine - INFO - Epoch(train) [37][260/673] lr: 2.0000e-04 eta: 0:36:56 time: 0.2170 data_time: 0.0132 memory: 11037 grad_norm: 11.7201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2594 loss: 1.2594 2022/08/08 16:23:38 - mmengine - INFO - Epoch(train) [37][280/673] lr: 2.0000e-04 eta: 0:36:51 time: 0.2183 data_time: 0.0136 memory: 11037 grad_norm: 11.4737 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1548 loss: 1.1548 2022/08/08 16:23:42 - mmengine - INFO - Epoch(train) [37][300/673] lr: 2.0000e-04 eta: 0:36:46 time: 0.2170 data_time: 0.0126 memory: 11037 grad_norm: 11.8006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2282 loss: 1.2282 2022/08/08 16:23:47 - mmengine - INFO - Epoch(train) [37][320/673] lr: 2.0000e-04 eta: 0:36:41 time: 0.2164 data_time: 0.0135 memory: 11037 grad_norm: 11.7751 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0758 loss: 1.0758 2022/08/08 16:23:51 - mmengine - INFO - Epoch(train) [37][340/673] lr: 2.0000e-04 eta: 0:36:36 time: 0.2375 data_time: 0.0156 memory: 11037 grad_norm: 11.9020 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2889 loss: 1.2889 2022/08/08 16:23:56 - mmengine - INFO - Epoch(train) [37][360/673] lr: 2.0000e-04 eta: 0:36:31 time: 0.2173 data_time: 0.0137 memory: 11037 grad_norm: 11.6920 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/08/08 16:24:00 - mmengine - INFO - Epoch(train) [37][380/673] lr: 2.0000e-04 eta: 0:36:26 time: 0.2190 data_time: 0.0146 memory: 11037 grad_norm: 11.6713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1287 loss: 1.1287 2022/08/08 16:24:04 - mmengine - INFO - Epoch(train) [37][400/673] lr: 2.0000e-04 eta: 0:36:21 time: 0.2171 data_time: 0.0132 memory: 11037 grad_norm: 11.1932 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2247 loss: 1.2247 2022/08/08 16:24:09 - mmengine - INFO - Epoch(train) [37][420/673] lr: 2.0000e-04 eta: 0:36:16 time: 0.2208 data_time: 0.0121 memory: 11037 grad_norm: 12.0086 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.2116 loss: 1.2116 2022/08/08 16:24:13 - mmengine - INFO - Epoch(train) [37][440/673] lr: 2.0000e-04 eta: 0:36:11 time: 0.2174 data_time: 0.0135 memory: 11037 grad_norm: 11.7279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2131 loss: 1.2131 2022/08/08 16:24:17 - mmengine - INFO - Epoch(train) [37][460/673] lr: 2.0000e-04 eta: 0:36:06 time: 0.2171 data_time: 0.0133 memory: 11037 grad_norm: 11.3729 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2074 loss: 1.2074 2022/08/08 16:24:22 - mmengine - INFO - Epoch(train) [37][480/673] lr: 2.0000e-04 eta: 0:36:01 time: 0.2174 data_time: 0.0127 memory: 11037 grad_norm: 11.8060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/08/08 16:24:26 - mmengine - INFO - Epoch(train) [37][500/673] lr: 2.0000e-04 eta: 0:35:56 time: 0.2168 data_time: 0.0139 memory: 11037 grad_norm: 11.5196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1073 loss: 1.1073 2022/08/08 16:24:31 - mmengine - INFO - Epoch(train) [37][520/673] lr: 2.0000e-04 eta: 0:35:51 time: 0.2204 data_time: 0.0132 memory: 11037 grad_norm: 11.2917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2303 loss: 1.2303 2022/08/08 16:24:35 - mmengine - INFO - Epoch(train) [37][540/673] lr: 2.0000e-04 eta: 0:35:46 time: 0.2171 data_time: 0.0131 memory: 11037 grad_norm: 11.8382 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3353 loss: 1.3353 2022/08/08 16:24:40 - mmengine - INFO - Epoch(train) [37][560/673] lr: 2.0000e-04 eta: 0:35:41 time: 0.2372 data_time: 0.0160 memory: 11037 grad_norm: 10.9718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/08 16:24:44 - mmengine - INFO - Epoch(train) [37][580/673] lr: 2.0000e-04 eta: 0:35:36 time: 0.2181 data_time: 0.0156 memory: 11037 grad_norm: 11.7059 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1853 loss: 1.1853 2022/08/08 16:24:48 - mmengine - INFO - Epoch(train) [37][600/673] lr: 2.0000e-04 eta: 0:35:31 time: 0.2167 data_time: 0.0132 memory: 11037 grad_norm: 11.8930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/08/08 16:24:53 - mmengine - INFO - Epoch(train) [37][620/673] lr: 2.0000e-04 eta: 0:35:26 time: 0.2171 data_time: 0.0138 memory: 11037 grad_norm: 11.9204 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2642 loss: 1.2642 2022/08/08 16:24:57 - mmengine - INFO - Epoch(train) [37][640/673] lr: 2.0000e-04 eta: 0:35:21 time: 0.2167 data_time: 0.0126 memory: 11037 grad_norm: 11.5066 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2952 loss: 1.2952 2022/08/08 16:25:02 - mmengine - INFO - Epoch(train) [37][660/673] lr: 2.0000e-04 eta: 0:35:16 time: 0.2265 data_time: 0.0136 memory: 11037 grad_norm: 11.4229 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1874 loss: 1.1874 2022/08/08 16:25:04 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:25:04 - mmengine - INFO - Epoch(train) [37][673/673] lr: 2.0000e-04 eta: 0:35:16 time: 0.2127 data_time: 0.0131 memory: 11037 grad_norm: 13.0478 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/08/08 16:25:04 - mmengine - INFO - Saving checkpoint at 37 epochs 2022/08/08 16:25:08 - mmengine - INFO - Epoch(val) [37][20/91] eta: 0:00:05 time: 0.0802 data_time: 0.0193 memory: 1858 2022/08/08 16:25:09 - mmengine - INFO - Epoch(val) [37][40/91] eta: 0:00:03 time: 0.0694 data_time: 0.0114 memory: 1858 2022/08/08 16:25:11 - mmengine - INFO - Epoch(val) [37][60/91] eta: 0:00:02 time: 0.0675 data_time: 0.0114 memory: 1858 2022/08/08 16:25:12 - mmengine - INFO - Epoch(val) [37][80/91] eta: 0:00:00 time: 0.0632 data_time: 0.0089 memory: 1858 2022/08/08 16:25:13 - mmengine - INFO - Epoch(val) [37][91/91] acc/top1: 0.3116 acc/top5: 0.6061 acc/mean1: 0.2783 2022/08/08 16:25:13 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:25:18 - mmengine - INFO - Epoch(train) [38][20/673] lr: 2.0000e-04 eta: 0:35:07 time: 0.2415 data_time: 0.0277 memory: 11037 grad_norm: 11.1374 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1371 loss: 1.1371 2022/08/08 16:25:23 - mmengine - INFO - Epoch(train) [38][40/673] lr: 2.0000e-04 eta: 0:35:02 time: 0.2154 data_time: 0.0125 memory: 11037 grad_norm: 11.3359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1698 loss: 1.1698 2022/08/08 16:25:27 - mmengine - INFO - Epoch(train) [38][60/673] lr: 2.0000e-04 eta: 0:34:57 time: 0.2165 data_time: 0.0129 memory: 11037 grad_norm: 11.5101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4226 loss: 1.4226 2022/08/08 16:25:32 - mmengine - INFO - Epoch(train) [38][80/673] lr: 2.0000e-04 eta: 0:34:52 time: 0.2433 data_time: 0.0140 memory: 11037 grad_norm: 11.4670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2089 loss: 1.2089 2022/08/08 16:25:36 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:25:36 - mmengine - INFO - Epoch(train) [38][100/673] lr: 2.0000e-04 eta: 0:34:47 time: 0.2170 data_time: 0.0135 memory: 11037 grad_norm: 11.8226 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1821 loss: 1.1821 2022/08/08 16:25:40 - mmengine - INFO - Epoch(train) [38][120/673] lr: 2.0000e-04 eta: 0:34:42 time: 0.2171 data_time: 0.0124 memory: 11037 grad_norm: 11.7721 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4160 loss: 1.4160 2022/08/08 16:25:45 - mmengine - INFO - Epoch(train) [38][140/673] lr: 2.0000e-04 eta: 0:34:37 time: 0.2183 data_time: 0.0139 memory: 11037 grad_norm: 11.7823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2074 loss: 1.2074 2022/08/08 16:25:49 - mmengine - INFO - Epoch(train) [38][160/673] lr: 2.0000e-04 eta: 0:34:33 time: 0.2291 data_time: 0.0143 memory: 11037 grad_norm: 11.9922 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1308 loss: 1.1308 2022/08/08 16:25:54 - mmengine - INFO - Epoch(train) [38][180/673] lr: 2.0000e-04 eta: 0:34:28 time: 0.2155 data_time: 0.0136 memory: 11037 grad_norm: 11.2293 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/08/08 16:25:58 - mmengine - INFO - Epoch(train) [38][200/673] lr: 2.0000e-04 eta: 0:34:23 time: 0.2194 data_time: 0.0137 memory: 11037 grad_norm: 11.6530 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2576 loss: 1.2576 2022/08/08 16:26:02 - mmengine - INFO - Epoch(train) [38][220/673] lr: 2.0000e-04 eta: 0:34:18 time: 0.2168 data_time: 0.0130 memory: 11037 grad_norm: 11.7870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4568 loss: 1.4568 2022/08/08 16:26:07 - mmengine - INFO - Epoch(train) [38][240/673] lr: 2.0000e-04 eta: 0:34:13 time: 0.2157 data_time: 0.0133 memory: 11037 grad_norm: 11.7243 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/08/08 16:26:11 - mmengine - INFO - Epoch(train) [38][260/673] lr: 2.0000e-04 eta: 0:34:08 time: 0.2230 data_time: 0.0168 memory: 11037 grad_norm: 11.6267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1656 loss: 1.1656 2022/08/08 16:26:16 - mmengine - INFO - Epoch(train) [38][280/673] lr: 2.0000e-04 eta: 0:34:03 time: 0.2168 data_time: 0.0144 memory: 11037 grad_norm: 11.7050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/08/08 16:26:20 - mmengine - INFO - Epoch(train) [38][300/673] lr: 2.0000e-04 eta: 0:33:58 time: 0.2178 data_time: 0.0130 memory: 11037 grad_norm: 11.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/08/08 16:26:24 - mmengine - INFO - Epoch(train) [38][320/673] lr: 2.0000e-04 eta: 0:33:53 time: 0.2147 data_time: 0.0133 memory: 11037 grad_norm: 12.2304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2715 loss: 1.2715 2022/08/08 16:26:29 - mmengine - INFO - Epoch(train) [38][340/673] lr: 2.0000e-04 eta: 0:33:48 time: 0.2237 data_time: 0.0146 memory: 11037 grad_norm: 11.2548 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9612 loss: 0.9612 2022/08/08 16:26:33 - mmengine - INFO - Epoch(train) [38][360/673] lr: 2.0000e-04 eta: 0:33:43 time: 0.2157 data_time: 0.0147 memory: 11037 grad_norm: 11.6878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2364 loss: 1.2364 2022/08/08 16:26:37 - mmengine - INFO - Epoch(train) [38][380/673] lr: 2.0000e-04 eta: 0:33:38 time: 0.2170 data_time: 0.0139 memory: 11037 grad_norm: 11.6713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1878 loss: 1.1878 2022/08/08 16:26:42 - mmengine - INFO - Epoch(train) [38][400/673] lr: 2.0000e-04 eta: 0:33:33 time: 0.2161 data_time: 0.0130 memory: 11037 grad_norm: 11.6202 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2273 loss: 1.2273 2022/08/08 16:26:46 - mmengine - INFO - Epoch(train) [38][420/673] lr: 2.0000e-04 eta: 0:33:28 time: 0.2161 data_time: 0.0124 memory: 11037 grad_norm: 11.8555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3181 loss: 1.3181 2022/08/08 16:26:51 - mmengine - INFO - Epoch(train) [38][440/673] lr: 2.0000e-04 eta: 0:33:23 time: 0.2407 data_time: 0.0141 memory: 11037 grad_norm: 11.6840 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/08 16:26:55 - mmengine - INFO - Epoch(train) [38][460/673] lr: 2.0000e-04 eta: 0:33:18 time: 0.2175 data_time: 0.0135 memory: 11037 grad_norm: 11.5583 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/08/08 16:27:00 - mmengine - INFO - Epoch(train) [38][480/673] lr: 2.0000e-04 eta: 0:33:13 time: 0.2178 data_time: 0.0140 memory: 11037 grad_norm: 11.3461 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1190 loss: 1.1190 2022/08/08 16:27:04 - mmengine - INFO - Epoch(train) [38][500/673] lr: 2.0000e-04 eta: 0:33:08 time: 0.2195 data_time: 0.0148 memory: 11037 grad_norm: 11.8301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2659 loss: 1.2659 2022/08/08 16:27:08 - mmengine - INFO - Epoch(train) [38][520/673] lr: 2.0000e-04 eta: 0:33:03 time: 0.2226 data_time: 0.0150 memory: 11037 grad_norm: 12.0569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/08/08 16:27:13 - mmengine - INFO - Epoch(train) [38][540/673] lr: 2.0000e-04 eta: 0:32:58 time: 0.2179 data_time: 0.0127 memory: 11037 grad_norm: 11.5474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3870 loss: 1.3870 2022/08/08 16:27:17 - mmengine - INFO - Epoch(train) [38][560/673] lr: 2.0000e-04 eta: 0:32:53 time: 0.2150 data_time: 0.0124 memory: 11037 grad_norm: 11.7799 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0239 loss: 1.0239 2022/08/08 16:27:21 - mmengine - INFO - Epoch(train) [38][580/673] lr: 2.0000e-04 eta: 0:32:48 time: 0.2208 data_time: 0.0136 memory: 11037 grad_norm: 12.0236 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3724 loss: 1.3724 2022/08/08 16:27:26 - mmengine - INFO - Epoch(train) [38][600/673] lr: 2.0000e-04 eta: 0:32:43 time: 0.2156 data_time: 0.0127 memory: 11037 grad_norm: 11.6458 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2906 loss: 1.2906 2022/08/08 16:27:30 - mmengine - INFO - Epoch(train) [38][620/673] lr: 2.0000e-04 eta: 0:32:38 time: 0.2158 data_time: 0.0125 memory: 11037 grad_norm: 11.8048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/08/08 16:27:34 - mmengine - INFO - Epoch(train) [38][640/673] lr: 2.0000e-04 eta: 0:32:33 time: 0.2159 data_time: 0.0130 memory: 11037 grad_norm: 11.5593 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/08/08 16:27:42 - mmengine - INFO - Epoch(train) [38][660/673] lr: 2.0000e-04 eta: 0:32:29 time: 0.3664 data_time: 0.0135 memory: 11037 grad_norm: 11.6683 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2584 loss: 1.2584 2022/08/08 16:27:44 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:27:44 - mmengine - INFO - Epoch(train) [38][673/673] lr: 2.0000e-04 eta: 0:32:29 time: 0.3641 data_time: 0.0166 memory: 11037 grad_norm: 13.0566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/08/08 16:27:45 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/08/08 16:27:48 - mmengine - INFO - Epoch(val) [38][20/91] eta: 0:00:05 time: 0.0768 data_time: 0.0171 memory: 1858 2022/08/08 16:27:50 - mmengine - INFO - Epoch(val) [38][40/91] eta: 0:00:03 time: 0.0730 data_time: 0.0124 memory: 1858 2022/08/08 16:27:51 - mmengine - INFO - Epoch(val) [38][60/91] eta: 0:00:02 time: 0.0671 data_time: 0.0111 memory: 1858 2022/08/08 16:27:52 - mmengine - INFO - Epoch(val) [38][80/91] eta: 0:00:00 time: 0.0627 data_time: 0.0085 memory: 1858 2022/08/08 16:27:53 - mmengine - INFO - Epoch(val) [38][91/91] acc/top1: 0.3118 acc/top5: 0.6032 acc/mean1: 0.2776 2022/08/08 16:27:53 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:27:58 - mmengine - INFO - Epoch(train) [39][20/673] lr: 2.0000e-04 eta: 0:32:20 time: 0.2485 data_time: 0.0330 memory: 11037 grad_norm: 11.6848 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1679 loss: 1.1679 2022/08/08 16:28:03 - mmengine - INFO - Epoch(train) [39][40/673] lr: 2.0000e-04 eta: 0:32:15 time: 0.2172 data_time: 0.0129 memory: 11037 grad_norm: 11.8172 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/08 16:28:07 - mmengine - INFO - Epoch(train) [39][60/673] lr: 2.0000e-04 eta: 0:32:10 time: 0.2150 data_time: 0.0130 memory: 11037 grad_norm: 11.6604 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1383 loss: 1.1383 2022/08/08 16:28:12 - mmengine - INFO - Epoch(train) [39][80/673] lr: 2.0000e-04 eta: 0:32:05 time: 0.2335 data_time: 0.0138 memory: 11037 grad_norm: 11.8598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0990 loss: 1.0990 2022/08/08 16:28:16 - mmengine - INFO - Epoch(train) [39][100/673] lr: 2.0000e-04 eta: 0:32:01 time: 0.2174 data_time: 0.0130 memory: 11037 grad_norm: 11.6692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/08/08 16:28:20 - mmengine - INFO - Epoch(train) [39][120/673] lr: 2.0000e-04 eta: 0:31:56 time: 0.2181 data_time: 0.0131 memory: 11037 grad_norm: 11.9411 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2743 loss: 1.2743 2022/08/08 16:28:25 - mmengine - INFO - Epoch(train) [39][140/673] lr: 2.0000e-04 eta: 0:31:51 time: 0.2156 data_time: 0.0137 memory: 11037 grad_norm: 11.5956 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1607 loss: 1.1607 2022/08/08 16:28:29 - mmengine - INFO - Epoch(train) [39][160/673] lr: 2.0000e-04 eta: 0:31:46 time: 0.2199 data_time: 0.0125 memory: 11037 grad_norm: 11.4999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/08 16:28:33 - mmengine - INFO - Epoch(train) [39][180/673] lr: 2.0000e-04 eta: 0:31:41 time: 0.2147 data_time: 0.0125 memory: 11037 grad_norm: 11.8082 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1811 loss: 1.1811 2022/08/08 16:28:38 - mmengine - INFO - Epoch(train) [39][200/673] lr: 2.0000e-04 eta: 0:31:36 time: 0.2174 data_time: 0.0137 memory: 11037 grad_norm: 12.1267 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3406 loss: 1.3406 2022/08/08 16:28:42 - mmengine - INFO - Epoch(train) [39][220/673] lr: 2.0000e-04 eta: 0:31:31 time: 0.2193 data_time: 0.0140 memory: 11037 grad_norm: 11.9637 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2561 loss: 1.2561 2022/08/08 16:28:46 - mmengine - INFO - Epoch(train) [39][240/673] lr: 2.0000e-04 eta: 0:31:26 time: 0.2158 data_time: 0.0126 memory: 11037 grad_norm: 11.4215 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1640 loss: 1.1640 2022/08/08 16:28:51 - mmengine - INFO - Epoch(train) [39][260/673] lr: 2.0000e-04 eta: 0:31:21 time: 0.2206 data_time: 0.0135 memory: 11037 grad_norm: 11.8156 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3012 loss: 1.3012 2022/08/08 16:28:55 - mmengine - INFO - Epoch(train) [39][280/673] lr: 2.0000e-04 eta: 0:31:16 time: 0.2174 data_time: 0.0129 memory: 11037 grad_norm: 11.9769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/08/08 16:29:00 - mmengine - INFO - Epoch(train) [39][300/673] lr: 2.0000e-04 eta: 0:31:11 time: 0.2205 data_time: 0.0144 memory: 11037 grad_norm: 12.2007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3536 loss: 1.3536 2022/08/08 16:29:04 - mmengine - INFO - Epoch(train) [39][320/673] lr: 2.0000e-04 eta: 0:31:06 time: 0.2177 data_time: 0.0134 memory: 11037 grad_norm: 11.9052 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1236 loss: 1.1236 2022/08/08 16:29:08 - mmengine - INFO - Epoch(train) [39][340/673] lr: 2.0000e-04 eta: 0:31:01 time: 0.2159 data_time: 0.0148 memory: 11037 grad_norm: 12.2290 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1484 loss: 1.1484 2022/08/08 16:29:13 - mmengine - INFO - Epoch(train) [39][360/673] lr: 2.0000e-04 eta: 0:30:56 time: 0.2153 data_time: 0.0135 memory: 11037 grad_norm: 11.6878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/08/08 16:29:17 - mmengine - INFO - Epoch(train) [39][380/673] lr: 2.0000e-04 eta: 0:30:51 time: 0.2154 data_time: 0.0129 memory: 11037 grad_norm: 11.6775 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3027 loss: 1.3027 2022/08/08 16:29:22 - mmengine - INFO - Epoch(train) [39][400/673] lr: 2.0000e-04 eta: 0:30:46 time: 0.2314 data_time: 0.0155 memory: 11037 grad_norm: 12.2625 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/08/08 16:29:26 - mmengine - INFO - Epoch(train) [39][420/673] lr: 2.0000e-04 eta: 0:30:41 time: 0.2160 data_time: 0.0110 memory: 11037 grad_norm: 11.6344 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0175 loss: 1.0175 2022/08/08 16:29:27 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:29:30 - mmengine - INFO - Epoch(train) [39][440/673] lr: 2.0000e-04 eta: 0:30:36 time: 0.2179 data_time: 0.0135 memory: 11037 grad_norm: 11.4354 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1236 loss: 1.1236 2022/08/08 16:29:35 - mmengine - INFO - Epoch(train) [39][460/673] lr: 2.0000e-04 eta: 0:30:31 time: 0.2163 data_time: 0.0122 memory: 11037 grad_norm: 12.1146 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/08/08 16:29:39 - mmengine - INFO - Epoch(train) [39][480/673] lr: 2.0000e-04 eta: 0:30:27 time: 0.2409 data_time: 0.0151 memory: 11037 grad_norm: 11.7070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2069 loss: 1.2069 2022/08/08 16:29:44 - mmengine - INFO - Epoch(train) [39][500/673] lr: 2.0000e-04 eta: 0:30:22 time: 0.2184 data_time: 0.0140 memory: 11037 grad_norm: 12.0462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/08/08 16:29:48 - mmengine - INFO - Epoch(train) [39][520/673] lr: 2.0000e-04 eta: 0:30:17 time: 0.2172 data_time: 0.0125 memory: 11037 grad_norm: 11.8665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/08/08 16:29:52 - mmengine - INFO - Epoch(train) [39][540/673] lr: 2.0000e-04 eta: 0:30:12 time: 0.2179 data_time: 0.0130 memory: 11037 grad_norm: 11.9308 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1694 loss: 1.1694 2022/08/08 16:29:57 - mmengine - INFO - Epoch(train) [39][560/673] lr: 2.0000e-04 eta: 0:30:07 time: 0.2178 data_time: 0.0135 memory: 11037 grad_norm: 11.6113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/08/08 16:30:01 - mmengine - INFO - Epoch(train) [39][580/673] lr: 2.0000e-04 eta: 0:30:02 time: 0.2205 data_time: 0.0139 memory: 11037 grad_norm: 11.8106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/08/08 16:30:06 - mmengine - INFO - Epoch(train) [39][600/673] lr: 2.0000e-04 eta: 0:29:57 time: 0.2178 data_time: 0.0162 memory: 11037 grad_norm: 11.8610 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1151 loss: 1.1151 2022/08/08 16:30:10 - mmengine - INFO - Epoch(train) [39][620/673] lr: 2.0000e-04 eta: 0:29:52 time: 0.2182 data_time: 0.0130 memory: 11037 grad_norm: 11.9258 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2070 loss: 1.2070 2022/08/08 16:30:14 - mmengine - INFO - Epoch(train) [39][640/673] lr: 2.0000e-04 eta: 0:29:47 time: 0.2183 data_time: 0.0134 memory: 11037 grad_norm: 12.0264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1013 loss: 1.1013 2022/08/08 16:30:19 - mmengine - INFO - Epoch(train) [39][660/673] lr: 2.0000e-04 eta: 0:29:42 time: 0.2358 data_time: 0.0143 memory: 11037 grad_norm: 11.9598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1312 loss: 1.1312 2022/08/08 16:30:22 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:30:22 - mmengine - INFO - Epoch(train) [39][673/673] lr: 2.0000e-04 eta: 0:29:42 time: 0.2271 data_time: 0.0151 memory: 11037 grad_norm: 14.9857 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.3416 loss: 1.3416 2022/08/08 16:30:22 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/08 16:30:25 - mmengine - INFO - Epoch(val) [39][20/91] eta: 0:00:05 time: 0.0771 data_time: 0.0169 memory: 1858 2022/08/08 16:30:27 - mmengine - INFO - Epoch(val) [39][40/91] eta: 0:00:03 time: 0.0682 data_time: 0.0109 memory: 1858 2022/08/08 16:30:28 - mmengine - INFO - Epoch(val) [39][60/91] eta: 0:00:02 time: 0.0666 data_time: 0.0102 memory: 1858 2022/08/08 16:30:29 - mmengine - INFO - Epoch(val) [39][80/91] eta: 0:00:00 time: 0.0632 data_time: 0.0085 memory: 1858 2022/08/08 16:30:30 - mmengine - INFO - Epoch(val) [39][91/91] acc/top1: 0.3088 acc/top5: 0.5995 acc/mean1: 0.2806 2022/08/08 16:30:31 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:30:35 - mmengine - INFO - Epoch(train) [40][20/673] lr: 2.0000e-04 eta: 0:29:33 time: 0.2258 data_time: 0.0191 memory: 11037 grad_norm: 11.1971 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3794 loss: 1.3794 2022/08/08 16:30:39 - mmengine - INFO - Epoch(train) [40][40/673] lr: 2.0000e-04 eta: 0:29:28 time: 0.2198 data_time: 0.0140 memory: 11037 grad_norm: 11.4944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/08/08 16:30:44 - mmengine - INFO - Epoch(train) [40][60/673] lr: 2.0000e-04 eta: 0:29:24 time: 0.2178 data_time: 0.0141 memory: 11037 grad_norm: 11.5627 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2596 loss: 1.2596 2022/08/08 16:30:49 - mmengine - INFO - Epoch(train) [40][80/673] lr: 2.0000e-04 eta: 0:29:19 time: 0.2477 data_time: 0.0137 memory: 11037 grad_norm: 12.4572 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/08/08 16:30:54 - mmengine - INFO - Epoch(train) [40][100/673] lr: 2.0000e-04 eta: 0:29:14 time: 0.2589 data_time: 0.0139 memory: 11037 grad_norm: 11.6388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/08/08 16:30:58 - mmengine - INFO - Epoch(train) [40][120/673] lr: 2.0000e-04 eta: 0:29:09 time: 0.2203 data_time: 0.0137 memory: 11037 grad_norm: 11.8939 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3058 loss: 1.3058 2022/08/08 16:31:03 - mmengine - INFO - Epoch(train) [40][140/673] lr: 2.0000e-04 eta: 0:29:04 time: 0.2180 data_time: 0.0144 memory: 11037 grad_norm: 11.6119 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0607 loss: 1.0607 2022/08/08 16:31:07 - mmengine - INFO - Epoch(train) [40][160/673] lr: 2.0000e-04 eta: 0:28:59 time: 0.2173 data_time: 0.0118 memory: 11037 grad_norm: 12.0973 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2442 loss: 1.2442 2022/08/08 16:31:11 - mmengine - INFO - Epoch(train) [40][180/673] lr: 2.0000e-04 eta: 0:28:54 time: 0.2171 data_time: 0.0168 memory: 11037 grad_norm: 12.0435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0590 loss: 1.0590 2022/08/08 16:31:16 - mmengine - INFO - Epoch(train) [40][200/673] lr: 2.0000e-04 eta: 0:28:49 time: 0.2167 data_time: 0.0117 memory: 11037 grad_norm: 11.9548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1585 loss: 1.1585 2022/08/08 16:31:20 - mmengine - INFO - Epoch(train) [40][220/673] lr: 2.0000e-04 eta: 0:28:45 time: 0.2228 data_time: 0.0143 memory: 11037 grad_norm: 11.5607 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2414 loss: 1.2414 2022/08/08 16:31:25 - mmengine - INFO - Epoch(train) [40][240/673] lr: 2.0000e-04 eta: 0:28:40 time: 0.2167 data_time: 0.0155 memory: 11037 grad_norm: 12.2807 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/08/08 16:31:29 - mmengine - INFO - Epoch(train) [40][260/673] lr: 2.0000e-04 eta: 0:28:35 time: 0.2186 data_time: 0.0126 memory: 11037 grad_norm: 11.5072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1868 loss: 1.1868 2022/08/08 16:31:33 - mmengine - INFO - Epoch(train) [40][280/673] lr: 2.0000e-04 eta: 0:28:30 time: 0.2160 data_time: 0.0142 memory: 11037 grad_norm: 11.7851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2147 loss: 1.2147 2022/08/08 16:31:38 - mmengine - INFO - Epoch(train) [40][300/673] lr: 2.0000e-04 eta: 0:28:25 time: 0.2161 data_time: 0.0132 memory: 11037 grad_norm: 11.9430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2659 loss: 1.2659 2022/08/08 16:31:43 - mmengine - INFO - Epoch(train) [40][320/673] lr: 2.0000e-04 eta: 0:28:20 time: 0.2496 data_time: 0.0157 memory: 11037 grad_norm: 11.6650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/08/08 16:31:47 - mmengine - INFO - Epoch(train) [40][340/673] lr: 2.0000e-04 eta: 0:28:15 time: 0.2157 data_time: 0.0128 memory: 11037 grad_norm: 12.2238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/08 16:31:51 - mmengine - INFO - Epoch(train) [40][360/673] lr: 2.0000e-04 eta: 0:28:10 time: 0.2169 data_time: 0.0142 memory: 11037 grad_norm: 12.1661 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1122 loss: 1.1122 2022/08/08 16:31:55 - mmengine - INFO - Epoch(train) [40][380/673] lr: 2.0000e-04 eta: 0:28:05 time: 0.2152 data_time: 0.0118 memory: 11037 grad_norm: 11.8185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2909 loss: 1.2909 2022/08/08 16:32:00 - mmengine - INFO - Epoch(train) [40][400/673] lr: 2.0000e-04 eta: 0:28:00 time: 0.2219 data_time: 0.0134 memory: 11037 grad_norm: 11.9873 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/08/08 16:32:04 - mmengine - INFO - Epoch(train) [40][420/673] lr: 2.0000e-04 eta: 0:27:55 time: 0.2168 data_time: 0.0143 memory: 11037 grad_norm: 11.8104 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/08/08 16:32:09 - mmengine - INFO - Epoch(train) [40][440/673] lr: 2.0000e-04 eta: 0:27:51 time: 0.2158 data_time: 0.0120 memory: 11037 grad_norm: 11.8408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/08/08 16:32:13 - mmengine - INFO - Epoch(train) [40][460/673] lr: 2.0000e-04 eta: 0:27:46 time: 0.2176 data_time: 0.0128 memory: 11037 grad_norm: 11.4388 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2264 loss: 1.2264 2022/08/08 16:32:17 - mmengine - INFO - Epoch(train) [40][480/673] lr: 2.0000e-04 eta: 0:27:41 time: 0.2174 data_time: 0.0132 memory: 11037 grad_norm: 11.9614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2412 loss: 1.2412 2022/08/08 16:32:22 - mmengine - INFO - Epoch(train) [40][500/673] lr: 2.0000e-04 eta: 0:27:36 time: 0.2392 data_time: 0.0122 memory: 11037 grad_norm: 11.9105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/08/08 16:32:26 - mmengine - INFO - Epoch(train) [40][520/673] lr: 2.0000e-04 eta: 0:27:31 time: 0.2179 data_time: 0.0126 memory: 11037 grad_norm: 12.0281 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2223 loss: 1.2223 2022/08/08 16:32:31 - mmengine - INFO - Epoch(train) [40][540/673] lr: 2.0000e-04 eta: 0:27:26 time: 0.2170 data_time: 0.0133 memory: 11037 grad_norm: 11.8537 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1250 loss: 1.1250 2022/08/08 16:32:35 - mmengine - INFO - Epoch(train) [40][560/673] lr: 2.0000e-04 eta: 0:27:21 time: 0.2157 data_time: 0.0120 memory: 11037 grad_norm: 12.2511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0401 loss: 1.0401 2022/08/08 16:32:40 - mmengine - INFO - Epoch(train) [40][580/673] lr: 2.0000e-04 eta: 0:27:16 time: 0.2285 data_time: 0.0133 memory: 11037 grad_norm: 11.9352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2424 loss: 1.2424 2022/08/08 16:32:44 - mmengine - INFO - Epoch(train) [40][600/673] lr: 2.0000e-04 eta: 0:27:11 time: 0.2176 data_time: 0.0137 memory: 11037 grad_norm: 12.1417 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.2840 loss: 1.2840 2022/08/08 16:32:48 - mmengine - INFO - Epoch(train) [40][620/673] lr: 2.0000e-04 eta: 0:27:06 time: 0.2170 data_time: 0.0126 memory: 11037 grad_norm: 11.4398 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1368 loss: 1.1368 2022/08/08 16:32:53 - mmengine - INFO - Epoch(train) [40][640/673] lr: 2.0000e-04 eta: 0:27:02 time: 0.2163 data_time: 0.0129 memory: 11037 grad_norm: 12.0038 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0760 loss: 1.0760 2022/08/08 16:32:57 - mmengine - INFO - Epoch(train) [40][660/673] lr: 2.0000e-04 eta: 0:26:57 time: 0.2162 data_time: 0.0136 memory: 11037 grad_norm: 12.1947 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2150 loss: 1.2150 2022/08/08 16:33:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:33:00 - mmengine - INFO - Epoch(train) [40][673/673] lr: 2.0000e-04 eta: 0:26:57 time: 0.2157 data_time: 0.0145 memory: 11037 grad_norm: 14.2289 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.2993 loss: 1.2993 2022/08/08 16:33:00 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/08 16:33:04 - mmengine - INFO - Epoch(val) [40][20/91] eta: 0:00:05 time: 0.0797 data_time: 0.0179 memory: 1858 2022/08/08 16:33:06 - mmengine - INFO - Epoch(val) [40][40/91] eta: 0:00:03 time: 0.0683 data_time: 0.0106 memory: 1858 2022/08/08 16:33:07 - mmengine - INFO - Epoch(val) [40][60/91] eta: 0:00:01 time: 0.0641 data_time: 0.0090 memory: 1858 2022/08/08 16:33:08 - mmengine - INFO - Epoch(val) [40][80/91] eta: 0:00:00 time: 0.0630 data_time: 0.0087 memory: 1858 2022/08/08 16:33:09 - mmengine - INFO - Epoch(val) [40][91/91] acc/top1: 0.3144 acc/top5: 0.6052 acc/mean1: 0.2848 2022/08/08 16:33:09 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:33:14 - mmengine - INFO - Epoch(train) [41][20/673] lr: 2.0000e-04 eta: 0:26:48 time: 0.2262 data_time: 0.0234 memory: 11037 grad_norm: 11.8893 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1915 loss: 1.1915 2022/08/08 16:33:18 - mmengine - INFO - Epoch(train) [41][40/673] lr: 2.0000e-04 eta: 0:26:43 time: 0.2171 data_time: 0.0154 memory: 11037 grad_norm: 11.5982 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1255 loss: 1.1255 2022/08/08 16:33:23 - mmengine - INFO - Epoch(train) [41][60/673] lr: 2.0000e-04 eta: 0:26:38 time: 0.2181 data_time: 0.0127 memory: 11037 grad_norm: 11.8285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/08 16:33:27 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:33:27 - mmengine - INFO - Epoch(train) [41][80/673] lr: 2.0000e-04 eta: 0:26:33 time: 0.2177 data_time: 0.0146 memory: 11037 grad_norm: 12.3715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/08/08 16:33:31 - mmengine - INFO - Epoch(train) [41][100/673] lr: 2.0000e-04 eta: 0:26:28 time: 0.2247 data_time: 0.0143 memory: 11037 grad_norm: 11.7750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2137 loss: 1.2137 2022/08/08 16:33:36 - mmengine - INFO - Epoch(train) [41][120/673] lr: 2.0000e-04 eta: 0:26:23 time: 0.2160 data_time: 0.0137 memory: 11037 grad_norm: 12.1743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3416 loss: 1.3416 2022/08/08 16:33:40 - mmengine - INFO - Epoch(train) [41][140/673] lr: 2.0000e-04 eta: 0:26:18 time: 0.2182 data_time: 0.0138 memory: 11037 grad_norm: 11.8105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/08/08 16:33:44 - mmengine - INFO - Epoch(train) [41][160/673] lr: 2.0000e-04 eta: 0:26:14 time: 0.2167 data_time: 0.0143 memory: 11037 grad_norm: 11.8711 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1353 loss: 1.1353 2022/08/08 16:33:49 - mmengine - INFO - Epoch(train) [41][180/673] lr: 2.0000e-04 eta: 0:26:09 time: 0.2187 data_time: 0.0127 memory: 11037 grad_norm: 11.5916 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/08/08 16:33:53 - mmengine - INFO - Epoch(train) [41][200/673] lr: 2.0000e-04 eta: 0:26:04 time: 0.2180 data_time: 0.0132 memory: 11037 grad_norm: 12.1858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3068 loss: 1.3068 2022/08/08 16:33:57 - mmengine - INFO - Epoch(train) [41][220/673] lr: 2.0000e-04 eta: 0:25:59 time: 0.2170 data_time: 0.0127 memory: 11037 grad_norm: 11.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/08/08 16:34:02 - mmengine - INFO - Epoch(train) [41][240/673] lr: 2.0000e-04 eta: 0:25:54 time: 0.2185 data_time: 0.0132 memory: 11037 grad_norm: 11.6591 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2509 loss: 1.2509 2022/08/08 16:34:06 - mmengine - INFO - Epoch(train) [41][260/673] lr: 2.0000e-04 eta: 0:25:49 time: 0.2179 data_time: 0.0139 memory: 11037 grad_norm: 12.3660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/08/08 16:34:11 - mmengine - INFO - Epoch(train) [41][280/673] lr: 2.0000e-04 eta: 0:25:44 time: 0.2195 data_time: 0.0139 memory: 11037 grad_norm: 11.9628 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2516 loss: 1.2516 2022/08/08 16:34:15 - mmengine - INFO - Epoch(train) [41][300/673] lr: 2.0000e-04 eta: 0:25:39 time: 0.2175 data_time: 0.0127 memory: 11037 grad_norm: 12.1702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0817 loss: 1.0817 2022/08/08 16:34:19 - mmengine - INFO - Epoch(train) [41][320/673] lr: 2.0000e-04 eta: 0:25:34 time: 0.2215 data_time: 0.0134 memory: 11037 grad_norm: 12.4523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/08/08 16:34:24 - mmengine - INFO - Epoch(train) [41][340/673] lr: 2.0000e-04 eta: 0:25:30 time: 0.2149 data_time: 0.0145 memory: 11037 grad_norm: 11.8606 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1764 loss: 1.1764 2022/08/08 16:34:28 - mmengine - INFO - Epoch(train) [41][360/673] lr: 2.0000e-04 eta: 0:25:25 time: 0.2164 data_time: 0.0130 memory: 11037 grad_norm: 11.9871 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2487 loss: 1.2487 2022/08/08 16:34:32 - mmengine - INFO - Epoch(train) [41][380/673] lr: 2.0000e-04 eta: 0:25:20 time: 0.2225 data_time: 0.0137 memory: 11037 grad_norm: 12.1651 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2679 loss: 1.2679 2022/08/08 16:34:37 - mmengine - INFO - Epoch(train) [41][400/673] lr: 2.0000e-04 eta: 0:25:15 time: 0.2156 data_time: 0.0136 memory: 11037 grad_norm: 12.2583 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1992 loss: 1.1992 2022/08/08 16:34:41 - mmengine - INFO - Epoch(train) [41][420/673] lr: 2.0000e-04 eta: 0:25:10 time: 0.2312 data_time: 0.0129 memory: 11037 grad_norm: 11.4125 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2264 loss: 1.2264 2022/08/08 16:34:46 - mmengine - INFO - Epoch(train) [41][440/673] lr: 2.0000e-04 eta: 0:25:05 time: 0.2180 data_time: 0.0135 memory: 11037 grad_norm: 11.9325 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1409 loss: 1.1409 2022/08/08 16:34:50 - mmengine - INFO - Epoch(train) [41][460/673] lr: 2.0000e-04 eta: 0:25:00 time: 0.2195 data_time: 0.0137 memory: 11037 grad_norm: 11.8451 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1235 loss: 1.1235 2022/08/08 16:34:54 - mmengine - INFO - Epoch(train) [41][480/673] lr: 2.0000e-04 eta: 0:24:55 time: 0.2155 data_time: 0.0124 memory: 11037 grad_norm: 11.9282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9913 loss: 0.9913 2022/08/08 16:34:59 - mmengine - INFO - Epoch(train) [41][500/673] lr: 2.0000e-04 eta: 0:24:51 time: 0.2207 data_time: 0.0136 memory: 11037 grad_norm: 11.7291 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/08/08 16:35:03 - mmengine - INFO - Epoch(train) [41][520/673] lr: 2.0000e-04 eta: 0:24:46 time: 0.2174 data_time: 0.0137 memory: 11037 grad_norm: 11.9780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1781 loss: 1.1781 2022/08/08 16:35:08 - mmengine - INFO - Epoch(train) [41][540/673] lr: 2.0000e-04 eta: 0:24:41 time: 0.2162 data_time: 0.0128 memory: 11037 grad_norm: 12.0084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1299 loss: 1.1299 2022/08/08 16:35:12 - mmengine - INFO - Epoch(train) [41][560/673] lr: 2.0000e-04 eta: 0:24:36 time: 0.2327 data_time: 0.0222 memory: 11037 grad_norm: 12.3602 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/08/08 16:35:17 - mmengine - INFO - Epoch(train) [41][580/673] lr: 2.0000e-04 eta: 0:24:31 time: 0.2175 data_time: 0.0126 memory: 11037 grad_norm: 12.0333 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0613 loss: 1.0613 2022/08/08 16:35:21 - mmengine - INFO - Epoch(train) [41][600/673] lr: 2.0000e-04 eta: 0:24:26 time: 0.2152 data_time: 0.0124 memory: 11037 grad_norm: 11.8516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/08/08 16:35:25 - mmengine - INFO - Epoch(train) [41][620/673] lr: 2.0000e-04 eta: 0:24:21 time: 0.2179 data_time: 0.0144 memory: 11037 grad_norm: 11.9746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/08/08 16:35:30 - mmengine - INFO - Epoch(train) [41][640/673] lr: 2.0000e-04 eta: 0:24:16 time: 0.2198 data_time: 0.0133 memory: 11037 grad_norm: 12.4412 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3916 loss: 1.3916 2022/08/08 16:35:34 - mmengine - INFO - Epoch(train) [41][660/673] lr: 2.0000e-04 eta: 0:24:12 time: 0.2156 data_time: 0.0125 memory: 11037 grad_norm: 12.0484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1731 loss: 1.1731 2022/08/08 16:35:37 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:35:37 - mmengine - INFO - Epoch(train) [41][673/673] lr: 2.0000e-04 eta: 0:24:12 time: 0.2124 data_time: 0.0134 memory: 11037 grad_norm: 13.9567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/08/08 16:35:37 - mmengine - INFO - Saving checkpoint at 41 epochs 2022/08/08 16:35:41 - mmengine - INFO - Epoch(val) [41][20/91] eta: 0:00:05 time: 0.0798 data_time: 0.0191 memory: 1858 2022/08/08 16:35:42 - mmengine - INFO - Epoch(val) [41][40/91] eta: 0:00:03 time: 0.0696 data_time: 0.0122 memory: 1858 2022/08/08 16:35:43 - mmengine - INFO - Epoch(val) [41][60/91] eta: 0:00:02 time: 0.0654 data_time: 0.0096 memory: 1858 2022/08/08 16:35:45 - mmengine - INFO - Epoch(val) [41][80/91] eta: 0:00:00 time: 0.0635 data_time: 0.0086 memory: 1858 2022/08/08 16:35:46 - mmengine - INFO - Epoch(val) [41][91/91] acc/top1: 0.3163 acc/top5: 0.6036 acc/mean1: 0.2818 2022/08/08 16:35:46 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:35:50 - mmengine - INFO - Epoch(train) [42][20/673] lr: 2.0000e-04 eta: 0:24:03 time: 0.2359 data_time: 0.0260 memory: 11037 grad_norm: 11.9998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/08/08 16:35:55 - mmengine - INFO - Epoch(train) [42][40/673] lr: 2.0000e-04 eta: 0:23:58 time: 0.2162 data_time: 0.0127 memory: 11037 grad_norm: 12.0706 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2576 loss: 1.2576 2022/08/08 16:35:59 - mmengine - INFO - Epoch(train) [42][60/673] lr: 2.0000e-04 eta: 0:23:53 time: 0.2170 data_time: 0.0117 memory: 11037 grad_norm: 11.8508 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2376 loss: 1.2376 2022/08/08 16:36:04 - mmengine - INFO - Epoch(train) [42][80/673] lr: 2.0000e-04 eta: 0:23:48 time: 0.2177 data_time: 0.0130 memory: 11037 grad_norm: 12.2748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0903 loss: 1.0903 2022/08/08 16:36:08 - mmengine - INFO - Epoch(train) [42][100/673] lr: 2.0000e-04 eta: 0:23:43 time: 0.2160 data_time: 0.0124 memory: 11037 grad_norm: 11.8930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/08/08 16:36:12 - mmengine - INFO - Epoch(train) [42][120/673] lr: 2.0000e-04 eta: 0:23:39 time: 0.2194 data_time: 0.0128 memory: 11037 grad_norm: 11.9416 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1008 loss: 1.1008 2022/08/08 16:36:17 - mmengine - INFO - Epoch(train) [42][140/673] lr: 2.0000e-04 eta: 0:23:34 time: 0.2165 data_time: 0.0139 memory: 11037 grad_norm: 12.2441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/08/08 16:36:21 - mmengine - INFO - Epoch(train) [42][160/673] lr: 2.0000e-04 eta: 0:23:29 time: 0.2169 data_time: 0.0125 memory: 11037 grad_norm: 12.1417 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0853 loss: 1.0853 2022/08/08 16:36:25 - mmengine - INFO - Epoch(train) [42][180/673] lr: 2.0000e-04 eta: 0:23:24 time: 0.2176 data_time: 0.0137 memory: 11037 grad_norm: 12.2707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/08/08 16:36:30 - mmengine - INFO - Epoch(train) [42][200/673] lr: 2.0000e-04 eta: 0:23:19 time: 0.2223 data_time: 0.0147 memory: 11037 grad_norm: 12.2423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2513 loss: 1.2513 2022/08/08 16:36:34 - mmengine - INFO - Epoch(train) [42][220/673] lr: 2.0000e-04 eta: 0:23:14 time: 0.2165 data_time: 0.0123 memory: 11037 grad_norm: 11.8538 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1403 loss: 1.1403 2022/08/08 16:36:38 - mmengine - INFO - Epoch(train) [42][240/673] lr: 2.0000e-04 eta: 0:23:09 time: 0.2200 data_time: 0.0145 memory: 11037 grad_norm: 12.1271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1076 loss: 1.1076 2022/08/08 16:36:43 - mmengine - INFO - Epoch(train) [42][260/673] lr: 2.0000e-04 eta: 0:23:04 time: 0.2174 data_time: 0.0135 memory: 11037 grad_norm: 12.2554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2317 loss: 1.2317 2022/08/08 16:36:47 - mmengine - INFO - Epoch(train) [42][280/673] lr: 2.0000e-04 eta: 0:23:00 time: 0.2157 data_time: 0.0125 memory: 11037 grad_norm: 11.6967 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/08 16:36:51 - mmengine - INFO - Epoch(train) [42][300/673] lr: 2.0000e-04 eta: 0:22:55 time: 0.2182 data_time: 0.0129 memory: 11037 grad_norm: 12.2403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/08/08 16:36:56 - mmengine - INFO - Epoch(train) [42][320/673] lr: 2.0000e-04 eta: 0:22:50 time: 0.2160 data_time: 0.0128 memory: 11037 grad_norm: 11.8192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/08/08 16:37:00 - mmengine - INFO - Epoch(train) [42][340/673] lr: 2.0000e-04 eta: 0:22:45 time: 0.2188 data_time: 0.0127 memory: 11037 grad_norm: 12.1415 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2891 loss: 1.2891 2022/08/08 16:37:04 - mmengine - INFO - Epoch(train) [42][360/673] lr: 2.0000e-04 eta: 0:22:40 time: 0.2147 data_time: 0.0124 memory: 11037 grad_norm: 12.1594 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/08/08 16:37:09 - mmengine - INFO - Epoch(train) [42][380/673] lr: 2.0000e-04 eta: 0:22:35 time: 0.2215 data_time: 0.0130 memory: 11037 grad_norm: 11.9809 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1963 loss: 1.1963 2022/08/08 16:37:13 - mmengine - INFO - Epoch(train) [42][400/673] lr: 2.0000e-04 eta: 0:22:30 time: 0.2179 data_time: 0.0141 memory: 11037 grad_norm: 11.9541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/08/08 16:37:15 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:37:18 - mmengine - INFO - Epoch(train) [42][420/673] lr: 2.0000e-04 eta: 0:22:26 time: 0.2155 data_time: 0.0116 memory: 11037 grad_norm: 11.9315 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1239 loss: 1.1239 2022/08/08 16:37:22 - mmengine - INFO - Epoch(train) [42][440/673] lr: 2.0000e-04 eta: 0:22:21 time: 0.2232 data_time: 0.0137 memory: 11037 grad_norm: 12.2476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/08/08 16:37:26 - mmengine - INFO - Epoch(train) [42][460/673] lr: 2.0000e-04 eta: 0:22:16 time: 0.2173 data_time: 0.0131 memory: 11037 grad_norm: 11.8115 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1651 loss: 1.1651 2022/08/08 16:37:31 - mmengine - INFO - Epoch(train) [42][480/673] lr: 2.0000e-04 eta: 0:22:11 time: 0.2293 data_time: 0.0151 memory: 11037 grad_norm: 12.0450 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2223 loss: 1.2223 2022/08/08 16:37:35 - mmengine - INFO - Epoch(train) [42][500/673] lr: 2.0000e-04 eta: 0:22:06 time: 0.2170 data_time: 0.0140 memory: 11037 grad_norm: 12.0375 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2820 loss: 1.2820 2022/08/08 16:37:40 - mmengine - INFO - Epoch(train) [42][520/673] lr: 2.0000e-04 eta: 0:22:01 time: 0.2214 data_time: 0.0127 memory: 11037 grad_norm: 12.1635 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1371 loss: 1.1371 2022/08/08 16:37:44 - mmengine - INFO - Epoch(train) [42][540/673] lr: 2.0000e-04 eta: 0:21:56 time: 0.2166 data_time: 0.0125 memory: 11037 grad_norm: 12.2970 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2010 loss: 1.2010 2022/08/08 16:37:48 - mmengine - INFO - Epoch(train) [42][560/673] lr: 2.0000e-04 eta: 0:21:52 time: 0.2170 data_time: 0.0131 memory: 11037 grad_norm: 12.0669 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1702 loss: 1.1702 2022/08/08 16:37:53 - mmengine - INFO - Epoch(train) [42][580/673] lr: 2.0000e-04 eta: 0:21:47 time: 0.2214 data_time: 0.0140 memory: 11037 grad_norm: 12.2572 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1902 loss: 1.1902 2022/08/08 16:37:57 - mmengine - INFO - Epoch(train) [42][600/673] lr: 2.0000e-04 eta: 0:21:42 time: 0.2164 data_time: 0.0144 memory: 11037 grad_norm: 11.8482 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1809 loss: 1.1809 2022/08/08 16:38:02 - mmengine - INFO - Epoch(train) [42][620/673] lr: 2.0000e-04 eta: 0:21:37 time: 0.2174 data_time: 0.0133 memory: 11037 grad_norm: 12.2962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/08/08 16:38:06 - mmengine - INFO - Epoch(train) [42][640/673] lr: 2.0000e-04 eta: 0:21:32 time: 0.2160 data_time: 0.0134 memory: 11037 grad_norm: 11.7635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/08/08 16:38:10 - mmengine - INFO - Epoch(train) [42][660/673] lr: 2.0000e-04 eta: 0:21:27 time: 0.2242 data_time: 0.0144 memory: 11037 grad_norm: 12.7277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/08/08 16:38:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:38:13 - mmengine - INFO - Epoch(train) [42][673/673] lr: 2.0000e-04 eta: 0:21:27 time: 0.2198 data_time: 0.0157 memory: 11037 grad_norm: 14.0273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/08/08 16:38:13 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/08 16:38:17 - mmengine - INFO - Epoch(val) [42][20/91] eta: 0:00:05 time: 0.0791 data_time: 0.0175 memory: 1858 2022/08/08 16:38:18 - mmengine - INFO - Epoch(val) [42][40/91] eta: 0:00:03 time: 0.0708 data_time: 0.0116 memory: 1858 2022/08/08 16:38:20 - mmengine - INFO - Epoch(val) [42][60/91] eta: 0:00:02 time: 0.0661 data_time: 0.0106 memory: 1858 2022/08/08 16:38:21 - mmengine - INFO - Epoch(val) [42][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0087 memory: 1858 2022/08/08 16:38:22 - mmengine - INFO - Epoch(val) [42][91/91] acc/top1: 0.3143 acc/top5: 0.6035 acc/mean1: 0.2797 2022/08/08 16:38:22 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:38:27 - mmengine - INFO - Epoch(train) [43][20/673] lr: 2.0000e-04 eta: 0:21:19 time: 0.2265 data_time: 0.0199 memory: 11037 grad_norm: 12.0760 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/08 16:38:31 - mmengine - INFO - Epoch(train) [43][40/673] lr: 2.0000e-04 eta: 0:21:14 time: 0.2188 data_time: 0.0124 memory: 11037 grad_norm: 12.4518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2360 loss: 1.2360 2022/08/08 16:38:35 - mmengine - INFO - Epoch(train) [43][60/673] lr: 2.0000e-04 eta: 0:21:09 time: 0.2173 data_time: 0.0136 memory: 11037 grad_norm: 11.7263 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0163 loss: 1.0163 2022/08/08 16:38:40 - mmengine - INFO - Epoch(train) [43][80/673] lr: 2.0000e-04 eta: 0:21:04 time: 0.2181 data_time: 0.0131 memory: 11037 grad_norm: 11.9494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/08/08 16:38:44 - mmengine - INFO - Epoch(train) [43][100/673] lr: 2.0000e-04 eta: 0:20:59 time: 0.2171 data_time: 0.0131 memory: 11037 grad_norm: 11.9118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0789 loss: 1.0789 2022/08/08 16:38:49 - mmengine - INFO - Epoch(train) [43][120/673] lr: 2.0000e-04 eta: 0:20:55 time: 0.2166 data_time: 0.0126 memory: 11037 grad_norm: 12.4174 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0754 loss: 1.0754 2022/08/08 16:38:53 - mmengine - INFO - Epoch(train) [43][140/673] lr: 2.0000e-04 eta: 0:20:50 time: 0.2198 data_time: 0.0137 memory: 11037 grad_norm: 12.4312 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1958 loss: 1.1958 2022/08/08 16:38:57 - mmengine - INFO - Epoch(train) [43][160/673] lr: 2.0000e-04 eta: 0:20:45 time: 0.2172 data_time: 0.0137 memory: 11037 grad_norm: 11.8598 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1304 loss: 1.1304 2022/08/08 16:39:02 - mmengine - INFO - Epoch(train) [43][180/673] lr: 2.0000e-04 eta: 0:20:40 time: 0.2180 data_time: 0.0123 memory: 11037 grad_norm: 11.6627 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1299 loss: 1.1299 2022/08/08 16:39:06 - mmengine - INFO - Epoch(train) [43][200/673] lr: 2.0000e-04 eta: 0:20:35 time: 0.2173 data_time: 0.0137 memory: 11037 grad_norm: 12.5393 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/08/08 16:39:10 - mmengine - INFO - Epoch(train) [43][220/673] lr: 2.0000e-04 eta: 0:20:30 time: 0.2189 data_time: 0.0135 memory: 11037 grad_norm: 12.2301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1061 loss: 1.1061 2022/08/08 16:39:15 - mmengine - INFO - Epoch(train) [43][240/673] lr: 2.0000e-04 eta: 0:20:26 time: 0.2159 data_time: 0.0128 memory: 11037 grad_norm: 12.6852 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2653 loss: 1.2653 2022/08/08 16:39:19 - mmengine - INFO - Epoch(train) [43][260/673] lr: 2.0000e-04 eta: 0:20:21 time: 0.2179 data_time: 0.0132 memory: 11037 grad_norm: 11.8673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1876 loss: 1.1876 2022/08/08 16:39:23 - mmengine - INFO - Epoch(train) [43][280/673] lr: 2.0000e-04 eta: 0:20:16 time: 0.2166 data_time: 0.0129 memory: 11037 grad_norm: 11.8077 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2167 loss: 1.2167 2022/08/08 16:39:28 - mmengine - INFO - Epoch(train) [43][300/673] lr: 2.0000e-04 eta: 0:20:11 time: 0.2165 data_time: 0.0119 memory: 11037 grad_norm: 12.4288 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3137 loss: 1.3137 2022/08/08 16:39:32 - mmengine - INFO - Epoch(train) [43][320/673] lr: 2.0000e-04 eta: 0:20:06 time: 0.2211 data_time: 0.0143 memory: 11037 grad_norm: 12.6220 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2397 loss: 1.2397 2022/08/08 16:39:36 - mmengine - INFO - Epoch(train) [43][340/673] lr: 2.0000e-04 eta: 0:20:01 time: 0.2165 data_time: 0.0127 memory: 11037 grad_norm: 11.9855 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1484 loss: 1.1484 2022/08/08 16:39:41 - mmengine - INFO - Epoch(train) [43][360/673] lr: 2.0000e-04 eta: 0:19:57 time: 0.2170 data_time: 0.0126 memory: 11037 grad_norm: 12.3097 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0401 loss: 1.0401 2022/08/08 16:39:45 - mmengine - INFO - Epoch(train) [43][380/673] lr: 2.0000e-04 eta: 0:19:52 time: 0.2177 data_time: 0.0134 memory: 11037 grad_norm: 12.2546 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2637 loss: 1.2637 2022/08/08 16:39:50 - mmengine - INFO - Epoch(train) [43][400/673] lr: 2.0000e-04 eta: 0:19:47 time: 0.2182 data_time: 0.0128 memory: 11037 grad_norm: 12.5026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1002 loss: 1.1002 2022/08/08 16:39:54 - mmengine - INFO - Epoch(train) [43][420/673] lr: 2.0000e-04 eta: 0:19:42 time: 0.2159 data_time: 0.0116 memory: 11037 grad_norm: 12.2387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2207 loss: 1.2207 2022/08/08 16:39:58 - mmengine - INFO - Epoch(train) [43][440/673] lr: 2.0000e-04 eta: 0:19:37 time: 0.2175 data_time: 0.0131 memory: 11037 grad_norm: 12.2114 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.1867 loss: 1.1867 2022/08/08 16:40:03 - mmengine - INFO - Epoch(train) [43][460/673] lr: 2.0000e-04 eta: 0:19:32 time: 0.2195 data_time: 0.0121 memory: 11037 grad_norm: 12.1587 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/08/08 16:40:07 - mmengine - INFO - Epoch(train) [43][480/673] lr: 2.0000e-04 eta: 0:19:28 time: 0.2140 data_time: 0.0123 memory: 11037 grad_norm: 12.1807 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1749 loss: 1.1749 2022/08/08 16:40:11 - mmengine - INFO - Epoch(train) [43][500/673] lr: 2.0000e-04 eta: 0:19:23 time: 0.2191 data_time: 0.0140 memory: 11037 grad_norm: 11.9805 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0806 loss: 1.0806 2022/08/08 16:40:16 - mmengine - INFO - Epoch(train) [43][520/673] lr: 2.0000e-04 eta: 0:19:18 time: 0.2173 data_time: 0.0129 memory: 11037 grad_norm: 12.0461 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2044 loss: 1.2044 2022/08/08 16:40:20 - mmengine - INFO - Epoch(train) [43][540/673] lr: 2.0000e-04 eta: 0:19:13 time: 0.2212 data_time: 0.0128 memory: 11037 grad_norm: 12.2014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1005 loss: 1.1005 2022/08/08 16:40:24 - mmengine - INFO - Epoch(train) [43][560/673] lr: 2.0000e-04 eta: 0:19:08 time: 0.2169 data_time: 0.0140 memory: 11037 grad_norm: 12.6468 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2734 loss: 1.2734 2022/08/08 16:40:29 - mmengine - INFO - Epoch(train) [43][580/673] lr: 2.0000e-04 eta: 0:19:03 time: 0.2172 data_time: 0.0129 memory: 11037 grad_norm: 11.9855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0472 loss: 1.0472 2022/08/08 16:40:33 - mmengine - INFO - Epoch(train) [43][600/673] lr: 2.0000e-04 eta: 0:18:59 time: 0.2181 data_time: 0.0142 memory: 11037 grad_norm: 12.3881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/08/08 16:40:37 - mmengine - INFO - Epoch(train) [43][620/673] lr: 2.0000e-04 eta: 0:18:54 time: 0.2171 data_time: 0.0129 memory: 11037 grad_norm: 12.3365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1011 loss: 1.1011 2022/08/08 16:40:42 - mmengine - INFO - Epoch(train) [43][640/673] lr: 2.0000e-04 eta: 0:18:49 time: 0.2201 data_time: 0.0131 memory: 11037 grad_norm: 12.2991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1948 loss: 1.1948 2022/08/08 16:40:46 - mmengine - INFO - Epoch(train) [43][660/673] lr: 2.0000e-04 eta: 0:18:44 time: 0.2158 data_time: 0.0125 memory: 11037 grad_norm: 12.7650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/08/08 16:40:49 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:40:49 - mmengine - INFO - Epoch(train) [43][673/673] lr: 2.0000e-04 eta: 0:18:44 time: 0.2075 data_time: 0.0141 memory: 11037 grad_norm: 16.5887 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.1555 loss: 1.1555 2022/08/08 16:40:49 - mmengine - INFO - Saving checkpoint at 43 epochs 2022/08/08 16:40:54 - mmengine - INFO - Epoch(val) [43][20/91] eta: 0:00:05 time: 0.0793 data_time: 0.0190 memory: 1858 2022/08/08 16:40:55 - mmengine - INFO - Epoch(val) [43][40/91] eta: 0:00:03 time: 0.0672 data_time: 0.0110 memory: 1858 2022/08/08 16:40:56 - mmengine - INFO - Epoch(val) [43][60/91] eta: 0:00:01 time: 0.0636 data_time: 0.0092 memory: 1858 2022/08/08 16:40:57 - mmengine - INFO - Epoch(val) [43][80/91] eta: 0:00:00 time: 0.0637 data_time: 0.0089 memory: 1858 2022/08/08 16:40:59 - mmengine - INFO - Epoch(val) [43][91/91] acc/top1: 0.3154 acc/top5: 0.6019 acc/mean1: 0.2854 2022/08/08 16:40:59 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:41:03 - mmengine - INFO - Epoch(train) [44][20/673] lr: 2.0000e-04 eta: 0:18:36 time: 0.2251 data_time: 0.0211 memory: 11037 grad_norm: 12.1552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2198 loss: 1.2198 2022/08/08 16:41:07 - mmengine - INFO - Epoch(train) [44][40/673] lr: 2.0000e-04 eta: 0:18:31 time: 0.2171 data_time: 0.0127 memory: 11037 grad_norm: 11.8465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/08/08 16:41:12 - mmengine - INFO - Epoch(train) [44][60/673] lr: 2.0000e-04 eta: 0:18:26 time: 0.2251 data_time: 0.0135 memory: 11037 grad_norm: 12.4813 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1551 loss: 1.1551 2022/08/08 16:41:12 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:41:16 - mmengine - INFO - Epoch(train) [44][80/673] lr: 2.0000e-04 eta: 0:18:21 time: 0.2175 data_time: 0.0147 memory: 11037 grad_norm: 12.1978 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2128 loss: 1.2128 2022/08/08 16:41:21 - mmengine - INFO - Epoch(train) [44][100/673] lr: 2.0000e-04 eta: 0:18:16 time: 0.2159 data_time: 0.0129 memory: 11037 grad_norm: 12.2321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/08/08 16:41:25 - mmengine - INFO - Epoch(train) [44][120/673] lr: 2.0000e-04 eta: 0:18:12 time: 0.2155 data_time: 0.0124 memory: 11037 grad_norm: 12.1029 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2050 loss: 1.2050 2022/08/08 16:41:29 - mmengine - INFO - Epoch(train) [44][140/673] lr: 2.0000e-04 eta: 0:18:07 time: 0.2168 data_time: 0.0143 memory: 11037 grad_norm: 12.1693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1243 loss: 1.1243 2022/08/08 16:41:34 - mmengine - INFO - Epoch(train) [44][160/673] lr: 2.0000e-04 eta: 0:18:02 time: 0.2170 data_time: 0.0120 memory: 11037 grad_norm: 11.9444 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0413 loss: 1.0413 2022/08/08 16:41:38 - mmengine - INFO - Epoch(train) [44][180/673] lr: 2.0000e-04 eta: 0:17:57 time: 0.2156 data_time: 0.0129 memory: 11037 grad_norm: 11.8195 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1167 loss: 1.1167 2022/08/08 16:41:42 - mmengine - INFO - Epoch(train) [44][200/673] lr: 2.0000e-04 eta: 0:17:52 time: 0.2193 data_time: 0.0145 memory: 11037 grad_norm: 12.0723 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1622 loss: 1.1622 2022/08/08 16:41:47 - mmengine - INFO - Epoch(train) [44][220/673] lr: 2.0000e-04 eta: 0:17:47 time: 0.2162 data_time: 0.0124 memory: 11037 grad_norm: 11.9573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/08/08 16:41:51 - mmengine - INFO - Epoch(train) [44][240/673] lr: 2.0000e-04 eta: 0:17:43 time: 0.2194 data_time: 0.0128 memory: 11037 grad_norm: 12.2166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/08/08 16:41:55 - mmengine - INFO - Epoch(train) [44][260/673] lr: 2.0000e-04 eta: 0:17:38 time: 0.2169 data_time: 0.0140 memory: 11037 grad_norm: 12.1445 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1903 loss: 1.1903 2022/08/08 16:42:00 - mmengine - INFO - Epoch(train) [44][280/673] lr: 2.0000e-04 eta: 0:17:33 time: 0.2180 data_time: 0.0132 memory: 11037 grad_norm: 12.5503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2633 loss: 1.2633 2022/08/08 16:42:04 - mmengine - INFO - Epoch(train) [44][300/673] lr: 2.0000e-04 eta: 0:17:28 time: 0.2163 data_time: 0.0126 memory: 11037 grad_norm: 12.5168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1240 loss: 1.1240 2022/08/08 16:42:08 - mmengine - INFO - Epoch(train) [44][320/673] lr: 2.0000e-04 eta: 0:17:23 time: 0.2172 data_time: 0.0139 memory: 11037 grad_norm: 12.3711 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/08/08 16:42:13 - mmengine - INFO - Epoch(train) [44][340/673] lr: 2.0000e-04 eta: 0:17:19 time: 0.2216 data_time: 0.0156 memory: 11037 grad_norm: 12.3071 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2396 loss: 1.2396 2022/08/08 16:42:17 - mmengine - INFO - Epoch(train) [44][360/673] lr: 2.0000e-04 eta: 0:17:14 time: 0.2162 data_time: 0.0124 memory: 11037 grad_norm: 12.4138 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1540 loss: 1.1540 2022/08/08 16:42:22 - mmengine - INFO - Epoch(train) [44][380/673] lr: 2.0000e-04 eta: 0:17:09 time: 0.2160 data_time: 0.0132 memory: 11037 grad_norm: 11.9666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0544 loss: 1.0544 2022/08/08 16:42:26 - mmengine - INFO - Epoch(train) [44][400/673] lr: 2.0000e-04 eta: 0:17:04 time: 0.2164 data_time: 0.0135 memory: 11037 grad_norm: 12.4111 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1484 loss: 1.1484 2022/08/08 16:42:30 - mmengine - INFO - Epoch(train) [44][420/673] lr: 2.0000e-04 eta: 0:16:59 time: 0.2197 data_time: 0.0139 memory: 11037 grad_norm: 12.2494 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1561 loss: 1.1561 2022/08/08 16:42:35 - mmengine - INFO - Epoch(train) [44][440/673] lr: 2.0000e-04 eta: 0:16:54 time: 0.2167 data_time: 0.0127 memory: 11037 grad_norm: 12.0690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/08/08 16:42:39 - mmengine - INFO - Epoch(train) [44][460/673] lr: 2.0000e-04 eta: 0:16:50 time: 0.2164 data_time: 0.0132 memory: 11037 grad_norm: 12.0705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/08/08 16:42:43 - mmengine - INFO - Epoch(train) [44][480/673] lr: 2.0000e-04 eta: 0:16:45 time: 0.2212 data_time: 0.0131 memory: 11037 grad_norm: 12.1665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1099 loss: 1.1099 2022/08/08 16:42:48 - mmengine - INFO - Epoch(train) [44][500/673] lr: 2.0000e-04 eta: 0:16:40 time: 0.2174 data_time: 0.0135 memory: 11037 grad_norm: 12.0928 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1751 loss: 1.1751 2022/08/08 16:42:52 - mmengine - INFO - Epoch(train) [44][520/673] lr: 2.0000e-04 eta: 0:16:35 time: 0.2213 data_time: 0.0135 memory: 11037 grad_norm: 12.5793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4004 loss: 1.4004 2022/08/08 16:42:56 - mmengine - INFO - Epoch(train) [44][540/673] lr: 2.0000e-04 eta: 0:16:30 time: 0.2162 data_time: 0.0135 memory: 11037 grad_norm: 11.9289 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0863 loss: 1.0863 2022/08/08 16:43:01 - mmengine - INFO - Epoch(train) [44][560/673] lr: 2.0000e-04 eta: 0:16:26 time: 0.2190 data_time: 0.0141 memory: 11037 grad_norm: 11.9078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0360 loss: 1.0360 2022/08/08 16:43:05 - mmengine - INFO - Epoch(train) [44][580/673] lr: 2.0000e-04 eta: 0:16:21 time: 0.2169 data_time: 0.0131 memory: 11037 grad_norm: 12.2842 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0791 loss: 1.0791 2022/08/08 16:43:10 - mmengine - INFO - Epoch(train) [44][600/673] lr: 2.0000e-04 eta: 0:16:16 time: 0.2198 data_time: 0.0127 memory: 11037 grad_norm: 12.4336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/08/08 16:43:14 - mmengine - INFO - Epoch(train) [44][620/673] lr: 2.0000e-04 eta: 0:16:11 time: 0.2192 data_time: 0.0142 memory: 11037 grad_norm: 12.4897 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/08/08 16:43:18 - mmengine - INFO - Epoch(train) [44][640/673] lr: 2.0000e-04 eta: 0:16:06 time: 0.2159 data_time: 0.0130 memory: 11037 grad_norm: 12.0693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/08/08 16:43:23 - mmengine - INFO - Epoch(train) [44][660/673] lr: 2.0000e-04 eta: 0:16:02 time: 0.2181 data_time: 0.0137 memory: 11037 grad_norm: 12.5569 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8771 loss: 0.8771 2022/08/08 16:43:25 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:43:25 - mmengine - INFO - Epoch(train) [44][673/673] lr: 2.0000e-04 eta: 0:16:02 time: 0.2075 data_time: 0.0131 memory: 11037 grad_norm: 14.7473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/08/08 16:43:25 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/08 16:43:29 - mmengine - INFO - Epoch(val) [44][20/91] eta: 0:00:05 time: 0.0772 data_time: 0.0180 memory: 1858 2022/08/08 16:43:31 - mmengine - INFO - Epoch(val) [44][40/91] eta: 0:00:03 time: 0.0701 data_time: 0.0106 memory: 1858 2022/08/08 16:43:32 - mmengine - INFO - Epoch(val) [44][60/91] eta: 0:00:02 time: 0.0652 data_time: 0.0096 memory: 1858 2022/08/08 16:43:33 - mmengine - INFO - Epoch(val) [44][80/91] eta: 0:00:00 time: 0.0619 data_time: 0.0082 memory: 1858 2022/08/08 16:43:34 - mmengine - INFO - Epoch(val) [44][91/91] acc/top1: 0.3091 acc/top5: 0.6028 acc/mean1: 0.2773 2022/08/08 16:43:34 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:43:39 - mmengine - INFO - Epoch(train) [45][20/673] lr: 2.0000e-04 eta: 0:15:53 time: 0.2238 data_time: 0.0198 memory: 11037 grad_norm: 11.4568 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1422 loss: 1.1422 2022/08/08 16:43:43 - mmengine - INFO - Epoch(train) [45][40/673] lr: 2.0000e-04 eta: 0:15:49 time: 0.2199 data_time: 0.0135 memory: 11037 grad_norm: 12.2332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/08/08 16:43:47 - mmengine - INFO - Epoch(train) [45][60/673] lr: 2.0000e-04 eta: 0:15:44 time: 0.2164 data_time: 0.0129 memory: 11037 grad_norm: 12.4549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1416 loss: 1.1416 2022/08/08 16:43:52 - mmengine - INFO - Epoch(train) [45][80/673] lr: 2.0000e-04 eta: 0:15:39 time: 0.2164 data_time: 0.0124 memory: 11037 grad_norm: 12.6747 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0826 loss: 1.0826 2022/08/08 16:43:56 - mmengine - INFO - Epoch(train) [45][100/673] lr: 2.0000e-04 eta: 0:15:34 time: 0.2159 data_time: 0.0137 memory: 11037 grad_norm: 12.4364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1253 loss: 1.1253 2022/08/08 16:44:01 - mmengine - INFO - Epoch(train) [45][120/673] lr: 2.0000e-04 eta: 0:15:29 time: 0.2344 data_time: 0.0124 memory: 11037 grad_norm: 12.7431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1419 loss: 1.1419 2022/08/08 16:44:05 - mmengine - INFO - Epoch(train) [45][140/673] lr: 2.0000e-04 eta: 0:15:25 time: 0.2165 data_time: 0.0139 memory: 11037 grad_norm: 12.2983 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/08/08 16:44:10 - mmengine - INFO - Epoch(train) [45][160/673] lr: 2.0000e-04 eta: 0:15:20 time: 0.2168 data_time: 0.0122 memory: 11037 grad_norm: 12.3442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2205 loss: 1.2205 2022/08/08 16:44:14 - mmengine - INFO - Epoch(train) [45][180/673] lr: 2.0000e-04 eta: 0:15:15 time: 0.2167 data_time: 0.0123 memory: 11037 grad_norm: 12.5519 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0816 loss: 1.0816 2022/08/08 16:44:18 - mmengine - INFO - Epoch(train) [45][200/673] lr: 2.0000e-04 eta: 0:15:10 time: 0.2168 data_time: 0.0127 memory: 11037 grad_norm: 12.4155 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2132 loss: 1.2132 2022/08/08 16:44:23 - mmengine - INFO - Epoch(train) [45][220/673] lr: 2.0000e-04 eta: 0:15:05 time: 0.2195 data_time: 0.0133 memory: 11037 grad_norm: 12.2275 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/08/08 16:44:27 - mmengine - INFO - Epoch(train) [45][240/673] lr: 2.0000e-04 eta: 0:15:01 time: 0.2163 data_time: 0.0118 memory: 11037 grad_norm: 12.3673 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1528 loss: 1.1528 2022/08/08 16:44:31 - mmengine - INFO - Epoch(train) [45][260/673] lr: 2.0000e-04 eta: 0:14:56 time: 0.2183 data_time: 0.0134 memory: 11037 grad_norm: 11.9976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2363 loss: 1.2363 2022/08/08 16:44:36 - mmengine - INFO - Epoch(train) [45][280/673] lr: 2.0000e-04 eta: 0:14:51 time: 0.2161 data_time: 0.0128 memory: 11037 grad_norm: 12.3058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1163 loss: 1.1163 2022/08/08 16:44:40 - mmengine - INFO - Epoch(train) [45][300/673] lr: 2.0000e-04 eta: 0:14:46 time: 0.2229 data_time: 0.0145 memory: 11037 grad_norm: 12.4720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/08/08 16:44:44 - mmengine - INFO - Epoch(train) [45][320/673] lr: 2.0000e-04 eta: 0:14:41 time: 0.2182 data_time: 0.0134 memory: 11037 grad_norm: 12.4224 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/08/08 16:44:49 - mmengine - INFO - Epoch(train) [45][340/673] lr: 2.0000e-04 eta: 0:14:37 time: 0.2155 data_time: 0.0128 memory: 11037 grad_norm: 12.5487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1369 loss: 1.1369 2022/08/08 16:44:53 - mmengine - INFO - Epoch(train) [45][360/673] lr: 2.0000e-04 eta: 0:14:32 time: 0.2220 data_time: 0.0131 memory: 11037 grad_norm: 12.2339 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0282 loss: 1.0282 2022/08/08 16:44:58 - mmengine - INFO - Epoch(train) [45][380/673] lr: 2.0000e-04 eta: 0:14:27 time: 0.2177 data_time: 0.0142 memory: 11037 grad_norm: 12.2498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1585 loss: 1.1585 2022/08/08 16:44:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:45:02 - mmengine - INFO - Epoch(train) [45][400/673] lr: 2.0000e-04 eta: 0:14:22 time: 0.2257 data_time: 0.0149 memory: 11037 grad_norm: 12.1947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0957 loss: 1.0957 2022/08/08 16:45:06 - mmengine - INFO - Epoch(train) [45][420/673] lr: 2.0000e-04 eta: 0:14:17 time: 0.2162 data_time: 0.0126 memory: 11037 grad_norm: 12.7238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1265 loss: 1.1265 2022/08/08 16:45:11 - mmengine - INFO - Epoch(train) [45][440/673] lr: 2.0000e-04 eta: 0:14:13 time: 0.2185 data_time: 0.0137 memory: 11037 grad_norm: 12.6078 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/08 16:45:15 - mmengine - INFO - Epoch(train) [45][460/673] lr: 2.0000e-04 eta: 0:14:08 time: 0.2165 data_time: 0.0124 memory: 11037 grad_norm: 12.0557 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0949 loss: 1.0949 2022/08/08 16:45:19 - mmengine - INFO - Epoch(train) [45][480/673] lr: 2.0000e-04 eta: 0:14:03 time: 0.2179 data_time: 0.0118 memory: 11037 grad_norm: 12.5566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/08 16:45:24 - mmengine - INFO - Epoch(train) [45][500/673] lr: 2.0000e-04 eta: 0:13:58 time: 0.2287 data_time: 0.0199 memory: 11037 grad_norm: 12.3201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/08/08 16:45:28 - mmengine - INFO - Epoch(train) [45][520/673] lr: 2.0000e-04 eta: 0:13:54 time: 0.2174 data_time: 0.0132 memory: 11037 grad_norm: 12.2115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/08/08 16:45:33 - mmengine - INFO - Epoch(train) [45][540/673] lr: 2.0000e-04 eta: 0:13:49 time: 0.2166 data_time: 0.0125 memory: 11037 grad_norm: 12.4107 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0073 loss: 1.0073 2022/08/08 16:45:37 - mmengine - INFO - Epoch(train) [45][560/673] lr: 2.0000e-04 eta: 0:13:44 time: 0.2192 data_time: 0.0164 memory: 11037 grad_norm: 11.9820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4227 loss: 1.4227 2022/08/08 16:45:42 - mmengine - INFO - Epoch(train) [45][580/673] lr: 2.0000e-04 eta: 0:13:39 time: 0.2270 data_time: 0.0133 memory: 11037 grad_norm: 12.1837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/08/08 16:45:46 - mmengine - INFO - Epoch(train) [45][600/673] lr: 2.0000e-04 eta: 0:13:34 time: 0.2175 data_time: 0.0126 memory: 11037 grad_norm: 12.6180 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1639 loss: 1.1639 2022/08/08 16:45:50 - mmengine - INFO - Epoch(train) [45][620/673] lr: 2.0000e-04 eta: 0:13:30 time: 0.2177 data_time: 0.0132 memory: 11037 grad_norm: 12.2730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0748 loss: 1.0748 2022/08/08 16:45:55 - mmengine - INFO - Epoch(train) [45][640/673] lr: 2.0000e-04 eta: 0:13:25 time: 0.2158 data_time: 0.0127 memory: 11037 grad_norm: 12.4697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0222 loss: 1.0222 2022/08/08 16:45:59 - mmengine - INFO - Epoch(train) [45][660/673] lr: 2.0000e-04 eta: 0:13:20 time: 0.2170 data_time: 0.0121 memory: 11037 grad_norm: 12.0663 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1466 loss: 1.1466 2022/08/08 16:46:03 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:46:03 - mmengine - INFO - Epoch(train) [45][673/673] lr: 2.0000e-04 eta: 0:13:20 time: 0.2868 data_time: 0.0284 memory: 11037 grad_norm: 15.0828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1628 loss: 1.1628 2022/08/08 16:46:03 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/08 16:46:08 - mmengine - INFO - Epoch(val) [45][20/91] eta: 0:00:05 time: 0.0799 data_time: 0.0192 memory: 1858 2022/08/08 16:46:09 - mmengine - INFO - Epoch(val) [45][40/91] eta: 0:00:03 time: 0.0685 data_time: 0.0109 memory: 1858 2022/08/08 16:46:10 - mmengine - INFO - Epoch(val) [45][60/91] eta: 0:00:02 time: 0.0676 data_time: 0.0106 memory: 1858 2022/08/08 16:46:12 - mmengine - INFO - Epoch(val) [45][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0089 memory: 1858 2022/08/08 16:46:13 - mmengine - INFO - Epoch(val) [45][91/91] acc/top1: 0.3140 acc/top5: 0.6032 acc/mean1: 0.2823 2022/08/08 16:46:13 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:46:18 - mmengine - INFO - Epoch(train) [46][20/673] lr: 2.0000e-05 eta: 0:13:12 time: 0.2268 data_time: 0.0223 memory: 11037 grad_norm: 12.3128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/08/08 16:46:22 - mmengine - INFO - Epoch(train) [46][40/673] lr: 2.0000e-05 eta: 0:13:07 time: 0.2173 data_time: 0.0138 memory: 11037 grad_norm: 12.4216 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9599 loss: 0.9599 2022/08/08 16:46:26 - mmengine - INFO - Epoch(train) [46][60/673] lr: 2.0000e-05 eta: 0:13:02 time: 0.2156 data_time: 0.0128 memory: 11037 grad_norm: 12.2190 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4661 loss: 1.4661 2022/08/08 16:46:31 - mmengine - INFO - Epoch(train) [46][80/673] lr: 2.0000e-05 eta: 0:12:58 time: 0.2312 data_time: 0.0155 memory: 11037 grad_norm: 12.3615 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1636 loss: 1.1636 2022/08/08 16:46:35 - mmengine - INFO - Epoch(train) [46][100/673] lr: 2.0000e-05 eta: 0:12:53 time: 0.2170 data_time: 0.0133 memory: 11037 grad_norm: 12.3747 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1512 loss: 1.1512 2022/08/08 16:46:40 - mmengine - INFO - Epoch(train) [46][120/673] lr: 2.0000e-05 eta: 0:12:48 time: 0.2154 data_time: 0.0126 memory: 11037 grad_norm: 12.0600 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0735 loss: 1.0735 2022/08/08 16:46:44 - mmengine - INFO - Epoch(train) [46][140/673] lr: 2.0000e-05 eta: 0:12:43 time: 0.2196 data_time: 0.0142 memory: 11037 grad_norm: 12.4806 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/08/08 16:46:48 - mmengine - INFO - Epoch(train) [46][160/673] lr: 2.0000e-05 eta: 0:12:38 time: 0.2171 data_time: 0.0133 memory: 11037 grad_norm: 12.1237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1322 loss: 1.1322 2022/08/08 16:46:53 - mmengine - INFO - Epoch(train) [46][180/673] lr: 2.0000e-05 eta: 0:12:34 time: 0.2337 data_time: 0.0143 memory: 11037 grad_norm: 12.0083 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0632 loss: 1.0632 2022/08/08 16:46:57 - mmengine - INFO - Epoch(train) [46][200/673] lr: 2.0000e-05 eta: 0:12:29 time: 0.2163 data_time: 0.0134 memory: 11037 grad_norm: 11.8638 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1365 loss: 1.1365 2022/08/08 16:47:02 - mmengine - INFO - Epoch(train) [46][220/673] lr: 2.0000e-05 eta: 0:12:24 time: 0.2175 data_time: 0.0127 memory: 11037 grad_norm: 12.0704 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0600 loss: 1.0600 2022/08/08 16:47:06 - mmengine - INFO - Epoch(train) [46][240/673] lr: 2.0000e-05 eta: 0:12:19 time: 0.2172 data_time: 0.0127 memory: 11037 grad_norm: 12.3068 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2291 loss: 1.2291 2022/08/08 16:47:11 - mmengine - INFO - Epoch(train) [46][260/673] lr: 2.0000e-05 eta: 0:12:15 time: 0.2261 data_time: 0.0141 memory: 11037 grad_norm: 12.3840 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1074 loss: 1.1074 2022/08/08 16:47:15 - mmengine - INFO - Epoch(train) [46][280/673] lr: 2.0000e-05 eta: 0:12:10 time: 0.2175 data_time: 0.0137 memory: 11037 grad_norm: 12.4273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0059 loss: 1.0059 2022/08/08 16:47:19 - mmengine - INFO - Epoch(train) [46][300/673] lr: 2.0000e-05 eta: 0:12:05 time: 0.2157 data_time: 0.0143 memory: 11037 grad_norm: 12.2207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7745 loss: 0.7745 2022/08/08 16:47:24 - mmengine - INFO - Epoch(train) [46][320/673] lr: 2.0000e-05 eta: 0:12:00 time: 0.2185 data_time: 0.0143 memory: 11037 grad_norm: 12.2650 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1518 loss: 1.1518 2022/08/08 16:47:28 - mmengine - INFO - Epoch(train) [46][340/673] lr: 2.0000e-05 eta: 0:11:56 time: 0.2166 data_time: 0.0127 memory: 11037 grad_norm: 12.1806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/08 16:47:33 - mmengine - INFO - Epoch(train) [46][360/673] lr: 2.0000e-05 eta: 0:11:51 time: 0.2288 data_time: 0.0138 memory: 11037 grad_norm: 12.3497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/08/08 16:47:37 - mmengine - INFO - Epoch(train) [46][380/673] lr: 2.0000e-05 eta: 0:11:46 time: 0.2166 data_time: 0.0134 memory: 11037 grad_norm: 12.1731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0199 loss: 1.0199 2022/08/08 16:47:41 - mmengine - INFO - Epoch(train) [46][400/673] lr: 2.0000e-05 eta: 0:11:41 time: 0.2192 data_time: 0.0150 memory: 11037 grad_norm: 12.1644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9787 loss: 0.9787 2022/08/08 16:47:46 - mmengine - INFO - Epoch(train) [46][420/673] lr: 2.0000e-05 eta: 0:11:36 time: 0.2175 data_time: 0.0124 memory: 11037 grad_norm: 12.1519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/08/08 16:47:53 - mmengine - INFO - Epoch(train) [46][440/673] lr: 2.0000e-05 eta: 0:11:32 time: 0.3668 data_time: 0.0202 memory: 11037 grad_norm: 12.1192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/08/08 16:47:57 - mmengine - INFO - Epoch(train) [46][460/673] lr: 2.0000e-05 eta: 0:11:27 time: 0.2186 data_time: 0.0156 memory: 11037 grad_norm: 12.2548 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0616 loss: 1.0616 2022/08/08 16:48:02 - mmengine - INFO - Epoch(train) [46][480/673] lr: 2.0000e-05 eta: 0:11:22 time: 0.2176 data_time: 0.0131 memory: 11037 grad_norm: 12.3293 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0180 loss: 1.0180 2022/08/08 16:48:06 - mmengine - INFO - Epoch(train) [46][500/673] lr: 2.0000e-05 eta: 0:11:18 time: 0.2147 data_time: 0.0130 memory: 11037 grad_norm: 12.4060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1232 loss: 1.1232 2022/08/08 16:48:10 - mmengine - INFO - Epoch(train) [46][520/673] lr: 2.0000e-05 eta: 0:11:13 time: 0.2233 data_time: 0.0143 memory: 11037 grad_norm: 12.2143 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0270 loss: 1.0270 2022/08/08 16:48:15 - mmengine - INFO - Epoch(train) [46][540/673] lr: 2.0000e-05 eta: 0:11:08 time: 0.2173 data_time: 0.0137 memory: 11037 grad_norm: 12.1552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2742 loss: 1.2742 2022/08/08 16:48:19 - mmengine - INFO - Epoch(train) [46][560/673] lr: 2.0000e-05 eta: 0:11:03 time: 0.2172 data_time: 0.0128 memory: 11037 grad_norm: 11.7652 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1122 loss: 1.1122 2022/08/08 16:48:24 - mmengine - INFO - Epoch(train) [46][580/673] lr: 2.0000e-05 eta: 0:10:59 time: 0.2239 data_time: 0.0136 memory: 11037 grad_norm: 12.0695 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0532 loss: 1.0532 2022/08/08 16:48:28 - mmengine - INFO - Epoch(train) [46][600/673] lr: 2.0000e-05 eta: 0:10:54 time: 0.2186 data_time: 0.0145 memory: 11037 grad_norm: 12.1359 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9679 loss: 0.9679 2022/08/08 16:48:32 - mmengine - INFO - Epoch(train) [46][620/673] lr: 2.0000e-05 eta: 0:10:49 time: 0.2190 data_time: 0.0134 memory: 11037 grad_norm: 12.1443 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/08/08 16:48:37 - mmengine - INFO - Epoch(train) [46][640/673] lr: 2.0000e-05 eta: 0:10:44 time: 0.2174 data_time: 0.0131 memory: 11037 grad_norm: 12.1076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0988 loss: 1.0988 2022/08/08 16:48:41 - mmengine - INFO - Epoch(train) [46][660/673] lr: 2.0000e-05 eta: 0:10:40 time: 0.2166 data_time: 0.0135 memory: 11037 grad_norm: 12.2888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1655 loss: 1.1655 2022/08/08 16:48:44 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:48:44 - mmengine - INFO - Epoch(train) [46][673/673] lr: 2.0000e-05 eta: 0:10:40 time: 0.2128 data_time: 0.0127 memory: 11037 grad_norm: 14.8888 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.3404 loss: 1.3404 2022/08/08 16:48:44 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/08/08 16:48:48 - mmengine - INFO - Epoch(val) [46][20/91] eta: 0:00:05 time: 0.0842 data_time: 0.0231 memory: 1858 2022/08/08 16:48:49 - mmengine - INFO - Epoch(val) [46][40/91] eta: 0:00:03 time: 0.0683 data_time: 0.0107 memory: 1858 2022/08/08 16:48:50 - mmengine - INFO - Epoch(val) [46][60/91] eta: 0:00:02 time: 0.0655 data_time: 0.0096 memory: 1858 2022/08/08 16:48:52 - mmengine - INFO - Epoch(val) [46][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0086 memory: 1858 2022/08/08 16:48:53 - mmengine - INFO - Epoch(val) [46][91/91] acc/top1: 0.3146 acc/top5: 0.6034 acc/mean1: 0.2835 2022/08/08 16:48:53 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:48:57 - mmengine - INFO - Epoch(train) [47][20/673] lr: 2.0000e-05 eta: 0:10:31 time: 0.2245 data_time: 0.0201 memory: 11037 grad_norm: 11.6701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1691 loss: 1.1691 2022/08/08 16:49:02 - mmengine - INFO - Epoch(train) [47][40/673] lr: 2.0000e-05 eta: 0:10:27 time: 0.2191 data_time: 0.0132 memory: 11037 grad_norm: 12.2502 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9311 loss: 0.9311 2022/08/08 16:49:02 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:49:06 - mmengine - INFO - Epoch(train) [47][60/673] lr: 2.0000e-05 eta: 0:10:22 time: 0.2168 data_time: 0.0114 memory: 11037 grad_norm: 12.0007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9891 loss: 0.9891 2022/08/08 16:49:10 - mmengine - INFO - Epoch(train) [47][80/673] lr: 2.0000e-05 eta: 0:10:17 time: 0.2174 data_time: 0.0134 memory: 11037 grad_norm: 12.3183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/08/08 16:49:15 - mmengine - INFO - Epoch(train) [47][100/673] lr: 2.0000e-05 eta: 0:10:12 time: 0.2178 data_time: 0.0123 memory: 11037 grad_norm: 11.7901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/08/08 16:49:19 - mmengine - INFO - Epoch(train) [47][120/673] lr: 2.0000e-05 eta: 0:10:08 time: 0.2150 data_time: 0.0115 memory: 11037 grad_norm: 12.3508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/08/08 16:49:24 - mmengine - INFO - Epoch(train) [47][140/673] lr: 2.0000e-05 eta: 0:10:03 time: 0.2355 data_time: 0.0183 memory: 11037 grad_norm: 12.0997 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/08/08 16:49:28 - mmengine - INFO - Epoch(train) [47][160/673] lr: 2.0000e-05 eta: 0:09:58 time: 0.2179 data_time: 0.0128 memory: 11037 grad_norm: 12.0305 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/08 16:49:32 - mmengine - INFO - Epoch(train) [47][180/673] lr: 2.0000e-05 eta: 0:09:53 time: 0.2175 data_time: 0.0136 memory: 11037 grad_norm: 12.0970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/08/08 16:49:37 - mmengine - INFO - Epoch(train) [47][200/673] lr: 2.0000e-05 eta: 0:09:49 time: 0.2170 data_time: 0.0133 memory: 11037 grad_norm: 12.4333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/08/08 16:49:41 - mmengine - INFO - Epoch(train) [47][220/673] lr: 2.0000e-05 eta: 0:09:44 time: 0.2226 data_time: 0.0128 memory: 11037 grad_norm: 11.8892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0517 loss: 1.0517 2022/08/08 16:49:46 - mmengine - INFO - Epoch(train) [47][240/673] lr: 2.0000e-05 eta: 0:09:39 time: 0.2163 data_time: 0.0126 memory: 11037 grad_norm: 12.4188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/08/08 16:49:50 - mmengine - INFO - Epoch(train) [47][260/673] lr: 2.0000e-05 eta: 0:09:34 time: 0.2190 data_time: 0.0126 memory: 11037 grad_norm: 11.8954 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/08/08 16:49:54 - mmengine - INFO - Epoch(train) [47][280/673] lr: 2.0000e-05 eta: 0:09:30 time: 0.2176 data_time: 0.0127 memory: 11037 grad_norm: 12.5138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/08/08 16:49:59 - mmengine - INFO - Epoch(train) [47][300/673] lr: 2.0000e-05 eta: 0:09:25 time: 0.2156 data_time: 0.0125 memory: 11037 grad_norm: 12.5908 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/08/08 16:50:03 - mmengine - INFO - Epoch(train) [47][320/673] lr: 2.0000e-05 eta: 0:09:20 time: 0.2385 data_time: 0.0148 memory: 11037 grad_norm: 12.0449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/08 16:50:08 - mmengine - INFO - Epoch(train) [47][340/673] lr: 2.0000e-05 eta: 0:09:15 time: 0.2181 data_time: 0.0131 memory: 11037 grad_norm: 12.6603 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1799 loss: 1.1799 2022/08/08 16:50:12 - mmengine - INFO - Epoch(train) [47][360/673] lr: 2.0000e-05 eta: 0:09:11 time: 0.2188 data_time: 0.0129 memory: 11037 grad_norm: 12.2198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9982 loss: 0.9982 2022/08/08 16:50:16 - mmengine - INFO - Epoch(train) [47][380/673] lr: 2.0000e-05 eta: 0:09:06 time: 0.2156 data_time: 0.0128 memory: 11037 grad_norm: 12.4578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/08 16:50:21 - mmengine - INFO - Epoch(train) [47][400/673] lr: 2.0000e-05 eta: 0:09:01 time: 0.2231 data_time: 0.0138 memory: 11037 grad_norm: 12.3517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1683 loss: 1.1683 2022/08/08 16:50:25 - mmengine - INFO - Epoch(train) [47][420/673] lr: 2.0000e-05 eta: 0:08:56 time: 0.2169 data_time: 0.0117 memory: 11037 grad_norm: 12.0995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0821 loss: 1.0821 2022/08/08 16:50:30 - mmengine - INFO - Epoch(train) [47][440/673] lr: 2.0000e-05 eta: 0:08:52 time: 0.2176 data_time: 0.0127 memory: 11037 grad_norm: 12.1530 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1245 loss: 1.1245 2022/08/08 16:50:34 - mmengine - INFO - Epoch(train) [47][460/673] lr: 2.0000e-05 eta: 0:08:47 time: 0.2162 data_time: 0.0131 memory: 11037 grad_norm: 12.3717 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0727 loss: 1.0727 2022/08/08 16:50:38 - mmengine - INFO - Epoch(train) [47][480/673] lr: 2.0000e-05 eta: 0:08:42 time: 0.2162 data_time: 0.0116 memory: 11037 grad_norm: 12.3784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1266 loss: 1.1266 2022/08/08 16:50:45 - mmengine - INFO - Epoch(train) [47][500/673] lr: 2.0000e-05 eta: 0:08:38 time: 0.3276 data_time: 0.0204 memory: 11037 grad_norm: 12.1267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0608 loss: 1.0608 2022/08/08 16:50:49 - mmengine - INFO - Epoch(train) [47][520/673] lr: 2.0000e-05 eta: 0:08:33 time: 0.2171 data_time: 0.0156 memory: 11037 grad_norm: 12.6958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2044 loss: 1.2044 2022/08/08 16:50:54 - mmengine - INFO - Epoch(train) [47][540/673] lr: 2.0000e-05 eta: 0:08:28 time: 0.2243 data_time: 0.0142 memory: 11037 grad_norm: 12.4316 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0541 loss: 1.0541 2022/08/08 16:50:58 - mmengine - INFO - Epoch(train) [47][560/673] lr: 2.0000e-05 eta: 0:08:23 time: 0.2163 data_time: 0.0122 memory: 11037 grad_norm: 12.2233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0657 loss: 1.0657 2022/08/08 16:51:03 - mmengine - INFO - Epoch(train) [47][580/673] lr: 2.0000e-05 eta: 0:08:19 time: 0.2259 data_time: 0.0147 memory: 11037 grad_norm: 12.1102 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1453 loss: 1.1453 2022/08/08 16:51:07 - mmengine - INFO - Epoch(train) [47][600/673] lr: 2.0000e-05 eta: 0:08:14 time: 0.2176 data_time: 0.0141 memory: 11037 grad_norm: 12.2405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1089 loss: 1.1089 2022/08/08 16:51:11 - mmengine - INFO - Epoch(train) [47][620/673] lr: 2.0000e-05 eta: 0:08:09 time: 0.2192 data_time: 0.0127 memory: 11037 grad_norm: 12.6102 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0491 loss: 1.0491 2022/08/08 16:51:16 - mmengine - INFO - Epoch(train) [47][640/673] lr: 2.0000e-05 eta: 0:08:04 time: 0.2175 data_time: 0.0135 memory: 11037 grad_norm: 12.1094 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0165 loss: 1.0165 2022/08/08 16:51:20 - mmengine - INFO - Epoch(train) [47][660/673] lr: 2.0000e-05 eta: 0:08:00 time: 0.2181 data_time: 0.0136 memory: 11037 grad_norm: 12.3082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2388 loss: 1.2388 2022/08/08 16:51:23 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:51:23 - mmengine - INFO - Epoch(train) [47][673/673] lr: 2.0000e-05 eta: 0:08:00 time: 0.2203 data_time: 0.0142 memory: 11037 grad_norm: 14.6228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1789 loss: 1.1789 2022/08/08 16:51:23 - mmengine - INFO - Saving checkpoint at 47 epochs 2022/08/08 16:51:27 - mmengine - INFO - Epoch(val) [47][20/91] eta: 0:00:05 time: 0.0773 data_time: 0.0170 memory: 1858 2022/08/08 16:51:28 - mmengine - INFO - Epoch(val) [47][40/91] eta: 0:00:03 time: 0.0701 data_time: 0.0122 memory: 1858 2022/08/08 16:51:29 - mmengine - INFO - Epoch(val) [47][60/91] eta: 0:00:02 time: 0.0666 data_time: 0.0099 memory: 1858 2022/08/08 16:51:31 - mmengine - INFO - Epoch(val) [47][80/91] eta: 0:00:00 time: 0.0648 data_time: 0.0095 memory: 1858 2022/08/08 16:51:32 - mmengine - INFO - Epoch(val) [47][91/91] acc/top1: 0.3140 acc/top5: 0.6015 acc/mean1: 0.2822 2022/08/08 16:51:32 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:51:36 - mmengine - INFO - Epoch(train) [48][20/673] lr: 2.0000e-05 eta: 0:07:52 time: 0.2287 data_time: 0.0235 memory: 11037 grad_norm: 12.2699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/08/08 16:51:41 - mmengine - INFO - Epoch(train) [48][40/673] lr: 2.0000e-05 eta: 0:07:47 time: 0.2278 data_time: 0.0131 memory: 11037 grad_norm: 11.8552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/08/08 16:51:45 - mmengine - INFO - Epoch(train) [48][60/673] lr: 2.0000e-05 eta: 0:07:42 time: 0.2160 data_time: 0.0155 memory: 11037 grad_norm: 12.3592 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/08/08 16:51:50 - mmengine - INFO - Epoch(train) [48][80/673] lr: 2.0000e-05 eta: 0:07:37 time: 0.2155 data_time: 0.0123 memory: 11037 grad_norm: 12.2228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/08/08 16:51:54 - mmengine - INFO - Epoch(train) [48][100/673] lr: 2.0000e-05 eta: 0:07:33 time: 0.2216 data_time: 0.0139 memory: 11037 grad_norm: 12.4736 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1099 loss: 1.1099 2022/08/08 16:51:58 - mmengine - INFO - Epoch(train) [48][120/673] lr: 2.0000e-05 eta: 0:07:28 time: 0.2168 data_time: 0.0140 memory: 11037 grad_norm: 12.0425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1840 loss: 1.1840 2022/08/08 16:52:03 - mmengine - INFO - Epoch(train) [48][140/673] lr: 2.0000e-05 eta: 0:07:23 time: 0.2504 data_time: 0.0146 memory: 11037 grad_norm: 11.9706 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1606 loss: 1.1606 2022/08/08 16:52:08 - mmengine - INFO - Epoch(train) [48][160/673] lr: 2.0000e-05 eta: 0:07:18 time: 0.2172 data_time: 0.0131 memory: 11037 grad_norm: 12.4571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/08/08 16:52:12 - mmengine - INFO - Epoch(train) [48][180/673] lr: 2.0000e-05 eta: 0:07:14 time: 0.2245 data_time: 0.0127 memory: 11037 grad_norm: 12.0599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0355 loss: 1.0355 2022/08/08 16:52:17 - mmengine - INFO - Epoch(train) [48][200/673] lr: 2.0000e-05 eta: 0:07:09 time: 0.2180 data_time: 0.0147 memory: 11037 grad_norm: 12.5246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/08/08 16:52:21 - mmengine - INFO - Epoch(train) [48][220/673] lr: 2.0000e-05 eta: 0:07:04 time: 0.2185 data_time: 0.0130 memory: 11037 grad_norm: 12.1163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9476 loss: 0.9476 2022/08/08 16:52:25 - mmengine - INFO - Epoch(train) [48][240/673] lr: 2.0000e-05 eta: 0:06:59 time: 0.2170 data_time: 0.0124 memory: 11037 grad_norm: 12.3524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/08/08 16:52:30 - mmengine - INFO - Epoch(train) [48][260/673] lr: 2.0000e-05 eta: 0:06:55 time: 0.2177 data_time: 0.0133 memory: 11037 grad_norm: 12.4910 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1992 loss: 1.1992 2022/08/08 16:52:34 - mmengine - INFO - Epoch(train) [48][280/673] lr: 2.0000e-05 eta: 0:06:50 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 12.0808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/08 16:52:38 - mmengine - INFO - Epoch(train) [48][300/673] lr: 2.0000e-05 eta: 0:06:45 time: 0.2158 data_time: 0.0119 memory: 11037 grad_norm: 12.2283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1936 loss: 1.1936 2022/08/08 16:52:43 - mmengine - INFO - Epoch(train) [48][320/673] lr: 2.0000e-05 eta: 0:06:40 time: 0.2198 data_time: 0.0137 memory: 11037 grad_norm: 11.9026 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1330 loss: 1.1330 2022/08/08 16:52:47 - mmengine - INFO - Epoch(train) [48][340/673] lr: 2.0000e-05 eta: 0:06:36 time: 0.2147 data_time: 0.0137 memory: 11037 grad_norm: 12.2685 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1438 loss: 1.1438 2022/08/08 16:52:52 - mmengine - INFO - Epoch(train) [48][360/673] lr: 2.0000e-05 eta: 0:06:31 time: 0.2319 data_time: 0.0133 memory: 11037 grad_norm: 12.0097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/08/08 16:52:54 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:52:56 - mmengine - INFO - Epoch(train) [48][380/673] lr: 2.0000e-05 eta: 0:06:26 time: 0.2178 data_time: 0.0133 memory: 11037 grad_norm: 12.7561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1439 loss: 1.1439 2022/08/08 16:53:01 - mmengine - INFO - Epoch(train) [48][400/673] lr: 2.0000e-05 eta: 0:06:22 time: 0.2309 data_time: 0.0155 memory: 11037 grad_norm: 12.4742 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1115 loss: 1.1115 2022/08/08 16:53:05 - mmengine - INFO - Epoch(train) [48][420/673] lr: 2.0000e-05 eta: 0:06:17 time: 0.2181 data_time: 0.0132 memory: 11037 grad_norm: 12.3658 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1021 loss: 1.1021 2022/08/08 16:53:09 - mmengine - INFO - Epoch(train) [48][440/673] lr: 2.0000e-05 eta: 0:06:12 time: 0.2159 data_time: 0.0135 memory: 11037 grad_norm: 12.1596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1656 loss: 1.1656 2022/08/08 16:53:14 - mmengine - INFO - Epoch(train) [48][460/673] lr: 2.0000e-05 eta: 0:06:07 time: 0.2382 data_time: 0.0140 memory: 11037 grad_norm: 12.4058 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1844 loss: 1.1844 2022/08/08 16:53:19 - mmengine - INFO - Epoch(train) [48][480/673] lr: 2.0000e-05 eta: 0:06:03 time: 0.2166 data_time: 0.0125 memory: 11037 grad_norm: 12.0794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/08/08 16:53:23 - mmengine - INFO - Epoch(train) [48][500/673] lr: 2.0000e-05 eta: 0:05:58 time: 0.2182 data_time: 0.0141 memory: 11037 grad_norm: 12.4180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/08/08 16:53:27 - mmengine - INFO - Epoch(train) [48][520/673] lr: 2.0000e-05 eta: 0:05:53 time: 0.2182 data_time: 0.0131 memory: 11037 grad_norm: 11.8916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/08 16:53:32 - mmengine - INFO - Epoch(train) [48][540/673] lr: 2.0000e-05 eta: 0:05:48 time: 0.2406 data_time: 0.0145 memory: 11037 grad_norm: 12.0893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9376 loss: 0.9376 2022/08/08 16:53:36 - mmengine - INFO - Epoch(train) [48][560/673] lr: 2.0000e-05 eta: 0:05:44 time: 0.2177 data_time: 0.0142 memory: 11037 grad_norm: 11.9868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0873 loss: 1.0873 2022/08/08 16:53:41 - mmengine - INFO - Epoch(train) [48][580/673] lr: 2.0000e-05 eta: 0:05:39 time: 0.2188 data_time: 0.0141 memory: 11037 grad_norm: 12.1542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/08/08 16:53:45 - mmengine - INFO - Epoch(train) [48][600/673] lr: 2.0000e-05 eta: 0:05:34 time: 0.2161 data_time: 0.0134 memory: 11037 grad_norm: 12.1348 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0003 loss: 1.0003 2022/08/08 16:53:50 - mmengine - INFO - Epoch(train) [48][620/673] lr: 2.0000e-05 eta: 0:05:29 time: 0.2163 data_time: 0.0128 memory: 11037 grad_norm: 11.8678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1814 loss: 1.1814 2022/08/08 16:53:54 - mmengine - INFO - Epoch(train) [48][640/673] lr: 2.0000e-05 eta: 0:05:25 time: 0.2236 data_time: 0.0139 memory: 11037 grad_norm: 11.9427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1401 loss: 1.1401 2022/08/08 16:53:58 - mmengine - INFO - Epoch(train) [48][660/673] lr: 2.0000e-05 eta: 0:05:20 time: 0.2165 data_time: 0.0137 memory: 11037 grad_norm: 11.9163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/08 16:54:01 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:54:01 - mmengine - INFO - Epoch(train) [48][673/673] lr: 2.0000e-05 eta: 0:05:20 time: 0.2206 data_time: 0.0149 memory: 11037 grad_norm: 14.3353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1297 loss: 1.1297 2022/08/08 16:54:01 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/08 16:54:05 - mmengine - INFO - Epoch(val) [48][20/91] eta: 0:00:05 time: 0.0775 data_time: 0.0164 memory: 1858 2022/08/08 16:54:06 - mmengine - INFO - Epoch(val) [48][40/91] eta: 0:00:03 time: 0.0668 data_time: 0.0107 memory: 1858 2022/08/08 16:54:08 - mmengine - INFO - Epoch(val) [48][60/91] eta: 0:00:02 time: 0.0671 data_time: 0.0111 memory: 1858 2022/08/08 16:54:09 - mmengine - INFO - Epoch(val) [48][80/91] eta: 0:00:00 time: 0.0627 data_time: 0.0087 memory: 1858 2022/08/08 16:54:10 - mmengine - INFO - Epoch(val) [48][91/91] acc/top1: 0.3157 acc/top5: 0.6009 acc/mean1: 0.2854 2022/08/08 16:54:10 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:54:15 - mmengine - INFO - Epoch(train) [49][20/673] lr: 2.0000e-05 eta: 0:05:12 time: 0.2247 data_time: 0.0221 memory: 11037 grad_norm: 12.1980 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/08 16:54:19 - mmengine - INFO - Epoch(train) [49][40/673] lr: 2.0000e-05 eta: 0:05:07 time: 0.2169 data_time: 0.0116 memory: 11037 grad_norm: 12.7402 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0455 loss: 1.0455 2022/08/08 16:54:24 - mmengine - INFO - Epoch(train) [49][60/673] lr: 2.0000e-05 eta: 0:05:03 time: 0.2303 data_time: 0.0130 memory: 11037 grad_norm: 12.1987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1261 loss: 1.1261 2022/08/08 16:54:28 - mmengine - INFO - Epoch(train) [49][80/673] lr: 2.0000e-05 eta: 0:04:58 time: 0.2175 data_time: 0.0138 memory: 11037 grad_norm: 12.4082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0228 loss: 1.0228 2022/08/08 16:54:32 - mmengine - INFO - Epoch(train) [49][100/673] lr: 2.0000e-05 eta: 0:04:53 time: 0.2155 data_time: 0.0123 memory: 11037 grad_norm: 12.3400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2306 loss: 1.2306 2022/08/08 16:54:37 - mmengine - INFO - Epoch(train) [49][120/673] lr: 2.0000e-05 eta: 0:04:48 time: 0.2160 data_time: 0.0132 memory: 11037 grad_norm: 12.2454 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2344 loss: 1.2344 2022/08/08 16:54:41 - mmengine - INFO - Epoch(train) [49][140/673] lr: 2.0000e-05 eta: 0:04:44 time: 0.2292 data_time: 0.0146 memory: 11037 grad_norm: 12.0048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9466 loss: 0.9466 2022/08/08 16:54:45 - mmengine - INFO - Epoch(train) [49][160/673] lr: 2.0000e-05 eta: 0:04:39 time: 0.2171 data_time: 0.0133 memory: 11037 grad_norm: 12.2371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/08/08 16:54:50 - mmengine - INFO - Epoch(train) [49][180/673] lr: 2.0000e-05 eta: 0:04:34 time: 0.2168 data_time: 0.0113 memory: 11037 grad_norm: 12.4127 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/08 16:54:54 - mmengine - INFO - Epoch(train) [49][200/673] lr: 2.0000e-05 eta: 0:04:30 time: 0.2237 data_time: 0.0142 memory: 11037 grad_norm: 12.5266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0489 loss: 1.0489 2022/08/08 16:54:59 - mmengine - INFO - Epoch(train) [49][220/673] lr: 2.0000e-05 eta: 0:04:25 time: 0.2176 data_time: 0.0133 memory: 11037 grad_norm: 12.3379 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0317 loss: 1.0317 2022/08/08 16:55:03 - mmengine - INFO - Epoch(train) [49][240/673] lr: 2.0000e-05 eta: 0:04:20 time: 0.2248 data_time: 0.0126 memory: 11037 grad_norm: 12.1898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0779 loss: 1.0779 2022/08/08 16:55:07 - mmengine - INFO - Epoch(train) [49][260/673] lr: 2.0000e-05 eta: 0:04:15 time: 0.2185 data_time: 0.0145 memory: 11037 grad_norm: 12.1871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1091 loss: 1.1091 2022/08/08 16:55:12 - mmengine - INFO - Epoch(train) [49][280/673] lr: 2.0000e-05 eta: 0:04:11 time: 0.2191 data_time: 0.0140 memory: 11037 grad_norm: 12.0272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0181 loss: 1.0181 2022/08/08 16:55:16 - mmengine - INFO - Epoch(train) [49][300/673] lr: 2.0000e-05 eta: 0:04:06 time: 0.2161 data_time: 0.0131 memory: 11037 grad_norm: 12.0263 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0235 loss: 1.0235 2022/08/08 16:55:21 - mmengine - INFO - Epoch(train) [49][320/673] lr: 2.0000e-05 eta: 0:04:01 time: 0.2214 data_time: 0.0123 memory: 11037 grad_norm: 11.9447 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0130 loss: 1.0130 2022/08/08 16:55:25 - mmengine - INFO - Epoch(train) [49][340/673] lr: 2.0000e-05 eta: 0:03:57 time: 0.2215 data_time: 0.0131 memory: 11037 grad_norm: 12.5750 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1003 loss: 1.1003 2022/08/08 16:55:29 - mmengine - INFO - Epoch(train) [49][360/673] lr: 2.0000e-05 eta: 0:03:52 time: 0.2171 data_time: 0.0127 memory: 11037 grad_norm: 12.5893 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/08/08 16:55:34 - mmengine - INFO - Epoch(train) [49][380/673] lr: 2.0000e-05 eta: 0:03:47 time: 0.2181 data_time: 0.0142 memory: 11037 grad_norm: 12.1883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0618 loss: 1.0618 2022/08/08 16:55:38 - mmengine - INFO - Epoch(train) [49][400/673] lr: 2.0000e-05 eta: 0:03:42 time: 0.2157 data_time: 0.0128 memory: 11037 grad_norm: 12.3931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/08/08 16:55:43 - mmengine - INFO - Epoch(train) [49][420/673] lr: 2.0000e-05 eta: 0:03:38 time: 0.2334 data_time: 0.0155 memory: 11037 grad_norm: 12.1069 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/08/08 16:55:47 - mmengine - INFO - Epoch(train) [49][440/673] lr: 2.0000e-05 eta: 0:03:33 time: 0.2162 data_time: 0.0133 memory: 11037 grad_norm: 12.0534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/08 16:55:51 - mmengine - INFO - Epoch(train) [49][460/673] lr: 2.0000e-05 eta: 0:03:28 time: 0.2170 data_time: 0.0133 memory: 11037 grad_norm: 12.1714 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0501 loss: 1.0501 2022/08/08 16:55:56 - mmengine - INFO - Epoch(train) [49][480/673] lr: 2.0000e-05 eta: 0:03:23 time: 0.2171 data_time: 0.0117 memory: 11037 grad_norm: 12.3944 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1422 loss: 1.1422 2022/08/08 16:56:00 - mmengine - INFO - Epoch(train) [49][500/673] lr: 2.0000e-05 eta: 0:03:19 time: 0.2175 data_time: 0.0133 memory: 11037 grad_norm: 12.5409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9552 loss: 0.9552 2022/08/08 16:56:05 - mmengine - INFO - Epoch(train) [49][520/673] lr: 2.0000e-05 eta: 0:03:14 time: 0.2241 data_time: 0.0135 memory: 11037 grad_norm: 12.4873 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/08/08 16:56:09 - mmengine - INFO - Epoch(train) [49][540/673] lr: 2.0000e-05 eta: 0:03:09 time: 0.2177 data_time: 0.0127 memory: 11037 grad_norm: 12.0523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0951 loss: 1.0951 2022/08/08 16:56:13 - mmengine - INFO - Epoch(train) [49][560/673] lr: 2.0000e-05 eta: 0:03:05 time: 0.2198 data_time: 0.0145 memory: 11037 grad_norm: 12.1398 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0285 loss: 1.0285 2022/08/08 16:56:18 - mmengine - INFO - Epoch(train) [49][580/673] lr: 2.0000e-05 eta: 0:03:00 time: 0.2162 data_time: 0.0124 memory: 11037 grad_norm: 12.4555 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2150 loss: 1.2150 2022/08/08 16:56:22 - mmengine - INFO - Epoch(train) [49][600/673] lr: 2.0000e-05 eta: 0:02:55 time: 0.2288 data_time: 0.0156 memory: 11037 grad_norm: 12.1904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/08/08 16:56:27 - mmengine - INFO - Epoch(train) [49][620/673] lr: 2.0000e-05 eta: 0:02:50 time: 0.2183 data_time: 0.0141 memory: 11037 grad_norm: 12.3398 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9178 loss: 0.9178 2022/08/08 16:56:31 - mmengine - INFO - Epoch(train) [49][640/673] lr: 2.0000e-05 eta: 0:02:46 time: 0.2173 data_time: 0.0127 memory: 11037 grad_norm: 12.4023 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/08/08 16:56:35 - mmengine - INFO - Epoch(train) [49][660/673] lr: 2.0000e-05 eta: 0:02:41 time: 0.2174 data_time: 0.0134 memory: 11037 grad_norm: 12.4527 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1778 loss: 1.1778 2022/08/08 16:56:38 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:56:38 - mmengine - INFO - Epoch(train) [49][673/673] lr: 2.0000e-05 eta: 0:02:41 time: 0.2112 data_time: 0.0133 memory: 11037 grad_norm: 15.2101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1130 loss: 1.1130 2022/08/08 16:56:38 - mmengine - INFO - Saving checkpoint at 49 epochs 2022/08/08 16:56:42 - mmengine - INFO - Epoch(val) [49][20/91] eta: 0:00:05 time: 0.0816 data_time: 0.0178 memory: 1858 2022/08/08 16:56:43 - mmengine - INFO - Epoch(val) [49][40/91] eta: 0:00:03 time: 0.0697 data_time: 0.0108 memory: 1858 2022/08/08 16:56:45 - mmengine - INFO - Epoch(val) [49][60/91] eta: 0:00:02 time: 0.0664 data_time: 0.0101 memory: 1858 2022/08/08 16:56:46 - mmengine - INFO - Epoch(val) [49][80/91] eta: 0:00:00 time: 0.0631 data_time: 0.0088 memory: 1858 2022/08/08 16:56:47 - mmengine - INFO - Epoch(val) [49][91/91] acc/top1: 0.3120 acc/top5: 0.6015 acc/mean1: 0.2805 2022/08/08 16:56:47 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:56:51 - mmengine - INFO - Epoch(train) [50][20/673] lr: 2.0000e-05 eta: 0:02:33 time: 0.2258 data_time: 0.0201 memory: 11037 grad_norm: 12.4999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0812 loss: 1.0812 2022/08/08 16:56:52 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:56:56 - mmengine - INFO - Epoch(train) [50][40/673] lr: 2.0000e-05 eta: 0:02:28 time: 0.2158 data_time: 0.0127 memory: 11037 grad_norm: 12.3655 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/08/08 16:57:00 - mmengine - INFO - Epoch(train) [50][60/673] lr: 2.0000e-05 eta: 0:02:24 time: 0.2173 data_time: 0.0118 memory: 11037 grad_norm: 11.7956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/08/08 16:57:05 - mmengine - INFO - Epoch(train) [50][80/673] lr: 2.0000e-05 eta: 0:02:19 time: 0.2226 data_time: 0.0151 memory: 11037 grad_norm: 11.9683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9885 loss: 0.9885 2022/08/08 16:57:09 - mmengine - INFO - Epoch(train) [50][100/673] lr: 2.0000e-05 eta: 0:02:14 time: 0.2179 data_time: 0.0134 memory: 11037 grad_norm: 12.2531 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/08/08 16:57:13 - mmengine - INFO - Epoch(train) [50][120/673] lr: 2.0000e-05 eta: 0:02:10 time: 0.2285 data_time: 0.0140 memory: 11037 grad_norm: 12.3809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1256 loss: 1.1256 2022/08/08 16:57:18 - mmengine - INFO - Epoch(train) [50][140/673] lr: 2.0000e-05 eta: 0:02:05 time: 0.2177 data_time: 0.0135 memory: 11037 grad_norm: 12.0527 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1077 loss: 1.1077 2022/08/08 16:57:22 - mmengine - INFO - Epoch(train) [50][160/673] lr: 2.0000e-05 eta: 0:02:00 time: 0.2303 data_time: 0.0166 memory: 11037 grad_norm: 12.0694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9471 loss: 0.9471 2022/08/08 16:57:27 - mmengine - INFO - Epoch(train) [50][180/673] lr: 2.0000e-05 eta: 0:01:55 time: 0.2169 data_time: 0.0120 memory: 11037 grad_norm: 12.1221 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/08/08 16:57:31 - mmengine - INFO - Epoch(train) [50][200/673] lr: 2.0000e-05 eta: 0:01:51 time: 0.2200 data_time: 0.0138 memory: 11037 grad_norm: 12.4388 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2119 loss: 1.2119 2022/08/08 16:57:36 - mmengine - INFO - Epoch(train) [50][220/673] lr: 2.0000e-05 eta: 0:01:46 time: 0.2151 data_time: 0.0130 memory: 11037 grad_norm: 12.1451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9628 loss: 0.9628 2022/08/08 16:57:40 - mmengine - INFO - Epoch(train) [50][240/673] lr: 2.0000e-05 eta: 0:01:41 time: 0.2162 data_time: 0.0131 memory: 11037 grad_norm: 12.2700 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1046 loss: 1.1046 2022/08/08 16:57:44 - mmengine - INFO - Epoch(train) [50][260/673] lr: 2.0000e-05 eta: 0:01:37 time: 0.2302 data_time: 0.0153 memory: 11037 grad_norm: 12.3829 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2189 loss: 1.2189 2022/08/08 16:57:49 - mmengine - INFO - Epoch(train) [50][280/673] lr: 2.0000e-05 eta: 0:01:32 time: 0.2165 data_time: 0.0130 memory: 11037 grad_norm: 12.3003 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.1055 loss: 1.1055 2022/08/08 16:57:53 - mmengine - INFO - Epoch(train) [50][300/673] lr: 2.0000e-05 eta: 0:01:27 time: 0.2291 data_time: 0.0125 memory: 11037 grad_norm: 12.8169 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1596 loss: 1.1596 2022/08/08 16:57:58 - mmengine - INFO - Epoch(train) [50][320/673] lr: 2.0000e-05 eta: 0:01:23 time: 0.2178 data_time: 0.0140 memory: 11037 grad_norm: 12.0293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/08/08 16:58:02 - mmengine - INFO - Epoch(train) [50][340/673] lr: 2.0000e-05 eta: 0:01:18 time: 0.2221 data_time: 0.0138 memory: 11037 grad_norm: 12.2422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/08 16:58:06 - mmengine - INFO - Epoch(train) [50][360/673] lr: 2.0000e-05 eta: 0:01:13 time: 0.2159 data_time: 0.0125 memory: 11037 grad_norm: 11.8005 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0257 loss: 1.0257 2022/08/08 16:58:11 - mmengine - INFO - Epoch(train) [50][380/673] lr: 2.0000e-05 eta: 0:01:08 time: 0.2183 data_time: 0.0131 memory: 11037 grad_norm: 11.8734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/08/08 16:58:16 - mmengine - INFO - Epoch(train) [50][400/673] lr: 2.0000e-05 eta: 0:01:04 time: 0.2403 data_time: 0.0149 memory: 11037 grad_norm: 12.2140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/08/08 16:58:20 - mmengine - INFO - Epoch(train) [50][420/673] lr: 2.0000e-05 eta: 0:00:59 time: 0.2165 data_time: 0.0127 memory: 11037 grad_norm: 12.1832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1234 loss: 1.1234 2022/08/08 16:58:24 - mmengine - INFO - Epoch(train) [50][440/673] lr: 2.0000e-05 eta: 0:00:54 time: 0.2186 data_time: 0.0136 memory: 11037 grad_norm: 12.6359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1781 loss: 1.1781 2022/08/08 16:58:29 - mmengine - INFO - Epoch(train) [50][460/673] lr: 2.0000e-05 eta: 0:00:50 time: 0.2176 data_time: 0.0131 memory: 11037 grad_norm: 12.4736 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0439 loss: 1.0439 2022/08/08 16:58:33 - mmengine - INFO - Epoch(train) [50][480/673] lr: 2.0000e-05 eta: 0:00:45 time: 0.2186 data_time: 0.0120 memory: 11037 grad_norm: 12.7889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/08/08 16:58:37 - mmengine - INFO - Epoch(train) [50][500/673] lr: 2.0000e-05 eta: 0:00:40 time: 0.2180 data_time: 0.0139 memory: 11037 grad_norm: 11.8644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/08 16:58:42 - mmengine - INFO - Epoch(train) [50][520/673] lr: 2.0000e-05 eta: 0:00:35 time: 0.2189 data_time: 0.0133 memory: 11037 grad_norm: 12.1088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/08/08 16:58:46 - mmengine - INFO - Epoch(train) [50][540/673] lr: 2.0000e-05 eta: 0:00:31 time: 0.2169 data_time: 0.0131 memory: 11037 grad_norm: 12.2818 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9955 loss: 0.9955 2022/08/08 16:58:51 - mmengine - INFO - Epoch(train) [50][560/673] lr: 2.0000e-05 eta: 0:00:26 time: 0.2164 data_time: 0.0126 memory: 11037 grad_norm: 12.4203 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1648 loss: 1.1648 2022/08/08 16:58:55 - mmengine - INFO - Epoch(train) [50][580/673] lr: 2.0000e-05 eta: 0:00:21 time: 0.2178 data_time: 0.0133 memory: 11037 grad_norm: 12.3997 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8597 loss: 0.8597 2022/08/08 16:58:59 - mmengine - INFO - Epoch(train) [50][600/673] lr: 2.0000e-05 eta: 0:00:17 time: 0.2174 data_time: 0.0129 memory: 11037 grad_norm: 12.5945 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1640 loss: 1.1640 2022/08/08 16:59:04 - mmengine - INFO - Epoch(train) [50][620/673] lr: 2.0000e-05 eta: 0:00:12 time: 0.2191 data_time: 0.0142 memory: 11037 grad_norm: 12.1628 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0607 loss: 1.0607 2022/08/08 16:59:08 - mmengine - INFO - Epoch(train) [50][640/673] lr: 2.0000e-05 eta: 0:00:07 time: 0.2168 data_time: 0.0130 memory: 11037 grad_norm: 12.4551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2252 loss: 1.2252 2022/08/08 16:59:12 - mmengine - INFO - Epoch(train) [50][660/673] lr: 2.0000e-05 eta: 0:00:03 time: 0.2189 data_time: 0.0126 memory: 11037 grad_norm: 12.2739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/08/08 16:59:15 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv1_rgb_20220808_143221 2022/08/08 16:59:15 - mmengine - INFO - Epoch(train) [50][673/673] lr: 2.0000e-05 eta: 0:00:03 time: 0.2212 data_time: 0.0143 memory: 11037 grad_norm: 15.2475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0361 loss: 1.0361 2022/08/08 16:59:15 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/08 16:59:19 - mmengine - INFO - Epoch(val) [50][20/91] eta: 0:00:05 time: 0.0781 data_time: 0.0182 memory: 1858 2022/08/08 16:59:21 - mmengine - INFO - Epoch(val) [50][40/91] eta: 0:00:03 time: 0.0681 data_time: 0.0112 memory: 1858 2022/08/08 16:59:22 - mmengine - INFO - Epoch(val) [50][60/91] eta: 0:00:02 time: 0.0663 data_time: 0.0099 memory: 1858 2022/08/08 16:59:23 - mmengine - INFO - Epoch(val) [50][80/91] eta: 0:00:00 time: 0.0628 data_time: 0.0086 memory: 1858 2022/08/08 16:59:24 - mmengine - INFO - Epoch(val) [50][91/91] acc/top1: 0.3147 acc/top5: 0.6028 acc/mean1: 0.2849